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1,802.0426
Potentialities of the future technical improvements in the search of rare nuclear decays by bolometers
Bolometers are cryogenic calorimeters which feature excellent energy resolution, low energy threshold, high detection efficiency, flexibility in choice of materials, particle identification capability if operated as hybrid devices. After thirty years of rapid progresses, they represent nowadays a leading technology in several fields: particle and nuclear physics, X-ray astrophysics, cosmology. However, further and substantial developments are required to increase the sensitivity to the levels envisioned by future researches. A review of the challenges to be addressed and potentialities of bolometers in the search for rare nuclear decays is given, with particular emphasis to the neutrinoless double beta decay physics case.
physics.ins-det nucl-ex
bolometers are cryogenic calorimeters which feature excellent energy resolution low energy threshold high detection efficiency flexibility in choice of materials particle identification capability if operated as hybrid devices after thirty years of rapid progresses they represent nowadays a leading technology in several fields particle and nuclear physics xray astrophysics cosmology however further and substantial developments are required to increase the sensitivity to the levels envisioned by future researches a review of the challenges to be addressed and potentialities of bolometers in the search for rare nuclear decays is given with particular emphasis to the neutrinoless double beta decay physics case
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1,802.04261
Refractive-index-sensing radio-frequency comb with intracavity multi-mode interference fibre sensor
Optical frequency combs have attracted attention as optical frequency rulers due to their tooth-like discrete spectra together with their inherent mode-locking nature and phase-locking control to a frequency standard. Based on this concept, their applications until now have been demonstrated in the fields of optical frequency metrology and optical distance metrology. However, if the utility of optical combs can be further expanded beyond their optical-frequency-ruler-based application by exploiting new aspects of optical combs, this will lead to new developments in optical metrology and instrumentation. Here, we report a fibre sensing application of optical combs based on a coherent frequency link between the optical and radio-frequency regions, enabling high-precision refractive index measurement of a liquid sample based on frequency measurement in radio-frequency region. Our technique encodes a refractive index change of a liquid sample into a radio-frequency comb by a combination of an intracavity multi-mode-interference fibre sensor and wavelength dispersion of a cavity fibre. Then, the change in refractive index is read out by measuring the repetition frequency of the radio-frequency comb with a frequency counter and a frequency standard. Use of an optical comb as a photonic radio-frequency converter will lead to the development of new applications in high-precision fibre sensing with the help of functional fibre sensors and precise radio-frequency measurement.
physics.app-ph physics.optics
optical frequency combs have attracted attention as optical frequency rulers due to their toothlike discrete spectra together with their inherent modelocking nature and phaselocking control to a frequency standard based on this concept their applications until now have been demonstrated in the fields of optical frequency metrology and optical distance metrology however if the utility of optical combs can be further expanded beyond their opticalfrequencyrulerbased application by exploiting new aspects of optical combs this will lead to new developments in optical metrology and instrumentation here we report a fibre sensing application of optical combs based on a coherent frequency link between the optical and radiofrequency regions enabling highprecision refractive index measurement of a liquid sample based on frequency measurement in radiofrequency region our technique encodes a refractive index change of a liquid sample into a radiofrequency comb by a combination of an intracavity multimodeinterference fibre sensor and wavelength dispersion of a cavity fibre then the change in refractive index is read out by measuring the repetition frequency of the radiofrequency comb with a frequency counter and a frequency standard use of an optical comb as a photonic radiofrequency converter will lead to the development of new applications in highprecision fibre sensing with the help of functional fibre sensors and precise radiofrequency measurement
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1,802.04262
Existence and Uniqueness of Nonlocal Boundary Conditions for Hilfer-Hadamard-Type Fractional Differential Equations
In this paper, we used some theorems of fixed point for studying the results of existence and uniqueness for Hilfer-Hadamard-Type fractional differential equations, \[_{H}D^{\alpha,\beta}x(t)+f(t,x(t))=0, \hbox{ on the interval } J:=(1,e]\] with nonlinear boundary value problems \[x(1+\epsilon)=\sum_{i=1}^{n-2}\nu_{i}x(\zeta_{i}), \quad\quad\quad~_{H}D^{1,1}x(e) = \sum_{i=1}^{n-2} \sigma_i~_{H} D^{1,1}x(\zeta_{i})\]
math.AP
in this paper we used some theorems of fixed point for studying the results of existence and uniqueness for hilferhadamardtype fractional differential equations _hdalphabetaxtftxt0 hbox on the interval j1e with nonlinear boundary value problems x1epsilonsum_i1n2nu_ixzeta_i quadquadquad_hd11xe sum_i1n2 sigma_i_h d11xzeta_i
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1,802.04263
Generalized hypergeometric solutions of the Heun equation
We present infinitely many solutions of the general Heun equation in terms of generalized hypergeometric functions. Each solution assumes that two restrictions are imposed on the involved parameters: a characteristic exponent of one of the singularities should be a non-zero integer, and the accessory parameter must satisfy a polynomial equation.
math.CA
we present infinitely many solutions of the general heun equation in terms of generalized hypergeometric functions each solution assumes that two restrictions are imposed on the involved parameters a characteristic exponent of one of the singularities should be a nonzero integer and the accessory parameter must satisfy a polynomial equation
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1,802.04264
White Holes as Remnants: A Surprising Scenario for the End of a Black Hole
Quantum tunneling of a black hole into a white hole provides a model for the full life cycle of a black hole. The white hole acts as a long-lived remnant, solving the black-hole information paradox. The remnant solution of the paradox has long been viewed with suspicion, mostly because remnants seemed to be such exotic objects. We point out that (i) established physics includes objects with precisely the required properties for remnants: white holes with small masses but large finite interiors; (ii) non-perturbative quantum-gravity indicates that a black hole tunnels precisely into such a white hole, at the end of its evaporation. We address the objections to the existence of white-hole remnants, discuss their stability, and show how the notions of entropy relevant in this context allow them to evade several no-go arguments. A black hole's formation, evaporation, tunneling to a white hole, and final slow decay, form a unitary process that does not violate any known physics.
gr-qc
quantum tunneling of a black hole into a white hole provides a model for the full life cycle of a black hole the white hole acts as a longlived remnant solving the blackhole information paradox the remnant solution of the paradox has long been viewed with suspicion mostly because remnants seemed to be such exotic objects we point out that i established physics includes objects with precisely the required properties for remnants white holes with small masses but large finite interiors ii nonperturbative quantumgravity indicates that a black hole tunnels precisely into such a white hole at the end of its evaporation we address the objections to the existence of whitehole remnants discuss their stability and show how the notions of entropy relevant in this context allow them to evade several nogo arguments a black holes formation evaporation tunneling to a white hole and final slow decay form a unitary process that does not violate any known physics
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1,802.04265
Study of temporal quantum correlations in decohering B and K meson systems
In this work we study temporal quantum correlations, quantified by Leggett-Garg (LG) and LG-type inequalities, in the $B$ and $K$ meson systems. We use the tools of open quantum systems to incorporate the effect of decoherence which is quantified by a single phenomenological parameter. The effect of $CP$ violation is also included in our analysis. We find that the LG inequality is violated for both $B$ and $K$ meson systems, the violation being most prominent in the case of $K$ mesons and least for $B_s$ system. Since the systems with no coherence do not violate LGI, incorporating \textit{decoherence} is expected to decrease the extent of violation of LGI and is clearly brought out in our results. We show that the expression for the LG functions depends upon an additional term, apart from the experimentally measurable meson transition probabilities. This term vanishes in the limit of zero decoherence. On the other hand, the LG-type parameter can be directly expressed in terms of transition probabilities, making it a more appropriate observable for studying temporal quantum correlations in neutral meson systems.
hep-ph quant-ph
in this work we study temporal quantum correlations quantified by leggettgarg lg and lgtype inequalities in the b and k meson systems we use the tools of open quantum systems to incorporate the effect of decoherence which is quantified by a single phenomenological parameter the effect of cp violation is also included in our analysis we find that the lg inequality is violated for both b and k meson systems the violation being most prominent in the case of k mesons and least for b_s system since the systems with no coherence do not violate lgi incorporating textitdecoherence is expected to decrease the extent of violation of lgi and is clearly brought out in our results we show that the expression for the lg functions depends upon an additional term apart from the experimentally measurable meson transition probabilities this term vanishes in the limit of zero decoherence on the other hand the lgtype parameter can be directly expressed in terms of transition probabilities making it a more appropriate observable for studying temporal quantum correlations in neutral meson systems
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1,802.04266
Probability density of relativistic spinless particles
In this paper, a new conserved current for Klein-Gordon equation is derived. It is shown, for $1+1$-dimensions, the first component of this current is non-negative and reduces to $|\phi|^2$ in non-relativistic limit. Therefore, it can be interpreted as the probability density of spinless particles. In addition, main issues pertaining to localization in relativistic quantum theory are discussed, with a demonstration on how this definition of probability density can overcome such obstacles. Our numerical study indicates that the probability density deviates significantly from $|\phi|^2$ only when the uncertainty in momentum is greater than $m_0c$.
quant-ph hep-th
in this paper a new conserved current for kleingordon equation is derived it is shown for 11dimensions the first component of this current is nonnegative and reduces to phi2 in nonrelativistic limit therefore it can be interpreted as the probability density of spinless particles in addition main issues pertaining to localization in relativistic quantum theory are discussed with a demonstration on how this definition of probability density can overcome such obstacles our numerical study indicates that the probability density deviates significantly from phi2 only when the uncertainty in momentum is greater than m_0c
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1,802.04267
Benchmark of the GEF model for fission-fragment yields over an enlarged range
The GEneral description of Fission observables (GEF) model was developed to produce fission related nuclear data which are of crucial importance for basic and applied nuclear physics. The investigation of the performance of the GEF code is here extended to a region in fissioning-system mass, charge, excitation energy and angular momentum, as well as to new observables, that could not be benchmarked in detail so far. The work focuses on fragment mass and isotopic distributions, benefiting from recent innovative measurements. The approach reveals a high degree of consistency and provides a very reasonable description of the new data. The physics behind specific discrepancies is discussed, and hints to improve on are given. Comparison of the calculation with experiment permits to highlight the influence of the system intrinsic properties, their interplay, and the importance of experimental aspects, namely instrumental resolution. All together points to the necessity of as selective and accurate as possible experimental data, for proper unfolding of the different influences and robust interpretation of the measurement. The GEF code has become a widely used tool for this purpose
nucl-ex
the general description of fission observables gef model was developed to produce fission related nuclear data which are of crucial importance for basic and applied nuclear physics the investigation of the performance of the gef code is here extended to a region in fissioningsystem mass charge excitation energy and angular momentum as well as to new observables that could not be benchmarked in detail so far the work focuses on fragment mass and isotopic distributions benefiting from recent innovative measurements the approach reveals a high degree of consistency and provides a very reasonable description of the new data the physics behind specific discrepancies is discussed and hints to improve on are given comparison of the calculation with experiment permits to highlight the influence of the system intrinsic properties their interplay and the importance of experimental aspects namely instrumental resolution all together points to the necessity of as selective and accurate as possible experimental data for proper unfolding of the different influences and robust interpretation of the measurement the gef code has become a widely used tool for this purpose
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1,802.04268
Photoinduced topologically trivial magnons with finite thermal Hall effect
In two-dimensional (2D) insulating magnets, the thermal Hall effect of magnons is believed to be a consequence of topological magnon insulator with separated magnon bands and a well-defined Chern number. Due to broken time-reversal symmetry the thermal Hall effect vanishes in Dirac magnons. In this paper, we show that periodically driven semi-Dirac magnon in 2D insulating honeycomb ferromagnet results in a photoinduced Dirac magnon at the topological phase transition between a photoinduced topological and trivial magnon insulator. Remarkably, the photoinduced Dirac magnon and the photoinduced trivial magnon insulator possess a nonzero Berry curvature and exhibit a finite thermal Hall effect. These intriguing properties of periodically driven 2D insulating magnets originate from the bosonic nature of magnons. Hence, they are not expected to exist in 2D electronic Floquet systems.
cond-mat.str-el
in twodimensional 2d insulating magnets the thermal hall effect of magnons is believed to be a consequence of topological magnon insulator with separated magnon bands and a welldefined chern number due to broken timereversal symmetry the thermal hall effect vanishes in dirac magnons in this paper we show that periodically driven semidirac magnon in 2d insulating honeycomb ferromagnet results in a photoinduced dirac magnon at the topological phase transition between a photoinduced topological and trivial magnon insulator remarkably the photoinduced dirac magnon and the photoinduced trivial magnon insulator possess a nonzero berry curvature and exhibit a finite thermal hall effect these intriguing properties of periodically driven 2d insulating magnets originate from the bosonic nature of magnons hence they are not expected to exist in 2d electronic floquet systems
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1,802.04269
The non-Integrability of Strings in Massive Type IIA and their Holographic duals
In this work we study various aspects of six-dimensional ${\cal N}=(1,0)$ SCFTs. We consider the construction of their string duals in Massive IIA and discuss some observables in given examples. We study the dynamics of string solitons wrapping and rotating on the Massive IIA background and show that the associated Hamiltonian system is both non-integrable and chaotic, implying the non-integrability of the dual CFT. Our procedure is analytic, using well developed mathematical techniques, and numerical, by the explicit calculation of power spectra, Lyapunov coefficients and Poincar\'e sections.
hep-th
in this work we study various aspects of sixdimensional cal n10 scfts we consider the construction of their string duals in massive iia and discuss some observables in given examples we study the dynamics of string solitons wrapping and rotating on the massive iia background and show that the associated hamiltonian system is both nonintegrable and chaotic implying the nonintegrability of the dual cft our procedure is analytic using well developed mathematical techniques and numerical by the explicit calculation of power spectra lyapunov coefficients and poincare sections
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1,802.0427
Weyl semimetal to metal phase transitions driven by quasiperiodic potentials
We explore the stability of three-dimensional Weyl and Dirac semimetals subject to quasiperiodic potentials. We present numerical evidence that the semimetal is stable for weak quasiperiodic potentials, despite being unstable for weak random potentials. As the quasiperiodic potential strength increases, the semimetal transitions to a metal, then to an "inverted" semimetal, and then finally to a metal again. The semimetal and metal are distinguished by the density of states at the Weyl point, as well as by level statistics, transport, and the momentum-space structure of eigenstates near the Weyl point. The critical properties of the transitions in quasiperiodic systems differ from those in random systems: we do not find a clear critical scaling regime in energy; instead, at the quasiperiodic transitions, the density of states appears to jump abruptly (and discontinuously to within our resolution).
cond-mat.dis-nn cond-mat.stat-mech cond-mat.str-el
we explore the stability of threedimensional weyl and dirac semimetals subject to quasiperiodic potentials we present numerical evidence that the semimetal is stable for weak quasiperiodic potentials despite being unstable for weak random potentials as the quasiperiodic potential strength increases the semimetal transitions to a metal then to an inverted semimetal and then finally to a metal again the semimetal and metal are distinguished by the density of states at the weyl point as well as by level statistics transport and the momentumspace structure of eigenstates near the weyl point the critical properties of the transitions in quasiperiodic systems differ from those in random systems we do not find a clear critical scaling regime in energy instead at the quasiperiodic transitions the density of states appears to jump abruptly and discontinuously to within our resolution
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1,802.04271
Machine learning cosmological structure formation
We train a machine learning algorithm to learn cosmological structure formation from N-body simulations. The algorithm infers the relationship between the initial conditions and the final dark matter haloes, without the need to introduce approximate halo collapse models. We gain insights into the physics driving halo formation by evaluating the predictive performance of the algorithm when provided with different types of information about the local environment around dark matter particles. The algorithm learns to predict whether or not dark matter particles will end up in haloes of a given mass range, based on spherical overdensities. We show that the resulting predictions match those of spherical collapse approximations such as extended Press-Schechter theory. Additional information on the shape of the local gravitational potential is not able to improve halo collapse predictions; the linear density field contains sufficient information for the algorithm to also reproduce ellipsoidal collapse predictions based on the Sheth-Tormen model. We investigate the algorithm's performance in terms of halo mass and radial position and perform blind analyses on independent initial conditions realisations to demonstrate the generality of our results.
astro-ph.CO astro-ph.IM
we train a machine learning algorithm to learn cosmological structure formation from nbody simulations the algorithm infers the relationship between the initial conditions and the final dark matter haloes without the need to introduce approximate halo collapse models we gain insights into the physics driving halo formation by evaluating the predictive performance of the algorithm when provided with different types of information about the local environment around dark matter particles the algorithm learns to predict whether or not dark matter particles will end up in haloes of a given mass range based on spherical overdensities we show that the resulting predictions match those of spherical collapse approximations such as extended pressschechter theory additional information on the shape of the local gravitational potential is not able to improve halo collapse predictions the linear density field contains sufficient information for the algorithm to also reproduce ellipsoidal collapse predictions based on the shethtormen model we investigate the algorithms performance in terms of halo mass and radial position and perform blind analyses on independent initial conditions realisations to demonstrate the generality of our results
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1,802.04272
High redshift extremely red quasars in X-rays
Quasars may have played a key role in limiting the stellar mass of massive galaxies. Identifying those quasars in the process of removing star formation fuel from their hosts is an exciting ongoing challenge in extragalactic astronomy. In this paper we present X-ray observations of eleven extremely red quasars (ERQs) with $L_{\rm bol}\sim 10^{47}$ erg s$^{-1}$ at $z=1.5-3.2$ with evidence for high-velocity ($v > 1000$ km s$^{-1}$) [OIII]$\lambda$5007\AA\ outflows. X-rays allow us to directly probe circumnuclear obscuration and to measure the instantaneous accretion luminosity. We detect ten out of eleven extremely red quasars available in targeted and archival data. Using a combination of X-ray spectral fitting and hardness ratios, we find that all of the ERQs show signs of absorption in the X-rays with inferred column densities of $N_{\rm H}\approx 10^{23}$ cm$^{-2}$, including four Compton-thick candidates ($N_{\rm H} > 10^{24}$ cm$^{-2}$). We stack the X-ray emission of the seven weakly detected sources, measuring an average column density of $N_{\rm H}\sim 8\times 10^{23}$ cm$^{-2}$. The absorption-corrected (intrinsic) $2-10$ keV X-ray luminosity of the stack is $2.7\times 10^{45}$ erg s$^{-1}$, consistent with X-ray luminosities of type 1 quasars of the same infrared luminosity. Thus, we find that ERQs are a highly obscured, borderline Compton-thick population, and based on optical and infrared data we suggest that these objects are partially hidden by their own equatorial outflows. However, unlike some quasars with known outflows, ERQs do not appear to be intrinsically underluminous in X-rays for their bolometric luminosity. Our observations indicate that low X-rays are not necessary to enable some types of radiatively driven winds.
astro-ph.HE astro-ph.GA
quasars may have played a key role in limiting the stellar mass of massive galaxies identifying those quasars in the process of removing star formation fuel from their hosts is an exciting ongoing challenge in extragalactic astronomy in this paper we present xray observations of eleven extremely red quasars erqs with l_rm bolsim 1047 erg s1 at z1532 with evidence for highvelocity v 1000 km s1 oiiilambda5007aa outflows xrays allow us to directly probe circumnuclear obscuration and to measure the instantaneous accretion luminosity we detect ten out of eleven extremely red quasars available in targeted and archival data using a combination of xray spectral fitting and hardness ratios we find that all of the erqs show signs of absorption in the xrays with inferred column densities of n_rm happrox 1023 cm2 including four comptonthick candidates n_rm h 1024 cm2 we stack the xray emission of the seven weakly detected sources measuring an average column density of n_rm hsim 8times 1023 cm2 the absorptioncorrected intrinsic 210 kev xray luminosity of the stack is 27times 1045 erg s1 consistent with xray luminosities of type 1 quasars of the same infrared luminosity thus we find that erqs are a highly obscured borderline comptonthick population and based on optical and infrared data we suggest that these objects are partially hidden by their own equatorial outflows however unlike some quasars with known outflows erqs do not appear to be intrinsically underluminous in xrays for their bolometric luminosity our observations indicate that low xrays are not necessary to enable some types of radiatively driven winds
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1,802.04273
Classification and properties of quantum spin liquids on the hyperhoneycomb lattice
The family of "Kitaev materials" provides an ideal platform to study quantum spin liquids and their neighboring magnetic orders. Motivated by the possibility of a quantum spin liquid ground state in pressurized hyperhoneycomb iridate $\beta$-Li$_2$IrO$_3$, we systematically classify and study symmetric quantum spin liquids on the hyperhoneycomb lattice, using the Abrikosov-fermion representation. Among the 176 symmetric $U(1)$ spin liquids (and 160 $Z_2$ spin liquids), we identify 8 "root" $U(1)$ spin liquids in proximity to the ground state of the solvable Kitave model on hyperhonecyomb lattices. These 8 states are promising candidates for possible $U(1)$ spin liquid ground states in pressurized $\beta$-Li$_2$IrO$_3$. We further discuss physical properties of these 8 $U(1)$ spin liquid candidates, and show that they all support nodal-line-shaped spinon Fermi surfaces.
cond-mat.str-el cond-mat.mtrl-sci
the family of kitaev materials provides an ideal platform to study quantum spin liquids and their neighboring magnetic orders motivated by the possibility of a quantum spin liquid ground state in pressurized hyperhoneycomb iridate betali_2iro_3 we systematically classify and study symmetric quantum spin liquids on the hyperhoneycomb lattice using the abrikosovfermion representation among the 176 symmetric u1 spin liquids and 160 z_2 spin liquids we identify 8 root u1 spin liquids in proximity to the ground state of the solvable kitave model on hyperhonecyomb lattices these 8 states are promising candidates for possible u1 spin liquid ground states in pressurized betali_2iro_3 we further discuss physical properties of these 8 u1 spin liquid candidates and show that they all support nodallineshaped spinon fermi surfaces
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1,802.04274
Third Family Quark-Lepton Unification at the TeV Scale
We construct a model of quark-lepton unification at the TeV scale based on an $SU(4)$ gauge symmetry, while still having acceptable neutrino masses and enough suppression in flavor changing neutral currents. An approximate $U(2)$ flavor symmetry is an artifact of family-dependent gauge charges leading to a natural realization of the CKM mixing matrix. The model predicts sizeable violation of PMNS unitarity as well as a gauge vector leptoquark $U_1^\mu = ({\bf 3}, {\bf 1}, 2/3)$ which can be produced at the LHC -- both effects within the reach of future measurements. In addition, recently reported experimental anomalies in semi-leptonic $B$-meson decays, both in charged $b \to c \tau \nu$ and neutral $b \to s \mu \mu$ currents, can be accommodated.
hep-ph hep-ex
we construct a model of quarklepton unification at the tev scale based on an su4 gauge symmetry while still having acceptable neutrino masses and enough suppression in flavor changing neutral currents an approximate u2 flavor symmetry is an artifact of familydependent gauge charges leading to a natural realization of the ckm mixing matrix the model predicts sizeable violation of pmns unitarity as well as a gauge vector leptoquark u_1mu bf 3 bf 1 23 which can be produced at the lhc both effects within the reach of future measurements in addition recently reported experimental anomalies in semileptonic bmeson decays both in charged b to c tau nu and neutral b to s mu mu currents can be accommodated
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1,802.04275
Neutrino Predictions from Generalized CP Symmetries of Charged Leptons
We study the implications of generalized CP transformations acting on the mass matrices of charged leptons in a model-independent way. Generalized $e-\mu$, $e-\tau$ and $\mu-\tau$ symmetries are considered in detail. In all cases the physical parameters of the lepton mixing matrix, three mixing angles and three CP phases can be expressed in terms of a restricted set of independent "theory" parameters that characterize a given choice of CP transformation. This leads to implications for neutrino oscillations as well as neutrinoless double beta decay experiments.
hep-ph hep-ex nucl-ex nucl-th
we study the implications of generalized cp transformations acting on the mass matrices of charged leptons in a modelindependent way generalized emu etau and mutau symmetries are considered in detail in all cases the physical parameters of the lepton mixing matrix three mixing angles and three cp phases can be expressed in terms of a restricted set of independent theory parameters that characterize a given choice of cp transformation this leads to implications for neutrino oscillations as well as neutrinoless double beta decay experiments
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1,802.04276
Black-hole kicks from numerical-relativity surrogate models
Binary black holes radiate linear momentum in gravitational waves as they merge. Recoils imparted to the black-hole remnant can reach thousands of km/s, thus ejecting black holes from their host galaxies. We exploit recent advances in gravitational waveform modeling to quickly and reliably extract recoils imparted to generic, precessing, black hole binaries. Our procedure uses a numerical-relativity surrogate model to obtain the gravitational waveform given a set of binary parameters, then from this waveform we directly integrate the gravitational-wave linear momentum flux. This entirely bypasses the need of fitting formulae which are typically used to model black-hole recoils in astrophysical contexts. We provide a thorough exploration of the black-hole kick phenomenology in the parameter space, summarizing and extending previous numerical results on the topic. Our extraction procedure is made publicly available as a module for the Python programming language named SURRKICK. Kick evaluations take ~0.1s on a standard off-the-shelf machine, thus making our code ideal to be ported to large-scale astrophysical studies.
gr-qc astro-ph.GA astro-ph.HE
binary black holes radiate linear momentum in gravitational waves as they merge recoils imparted to the blackhole remnant can reach thousands of kms thus ejecting black holes from their host galaxies we exploit recent advances in gravitational waveform modeling to quickly and reliably extract recoils imparted to generic precessing black hole binaries our procedure uses a numericalrelativity surrogate model to obtain the gravitational waveform given a set of binary parameters then from this waveform we directly integrate the gravitationalwave linear momentum flux this entirely bypasses the need of fitting formulae which are typically used to model blackhole recoils in astrophysical contexts we provide a thorough exploration of the blackhole kick phenomenology in the parameter space summarizing and extending previous numerical results on the topic our extraction procedure is made publicly available as a module for the python programming language named surrkick kick evaluations take 01s on a standard offtheshelf machine thus making our code ideal to be ported to largescale astrophysical studies
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1,802.04277
The fraction of AGN in major merger galaxies and its luminosity dependence
We use a phenomenological model which connects the galaxy and AGN populations to investigate the process of AGN triggering through major galaxy mergers at z~0. The model uses stellar mass functions as input and allows the prediction of AGN luminosity functions based on assumed Eddington ratio distribution functions (ERDFs). We show that the number of AGN hosted by merger galaxies relative to the total number of AGN increases as a function of AGN luminosity. This is due to more massive galaxies being more likely to undergo a merger and does not require the assumption that mergers lead to higher Eddington ratios than secular processes. Our qualitative analysis also shows that to match the observations, the probability of a merger galaxy hosting an AGN and accreting at a given Eddington value has to be increased by a factor ~10 relative to the general AGN population. An additional significant increase of the fraction of high Eddington ratio AGN among merger host galaxies leads to inconsistency with the observed X-ray luminosity function. Physically our results imply that, compared to the general galaxy population, the AGN fraction among merger galaxies is ~10 times higher. On average, merger triggering does however not lead to significantly higher Eddington ratios.
astro-ph.GA
we use a phenomenological model which connects the galaxy and agn populations to investigate the process of agn triggering through major galaxy mergers at z0 the model uses stellar mass functions as input and allows the prediction of agn luminosity functions based on assumed eddington ratio distribution functions erdfs we show that the number of agn hosted by merger galaxies relative to the total number of agn increases as a function of agn luminosity this is due to more massive galaxies being more likely to undergo a merger and does not require the assumption that mergers lead to higher eddington ratios than secular processes our qualitative analysis also shows that to match the observations the probability of a merger galaxy hosting an agn and accreting at a given eddington value has to be increased by a factor 10 relative to the general agn population an additional significant increase of the fraction of high eddington ratio agn among merger host galaxies leads to inconsistency with the observed xray luminosity function physically our results imply that compared to the general galaxy population the agn fraction among merger galaxies is 10 times higher on average merger triggering does however not lead to significantly higher eddington ratios
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1,802.04278
All the entropies on the light-cone
We determine the explicit universal form of the entanglement and Renyi entropies, for regions with arbitrary boundary on a null plane or the light-cone. All the entropies are shown to saturate the strong subadditive inequality. This Renyi Markov property implies that the vacuum behaves like a product state. For the null plane, our analysis applies to general quantum field theories, while on the cone it is restricted to conformal field theories. In this case, the construction of the entropies is related to dilaton effective actions in two less dimensions. In particular, the universal logarithmic term in the entanglement entropy arises from a Wess-Zumino anomaly action. We also consider these properties in theories with holographic duals, for which we construct the minimal area surfaces for arbitrary shapes on the light-cone. We recover the Markov property and the universal form of the entropy, and argue that these properties continue to hold upon including stringy and quantum corrections. We end with some remarks on the recently proved entropic $a$-theorem in four spacetime dimensions.
hep-th
we determine the explicit universal form of the entanglement and renyi entropies for regions with arbitrary boundary on a null plane or the lightcone all the entropies are shown to saturate the strong subadditive inequality this renyi markov property implies that the vacuum behaves like a product state for the null plane our analysis applies to general quantum field theories while on the cone it is restricted to conformal field theories in this case the construction of the entropies is related to dilaton effective actions in two less dimensions in particular the universal logarithmic term in the entanglement entropy arises from a wesszumino anomaly action we also consider these properties in theories with holographic duals for which we construct the minimal area surfaces for arbitrary shapes on the lightcone we recover the markov property and the universal form of the entropy and argue that these properties continue to hold upon including stringy and quantum corrections we end with some remarks on the recently proved entropic atheorem in four spacetime dimensions
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1,802.04279
Dynamical and biological panspermia constraints within multi-planet exosystems
As discoveries of multiple planets in the habitable zone of their parent star mount, developing analytical techniques to quantify extrasolar intra-system panspermia will become increasingly important. Here, we provide user-friendly prescriptions that describe the asteroid impact characteristics which would be necessary to transport life both inwards and outwards within these systems within a single framework. Our focus is on projectile generation and delivery and our expressions are algebraic, eliminating the need for the solution of differential equations. We derive a probability distribution function for life-bearing debris to reach a planetary orbit, and describe the survival of micro-organisms during planetary ejection, their journey through interplanetary space, and atmospheric entry.
astro-ph.EP astro-ph.SR
as discoveries of multiple planets in the habitable zone of their parent star mount developing analytical techniques to quantify extrasolar intrasystem panspermia will become increasingly important here we provide userfriendly prescriptions that describe the asteroid impact characteristics which would be necessary to transport life both inwards and outwards within these systems within a single framework our focus is on projectile generation and delivery and our expressions are algebraic eliminating the need for the solution of differential equations we derive a probability distribution function for lifebearing debris to reach a planetary orbit and describe the survival of microorganisms during planetary ejection their journey through interplanetary space and atmospheric entry
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1,802.0428
Unlocking the Full Potential of Extragalactic Ly$\alpha$ through Its Polarization Properties
Lyman-$\alpha$ (Ly$\alpha$) is a powerful astrophysical probe. Not only is it ubiquitous at high redshifts, it is also a resonant line, making Ly$\alpha$ photons scatter. This scattering process depends on the physical conditions of the gas through which Ly$\alpha$ propagates, and these conditions are imprinted on observables such as the Ly$\alpha$ spectrum and its surface brightness profile. In this work, we focus on a less-used observable capable of probing any scattering process: polarization. We implement the density matrix formalism of polarization into the Monte Carlo radiative transfer code tlac. This allows us to treat it as a quantum mechanical process where single photons develop and lose polarization from scatterings in arbitrary gas geometries. We explore static and expanding ellipsoids, biconical outflows, and clumpy multiphase media. We find that photons become increasingly polarized as they scatter and diffuse into the wings of the line profiles, making scattered Ly$\alpha$ polarized in general. The degree and orientation of Ly$\alpha$ polarization depends on the kinematics and distribution of the scattering HI gas. We find that it generally probes spatial or velocity space asymmetries and aligns itself tangentially to the emission source. We show that the mentioned observables, when studied separately, can leave similar signatures for different source models. We conclude by revealing how a joint analysis of the Ly$\alpha$ spectra, surface brightness profiles, and polarization can break these degeneracies and help us extract unique physical information on galaxies and their environments from their strongest, most prominent emission line.
astro-ph.GA
lymanalpha lyalpha is a powerful astrophysical probe not only is it ubiquitous at high redshifts it is also a resonant line making lyalpha photons scatter this scattering process depends on the physical conditions of the gas through which lyalpha propagates and these conditions are imprinted on observables such as the lyalpha spectrum and its surface brightness profile in this work we focus on a lessused observable capable of probing any scattering process polarization we implement the density matrix formalism of polarization into the monte carlo radiative transfer code tlac this allows us to treat it as a quantum mechanical process where single photons develop and lose polarization from scatterings in arbitrary gas geometries we explore static and expanding ellipsoids biconical outflows and clumpy multiphase media we find that photons become increasingly polarized as they scatter and diffuse into the wings of the line profiles making scattered lyalpha polarized in general the degree and orientation of lyalpha polarization depends on the kinematics and distribution of the scattering hi gas we find that it generally probes spatial or velocity space asymmetries and aligns itself tangentially to the emission source we show that the mentioned observables when studied separately can leave similar signatures for different source models we conclude by revealing how a joint analysis of the lyalpha spectra surface brightness profiles and polarization can break these degeneracies and help us extract unique physical information on galaxies and their environments from their strongest most prominent emission line
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1,802.04281
Renormalization group properties of the conformal sector: towards perturbatively renormalizable quantum gravity
The Wilsonian renormalization group (RG) requires Euclidean signature. The conformal factor of the metric then has a wrong-sign kinetic term, which has a profound effect on its RG properties. Generically for the conformal sector, complete flows exist only in the reverse direction (i.e. from the infrared to the ultraviolet). The Gaussian fixed point supports infinite sequences of composite eigenoperators of increasing infrared relevancy (increasingly negative mass dimension), which are orthonormal and complete for bare interactions that are square integrable under the appropriate measure. These eigenoperators are non-perturbative in $\hbar$ and evanescent. For $\mathbb{R}^4$ spacetime, each renormalised physical operator exists but only has support at vanishing field amplitude. In the generic case of infinitely many non-vanishing couplings, if a complete RG flow exists, it is characterised in the infrared by a scale $\Lambda_\mathrm{p}>0$, beyond which the field amplitude is exponentially suppressed. On other spacetimes, of length scale $L$, the flow ceases to exist once a certain universal measure of inhomogeneity exceeds $O(1)+2\pi L^2\Lambda^2_\mathrm{p}$. Importantly for cosmology, the minimum size of the universe is thus tied to the degree of inhomogeneity, with spacetimes of vanishing size being required to be almost homogeneous. We initiate a study of this exotic quantum field theory at the interacting level, and discuss what the full theory of quantum gravity should look like, one which must thus be perturbatively renormalizable in Newton's constant but non-perturbative in $\hbar$.
hep-th gr-qc
the wilsonian renormalization group rg requires euclidean signature the conformal factor of the metric then has a wrongsign kinetic term which has a profound effect on its rg properties generically for the conformal sector complete flows exist only in the reverse direction ie from the infrared to the ultraviolet the gaussian fixed point supports infinite sequences of composite eigenoperators of increasing infrared relevancy increasingly negative mass dimension which are orthonormal and complete for bare interactions that are square integrable under the appropriate measure these eigenoperators are nonperturbative in hbar and evanescent for mathbbr4 spacetime each renormalised physical operator exists but only has support at vanishing field amplitude in the generic case of infinitely many nonvanishing couplings if a complete rg flow exists it is characterised in the infrared by a scale lambda_mathrmp0 beyond which the field amplitude is exponentially suppressed on other spacetimes of length scale l the flow ceases to exist once a certain universal measure of inhomogeneity exceeds o12pi l2lambda2_mathrmp importantly for cosmology the minimum size of the universe is thus tied to the degree of inhomogeneity with spacetimes of vanishing size being required to be almost homogeneous we initiate a study of this exotic quantum field theory at the interacting level and discuss what the full theory of quantum gravity should look like one which must thus be perturbatively renormalizable in newtons constant but nonperturbative in hbar
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1,802.04282
Polycyclic aromatic hydrocarbon emission toward the Galactic bulge
We examine polycyclic aromatic hydrocarbon (PAH), dust and atomic/molecular emission toward the Galactic bulge using Spitzer Space Telescope observations of four fields: C32, C35, OGLE and NGC 6522. These fields are approximately centered on (l, b) = (0.0{\deg}, 1.0{\deg}), (0.0{\deg}, -1.0{\deg}), (0.4{\deg}, -2.1{\deg}) and (1.0{\deg}, -3.8{\deg}), respectively. Far-infrared photometric observations complement the Spitzer/IRS spectroscopic data and are used to construct spectral energy distributions. We find that the dust and PAH emission are exceptionally similar between C32 and C35 overall, in part explained due to their locations---they reside on or near boundaries of a 7 Myr-old Galactic outflow event and are partly shock-heated. Within the C32 and C35 fields, we identify a region of elevated H{\alpha} emission that is coincident with elevated fine-structure and [O IV] line emission and weak PAH feature strengths. We are likely tracing a transition zone of the outflow into the nascent environment. PAH abundances in these fields are slightly depressed relative to typical ISM values. In the OGLE and NGC 6522 fields, we observe weak features on a continuum dominated by zodiacal dust. SED fitting indicates that thermal dust grains in C32 and C35 have comparable temperatures to those of diffuse, high-latitude cirrus clouds. Little variability is detected in the PAH properties between C32 and C35, indicating that a stable population of PAHs dominates the overall spectral appearance. In fact, their PAH features are exceptionally similar to that of the M82 superwind, emphasizing that we are probing a local Galactic wind environment.
astro-ph.GA astro-ph.SR
we examine polycyclic aromatic hydrocarbon pah dust and atomicmolecular emission toward the galactic bulge using spitzer space telescope observations of four fields c32 c35 ogle and ngc 6522 these fields are approximately centered on l b 00deg 10deg 00deg 10deg 04deg 21deg and 10deg 38deg respectively farinfrared photometric observations complement the spitzerirs spectroscopic data and are used to construct spectral energy distributions we find that the dust and pah emission are exceptionally similar between c32 and c35 overall in part explained due to their locationsthey reside on or near boundaries of a 7 myrold galactic outflow event and are partly shockheated within the c32 and c35 fields we identify a region of elevated halpha emission that is coincident with elevated finestructure and o iv line emission and weak pah feature strengths we are likely tracing a transition zone of the outflow into the nascent environment pah abundances in these fields are slightly depressed relative to typical ism values in the ogle and ngc 6522 fields we observe weak features on a continuum dominated by zodiacal dust sed fitting indicates that thermal dust grains in c32 and c35 have comparable temperatures to those of diffuse highlatitude cirrus clouds little variability is detected in the pah properties between c32 and c35 indicating that a stable population of pahs dominates the overall spectral appearance in fact their pah features are exceptionally similar to that of the m82 superwind emphasizing that we are probing a local galactic wind environment
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1,802.04283
Topological Magnons in Kitaev Magnets at High Fields
We study the Kitaev-Heisenberg-$\Gamma$-$\Gamma'$ model that describes the magnetism in strong spin-orbit coupled honeycomb lattice Mott insulators. In strong $[111]$ magnetic fields that bring the system into the fully polarized paramagnetic phase, we find that the spin wave bands carry nontrivial Chern numbers over large regions of the phase diagram implying the presence of chiral magnon edge states. In contrast to other topological magnon systems, the topological nontriviality of these systems results from the presence of magnon number non-conserving terms in the Hamiltonian. Since the effects of interactions are suppressed by $J/h$, the validity of the single particle picture is tunable making paramagnetic phases particularly suitable for the exploration of this physics. Using time dependent DMRG and interacting spin wave theory, we demonstrate the presence of the chiral edge mode and its evolution with field.
cond-mat.str-el
we study the kitaevheisenberggammagamma model that describes the magnetism in strong spinorbit coupled honeycomb lattice mott insulators in strong 111 magnetic fields that bring the system into the fully polarized paramagnetic phase we find that the spin wave bands carry nontrivial chern numbers over large regions of the phase diagram implying the presence of chiral magnon edge states in contrast to other topological magnon systems the topological nontriviality of these systems results from the presence of magnon number nonconserving terms in the hamiltonian since the effects of interactions are suppressed by jh the validity of the single particle picture is tunable making paramagnetic phases particularly suitable for the exploration of this physics using time dependent dmrg and interacting spin wave theory we demonstrate the presence of the chiral edge mode and its evolution with field
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1,802.04284
A Multi-Year Search For Transits Of Proxima Centauri. I: Light Curves Corresponding To Published Ephemerides
Proxima Centauri has become the subject of intense study since the radial-velocity discovery by Anglada-Escud\'e et al. 2016 of a planet orbiting this nearby M-dwarf every ~ 11.2 days. If Proxima Centauri b transits its host star, independent confirmation of its existence is possible, and its mass and radius can be measured in units of the stellar host mass and radius. To date, there have been three independent claims of possible transit-like event detections in light curve observations obtained by the MOST satellite (in 2014-15), the BSST telescope in Antarctica (in 2016), and the Las Campanas Observatory (in 2016). The claimed possible detections are tentative, due in part to the variability intrinsic to the host star, and in the case of the ground-based observations, also due to the limited duration of the light curve observations. Here, we present preliminary results from an extensive photometric monitoring campaign of Proxima Centauri, using telescopes around the globe and spanning from 2006 to 2017, comprising a total of 329 observations. Considering our data that coincide directly and/or phased with the previously published tentative transit detections, we are unable to independently verify those claims. We do, however, verify the previously reported ubiquitous and complex variability of the host star. We discuss possible interpretations of the data in light of the previous claims, and we discuss future analyses of these data that could more definitively verify or refute the presence of transits associated with the radial-velocity discovered planet.
astro-ph.EP
proxima centauri has become the subject of intense study since the radialvelocity discovery by angladaescude et al 2016 of a planet orbiting this nearby mdwarf every 112 days if proxima centauri b transits its host star independent confirmation of its existence is possible and its mass and radius can be measured in units of the stellar host mass and radius to date there have been three independent claims of possible transitlike event detections in light curve observations obtained by the most satellite in 201415 the bsst telescope in antarctica in 2016 and the las campanas observatory in 2016 the claimed possible detections are tentative due in part to the variability intrinsic to the host star and in the case of the groundbased observations also due to the limited duration of the light curve observations here we present preliminary results from an extensive photometric monitoring campaign of proxima centauri using telescopes around the globe and spanning from 2006 to 2017 comprising a total of 329 observations considering our data that coincide directly andor phased with the previously published tentative transit detections we are unable to independently verify those claims we do however verify the previously reported ubiquitous and complex variability of the host star we discuss possible interpretations of the data in light of the previous claims and we discuss future analyses of these data that could more definitively verify or refute the presence of transits associated with the radialvelocity discovered planet
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1,802.04285
The Infrared Fixed Points of 3d $\mathcal{N}=4$ $USp(2N)$ SQCD Theories
We derive the algebraic description of the Coulomb branch of 3d $\mathcal{N}=4$ $USp(2N)$ SQCD theories with $N_f$ fundamental hypermultiplets and determine their low energy physics in any vacuum from the local geometry of the moduli space, identifying the interacting SCFTs which arise at singularities and possible extra free sectors. The SCFT with the largest moduli space arises at the most singular locus on the Coulomb branch. For $N_f>2N$ (good theories) it sits at the origin of the conical variety as expected. For $N_f =2N$ we find two separate most singular points, from which the two isomorphic components of the Higgs branch of the UV theory emanate. The SCFTs sitting at any of these two vacua have only odd dimensional Coulomb branch generators, which transform under an accidental $SU(2)$ global symmetry. We provide a direct derivation of their moduli spaces of vacua, and propose a Lagrangian mirror theory for these fixed points. For $2 \le N_f < 2N$ the most singular locus has one or two extended components, for $N_f$ odd or even, and the low energy theory involves an interacting SCFT of one of the above types, plus free twisted hypermultiplets. For $N_f=0,1$ the Coulomb branch is smooth. We complete our analysis by studying the low energy theory at the symmetric vacuum of theories with $N < N_f \le 2N$, which exhibits a local Seiberg-like duality.
hep-th
we derive the algebraic description of the coulomb branch of 3d mathcaln4 usp2n sqcd theories with n_f fundamental hypermultiplets and determine their low energy physics in any vacuum from the local geometry of the moduli space identifying the interacting scfts which arise at singularities and possible extra free sectors the scft with the largest moduli space arises at the most singular locus on the coulomb branch for n_f2n good theories it sits at the origin of the conical variety as expected for n_f 2n we find two separate most singular points from which the two isomorphic components of the higgs branch of the uv theory emanate the scfts sitting at any of these two vacua have only odd dimensional coulomb branch generators which transform under an accidental su2 global symmetry we provide a direct derivation of their moduli spaces of vacua and propose a lagrangian mirror theory for these fixed points for 2 le n_f 2n the most singular locus has one or two extended components for n_f odd or even and the low energy theory involves an interacting scft of one of the above types plus free twisted hypermultiplets for n_f01 the coulomb branch is smooth we complete our analysis by studying the low energy theory at the symmetric vacuum of theories with n n_f le 2n which exhibits a local seiberglike duality
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1,802.04286
Measuring bot and human behavioral dynamics
Bots, social media accounts controlled by software rather than by humans, have recently been under the spotlight for their association with various forms of online manipulation. To date, much work has focused on social bot detection, but little attention has been devoted to the characterization and measurement of the behavior and activity of bots, as opposed to humans'. Over the course of the years, bots have become more sophisticated, and capable to reflect some short-term behavior, emulating that of human users. The goal of this paper is to study the behavioral dynamics that bots exhibit over the course of one activity session, and highlight if and how these differ from human activity signatures. By using a large Twitter dataset associated with recent political events, we first separate bots and humans, then isolate their activity sessions. We compile a list of quantities to be measured, like the propensity of users to engage in social interactions or to produce content. Our analysis highlights the presence of short-term behavioral trends in humans, which can be associated with a cognitive origin, that are absent in bots, intuitively due to their automated activity. These findings are finally codified to create and evaluate a machine learning algorithm to detect activity sessions produced by bots and humans, to allow for more nuanced bot detection strategies.
cs.HC cs.SI
bots social media accounts controlled by software rather than by humans have recently been under the spotlight for their association with various forms of online manipulation to date much work has focused on social bot detection but little attention has been devoted to the characterization and measurement of the behavior and activity of bots as opposed to humans over the course of the years bots have become more sophisticated and capable to reflect some shortterm behavior emulating that of human users the goal of this paper is to study the behavioral dynamics that bots exhibit over the course of one activity session and highlight if and how these differ from human activity signatures by using a large twitter dataset associated with recent political events we first separate bots and humans then isolate their activity sessions we compile a list of quantities to be measured like the propensity of users to engage in social interactions or to produce content our analysis highlights the presence of shortterm behavioral trends in humans which can be associated with a cognitive origin that are absent in bots intuitively due to their automated activity these findings are finally codified to create and evaluate a machine learning algorithm to detect activity sessions produced by bots and humans to allow for more nuanced bot detection strategies
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1,802.04287
A Tower Weak Gravity Conjecture from Infrared Consistency
We analyze infrared consistency conditions of 3D and 4D effective field theories with massive scalars or fermions charged under multiple $U(1)$ gauge fields. At low energies, one can integrate out the massive particles and thus obtain a one-loop effective action for the gauge fields. In the regime where charge-independent contributions to higher-derivative terms in the action are sufficiently small, it is then possible to derive constraints on the charge-to-mass ratios of the massive particles from requiring that photons propagate causally and have an analytic S-matrix. We thus find that the theories need to contain bifundamentals and satisfy a version of the weak gravity conjecture known as the convex-hull condition. Demanding self-consistency of the constraints under Kaluza-Klein compactification, we furthermore show that, for scalars, they imply a stronger version of the weak gravity conjecture in which the charge-to-mass ratios of an infinite tower of particles are bounded from below. We find that the tower must again include bifundamentals but does not necessarily have to occupy a charge (sub-)lattice.
hep-th
we analyze infrared consistency conditions of 3d and 4d effective field theories with massive scalars or fermions charged under multiple u1 gauge fields at low energies one can integrate out the massive particles and thus obtain a oneloop effective action for the gauge fields in the regime where chargeindependent contributions to higherderivative terms in the action are sufficiently small it is then possible to derive constraints on the chargetomass ratios of the massive particles from requiring that photons propagate causally and have an analytic smatrix we thus find that the theories need to contain bifundamentals and satisfy a version of the weak gravity conjecture known as the convexhull condition demanding selfconsistency of the constraints under kaluzaklein compactification we furthermore show that for scalars they imply a stronger version of the weak gravity conjecture in which the chargetomass ratios of an infinite tower of particles are bounded from below we find that the tower must again include bifundamentals but does not necessarily have to occupy a charge sublattice
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1,802.04288
The inflated radii of M-dwarfs in the Pleiades
Rotation periods obtained with the Kepler satellite have been combined with precise measurements of projected rotation velocity from the WIYN 3.5-m telescope to determine the distribution of projected radii for several hundred low-mass ($0.1 \leq M/M_{\odot} \leq 0.8$), fast-rotating members of the Pleiades cluster. A maximum likelihood modelling technique, that takes account of observational uncertainties, selection effects and censored data, and considers the effects of differential rotation and unresolved binarity, has been used to find that the average radius of these stars is $14 \pm 2$ per cent larger at a given luminosity than predicted by the evolutionary models of Dotter et al. (2008) and Baraffe et al. (2015). The same models are a reasonable match to the interferometric radii of older, magnetically inactive field M-dwarfs, suggesting that the over-radius may be associated with the young, magnetically active nature of the Pleiades objects. No evidence is found for any change in this over-radius above and below the boundary marking the transition to full convection. Published evolutionary models that incorporate either the effects of magnetic inhibition of convection or the blocking of flux by dark starspots do not individually explain the radius inflation, but a combination of the two effects might. The distribution of projected radii is consistent with the adopted hypothesis of a random spatial orientation of spin axes; strong alignments of the spin vectors into cones with an opening semi-angle $<30^{\circ}$ can be ruled out. Any plausible but weaker alignment would increase the inferred over-radius.
astro-ph.SR
rotation periods obtained with the kepler satellite have been combined with precise measurements of projected rotation velocity from the wiyn 35m telescope to determine the distribution of projected radii for several hundred lowmass 01 leq mm_odot leq 08 fastrotating members of the pleiades cluster a maximum likelihood modelling technique that takes account of observational uncertainties selection effects and censored data and considers the effects of differential rotation and unresolved binarity has been used to find that the average radius of these stars is 14 pm 2 per cent larger at a given luminosity than predicted by the evolutionary models of dotter et al 2008 and baraffe et al 2015 the same models are a reasonable match to the interferometric radii of older magnetically inactive field mdwarfs suggesting that the overradius may be associated with the young magnetically active nature of the pleiades objects no evidence is found for any change in this overradius above and below the boundary marking the transition to full convection published evolutionary models that incorporate either the effects of magnetic inhibition of convection or the blocking of flux by dark starspots do not individually explain the radius inflation but a combination of the two effects might the distribution of projected radii is consistent with the adopted hypothesis of a random spatial orientation of spin axes strong alignments of the spin vectors into cones with an opening semiangle 30circ can be ruled out any plausible but weaker alignment would increase the inferred overradius
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1,802.04289
Deep Neural Networks for Bot Detection
The problem of detecting bots, automated social media accounts governed by software but disguising as human users, has strong implications. For example, bots have been used to sway political elections by distorting online discourse, to manipulate the stock market, or to push anti-vaccine conspiracy theories that caused health epidemics. Most techniques proposed to date detect bots at the account level, by processing large amount of social media posts, and leveraging information from network structure, temporal dynamics, sentiment analysis, etc. In this paper, we propose a deep neural network based on contextual long short-term memory (LSTM) architecture that exploits both content and metadata to detect bots at the tweet level: contextual features are extracted from user metadata and fed as auxiliary input to LSTM deep nets processing the tweet text. Another contribution that we make is proposing a technique based on synthetic minority oversampling to generate a large labeled dataset, suitable for deep nets training, from a minimal amount of labeled data (roughly 3,000 examples of sophisticated Twitter bots). We demonstrate that, from just one single tweet, our architecture can achieve high classification accuracy (AUC > 96%) in separating bots from humans. We apply the same architecture to account-level bot detection, achieving nearly perfect classification accuracy (AUC > 99%). Our system outperforms previous state of the art while leveraging a small and interpretable set of features yet requiring minimal training data.
cs.AI cs.SI
the problem of detecting bots automated social media accounts governed by software but disguising as human users has strong implications for example bots have been used to sway political elections by distorting online discourse to manipulate the stock market or to push antivaccine conspiracy theories that caused health epidemics most techniques proposed to date detect bots at the account level by processing large amount of social media posts and leveraging information from network structure temporal dynamics sentiment analysis etc in this paper we propose a deep neural network based on contextual long shortterm memory lstm architecture that exploits both content and metadata to detect bots at the tweet level contextual features are extracted from user metadata and fed as auxiliary input to lstm deep nets processing the tweet text another contribution that we make is proposing a technique based on synthetic minority oversampling to generate a large labeled dataset suitable for deep nets training from a minimal amount of labeled data roughly 3000 examples of sophisticated twitter bots we demonstrate that from just one single tweet our architecture can achieve high classification accuracy auc 96 in separating bots from humans we apply the same architecture to accountlevel bot detection achieving nearly perfect classification accuracy auc 99 our system outperforms previous state of the art while leveraging a small and interpretable set of features yet requiring minimal training data
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1,802.0429
Reconciling tensor and scalar observables in G-inflation
The simple $m^2\phi^2$ potential as an inflationary model is coming under increasing tension with limits on the tensor-to-scalar ratio $r$ and measurements of the scalar spectral index $n_s$. Cubic Galileon interactions in the context of the Horndeski action can potentially reconcile the observables. However, we show that this cannot be achieved with only a constant Galileon mass scale because the interactions turn off too slowly, leading also to gradient instabilities after inflation ends. Allowing for a more rapid transition can reconcile the observables but moderately breaks the slow-roll approximation leading to a relatively large and negative running of the tilt $\alpha_s$ that can be of order $n_s-1$. We show that the observables on CMB and large scale structure scales can be predicted accurately using the optimized slow-roll approach instead of the traditional slow-roll expansion. Upper limits on $|\alpha_s|$ place a lower bound of $r\gtrsim 0.005$ and conversely a given $r$ places a lower bound on $|\alpha_s|$, both of which are potentially observable with next generation CMB and large scale structure surveys.
astro-ph.CO gr-qc hep-th
the simple m2phi2 potential as an inflationary model is coming under increasing tension with limits on the tensortoscalar ratio r and measurements of the scalar spectral index n_s cubic galileon interactions in the context of the horndeski action can potentially reconcile the observables however we show that this cannot be achieved with only a constant galileon mass scale because the interactions turn off too slowly leading also to gradient instabilities after inflation ends allowing for a more rapid transition can reconcile the observables but moderately breaks the slowroll approximation leading to a relatively large and negative running of the tilt alpha_s that can be of order n_s1 we show that the observables on cmb and large scale structure scales can be predicted accurately using the optimized slowroll approach instead of the traditional slowroll expansion upper limits on alpha_s place a lower bound of rgtrsim 0005 and conversely a given r places a lower bound on alpha_s both of which are potentially observable with next generation cmb and large scale structure surveys
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1,802.04291
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign
Until recently, social media was seen to promote democratic discourse on social and political issues. However, this powerful communication platform has come under scrutiny for allowing hostile actors to exploit online discussions in an attempt to manipulate public opinion. A case in point is the ongoing U.S. Congress' investigation of Russian interference in the 2016 U.S. election campaign, with Russia accused of using trolls (malicious accounts created to manipulate) and bots to spread misinformation and politically biased information. In this study, we explore the effects of this manipulation campaign, taking a closer look at users who re-shared the posts produced on Twitter by the Russian troll accounts publicly disclosed by U.S. Congress investigation. We collected a dataset with over 43 million election-related posts shared on Twitter between September 16 and October 21, 2016, by about 5.7 million distinct users. This dataset included accounts associated with the identified Russian trolls. We use label propagation to infer the ideology of all users based on the news sources they shared. This method enables us to classify a large number of users as liberal or conservative with precision and recall above 90%. Conservatives retweeted Russian trolls about 31 times more often than liberals and produced 36x more tweets. Additionally, most retweets of troll content originated from two Southern states: Tennessee and Texas. Using state-of-the-art bot detection techniques, we estimated that about 4.9% and 6.2% of liberal and conservative users respectively were bots. Text analysis on the content shared by trolls reveals that they had a mostly conservative, pro-Trump agenda. Although an ideologically broad swath of Twitter users was exposed to Russian Trolls in the period leading up to the 2016 U.S. Presidential election, it was mainly conservatives who helped amplify their message.
cs.SI cs.CY
until recently social media was seen to promote democratic discourse on social and political issues however this powerful communication platform has come under scrutiny for allowing hostile actors to exploit online discussions in an attempt to manipulate public opinion a case in point is the ongoing us congress investigation of russian interference in the 2016 us election campaign with russia accused of using trolls malicious accounts created to manipulate and bots to spread misinformation and politically biased information in this study we explore the effects of this manipulation campaign taking a closer look at users who reshared the posts produced on twitter by the russian troll accounts publicly disclosed by us congress investigation we collected a dataset with over 43 million electionrelated posts shared on twitter between september 16 and october 21 2016 by about 57 million distinct users this dataset included accounts associated with the identified russian trolls we use label propagation to infer the ideology of all users based on the news sources they shared this method enables us to classify a large number of users as liberal or conservative with precision and recall above 90 conservatives retweeted russian trolls about 31 times more often than liberals and produced 36x more tweets additionally most retweets of troll content originated from two southern states tennessee and texas using stateoftheart bot detection techniques we estimated that about 49 and 62 of liberal and conservative users respectively were bots text analysis on the content shared by trolls reveals that they had a mostly conservative protrump agenda although an ideologically broad swath of twitter users was exposed to russian trolls in the period leading up to the 2016 us presidential election it was mainly conservatives who helped amplify their message
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1,802.04292
Quantum spin transistors in superconducting circuits
Transistors play a vital role in classical computers, and their quantum mechanical counterparts could potentially be as important in quantum computers. Where a classical transistor is operated as a switch that either blocks or allows an electric current, the quantum transistor should operate on quantum information. In terms of a spin model the in-going quantum information is an arbitrary qubit state (spin-1/2 state). In this paper, we derive a model of four qubits with Heisenberg interactions that works as a quantum spin transistor, i.e. a system with perfect state transfer or perfect blockade depending on the state of two gate qubits. When the system is initialized the dynamics complete the gate operation, hence our protocol requires minimal external control. We propose a concrete implementation of the model using state-of-the-art superconducting circuits. Finally, we demonstrate that our proposal operates with high-fidelity under realistic decoherence.
quant-ph cond-mat.mes-hall cond-mat.supr-con
transistors play a vital role in classical computers and their quantum mechanical counterparts could potentially be as important in quantum computers where a classical transistor is operated as a switch that either blocks or allows an electric current the quantum transistor should operate on quantum information in terms of a spin model the ingoing quantum information is an arbitrary qubit state spin12 state in this paper we derive a model of four qubits with heisenberg interactions that works as a quantum spin transistor ie a system with perfect state transfer or perfect blockade depending on the state of two gate qubits when the system is initialized the dynamics complete the gate operation hence our protocol requires minimal external control we propose a concrete implementation of the model using stateoftheart superconducting circuits finally we demonstrate that our proposal operates with highfidelity under realistic decoherence
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1,802.04293
A candidate Theory for the "Strange Metal" phase at Finite Energy Window
We propose a lattice model for strongly interacting electrons with the potential to explain the main phenomenology of the strange metal phase in the cuprate high temperature superconductors. Our model is motivated by the recently developed "tetrahedron" rank-3 tensor model that mimics much of the physics of the better-known Sachdev-Ye-Kitaev (SYK) model. Our electron model has the following advantageous properties: (1) it only needs one orbital per site on the square lattice; (2) it does not require any quenched random interaction; (3) it has local interactions and respects all the symmetries of the system; (4) the soluble limit of this model has a longitudinal DC resistivity that scales linearly with temperature within a finite temperature window; (5) again the soluble limit of this model has a fermion pairing instability in the infrared, which can lead to either superconductivity or a "pseudogap" phase. The linear$-T$ longitudinal resistivity and the pairing instability originate from the generic scaling feature of the SYK model and the tetrahedron tensor model.
cond-mat.str-el
we propose a lattice model for strongly interacting electrons with the potential to explain the main phenomenology of the strange metal phase in the cuprate high temperature superconductors our model is motivated by the recently developed tetrahedron rank3 tensor model that mimics much of the physics of the betterknown sachdevyekitaev syk model our electron model has the following advantageous properties 1 it only needs one orbital per site on the square lattice 2 it does not require any quenched random interaction 3 it has local interactions and respects all the symmetries of the system 4 the soluble limit of this model has a longitudinal dc resistivity that scales linearly with temperature within a finite temperature window 5 again the soluble limit of this model has a fermion pairing instability in the infrared which can lead to either superconductivity or a pseudogap phase the lineart longitudinal resistivity and the pairing instability originate from the generic scaling feature of the syk model and the tetrahedron tensor model
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1,802.04294
Discriminating WIMP-nucleus response functions in present and future XENON-like direct detection experiments
The standard interpretation of direct-detection limits on dark matter involves particular assumptions of the underlying WIMP-nucleus interaction, such as, in the simplest case, the choice of a Helm form factor that phenomenologically describes an isoscalar spin-independent interaction. In general, the interaction of dark matter with the target nuclei may well proceed via different mechanisms, which would lead to a different shape of the corresponding nuclear structure factors as a function of the momentum transfer $q$. We study to what extent different WIMP-nucleus responses can be differentiated based on the $q$-dependence of their structure factors (or "form factors"). We assume an overall strength of the interaction consistent with present spin-independent limits and consider an exposure corresponding to XENON1T-like, XENONnT-like, and DARWIN-like direct detection experiments. We find that, as long as the interaction strength does not lie too much below current limits, the DARWIN settings allow a conclusive discrimination of many different response functions based on their $q$-dependence, with immediate consequences for elucidating the nature of dark matter.
hep-ph astro-ph.CO hep-ex nucl-th
the standard interpretation of directdetection limits on dark matter involves particular assumptions of the underlying wimpnucleus interaction such as in the simplest case the choice of a helm form factor that phenomenologically describes an isoscalar spinindependent interaction in general the interaction of dark matter with the target nuclei may well proceed via different mechanisms which would lead to a different shape of the corresponding nuclear structure factors as a function of the momentum transfer q we study to what extent different wimpnucleus responses can be differentiated based on the qdependence of their structure factors or form factors we assume an overall strength of the interaction consistent with present spinindependent limits and consider an exposure corresponding to xenon1tlike xenonntlike and darwinlike direct detection experiments we find that as long as the interaction strength does not lie too much below current limits the darwin settings allow a conclusive discrimination of many different response functions based on their qdependence with immediate consequences for elucidating the nature of dark matter
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1,802.04295
Freezing out of a low-energy bulk spin exciton in SmB6
The Kondo insulator SmB6 is purported to develop into a robust topological insulator at low temperature. Yet there are several puzzling and unexplained physical properties of the insulating bulk. It has been proposed that bulk spin excitons may be the source of these anomalies and may also adversely affect the topologically-protected metallic surface states. Here, we report muon spin rotation measurements of SmB6 that show thermally-activated behavior for the temperature dependences of the transverse-field (TF) relaxation rate below 20 K and muon Knight shift below 5-6 K. Our data are consistent with the freezing out of a bulk low-energy (~ 1 meV) spin exciton concurrent with the appearance of metallic surface conductivity. Furthermore, our results support the idea that spin excitons play some role in the anomalous low-temperature bulk properties of SmB6.
cond-mat.str-el
the kondo insulator smb6 is purported to develop into a robust topological insulator at low temperature yet there are several puzzling and unexplained physical properties of the insulating bulk it has been proposed that bulk spin excitons may be the source of these anomalies and may also adversely affect the topologicallyprotected metallic surface states here we report muon spin rotation measurements of smb6 that show thermallyactivated behavior for the temperature dependences of the transversefield tf relaxation rate below 20 k and muon knight shift below 56 k our data are consistent with the freezing out of a bulk lowenergy 1 mev spin exciton concurrent with the appearance of metallic surface conductivity furthermore our results support the idea that spin excitons play some role in the anomalous lowtemperature bulk properties of smb6
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1,802.04296
On the Role of Dissolved Gases in the Atmosphere Retention of Low-Mass Low-Density Planets
Low-mass low-density planets discovered by Kepler in the super-Earth mass regime typically have large radii for their inferred masses, implying the presence of H$_2$-He atmospheres. These planets are vulnerable to atmospheric mass loss due to heating by the parent star's XUV flux. Models coupling atmospheric mass loss with thermal evolution predicted a bimodal distribution of planetary radii, which has gained observational support. However, a key component that has been ignored in previous studies is the dissolution of these gases into the molten core of rock and iron that constitute most of their mass. Such planets have high temperatures ($>$2000 K) and pressures ($\sim$kbars) at the core-envelope boundary, ensuring a molten surface and a subsurface reservoir of hydrogen that can be 5-10 times larger than the atmosphere. This study bridges this gap by coupling the thermal evolution of the planet and the mass loss of the atmosphere with the thermodynamic equilibrium between the dissolved H$_2$ and the atmospheric H$_2$ (Henry's law). Dissolution in the interior allows a planet to build a larger hydrogen repository during the planet formation stage. We show that the dissolved hydrogen outgasses to buffer atmospheric mass loss. The slow cooling of the planet also leads to outgassing because solubility decreases with decreasing temperature. Dissolution of hydrogen in the interior therefore increases the atmosphere retention ability of super-Earths. The study highlights the importance of including the temperature- and pressure-dependent solubility of gases in magma oceans and coupling outgassing to planetary evolution models.
astro-ph.EP
lowmass lowdensity planets discovered by kepler in the superearth mass regime typically have large radii for their inferred masses implying the presence of h_2he atmospheres these planets are vulnerable to atmospheric mass loss due to heating by the parent stars xuv flux models coupling atmospheric mass loss with thermal evolution predicted a bimodal distribution of planetary radii which has gained observational support however a key component that has been ignored in previous studies is the dissolution of these gases into the molten core of rock and iron that constitute most of their mass such planets have high temperatures 2000 k and pressures simkbars at the coreenvelope boundary ensuring a molten surface and a subsurface reservoir of hydrogen that can be 510 times larger than the atmosphere this study bridges this gap by coupling the thermal evolution of the planet and the mass loss of the atmosphere with the thermodynamic equilibrium between the dissolved h_2 and the atmospheric h_2 henrys law dissolution in the interior allows a planet to build a larger hydrogen repository during the planet formation stage we show that the dissolved hydrogen outgasses to buffer atmospheric mass loss the slow cooling of the planet also leads to outgassing because solubility decreases with decreasing temperature dissolution of hydrogen in the interior therefore increases the atmosphere retention ability of superearths the study highlights the importance of including the temperature and pressuredependent solubility of gases in magma oceans and coupling outgassing to planetary evolution models
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1,802.04297
Sublinear Elliptic Operators
We investigate second order elliptic equations \[F(\mathcal{H}u) = 0\] where the function $F\colon S(n)\to\mathbb{R}$ on the space of symmetric $n\times n$ matrices is assumed to be sublinear. There is very little to be found in the literature devoted particularly to sublinear elliptic operators. When examples of such operators occur, they are often merely treated as members of the larger class of convex operators. That class has been thoroughly investigated and many of its aspects are well understood. There is, however, something to be said about sublinear operators that do not, in general, apply to convex operators.
math.AP
we investigate second order elliptic equations fmathcalhu 0 where the function fcolon sntomathbbr on the space of symmetric ntimes n matrices is assumed to be sublinear there is very little to be found in the literature devoted particularly to sublinear elliptic operators when examples of such operators occur they are often merely treated as members of the larger class of convex operators that class has been thoroughly investigated and many of its aspects are well understood there is however something to be said about sublinear operators that do not in general apply to convex operators
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1,802.04298
Powering of H$\alpha$ filaments by cosmic rays
Cluster cool cores possess networks of line-emitting filaments. These filaments are thought to originate via uplift of cold gas from cluster centers by buoyant active galactic nuclei (AGN) bubbles, or via local thermal instability in the hot intracluster medium (ICM). Therefore, the filaments are either the signatures of AGN feedback or feeding of supermassive black holes. Despite being characterized by very short cooling times, the filaments are significant H$\alpha$ emitters, which suggests that some process continuously powers these structures. Many cool cores host diffuse radio mini halos and AGN injecting radio plasma, suggesting that cosmic rays (CRs) and magnetic fields are present in the ICM. We argue that the excitation of Alfv\'en waves by CR streaming, and the replenishment of CR energy via accretion onto the filaments of high plasma-$\beta$ ICM characterized by low CR pressure support, can provide the adequate amount of heating to power and sustain the emission from these filaments. This mechanism does not require the CRs to penetrate the filaments even if the filaments are magnetically isolated from the ambient ICM and it may operate irrespectively of whether the filaments are dredged up from the center or form in situ in the ICM. This picture is qualitatively consistent with non-thermal line ratios seen in the cold filaments. Future X-ray observations of the iron line complex with XARM, Lynx, or Athena could help to test this model by providing constraints on the amount of CRs in the hot plasma that is cooling and accreting onto the filaments.
astro-ph.HE
cluster cool cores possess networks of lineemitting filaments these filaments are thought to originate via uplift of cold gas from cluster centers by buoyant active galactic nuclei agn bubbles or via local thermal instability in the hot intracluster medium icm therefore the filaments are either the signatures of agn feedback or feeding of supermassive black holes despite being characterized by very short cooling times the filaments are significant halpha emitters which suggests that some process continuously powers these structures many cool cores host diffuse radio mini halos and agn injecting radio plasma suggesting that cosmic rays crs and magnetic fields are present in the icm we argue that the excitation of alfven waves by cr streaming and the replenishment of cr energy via accretion onto the filaments of high plasmabeta icm characterized by low cr pressure support can provide the adequate amount of heating to power and sustain the emission from these filaments this mechanism does not require the crs to penetrate the filaments even if the filaments are magnetically isolated from the ambient icm and it may operate irrespectively of whether the filaments are dredged up from the center or form in situ in the icm this picture is qualitatively consistent with nonthermal line ratios seen in the cold filaments future xray observations of the iron line complex with xarm lynx or athena could help to test this model by providing constraints on the amount of crs in the hot plasma that is cooling and accreting onto the filaments
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1,802.04299
Realization of efficient quantum gates with a superconducting qubit-qutrit circuit
Building a quantum computer is a daunting challenge since it requires good control but also good isolation from the environment to minimize decoherence. It is therefore important to realize quantum gates efficiently, using as few operations as possible, to reduce the amount of required control and operation time and thus improve the quantum state coherence. Here we propose a superconducting circuit for implementing a tunable system consisting of a qutrit coupled to two qubits. This system can efficiently accomplish various quantum information tasks, including generation of entanglement of the two qubits and conditional three-qubit quantum gates, such as the Toffoli and Fredkin gates. Furthermore, the system realizes a conditional geometric gate which may be used for holonomic (non-adiabatic) quantum computing. The efficiency, robustness and universality of the presented circuit makes it a promising candidate to serve as a building block for larger networks capable of performing involved quantum computational tasks.
quant-ph cond-mat.mes-hall cond-mat.supr-con
building a quantum computer is a daunting challenge since it requires good control but also good isolation from the environment to minimize decoherence it is therefore important to realize quantum gates efficiently using as few operations as possible to reduce the amount of required control and operation time and thus improve the quantum state coherence here we propose a superconducting circuit for implementing a tunable system consisting of a qutrit coupled to two qubits this system can efficiently accomplish various quantum information tasks including generation of entanglement of the two qubits and conditional threequbit quantum gates such as the toffoli and fredkin gates furthermore the system realizes a conditional geometric gate which may be used for holonomic nonadiabatic quantum computing the efficiency robustness and universality of the presented circuit makes it a promising candidate to serve as a building block for larger networks capable of performing involved quantum computational tasks
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1,802.043
Selective Phonon Damping in Topological Semimetals
Topological semimetals are characterized by their intriguing Fermi surfaces (FSs) such as Weyl and Dirac points, or nodal FS, and their associated surface states. Among them, topological crystalline semimetals, in the presence of strong spin-orbit coupling, possess a nodal FS protected by non-symmorphic lattice symmetries. In particular, it was theoretically proposed that $\mathrm{SrIrO}_{3}$ exhibits a bulk nodal ring due to glide symmetries, as well as flat two-dimensional surface states related to chiral and mirror symmetries. However, due to the semimetallic nature of the bulk, direct observation of these surface states is difficult. Here we study the effect of flat-surface states on phonon modes for $\mathrm{SrIrO}_{3}$ side surfaces. We show that particular phonon modes, based on mirror symmetry, have qualitatively different damping mechanisms due to the surface states which could be used to infer their existence. Experimental techniques for such measurements are also discussed.
cond-mat.str-el
topological semimetals are characterized by their intriguing fermi surfaces fss such as weyl and dirac points or nodal fs and their associated surface states among them topological crystalline semimetals in the presence of strong spinorbit coupling possess a nodal fs protected by nonsymmorphic lattice symmetries in particular it was theoretically proposed that mathrmsriro_3 exhibits a bulk nodal ring due to glide symmetries as well as flat twodimensional surface states related to chiral and mirror symmetries however due to the semimetallic nature of the bulk direct observation of these surface states is difficult here we study the effect of flatsurface states on phonon modes for mathrmsriro_3 side surfaces we show that particular phonon modes based on mirror symmetry have qualitatively different damping mechanisms due to the surface states which could be used to infer their existence experimental techniques for such measurements are also discussed
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1,802.04301
Distinguishing rotating Kiselev black hole from naked singularity using spin precession of test gyroscope
We study the critical values of the quintessential and spin parameters, to distinguish a rotating Kiselev black hole (RKBH) from a naked singularity. For any value of the dimensionless quintessential parameter $\omega_{q} \in (-1, -1/3)$, when increasing the value of quintessential parameter $\alpha$, the size of the event horizon increases, whereas the size of the outer horizon decreases. We then study the spin precession of a test gyroscope attached to a stationary observer in this spacetime. Using the spin precessions we differentiate black holes from naked singularities. If the precession frequency becomes large, as approaching to the central object in the quintessential field along any direction, then the spacetime is a black hole. A spacetime will contain a naked singularity if the precession frequency remains finite everywhere except at the singularity itself. Finally, we study the Lense-Thirring precession frequency for rotating Kiseleb black hole and the geodetic precession for Kiselev black hole.
gr-qc hep-ph hep-th
we study the critical values of the quintessential and spin parameters to distinguish a rotating kiselev black hole rkbh from a naked singularity for any value of the dimensionless quintessential parameter omega_q in 1 13 when increasing the value of quintessential parameter alpha the size of the event horizon increases whereas the size of the outer horizon decreases we then study the spin precession of a test gyroscope attached to a stationary observer in this spacetime using the spin precessions we differentiate black holes from naked singularities if the precession frequency becomes large as approaching to the central object in the quintessential field along any direction then the spacetime is a black hole a spacetime will contain a naked singularity if the precession frequency remains finite everywhere except at the singularity itself finally we study the lensethirring precession frequency for rotating kiseleb black hole and the geodetic precession for kiselev black hole
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1,802.04302
Evaluating Compositionality in Sentence Embeddings
An important challenge for human-like AI is compositional semantics. Recent research has attempted to address this by using deep neural networks to learn vector space embeddings of sentences, which then serve as input to other tasks. We present a new dataset for one such task, `natural language inference' (NLI), that cannot be solved using only word-level knowledge and requires some compositionality. We find that the performance of state of the art sentence embeddings (InferSent; Conneau et al., 2017) on our new dataset is poor. We analyze the decision rules learned by InferSent and find that they are consistent with simple heuristics that are ecologically valid in its training dataset. Further, we find that augmenting training with our dataset improves test performance on our dataset without loss of performance on the original training dataset. This highlights the importance of structured datasets in better understanding and improving AI systems.
cs.CL stat.ML
an important challenge for humanlike ai is compositional semantics recent research has attempted to address this by using deep neural networks to learn vector space embeddings of sentences which then serve as input to other tasks we present a new dataset for one such task natural language inference nli that cannot be solved using only wordlevel knowledge and requires some compositionality we find that the performance of state of the art sentence embeddings infersent conneau et al 2017 on our new dataset is poor we analyze the decision rules learned by infersent and find that they are consistent with simple heuristics that are ecologically valid in its training dataset further we find that augmenting training with our dataset improves test performance on our dataset without loss of performance on the original training dataset this highlights the importance of structured datasets in better understanding and improving ai systems
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1,802.04303
Constraints on Einstein-aether theory after GW170817
In this paper, we carry out a systematic analysis of the theoretical and observational constraints on the dimensionless coupling constants $c_i$ ($i=1,2,3,4$) of the Einstein-aether theory, taking into account the events GW170817 and GRB 170817A. The combination of these events restricts the deviation of the speed $c_T$ of the spin-2 graviton to the range, $- 3\times 10^{-15} < c_T -1 < 7\times 10^{-16}$, which for the Einstein-aether theory implies $\left|c_{13}\right| \le 10^{-15}$ with $c_{ij} \equiv c_{i} + c_{j}$. The rest of the constraints are divided into two groups: those on the ($c_1, c_{14}$)-plane and those on the ($c_2, c_{14}$)-plane, except the strong-field constraints. The latter depend on the sensitivities $\sigma_{\ae}$ of neutron stars, which are not known at present in the new ranges of the parameters found in this paper.
gr-qc astro-ph.CO hep-ph hep-th
in this paper we carry out a systematic analysis of the theoretical and observational constraints on the dimensionless coupling constants c_i i1234 of the einsteinaether theory taking into account the events gw170817 and grb 170817a the combination of these events restricts the deviation of the speed c_t of the spin2 graviton to the range 3times 1015 c_t 1 7times 1016 which for the einsteinaether theory implies leftc_13right le 1015 with c_ij equiv c_i c_j the rest of the constraints are divided into two groups those on the c_1 c_14plane and those on the c_2 c_14plane except the strongfield constraints the latter depend on the sensitivities sigma_ae of neutron stars which are not known at present in the new ranges of the parameters found in this paper
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1,802.04304
Lie n-multiplicative mapping on Triangular n-Matrix Rings
In this paper we extend to triangular n-matrix rings and Lie n-multiplicative map a result about Lie multiplicative maps on triangular algebras due to Xiaofei Qi and Jinchuan Hou.
math.RA
in this paper we extend to triangular nmatrix rings and lie nmultiplicative map a result about lie multiplicative maps on triangular algebras due to xiaofei qi and jinchuan hou
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1,802.04305
Local measurements of the mean interstellar polarization at high Galactic latitudes
We conduct a small-scale pathfinding survey designed to identify the average polarization properties of the diffuse ISM locally at the lowest dust content regions. We perform deep optopolarimetric surveys within three $\sim 15' \times 15'$ regions located at $b > 48^\circ$, using the RoboPol instrument. The observed samples of stars are photometrically complete to $\sim$16 mag in the R-band. The selected regions exhibit low dust emission at 353 GHz and low total reddening compared to the majority of high-latitude sightlines. We measure the level of systematic uncertainty for all observing epochs and find it to be 0.1\% in fractional linear polarization, $p$. The majority of individual stellar measurements are non-detections. However, our survey strategy enables us to locate the mean fractional linear polarization $p_{mean}$ in each of the three regions. The region with lowest dust content yields $p_{mean}=(0.054 \pm 0.038) \%$, not significantly different from zero. We find significant detections for the remaining two regions of: $p_{mean}=(0.113 \pm 0.036) \%$ and $p_{mean}=(0.208 \pm 0.044) \%$. Using a Bayesian approach we provide upper limits on the intrinsic spread of the small-scale distributions of $q$ and $u$. At the detected $p_{mean}$ levels, the determination of the systematic uncertainty is critical for the reliability of the measurements. We verify the significance of our detections with statistical tests, accounting for all sources of uncertainty. Using publicly available HI emission data, we identify the velocity components that most likely account for the observed $p_{mean}$ and find their morphologies to be misaligned with the orientation of the mean plane-of-sky magnetic field at a spatial resolution of 10$\arcmin$. We find indications that the standard upper envelope of $p$ with reddening underestimates the maximum $p$ at very low E(B-V) ($\leq 0.01$ mag).
astro-ph.GA astro-ph.CO astro-ph.SR
we conduct a smallscale pathfinding survey designed to identify the average polarization properties of the diffuse ism locally at the lowest dust content regions we perform deep optopolarimetric surveys within three sim 15 times 15 regions located at b 48circ using the robopol instrument the observed samples of stars are photometrically complete to sim16 mag in the rband the selected regions exhibit low dust emission at 353 ghz and low total reddening compared to the majority of highlatitude sightlines we measure the level of systematic uncertainty for all observing epochs and find it to be 01 in fractional linear polarization p the majority of individual stellar measurements are nondetections however our survey strategy enables us to locate the mean fractional linear polarization p_mean in each of the three regions the region with lowest dust content yields p_mean0054 pm 0038 not significantly different from zero we find significant detections for the remaining two regions of p_mean0113 pm 0036 and p_mean0208 pm 0044 using a bayesian approach we provide upper limits on the intrinsic spread of the smallscale distributions of q and u at the detected p_mean levels the determination of the systematic uncertainty is critical for the reliability of the measurements we verify the significance of our detections with statistical tests accounting for all sources of uncertainty using publicly available hi emission data we identify the velocity components that most likely account for the observed p_mean and find their morphologies to be misaligned with the orientation of the mean planeofsky magnetic field at a spatial resolution of 10arcmin we find indications that the standard upper envelope of p with reddening underestimates the maximum p at very low ebv leq 001 mag
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1,802.04306
Pair-production of cusps on a string in AdS$_3$
The classical motion of a Nambu-Goto string in AdS$_3$ spacetime is governed by the generalized sinh-Gordon equation. It can locally be reduced to the sinh-Gordon (shG), cosh-Gordon (chG), or Liouville equation, depending on the value of the scalar curvature of the induced metric. In this paper, I examine solutions that contain both shG-type and chG-type regions. The boundary between these regions moves with the speed of light. I show that near such boundaries (generalized) solitons can be classically pair-produced. The solitons move subluminally (superluminally) in the shG (chG) region on the worldsheet, and they correspond to cusps on the string. A direct energy cascade is observed at the moment of pair-creation. For the calculations, I use an exact discretization of the equation of motion. The solutions are segmented strings. In this discrete system, pair-production leads to a complete evaporation of the shG region. The final state is a gas of cusps in a chG environment. A Mathematica notebook that has been used to generate the relevant figures is attached.
hep-th
the classical motion of a nambugoto string in ads_3 spacetime is governed by the generalized sinhgordon equation it can locally be reduced to the sinhgordon shg coshgordon chg or liouville equation depending on the value of the scalar curvature of the induced metric in this paper i examine solutions that contain both shgtype and chgtype regions the boundary between these regions moves with the speed of light i show that near such boundaries generalized solitons can be classically pairproduced the solitons move subluminally superluminally in the shg chg region on the worldsheet and they correspond to cusps on the string a direct energy cascade is observed at the moment of paircreation for the calculations i use an exact discretization of the equation of motion the solutions are segmented strings in this discrete system pairproduction leads to a complete evaporation of the shg region the final state is a gas of cusps in a chg environment a mathematica notebook that has been used to generate the relevant figures is attached
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1,802.04307
A Fast Proximal Point Method for Computing Exact Wasserstein Distance
Wasserstein distance plays increasingly important roles in machine learning, stochastic programming and image processing. Major efforts have been under way to address its high computational complexity, some leading to approximate or regularized variations such as Sinkhorn distance. However, as we will demonstrate, regularized variations with large regularization parameter will degradate the performance in several important machine learning applications, and small regularization parameter will fail due to numerical stability issues with existing algorithms. We address this challenge by developing an Inexact Proximal point method for exact Optimal Transport problem (IPOT) with the proximal operator approximately evaluated at each iteration using projections to the probability simplex. The algorithm (a) converges to exact Wasserstein distance with theoretical guarantee and robust regularization parameter selection, (b) alleviates numerical stability issue, (c) has similar computational complexity to Sinkhorn, and (d) avoids the shrinking problem when apply to generative models. Furthermore, a new algorithm is proposed based on IPOT to obtain sharper Wasserstein barycenter.
stat.ML cs.LG
wasserstein distance plays increasingly important roles in machine learning stochastic programming and image processing major efforts have been under way to address its high computational complexity some leading to approximate or regularized variations such as sinkhorn distance however as we will demonstrate regularized variations with large regularization parameter will degradate the performance in several important machine learning applications and small regularization parameter will fail due to numerical stability issues with existing algorithms we address this challenge by developing an inexact proximal point method for exact optimal transport problem ipot with the proximal operator approximately evaluated at each iteration using projections to the probability simplex the algorithm a converges to exact wasserstein distance with theoretical guarantee and robust regularization parameter selection b alleviates numerical stability issue c has similar computational complexity to sinkhorn and d avoids the shrinking problem when apply to generative models furthermore a new algorithm is proposed based on ipot to obtain sharper wasserstein barycenter
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1,802.04308
Dimension-free PAC-Bayesian bounds for the estimation of the mean of a random vector
In this paper, we present a new estimator of the mean of a random vector, computed by applying some threshold function to the norm. Non asymptotic dimension-free almost sub-Gaussian bounds are proved under weak moment assumptions, using PAC-Bayesian inequalities.
math.ST stat.TH
in this paper we present a new estimator of the mean of a random vector computed by applying some threshold function to the norm non asymptotic dimensionfree almost subgaussian bounds are proved under weak moment assumptions using pacbayesian inequalities
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1,802.04309
Distributed Coordinated Transmission with Forward-Backward Training for 5G Radio Access
Coordinated multipoint (CoMP) transmission and reception have been considered in cellular networks for enabling larger coverage, improved rates, and interference mitigation. To harness the gains of coordinated beamforming, fast information exchange over a backhaul connecting the cooperating base stations (BSs) is required. In practice, the bandwidth and delay limitations of the backhaul may not be able to meet such stringent demands. These impairments motivate the study of cooperative approaches based only on local channel state information (CSI) and which require minimal or no information exchange between the BSs. To this end, several distributed approaches are introduced for coordinated beamforming (CB)-CoMP. The proposed methods rely on the channel reciprocity and iterative spatially precoded over-the-air pilot signaling. We elaborate how forward-backward (F-B) training facilitates distributed CB by allowing BSs and user equipments (UEs) to iteratively optimize their respective transmitters/receivers based on only locally measured CSI. The trade-off due to the overhead from the F-B iterations is discussed. We also consider the challenge of dynamic TDD where the UE-UE channel knowledge cannot be acquired at the BSs by exploiting channel reciprocity. Finally, standardization activities and practical requirements for enabling the proposed F-B training schemes in 5G radio access are discussed.
cs.IT math.IT
coordinated multipoint comp transmission and reception have been considered in cellular networks for enabling larger coverage improved rates and interference mitigation to harness the gains of coordinated beamforming fast information exchange over a backhaul connecting the cooperating base stations bss is required in practice the bandwidth and delay limitations of the backhaul may not be able to meet such stringent demands these impairments motivate the study of cooperative approaches based only on local channel state information csi and which require minimal or no information exchange between the bss to this end several distributed approaches are introduced for coordinated beamforming cbcomp the proposed methods rely on the channel reciprocity and iterative spatially precoded overtheair pilot signaling we elaborate how forwardbackward fb training facilitates distributed cb by allowing bss and user equipments ues to iteratively optimize their respective transmittersreceivers based on only locally measured csi the tradeoff due to the overhead from the fb iterations is discussed we also consider the challenge of dynamic tdd where the ueue channel knowledge cannot be acquired at the bss by exploiting channel reciprocity finally standardization activities and practical requirements for enabling the proposed fb training schemes in 5g radio access are discussed
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1,802.0431
Stochastic quasi-Newton with adaptive step lengths for large-scale problems
We provide a numerically robust and fast method capable of exploiting the local geometry when solving large-scale stochastic optimisation problems. Our key innovation is an auxiliary variable construction coupled with an inverse Hessian approximation computed using a receding history of iterates and gradients. It is the Markov chain nature of the classic stochastic gradient algorithm that enables this development. The construction offers a mechanism for stochastic line search adapting the step length. We numerically evaluate and compare against current state-of-the-art with encouraging performance on real-world benchmark problems where the number of observations and unknowns is in the order of millions.
stat.ML cs.LG
we provide a numerically robust and fast method capable of exploiting the local geometry when solving largescale stochastic optimisation problems our key innovation is an auxiliary variable construction coupled with an inverse hessian approximation computed using a receding history of iterates and gradients it is the markov chain nature of the classic stochastic gradient algorithm that enables this development the construction offers a mechanism for stochastic line search adapting the step length we numerically evaluate and compare against current stateoftheart with encouraging performance on realworld benchmark problems where the number of observations and unknowns is in the order of millions
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1,802.04311
Control of Magnetic and Topological Orders with a DC Electric Field
We theoretically propose a new route to control magnetic and topological orders in a broad class of insulating magnets with a DC electric field. We show from the strong-coupling expansion that magnetic exchange interactions along the electric-field direction are generally enhanced in Mott insulators. We demonstrate that several magnetic or topological ordered phases such as quantum spin liquids and Haldane-gap states can be derived if we apply a strong enough DC electric field to typical frustrated or low-dimensional magnets. Our proposal is effective especially for weak Mott insulators and magnets in the vicinity of quantum critical points, and would also be applicable for magnets under low-frequency AC electric fields such as terahertz laser pulses. A similar strategy of controlling exchange interactions can also be utilized in cold atomic systems.
cond-mat.str-el cond-mat.mes-hall cond-mat.quant-gas
we theoretically propose a new route to control magnetic and topological orders in a broad class of insulating magnets with a dc electric field we show from the strongcoupling expansion that magnetic exchange interactions along the electricfield direction are generally enhanced in mott insulators we demonstrate that several magnetic or topological ordered phases such as quantum spin liquids and haldanegap states can be derived if we apply a strong enough dc electric field to typical frustrated or lowdimensional magnets our proposal is effective especially for weak mott insulators and magnets in the vicinity of quantum critical points and would also be applicable for magnets under lowfrequency ac electric fields such as terahertz laser pulses a similar strategy of controlling exchange interactions can also be utilized in cold atomic systems
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1,802.04312
A restriction estimate in $\mathbb{R}^3$ using brooms
If $f$ is a function supported on the truncated paraboloid in $\mathbb{R}^3$ and $E$ is the corresponding extension operator, then we prove that for all $p> 3+ 3/13$, $\|Ef\|_{L^p(\mathbb{R}^3)}\leq C \|f\|_{L^{\infty}}$. The proof combines Wolff's two ends argument with polynomial partitioning techniques. We also observe some geometric structures in wave packets.
math.CA
if f is a function supported on the truncated paraboloid in mathbbr3 and e is the corresponding extension operator then we prove that for all p 3 313 ef_lpmathbbr3leq c f_linfty the proof combines wolffs two ends argument with polynomial partitioning techniques we also observe some geometric structures in wave packets
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1,802.04313
Debris Disks: Structure, Composition, and Variability
Debris disks are tenuous, dust-dominated disks commonly observed around stars over a wide range of ages. Those around main sequence stars are analogous to the Solar System's Kuiper Belt and Zodiacal light. The dust in debris disks is believed to be continuously regenerated, originating primarily with collisions of planetesimals. Observations of debris disks provide insight into the evolution of planetary systems; the composition of dust, comets, and planetesimals outside the Solar System; as well as placing constraints on the orbital architecture and potentially the masses of exoplanets that are not otherwise detectable. This review highlights recent advances in multiwavelength, high-resolution scattered light and thermal imaging that have revealed a complex and intricate diversity of structures in debris disks, and discusses how modeling methods are evolving with the breadth and depth of the available observations. Two rapidly advancing subfields highlighted in this review include observations of atomic and molecular gas around main sequence stars, and variations in emission from debris disks on very short (days to years) timescales, providing evidence of non-steady state collisional evolution particularly in young debris disks.
astro-ph.EP
debris disks are tenuous dustdominated disks commonly observed around stars over a wide range of ages those around main sequence stars are analogous to the solar systems kuiper belt and zodiacal light the dust in debris disks is believed to be continuously regenerated originating primarily with collisions of planetesimals observations of debris disks provide insight into the evolution of planetary systems the composition of dust comets and planetesimals outside the solar system as well as placing constraints on the orbital architecture and potentially the masses of exoplanets that are not otherwise detectable this review highlights recent advances in multiwavelength highresolution scattered light and thermal imaging that have revealed a complex and intricate diversity of structures in debris disks and discusses how modeling methods are evolving with the breadth and depth of the available observations two rapidly advancing subfields highlighted in this review include observations of atomic and molecular gas around main sequence stars and variations in emission from debris disks on very short days to years timescales providing evidence of nonsteady state collisional evolution particularly in young debris disks
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1,802.04314
Optimized phase sensing in a truncated SU(1,1) interferometer
Homodyne detection is often used for interferometers based on nonlinear optical gain media. For the configuration of a seeded, 'truncated SU(1,1)' interferometer Anderson et al. (Phys. Rev. A 95, 063843 (2017)) showed how to optimize the homodyne detection scheme and demonstrated theoretically that it can saturate the quantum Cramer-Rao bound for phase estimation. In this work we extend those results by taking into account loss in the truncated SU(1,1) interferometer and determining the optimized homodyne detection scheme for phase measurement. Further, we build a truncated SU(1,1) interferometer and experimentally demonstrate that this optimized scheme achieves a reduction in noise level, corresponding to an enhanced potential phase sensitivity, compared to a typical homodyne detection scheme for a two-mode squeezed state. In doing so, we also demonstrate an improvement in the degree to which we can beat the standard quantum limit with this device.
quant-ph
homodyne detection is often used for interferometers based on nonlinear optical gain media for the configuration of a seeded truncated su11 interferometer anderson et al phys rev a 95 063843 2017 showed how to optimize the homodyne detection scheme and demonstrated theoretically that it can saturate the quantum cramerrao bound for phase estimation in this work we extend those results by taking into account loss in the truncated su11 interferometer and determining the optimized homodyne detection scheme for phase measurement further we build a truncated su11 interferometer and experimentally demonstrate that this optimized scheme achieves a reduction in noise level corresponding to an enhanced potential phase sensitivity compared to a typical homodyne detection scheme for a twomode squeezed state in doing so we also demonstrate an improvement in the degree to which we can beat the standard quantum limit with this device
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1,802.04315
Higher Groups in Homotopy Type Theory
We present a development of the theory of higher groups, including infinity groups and connective spectra, in homotopy type theory. An infinity group is simply the loops in a pointed, connected type, where the group structure comes from the structure inherent in the identity types of Martin-L\"of type theory. We investigate ordinary groups from this viewpoint, as well as higher dimensional groups and groups that can be delooped more than once. A major result is the stabilization theorem, which states that if an $n$-type can be delooped $n+2$ times, then it is an infinite loop type. Most of the results have been formalized in the Lean proof assistant.
cs.LO math.AT math.LO
we present a development of the theory of higher groups including infinity groups and connective spectra in homotopy type theory an infinity group is simply the loops in a pointed connected type where the group structure comes from the structure inherent in the identity types of martinlof type theory we investigate ordinary groups from this viewpoint as well as higher dimensional groups and groups that can be delooped more than once a major result is the stabilization theorem which states that if an ntype can be delooped n2 times then it is an infinite loop type most of the results have been formalized in the lean proof assistant
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1,802.04316
Characterization of Lie multiplicative derivation on alternative rings
In this paper we generalize the result valid for associative rings due \cite[Martindale III]{Mart} and \cite[Bre$\check{s}$ar]{bresar} to alternative rings. Let $\mathfrak{R}$ be an unital alternative ring, and $\mathfrak{D}: \mathfrak{R} \rightarrow \mathfrak{R}$ is a Lie multiplicative derivation. Then $\mathfrak{D}$ is the form $\delta + \tau$ where $\delta$ is an additive derivation of $\mathfrak{R}$ and $\tau$ is a map from $\mathfrak{R}$ into its center $\mathcal{Z}(\mathfrak{R})$, which maps commutators into the zero.
math.OA
in this paper we generalize the result valid for associative rings due citemartindale iiimart and citebrechecksarbresar to alternative rings let mathfrakr be an unital alternative ring and mathfrakd mathfrakr rightarrow mathfrakr is a lie multiplicative derivation then mathfrakd is the form delta tau where delta is an additive derivation of mathfrakr and tau is a map from mathfrakr into its center mathcalzmathfrakr which maps commutators into the zero
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1,802.04317
Future Deep Inelastic Scattering with the LHeC
For nearly a decade, Guido Altarelli accompanied the Large Hadron electron Collider project, as invited speaker, referee and member of the International Advisory Committee. This text summarises the status and prospects of the development of the LHeC, with admiration for a one-time scientist and singular leader whom I met first nearly 40 years ago under the sun shining for the "Herceg Novi School" in Kupari, where we both lectured about the beautiful science of Deep Inelastic Scattering and enjoyed life under a yellow moon.
hep-ph hep-ex
for nearly a decade guido altarelli accompanied the large hadron electron collider project as invited speaker referee and member of the international advisory committee this text summarises the status and prospects of the development of the lhec with admiration for a onetime scientist and singular leader whom i met first nearly 40 years ago under the sun shining for the herceg novi school in kupari where we both lectured about the beautiful science of deep inelastic scattering and enjoyed life under a yellow moon
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1,802.04318
Loewner's Differential Equation and Spidernets
We regard a certain type of Loewner's differential equation from a quantum probability point of view and approximate the underlying quantum process by the adjacency matrices of growing graphs which arise from the comb product of certain spidernets.
math.CV math.CO math.QA
we regard a certain type of loewners differential equation from a quantum probability point of view and approximate the underlying quantum process by the adjacency matrices of growing graphs which arise from the comb product of certain spidernets
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1,802.04319
Higgs Pair Production at Future Hadron Colliders: From Kinematics to Dynamics
The measurement of the triple Higgs coupling is a key benchmark for the LHC and future colliders. It directly probes the Higgs potential and its fundamental properties in connection to new physics beyond the Standard Model. There exist two phase space regions with an enhanced sensitivity to the Higgs self-coupling, the Higgs pair production threshold and an intermediate top pair threshold. We show how the invariant mass distribution of the Higgs pair offers a systematic way to extract the Higgs self-coupling, focusing on the leading channel $pp\to hh+X\to b\bar b\ \gamma\gamma+X$. We utilize new features of the signal events at higher energies and estimate the potential of a high-energy upgrade of the LHC and a future hadron collider with realistic simulations. We find that the high-energy upgrade of the LHC to 27 TeV would reach a 5$\sigma$ observation with an integrated luminosity of 2.5 ab$^{-1}$. It would have the potential to reach 15% (30%) accuracy at the 68% (95%) confidence level to determine the SM Higgs boson self-coupling. A future 100 TeV collider could improve the self-coupling measurement to better than 5% (10%) at the 68% (95%) confidence level.
hep-ph hep-ex
the measurement of the triple higgs coupling is a key benchmark for the lhc and future colliders it directly probes the higgs potential and its fundamental properties in connection to new physics beyond the standard model there exist two phase space regions with an enhanced sensitivity to the higgs selfcoupling the higgs pair production threshold and an intermediate top pair threshold we show how the invariant mass distribution of the higgs pair offers a systematic way to extract the higgs selfcoupling focusing on the leading channel ppto hhxto bbar b gammagammax we utilize new features of the signal events at higher energies and estimate the potential of a highenergy upgrade of the lhc and a future hadron collider with realistic simulations we find that the highenergy upgrade of the lhc to 27 tev would reach a 5sigma observation with an integrated luminosity of 25 ab1 it would have the potential to reach 15 30 accuracy at the 68 95 confidence level to determine the sm higgs boson selfcoupling a future 100 tev collider could improve the selfcoupling measurement to better than 5 10 at the 68 95 confidence level
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1,802.0432
Following Schubert varieties under Feigin's degeneration of the flag variety
We describe the effect of Feigin's flat degeneration of the type $\textrm{A}$ flag variety on its Schubert varieties. In particular, we study when they stay irreducible and in several cases we are able to encode reducibility of the degenerations in terms of symmetric group combinatorics. As a side result, we obtain an identification of some Schubert varieties with Richardson varieties in higher rank partial flag varieties.
math.RT math.AG
we describe the effect of feigins flat degeneration of the type textrma flag variety on its schubert varieties in particular we study when they stay irreducible and in several cases we are able to encode reducibility of the degenerations in terms of symmetric group combinatorics as a side result we obtain an identification of some schubert varieties with richardson varieties in higher rank partial flag varieties
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1,802.04321
Detecting weak signals by combining small P-values in genetic association studies
We approach the problem of combining top-ranking association statistics or P-value from a new perspective which leads to a remarkably simple and powerful method. Statistical methods, such as the Rank Truncated Product (RTP), have been developed for combining top-ranking associations and this general strategy proved to be useful in applications for detecting combined effects of multiple disease components. To increase power, these methods aggregate signals across top ranking SNPs, while adjusting for their total number assessed in a study. Analytic expressions for combined top statistics or P-values tend to be unwieldy, which complicates interpretation, practical implementation, and hinders further developments. Here, we propose the Augmented Rank Truncation (ART) method that retains main characteristics of the RTP but is substantially simpler to implement. ART leads to an efficient form of the adaptive algorithm, an approach where the number of top ranking SNPs is varied to optimize power. We illustrate our methods by strengthening previously reported associations of $\mu$-opioid receptor variants with sensitivity to pain.
stat.ME
we approach the problem of combining topranking association statistics or pvalue from a new perspective which leads to a remarkably simple and powerful method statistical methods such as the rank truncated product rtp have been developed for combining topranking associations and this general strategy proved to be useful in applications for detecting combined effects of multiple disease components to increase power these methods aggregate signals across top ranking snps while adjusting for their total number assessed in a study analytic expressions for combined top statistics or pvalues tend to be unwieldy which complicates interpretation practical implementation and hinders further developments here we propose the augmented rank truncation art method that retains main characteristics of the rtp but is substantially simpler to implement art leads to an efficient form of the adaptive algorithm an approach where the number of top ranking snps is varied to optimize power we illustrate our methods by strengthening previously reported associations of muopioid receptor variants with sensitivity to pain
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1,802.04322
Impact of Rare-earth site Substitution on the Structural, Magnetic and Thermal Properties of Ce$_{1-x}$Eu$_x$CrO$_3$ Orthochromite Solid-solutions
The role of slight changes of the chemical composition on antiferromagnetic ordering of Cr in rare-earth orthochoromites was investigated on a series of ceramic solid-solutions Ce$_{1-x}$Eu${_x}$O$_3$ where x varied from 0 to 1. Gradual replacement of Ce with Eu reduces the cell volume and acts equivalently to applying external pressure. Full replacement of Ce by Eu, on the other hand, reduces the N\'{e}el temperature from 260 K for CeCrO$_3$ to 178 K for EuCrO$_3$ as established by magnetization, heat capacity and neutron powder diffraction measurements. High resolution x-ray powder diffraction measurements on Ce$_{1-x}$Eu${_x}$O$_3$ and neutron powder diffraction studies on CeCrO$_3$ enable to correlate the magnetic properties of the Cr magnetic subsystem with the size of the lattice and minute changes of the bonding and torsion angles within and between the CrO$_6$ octahedra. We find that the sizes and the shapes of the CrO$6$ octahedra remain essentially unchanged as the size of the rare-earth cations is reduced whereas decreasing Cr - O - Cr bonding angles and increasing inclination of neighboring octahedra enable to compensate for the decreasing lattice size.
cond-mat.str-el
the role of slight changes of the chemical composition on antiferromagnetic ordering of cr in rareearth orthochoromites was investigated on a series of ceramic solidsolutions ce_1xeu_xo_3 where x varied from 0 to 1 gradual replacement of ce with eu reduces the cell volume and acts equivalently to applying external pressure full replacement of ce by eu on the other hand reduces the neel temperature from 260 k for cecro_3 to 178 k for eucro_3 as established by magnetization heat capacity and neutron powder diffraction measurements high resolution xray powder diffraction measurements on ce_1xeu_xo_3 and neutron powder diffraction studies on cecro_3 enable to correlate the magnetic properties of the cr magnetic subsystem with the size of the lattice and minute changes of the bonding and torsion angles within and between the cro_6 octahedra we find that the sizes and the shapes of the cro6 octahedra remain essentially unchanged as the size of the rareearth cations is reduced whereas decreasing cr o cr bonding angles and increasing inclination of neighboring octahedra enable to compensate for the decreasing lattice size
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1,802.04323
High-Time-Resolution Photometry of AR Scorpii: Confirmation of the White Dwarf's Spin-Down
The unique binary AR Scorpii consists of an asynchronously rotating, magnetized white dwarf (WD) that interacts with its red-dwarf companion to produce a large-amplitude, highly coherent pulsation every 1.97 minutes. Over the course of two years, we obtained thirty-nine hours of time-resolved, optical photometry of AR Sco at a typical cadence of 5 seconds to study this pulsation. We find that it undergoes significant changes across the binary orbital period and that its amplitude, phase, and waveform all vary as a function of orbital phase. We show that these variations can be explained by constructive and destructive interference between two periodic, double-peaked signals: the spin-orbit beat pulse, and a weaker WD spin pulse. Modelling of the light curve indicates that in the optical, the amplitude of the primary spin pulse is 50% of the primary beat amplitude, while the secondary maxima of the beat and spin pulses have similar amplitudes. Finally, we use our timings of the beat pulses to confirm the presence of the disputed spin-down of the WD. We measure a beat-frequency derivative of -5.14(32) x 10^-17 Hz/s and show that this is attributable to the spin-down of the WD. This value is approximately twice as large as the estimate from Marsh et al. (2016) but is nevertheless consistent with the constraints established in Potter & Buckley (2018). Our precise measurement of the spin-down rate confirms that the decaying rotational energy of the magnetized white dwarf is sufficient to power the excess electromagnetic radiation emitted by the binary.
astro-ph.SR
the unique binary ar scorpii consists of an asynchronously rotating magnetized white dwarf wd that interacts with its reddwarf companion to produce a largeamplitude highly coherent pulsation every 197 minutes over the course of two years we obtained thirtynine hours of timeresolved optical photometry of ar sco at a typical cadence of 5 seconds to study this pulsation we find that it undergoes significant changes across the binary orbital period and that its amplitude phase and waveform all vary as a function of orbital phase we show that these variations can be explained by constructive and destructive interference between two periodic doublepeaked signals the spinorbit beat pulse and a weaker wd spin pulse modelling of the light curve indicates that in the optical the amplitude of the primary spin pulse is 50 of the primary beat amplitude while the secondary maxima of the beat and spin pulses have similar amplitudes finally we use our timings of the beat pulses to confirm the presence of the disputed spindown of the wd we measure a beatfrequency derivative of 51432 x 1017 hzs and show that this is attributable to the spindown of the wd this value is approximately twice as large as the estimate from marsh et al 2016 but is nevertheless consistent with the constraints established in potter buckley 2018 our precise measurement of the spindown rate confirms that the decaying rotational energy of the magnetized white dwarf is sufficient to power the excess electromagnetic radiation emitted by the binary
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1,802.04324
Lie Maps on Alternative Rings
In this paper we study to alternative rings the almost additivity of the Lie multiplicative and Lie triple derivable maps.
math.RA
in this paper we study to alternative rings the almost additivity of the lie multiplicative and lie triple derivable maps
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1,802.04325
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
Modern reinforcement learning algorithms reach super-human performance on many board and video games, but they are sample inefficient, i.e. they typically require significantly more playing experience than humans to reach an equal performance level. To improve sample efficiency, an agent may build a model of the environment and use planning methods to update its policy. In this article we introduce Variational State Tabulation (VaST), which maps an environment with a high-dimensional state space (e.g. the space of visual inputs) to an abstract tabular model. Prioritized sweeping with small backups, a highly efficient planning method, can then be used to update state-action values. We show how VaST can rapidly learn to maximize reward in tasks like 3D navigation and efficiently adapt to sudden changes in rewards or transition probabilities.
cs.LG cs.AI stat.ML
modern reinforcement learning algorithms reach superhuman performance on many board and video games but they are sample inefficient ie they typically require significantly more playing experience than humans to reach an equal performance level to improve sample efficiency an agent may build a model of the environment and use planning methods to update its policy in this article we introduce variational state tabulation vast which maps an environment with a highdimensional state space eg the space of visual inputs to an abstract tabular model prioritized sweeping with small backups a highly efficient planning method can then be used to update stateaction values we show how vast can rapidly learn to maximize reward in tasks like 3d navigation and efficiently adapt to sudden changes in rewards or transition probabilities
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1,802.04326
Embedded Scattering Eigenstates Using Resonant Metasurfaces
Optical embedded eigenstates are localized modes of an open structure that are compatible to radiation yet they have infinite lifetime and diverging quality factors. Their realization in nanostructures finite in all dimensions is inherently challenging, because they require materials with extreme electromagnetic properties. Here we develop a novel approach to realize these bound states in the continuum using ultrathin metasurfaces composed of arrays of nanoparticles. We first show that arrays of lossless nanoparticles can realize the condition for embedded eigenstates, and then explore the use of Ag nanoparticles coated with gain media shells to compensate material loss and revive the embedded eigenstate despite realistic loss in plasmonic materials. We discuss the possible experimental realization of the proposed structures and provide useful guidelines for practical implementation in nanophotonics systems with largely enhanced light-matter interactions. These metasurfaces may lead to highly efficient lasers, filters, frequency comb generation and sensors.
physics.optics
optical embedded eigenstates are localized modes of an open structure that are compatible to radiation yet they have infinite lifetime and diverging quality factors their realization in nanostructures finite in all dimensions is inherently challenging because they require materials with extreme electromagnetic properties here we develop a novel approach to realize these bound states in the continuum using ultrathin metasurfaces composed of arrays of nanoparticles we first show that arrays of lossless nanoparticles can realize the condition for embedded eigenstates and then explore the use of ag nanoparticles coated with gain media shells to compensate material loss and revive the embedded eigenstate despite realistic loss in plasmonic materials we discuss the possible experimental realization of the proposed structures and provide useful guidelines for practical implementation in nanophotonics systems with largely enhanced lightmatter interactions these metasurfaces may lead to highly efficient lasers filters frequency comb generation and sensors
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1,802.04327
Wireless Optimisation via Convex Bandits: Unlicensed LTE/WiFi Coexistence
Bandit Convex Optimisation (BCO) is a powerful framework for sequential decision-making in non-stationary and partially observable environments. In a BCO problem, a decision-maker sequentially picks actions to minimize the cumulative cost associated with these decisions, all while receiving partial feedback about the state of the environment. This formulation is a very natural fit for wireless-network optimisation problems and has great application potential since: i) instead of assuming full observability of the network state, it only requires the metric to optimise as input, and ii) it provides strong performance guarantees while making only minimal assumptions about the network dynamics. Despite these advantages, BCO has not yet been explored in the context of wireless-network optimisation. In this paper, we make the first steps to demonstrate the potential of BCO techniques by formulating an unlicensed LTE/WiFi fair coexistence use case in the framework, and providing experimental results in a simulated environment. On the algorithmic front, we propose a simple and natural sequential multi-point BCO algorithm amenable to wireless networking optimisation, and provide its theoretical analysis. We expect the contributions of this paper to pave the way to further research on the application of online convex methods in the bandit setting.
cs.NI
bandit convex optimisation bco is a powerful framework for sequential decisionmaking in nonstationary and partially observable environments in a bco problem a decisionmaker sequentially picks actions to minimize the cumulative cost associated with these decisions all while receiving partial feedback about the state of the environment this formulation is a very natural fit for wirelessnetwork optimisation problems and has great application potential since i instead of assuming full observability of the network state it only requires the metric to optimise as input and ii it provides strong performance guarantees while making only minimal assumptions about the network dynamics despite these advantages bco has not yet been explored in the context of wirelessnetwork optimisation in this paper we make the first steps to demonstrate the potential of bco techniques by formulating an unlicensed ltewifi fair coexistence use case in the framework and providing experimental results in a simulated environment on the algorithmic front we propose a simple and natural sequential multipoint bco algorithm amenable to wireless networking optimisation and provide its theoretical analysis we expect the contributions of this paper to pave the way to further research on the application of online convex methods in the bandit setting
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1,802.04328
Personal Mobile Malware Guard PMMG: a mobile malware detection technique based on user's preferences
Mobile malware has increased rapidly last 10 years. This rapid increase is due to the rapid enhancement of mobile technology and their power to do most work for their users. Since mobile devices are personal devices, then a special action must be taken towards preserving privacy and security of the mobile data. Malware refers to all types of software applications with malicious behavior. In this paper, we propose a malware detection technique called Personal Mobile Malware Guard ? PMMG- that classifies malwares based on the mobile user feedback. PMMG controls permissions of different applications and their behavior according to the user needs. These preferences are built incrementally on a personal basis according to the feedback of the user. Performance analysis showed that it is theoretically feasible to build PMMG tool and use it on mobile devices.
cs.CR
mobile malware has increased rapidly last 10 years this rapid increase is due to the rapid enhancement of mobile technology and their power to do most work for their users since mobile devices are personal devices then a special action must be taken towards preserving privacy and security of the mobile data malware refers to all types of software applications with malicious behavior in this paper we propose a malware detection technique called personal mobile malware guard pmmg that classifies malwares based on the mobile user feedback pmmg controls permissions of different applications and their behavior according to the user needs these preferences are built incrementally on a personal basis according to the feedback of the user performance analysis showed that it is theoretically feasible to build pmmg tool and use it on mobile devices
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1,802.04329
Search for the Decay of the Higgs Boson to Charm Quarks with the ATLAS Experiment
A direct search for the Standard Model Higgs boson decaying to a pair of charm quarks is presented. Associated production of the Higgs and $Z$ bosons, in the decay mode $ZH\rightarrow \ell^+ \ell^- c \bar{c}$ is studied. A dataset with an integrated luminosity of 36.1 fb$^{-1}$ of $pp$ collisions at $\sqrt{s}=13$ TeV recorded by the ATLAS experiment at the LHC is used. The $H\rightarrow c\bar{c}$ signature is identified using charm-tagging algorithms. The observed (expected) upper limit on $\sigma(pp \rightarrow ZH) \times \mathcal{B}(H \rightarrow c\bar{c})$ is 2.7 ($3.9^{+2.1}_{-1.1}$) pb at the 95% confidence level for a Higgs boson mass of 125 GeV, while the Standard Model value is 26 fb.
hep-ex
a direct search for the standard model higgs boson decaying to a pair of charm quarks is presented associated production of the higgs and z bosons in the decay mode zhrightarrow ell ell c barc is studied a dataset with an integrated luminosity of 361 fb1 of pp collisions at sqrts13 tev recorded by the atlas experiment at the lhc is used the hrightarrow cbarc signature is identified using charmtagging algorithms the observed expected upper limit on sigmapp rightarrow zh times mathcalbh rightarrow cbarc is 27 3921_11 pb at the 95 confidence level for a higgs boson mass of 125 gev while the standard model value is 26 fb
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1,802.0433
Some extensions of the modular method and Fermat equations of signature $(13,13,n)$
We provide several extensions of the modular method which were motivated by the problem of completing previous work to prove that, for any integer $n \geq 2$, the equation \[ x^{13} + y^{13} = 3 z^n \] has no non-trivial solutions. In particular, we present four elimination techniques which are based on: (1) establishing reducibility of certain residual Galois representations over a totally real field; (2) generalizing image of inertia arguments to the setting of abelian surfaces; (3) establishing congruences of Hilbert modular forms without the use of often impractical Sturm bounds; and (4) a unit sieve argument which combines information from classical descent and the modular method. The extensions are of broader applicability and provide further evidence that it is possible to obtain a complete resolution of a family of generalized Fermat equations by remaining within the framework of the modular method. As a further illustration of this, we complete a theorem of Anni-Siksek to show that, for $\ell, m\ge 5$, the only solutions to the equation $x^{2\ell} + y^{2m} = z^{13}$ are the trivial ones.
math.NT
we provide several extensions of the modular method which were motivated by the problem of completing previous work to prove that for any integer n geq 2 the equation x13 y13 3 zn has no nontrivial solutions in particular we present four elimination techniques which are based on 1 establishing reducibility of certain residual galois representations over a totally real field 2 generalizing image of inertia arguments to the setting of abelian surfaces 3 establishing congruences of hilbert modular forms without the use of often impractical sturm bounds and 4 a unit sieve argument which combines information from classical descent and the modular method the extensions are of broader applicability and provide further evidence that it is possible to obtain a complete resolution of a family of generalized fermat equations by remaining within the framework of the modular method as a further illustration of this we complete a theorem of annisiksek to show that for ell mge 5 the only solutions to the equation x2ell y2m z13 are the trivial ones
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1,802.04331
Reconstruction of compacta by finite approximations and Inverse Persistence
The aim of this paper is to show how the homotopy type of compact metric spaces can be reconstructed by the inverse limit of an inverse sequence of finite approximations of the corresponding space. This recovering allows us to define inverse persistence as a new kind of persistence process.
math.GT math.AT math.GN
the aim of this paper is to show how the homotopy type of compact metric spaces can be reconstructed by the inverse limit of an inverse sequence of finite approximations of the corresponding space this recovering allows us to define inverse persistence as a new kind of persistence process
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1,802.04332
Entropy Penalized Semidefinite Programming
Low-rank methods for semidefinite programming (SDP) have gained a lot of interest recently, especially in machine learning applications. Their analysis often involves determinant-based or Schatten-norm penalties, which are hard to implement in practice due to high computational efforts. In this paper, we propose Entropy Penalized Semi-definite programming (EP-SDP) which provides a unified framework for a wide class of penalty functions used in practice to promote a low-rank solution. We show that EP-SDP problems admit efficient numerical algorithm having (almost) linear time complexity of the gradient iteration which makes it useful for many machine learning and optimization problems. We illustrate the practical efficiency of our approach on several combinatorial optimization and machine learning problems.
math.OC
lowrank methods for semidefinite programming sdp have gained a lot of interest recently especially in machine learning applications their analysis often involves determinantbased or schattennorm penalties which are hard to implement in practice due to high computational efforts in this paper we propose entropy penalized semidefinite programming epsdp which provides a unified framework for a wide class of penalty functions used in practice to promote a lowrank solution we show that epsdp problems admit efficient numerical algorithm having almost linear time complexity of the gradient iteration which makes it useful for many machine learning and optimization problems we illustrate the practical efficiency of our approach on several combinatorial optimization and machine learning problems
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1,802.04333
Quantum oscillations in a biaxial pair density wave state
There has been growing speculation that a pair density wave state is a key component of the phenomenology of the pseudogap phase in the cuprates. Recently, direct evidence for such a state has emerged from an analysis of scanning tunneling microscopy data in halos around the vortex cores. By extrapolation, these vortex halos would then overlap at a magnetic field scale where quantum oscillations have been observed. Here, we show that a biaxial pair density wave state gives a unique description of the quantum oscillation data, bolstering the case that the pseudogap phase in the cuprates may be a pair density wave state.
cond-mat.supr-con
there has been growing speculation that a pair density wave state is a key component of the phenomenology of the pseudogap phase in the cuprates recently direct evidence for such a state has emerged from an analysis of scanning tunneling microscopy data in halos around the vortex cores by extrapolation these vortex halos would then overlap at a magnetic field scale where quantum oscillations have been observed here we show that a biaxial pair density wave state gives a unique description of the quantum oscillation data bolstering the case that the pseudogap phase in the cuprates may be a pair density wave state
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1,802.04334
On the Light Massive Flavor Dependence of the Top Quark Mass
We provide a systematic renormalization group formalism to study the mass effects in the relation of the pole mass and short-distance masses such as the $\overline{\mathrm{MS}}$ mass of a heavy quark $Q$, coming from virtual loop insertions of massive quarks lighter than $Q$ with the main focus on the top quark. The formalism reflects the constraints from heavy quark symmetry and entails a combined matching and evolution procedure that allows to disentangle and successively integrate out the corrections coming from the lighter massive quarks and the momentum regions between them and also to precisely control the large order asymptotic behavior. The formalism is used to study the asymptotic behavior of light massive flavor contributions and is applied to predict the ${\cal O}(\alpha_s^4)$ virtual quark mass corrections, calculate the pole mass differences for massive quark flavors with a precision of around 20 MeV, and determine the pole mass ambiguity which amounts to 250 MeV in the physical case of three massless quark flavors.
hep-ph
we provide a systematic renormalization group formalism to study the mass effects in the relation of the pole mass and shortdistance masses such as the overlinemathrmms mass of a heavy quark q coming from virtual loop insertions of massive quarks lighter than q with the main focus on the top quark the formalism reflects the constraints from heavy quark symmetry and entails a combined matching and evolution procedure that allows to disentangle and successively integrate out the corrections coming from the lighter massive quarks and the momentum regions between them and also to precisely control the large order asymptotic behavior the formalism is used to study the asymptotic behavior of light massive flavor contributions and is applied to predict the cal oalpha_s4 virtual quark mass corrections calculate the pole mass differences for massive quark flavors with a precision of around 20 mev and determine the pole mass ambiguity which amounts to 250 mev in the physical case of three massless quark flavors
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1,802.04335
Neural Program Search: Solving Programming Tasks from Description and Examples
We present a Neural Program Search, an algorithm to generate programs from natural language description and a small number of input/output examples. The algorithm combines methods from Deep Learning and Program Synthesis fields by designing rich domain-specific language (DSL) and defining efficient search algorithm guided by a Seq2Tree model on it. To evaluate the quality of the approach we also present a semi-synthetic dataset of descriptions with test examples and corresponding programs. We show that our algorithm significantly outperforms a sequence-to-sequence model with attention baseline.
cs.AI cs.CL cs.PL
we present a neural program search an algorithm to generate programs from natural language description and a small number of inputoutput examples the algorithm combines methods from deep learning and program synthesis fields by designing rich domainspecific language dsl and defining efficient search algorithm guided by a seq2tree model on it to evaluate the quality of the approach we also present a semisynthetic dataset of descriptions with test examples and corresponding programs we show that our algorithm significantly outperforms a sequencetosequence model with attention baseline
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1,802.04336
Ab initio model of optical properties of two-temperature warm dense matter
We present a model to describe thermophysical and optical properties of two-temperature systems consisted of heated electrons and cold ions in a solid lattice that occur during ultrafast heating experiments. Our model is based on ab initio simulations within the framework of density functional theory. The optical properties are obtained by evaluating the Kubo-Greenwood formula. By applying the material parameters of our ab initio model to a two-temperature model we are able to describe the temperature relaxation process of femtosecond-laser-heated gold and its optical properties within the same theoretical framework. Recent time-resolved measurements of optical properties of ultrafast heated gold revealed the dynamics of the interaction between femtosecond laser pulses and solid state matter. Different scenarios obtained from simulations of our study are compared with experimental data [Chen, Holst, Kirkwood, Sametoglu, Reid, Tsui, Recoules, and Ng, Phys. Rev. Lett. 110, 135001 (2013)].
physics.plasm-ph physics.comp-ph
we present a model to describe thermophysical and optical properties of twotemperature systems consisted of heated electrons and cold ions in a solid lattice that occur during ultrafast heating experiments our model is based on ab initio simulations within the framework of density functional theory the optical properties are obtained by evaluating the kubogreenwood formula by applying the material parameters of our ab initio model to a twotemperature model we are able to describe the temperature relaxation process of femtosecondlaserheated gold and its optical properties within the same theoretical framework recent timeresolved measurements of optical properties of ultrafast heated gold revealed the dynamics of the interaction between femtosecond laser pulses and solid state matter different scenarios obtained from simulations of our study are compared with experimental data chen holst kirkwood sametoglu reid tsui recoules and ng phys rev lett 110 135001 2013
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1,802.04337
An Ontology Based Modeling Framework for Design of Educational Technologies
Despite rapid progress, most of the educational technologies today lack a strong instructional design knowledge basis leading to questionable quality of instruction. In addition, a major challenge is to customize these educational technologies for a wide range of instructional designs. Ontologies are one of the pertinent mechanisms to represent instructional design in the literature. However, existing approaches do not support modeling of flexible instructional designs. To address this problem, in this paper, we propose an ontology based framework for systematic modeling of different aspects of instructional design knowledge based on domain patterns. As part of the framework, we present ontologies for modeling goals, instructional processes and instructional materials. We demonstrate the ontology framework by presenting instances of the ontology for the large scale case study of adult literacy in India (287 million learners spread across 22 Indian Languages), which requires creation of 1000 similar but varied eLearning Systems based on flexible instructional designs. The implemented framework is available at http://rice.iiit.ac.in and is transferred to National Literacy Mission of Government of India. This framework could be used for modeling instructional design knowledge of systems for skills, school education and beyond.
cs.CY cs.AI
despite rapid progress most of the educational technologies today lack a strong instructional design knowledge basis leading to questionable quality of instruction in addition a major challenge is to customize these educational technologies for a wide range of instructional designs ontologies are one of the pertinent mechanisms to represent instructional design in the literature however existing approaches do not support modeling of flexible instructional designs to address this problem in this paper we propose an ontology based framework for systematic modeling of different aspects of instructional design knowledge based on domain patterns as part of the framework we present ontologies for modeling goals instructional processes and instructional materials we demonstrate the ontology framework by presenting instances of the ontology for the large scale case study of adult literacy in india 287 million learners spread across 22 indian languages which requires creation of 1000 similar but varied elearning systems based on flexible instructional designs the implemented framework is available at httpriceiiitacin and is transferred to national literacy mission of government of india this framework could be used for modeling instructional design knowledge of systems for skills school education and beyond
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1,802.04338
Kalman Prediction Based Proportional Fair Resource Allocation for a Solar Powered Wireless Downlink
Optimization of a Wireless Sensor Network (WSN) downlink with an energy harvesting transmitter (base station) is considered. The base station (BS), which is attached to the central controller of the network, sends control information to the gateways of individual WSNs in the downlink. This paper specifically addresses the case where the BS is supplied with solar energy. Leveraging the daily periodicity inherent in solar energy harvesting, the schedule for delivery of maintenance messages from the BS to the nodes of a distributed network is optimized. Differences in channel gain from the BS to sensor nodes make it a challenge to provide service to each of them while efficiently spending the harvested energy. Based on PTF (Power-Time-Fair), a close-to-optimal solution for fair allocation of harvested energy in a wireless downlink proposed in previous work, we develop an online algorithm, PTF-On, that operates two algorithms in tandem: A prediction algorithm based on a Kalman filter that operates on solar irradiation measurements, and a modified version of PTF. PTF-On can predict the energy arrival profile throughout the day and schedule transmission to nodes to maximize total throughput in a proportionally fair way.
cs.NI
optimization of a wireless sensor network wsn downlink with an energy harvesting transmitter base station is considered the base station bs which is attached to the central controller of the network sends control information to the gateways of individual wsns in the downlink this paper specifically addresses the case where the bs is supplied with solar energy leveraging the daily periodicity inherent in solar energy harvesting the schedule for delivery of maintenance messages from the bs to the nodes of a distributed network is optimized differences in channel gain from the bs to sensor nodes make it a challenge to provide service to each of them while efficiently spending the harvested energy based on ptf powertimefair a closetooptimal solution for fair allocation of harvested energy in a wireless downlink proposed in previous work we develop an online algorithm ptfon that operates two algorithms in tandem a prediction algorithm based on a kalman filter that operates on solar irradiation measurements and a modified version of ptf ptfon can predict the energy arrival profile throughout the day and schedule transmission to nodes to maximize total throughput in a proportionally fair way
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1,802.04339
Multi-Armed Bandits on Partially Revealed Unit Interval Graphs
A stochastic multi-armed bandit problem with side information on the similarity and dissimilarity across different arms is considered. The action space of the problem can be represented by a unit interval graph (UIG) where each node represents an arm and the presence (absence) of an edge between two nodes indicates similarity (dissimilarity) between their mean rewards. Two settings of complete and partial side information based on whether the UIG is fully revealed are studied and a general two-step learning structure consisting of an offline reduction of the action space and online aggregation of reward observations from similar arms is proposed to fully exploit the topological structure of the side information. In both cases, the computation efficiency and the order optimality of the proposed learning policies in terms of both the size of the action space and the time length are established.
cs.LG
a stochastic multiarmed bandit problem with side information on the similarity and dissimilarity across different arms is considered the action space of the problem can be represented by a unit interval graph uig where each node represents an arm and the presence absence of an edge between two nodes indicates similarity dissimilarity between their mean rewards two settings of complete and partial side information based on whether the uig is fully revealed are studied and a general twostep learning structure consisting of an offline reduction of the action space and online aggregation of reward observations from similar arms is proposed to fully exploit the topological structure of the side information in both cases the computation efficiency and the order optimality of the proposed learning policies in terms of both the size of the action space and the time length are established
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1,802.0434
Validation of a fractional model for erythrocyte sedimentation rate
We present the validation of a recent fractional mathematical model for erythrocyte sedimentation proposed by Sharma et al. \cite{GMR}. The model uses a Caputo fractional derivative to build a time fractional diffusion equation suitable to predict blood sedimentation rates. This validation was carried out by means of erythrocyte sedimentation tests in laboratory. Data on sedimentation rates (percentages) were analyzed and compared with the analytical solution of the time fractional diffusion equation. The behavior of the analytical solution related to each blood sample sedimentation data was described and analyzed.
q-bio.TO math.CA
we present the validation of a recent fractional mathematical model for erythrocyte sedimentation proposed by sharma et al citegmr the model uses a caputo fractional derivative to build a time fractional diffusion equation suitable to predict blood sedimentation rates this validation was carried out by means of erythrocyte sedimentation tests in laboratory data on sedimentation rates percentages were analyzed and compared with the analytical solution of the time fractional diffusion equation the behavior of the analytical solution related to each blood sample sedimentation data was described and analyzed
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1,802.04341
Freezing on a Sphere
The best-understood crystal ordering transition is that of two-dimensional freezing, which proceeds by the rapid eradication of lattice defects as the temperature is lowered below a critical threshold. But crystals that assemble on closed surfaces are required by topology to have a minimum number of lattice defects, called disclinations, that act as conserved topological charges; consider the 12 pentagons on a soccer ball or the 12 pentamers in a viral capsid. Moreover, crystals assembled on curved surfaces can spontaneously develop additional defects to alleviate the stress imposed by the curvature. How then can we have crystallization on a sphere, the simplest curved surface where it is impossible to eliminate these defects? Here we show that freezing on a sphere proceeds by the formation of a single, encompassing "continent," which forces defects into 12 isolated "seas" with the same icosahedral symmetry as soccer balls and viruses. We use this broken symmetry - aligning the vertices of an icosahedron with the defect seas and unfolding the faces onto a plane - to construct a new order parameter that reveals the underlying long-range orientational order of the lattice. These results further our understanding of the thermodynamic and mechanical properties of naturally occurring structures, such as viral capsids, lipid vesicles, and bacterial s-layers, and show that the spontaneous sequestration and organization of defects can produce mechanical and dynamical inhomogeneities in otherwise homogeneous materials.
cond-mat.soft
the bestunderstood crystal ordering transition is that of twodimensional freezing which proceeds by the rapid eradication of lattice defects as the temperature is lowered below a critical threshold but crystals that assemble on closed surfaces are required by topology to have a minimum number of lattice defects called disclinations that act as conserved topological charges consider the 12 pentagons on a soccer ball or the 12 pentamers in a viral capsid moreover crystals assembled on curved surfaces can spontaneously develop additional defects to alleviate the stress imposed by the curvature how then can we have crystallization on a sphere the simplest curved surface where it is impossible to eliminate these defects here we show that freezing on a sphere proceeds by the formation of a single encompassing continent which forces defects into 12 isolated seas with the same icosahedral symmetry as soccer balls and viruses we use this broken symmetry aligning the vertices of an icosahedron with the defect seas and unfolding the faces onto a plane to construct a new order parameter that reveals the underlying longrange orientational order of the lattice these results further our understanding of the thermodynamic and mechanical properties of naturally occurring structures such as viral capsids lipid vesicles and bacterial slayers and show that the spontaneous sequestration and organization of defects can produce mechanical and dynamical inhomogeneities in otherwise homogeneous materials
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1,802.04342
Posets arising as 1-skeleta of simple polytopes, the nonrevisiting path conjecture, and poset topology
Given any polytope $P$ and any generic linear functional ${\bf c} $, one obtains a directed graph $G(P,{\bf c})$ from the 1-skeleton of $P$ by orienting each edge $e(u,v)$ from $u$ to $v$ for ${\bf c} (u) < {\bf c} ( v)$. For $P$ a simple polytope and $G(P,{\bf c})$ the Hasse diagram of a lattice $L$, the join of any collection $S$ of elements which all cover a common element $u$ in $L$ is proven to equal the sink of the smallest face of $P$ containing $u$ and all of the elements of $S$. The author conjectures for such $G(P,{\bf c})$ that no directed path in $G(P,{\bf c})$ ever revisits any facet of $P$. This would imply for such $P$ and ${\bf c}$ that the simplex method for linear programming is efficient under all possible pivot rules. This conjecture is proven for 3-polytopes and for spindles. For simple polytopes in which $G(P,{\bf c})$ is the Hasse diagram of a lattice $L$, the order complex of each open interval in $L$ is proven homotopy equivalent to a ball or a sphere. Applications are given to the weak Bruhat order, the Tamari lattice, and the Cambrian lattices. This paper concludes with an appendix by Dominik Preu\ss proving the monotone Hirsch conjecture for $P$ a simple polytope and $G(P,{\bf c})$ the Hasse diagram of a lattice. This confirms one of the main consequences that the author's conjecture would have.
math.CO math.AT math.OC
given any polytope p and any generic linear functional bf c one obtains a directed graph gpbf c from the 1skeleton of p by orienting each edge euv from u to v for bf c u bf c v for p a simple polytope and gpbf c the hasse diagram of a lattice l the join of any collection s of elements which all cover a common element u in l is proven to equal the sink of the smallest face of p containing u and all of the elements of s the author conjectures for such gpbf c that no directed path in gpbf c ever revisits any facet of p this would imply for such p and bf c that the simplex method for linear programming is efficient under all possible pivot rules this conjecture is proven for 3polytopes and for spindles for simple polytopes in which gpbf c is the hasse diagram of a lattice l the order complex of each open interval in l is proven homotopy equivalent to a ball or a sphere applications are given to the weak bruhat order the tamari lattice and the cambrian lattices this paper concludes with an appendix by dominik preuss proving the monotone hirsch conjecture for p a simple polytope and gpbf c the hasse diagram of a lattice this confirms one of the main consequences that the authors conjecture would have
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1,802.04343
Stabilization of derivators revisited
We revisit and improve Alex Heller's results on the stabilization of derivators in Stable Homotopy Theories and Stabilization (J Pure Appl Algebra, 115(2):113-130, 1997), recovering his results entirely. Along the way we give some details of the localization theory of derivators and prove some new results in that vein.
math.CT math.AT math.KT
we revisit and improve alex hellers results on the stabilization of derivators in stable homotopy theories and stabilization j pure appl algebra 1152113130 1997 recovering his results entirely along the way we give some details of the localization theory of derivators and prove some new results in that vein
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1,802.04344
1-Shell totally symmetric plane partitions (TSPPs) modulo powers of 5
Let $s(n)$ be the number of 1-shell totally symmetric plane partitions (TSPPs) of $n$. In this paper, an infinite family of congruences modulo powers of $5$ for $s(n)$ will be deduced through an elementary approach. Namely, $$s\left(2\cdot 5^{2\alpha-1}n+5^{2\alpha-1}\right)\equiv 0 \pmod{5^{\alpha}}.$$
math.NT math.CO
let sn be the number of 1shell totally symmetric plane partitions tspps of n in this paper an infinite family of congruences modulo powers of 5 for sn will be deduced through an elementary approach namely sleft2cdot 52alpha1n52alpha1rightequiv 0 pmod5alpha
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1,802.04345
Localization in internets of mobile agents: A linear approach
Fifth generation~(5G) networks providing much higher bandwidth and faster data rates will allow connecting vast number of static and mobile devices, sensors, agents, users, machines, and vehicles, supporting Internet-of-Things (IoT), real-time dynamic networks of mobile things. Positioning and location awareness will become increasingly important, enabling deployment of new services and contributing to significantly improving the overall performance of the 5G~system. Many of the currently talked about solutions to positioning in~5G are centralized, mostly requiring direct line-of-sight (LoS) to deployed access nodes or anchors at the same time, which in turn requires high-density deployments of anchors. But these LoS and centralized positioning solutions may become unwieldy as the number of users and devices continues to grow without limit in sight. As an alternative to the centralized solutions, this paper discusses distributed localization in a 5G enabled IoT environment where many low power devices, users, or agents are to locate themselves without global or LoS access to anchors. Even though positioning is essentially a non-linear problem (solving circle equations by trilateration or triangulation), we discuss a cooperative \textit{linear} distributed iterative solution with only local measurements, communication and computation needed at each agent. Linearity is obtained by reparametrization of the agent location through barycentric coordinate representations based on local neighborhood geometry that may be computed in terms of certain Cayley-Menger determinants involving relative local inter-agent distance measurements.
cs.SY cs.NI
fifth generation5g networks providing much higher bandwidth and faster data rates will allow connecting vast number of static and mobile devices sensors agents users machines and vehicles supporting internetofthings iot realtime dynamic networks of mobile things positioning and location awareness will become increasingly important enabling deployment of new services and contributing to significantly improving the overall performance of the 5gsystem many of the currently talked about solutions to positioning in5g are centralized mostly requiring direct lineofsight los to deployed access nodes or anchors at the same time which in turn requires highdensity deployments of anchors but these los and centralized positioning solutions may become unwieldy as the number of users and devices continues to grow without limit in sight as an alternative to the centralized solutions this paper discusses distributed localization in a 5g enabled iot environment where many low power devices users or agents are to locate themselves without global or los access to anchors even though positioning is essentially a nonlinear problem solving circle equations by trilateration or triangulation we discuss a cooperative textitlinear distributed iterative solution with only local measurements communication and computation needed at each agent linearity is obtained by reparametrization of the agent location through barycentric coordinate representations based on local neighborhood geometry that may be computed in terms of certain cayleymenger determinants involving relative local interagent distance measurements
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1,802.04346
Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute
This work addresses the situation where a black-box model with good predictive performance is chosen over its interpretable competitors, and we show interpretability is still achievable in this case. Our solution is to find an interpretable substitute on a subset of data where the black-box model is overkill or nearly overkill while leaving the rest to the black-box. This transparency is obtained at minimal cost or no cost of the predictive performance. Under this framework, we develop a Hybrid Rule Sets (HyRS) model that uses decision rules to capture the subspace of data where the rules are as accurate or almost as accurate as the black-box provided. To train a HyRS, we devise an efficient search algorithm that iteratively finds the optimal model and exploits theoretically grounded strategies to reduce computation. Our framework is agnostic to the black-box during training. Experiments on structured and text data show that HyRS obtains an effective trade-off between transparency and interpretability.
cs.LG stat.ML
this work addresses the situation where a blackbox model with good predictive performance is chosen over its interpretable competitors and we show interpretability is still achievable in this case our solution is to find an interpretable substitute on a subset of data where the blackbox model is overkill or nearly overkill while leaving the rest to the blackbox this transparency is obtained at minimal cost or no cost of the predictive performance under this framework we develop a hybrid rule sets hyrs model that uses decision rules to capture the subspace of data where the rules are as accurate or almost as accurate as the blackbox provided to train a hyrs we devise an efficient search algorithm that iteratively finds the optimal model and exploits theoretically grounded strategies to reduce computation our framework is agnostic to the blackbox during training experiments on structured and text data show that hyrs obtains an effective tradeoff between transparency and interpretability
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1,802.04347
Spatial dynamics of flower organ formation
Understanding the emergence of biological structures and their changes is a complex problem. On a biochemical level, it is based on gene regulatory networks (GRN) consisting on interactions between the genes responsible for cell differentiation and coupled in a greater scale with external factors. In this work we provide a systematic methodological framework to construct Waddington's epigenetic landscape of the GRN involved in cellular determination during the early stages of development of angiosperms. As a specific example we consider the flower of the plant \textit{Arabidopsis thaliana}. Our model, which is based on experimental data, recovers accurately the spatial configuration of the flower during cell fate determination, not only for the wild type, but for its homeotic mutants as well. The method developed in this project is general enough to be used in the study of the relationship between genotype-phenotype in other living organisms.
q-bio.TO q-bio.PE
understanding the emergence of biological structures and their changes is a complex problem on a biochemical level it is based on gene regulatory networks grn consisting on interactions between the genes responsible for cell differentiation and coupled in a greater scale with external factors in this work we provide a systematic methodological framework to construct waddingtons epigenetic landscape of the grn involved in cellular determination during the early stages of development of angiosperms as a specific example we consider the flower of the plant textitarabidopsis thaliana our model which is based on experimental data recovers accurately the spatial configuration of the flower during cell fate determination not only for the wild type but for its homeotic mutants as well the method developed in this project is general enough to be used in the study of the relationship between genotypephenotype in other living organisms
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1,802.04348
To the question about perturbations of solar-terrestrial characteristics
Data obtained over the last three solar cycles have been analysed to reveal the relationships between the intensity of the photospheric field measured along the line of sight by the WSO group at heliolatitudes from -75 to 75 degrees and the intensity of the interplanetary magnetic field and absolute values of the perturbations of the different characteristics of the solar wind at the Earth orbit, and geomagnetic parameters. provided by the OMNI team. The heliospheric and geomagnetic data are found to be divided into two groups characterized by their response to variability of the solar magnetic field latitudinal structures on short and on long time scales.
physics.geo-ph astro-ph.SR physics.plasm-ph
data obtained over the last three solar cycles have been analysed to reveal the relationships between the intensity of the photospheric field measured along the line of sight by the wso group at heliolatitudes from 75 to 75 degrees and the intensity of the interplanetary magnetic field and absolute values of the perturbations of the different characteristics of the solar wind at the earth orbit and geomagnetic parameters provided by the omni team the heliospheric and geomagnetic data are found to be divided into two groups characterized by their response to variability of the solar magnetic field latitudinal structures on short and on long time scales
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1,802.04349
Intuitive Hand Teleoperation by Novice Operators Using a Continuous Teleoperation Subspace
Human-in-the-loop manipulation is useful in when autonomous grasping is not able to deal sufficiently well with corner cases or cannot operate fast enough. Using the teleoperator's hand as an input device can provide an intuitive control method but requires mapping between pose spaces which may not be similar. We propose a low-dimensional and continuous teleoperation subspace which can be used as an intermediary for mapping between different hand pose spaces. We present an algorithm to project between pose space and teleoperation subspace. We use a non-anthropomorphic robot to experimentally prove that it is possible for teleoperation subspaces to effectively and intuitively enable teleoperation. In experiments, novice users completed pick and place tasks significantly faster using teleoperation subspace mapping than they did using state of the art teleoperation methods.
cs.RO
humanintheloop manipulation is useful in when autonomous grasping is not able to deal sufficiently well with corner cases or cannot operate fast enough using the teleoperators hand as an input device can provide an intuitive control method but requires mapping between pose spaces which may not be similar we propose a lowdimensional and continuous teleoperation subspace which can be used as an intermediary for mapping between different hand pose spaces we present an algorithm to project between pose space and teleoperation subspace we use a nonanthropomorphic robot to experimentally prove that it is possible for teleoperation subspaces to effectively and intuitively enable teleoperation in experiments novice users completed pick and place tasks significantly faster using teleoperation subspace mapping than they did using state of the art teleoperation methods
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1,802.0435
Cost-Aware Learning for Improved Identifiability with Multiple Experiments
We analyze the sample complexity of learning from multiple experiments where the experimenter has a total budget for obtaining samples. In this problem, the learner should choose a hypothesis that performs well with respect to multiple experiments, and their related data distributions. Each collected sample is associated with a cost which depends on the particular experiments. In our setup, a learner performs $m$ experiments, while incurring a total cost $C$. We first show that learning from multiple experiments allows to improve identifiability. Additionally, by using a Rademacher complexity approach, we show that the gap between the training and generalization error is $O(C^{-1/2})$. We also provide some examples for linear prediction, two-layer neural networks and kernel methods.
cs.LG stat.ML
we analyze the sample complexity of learning from multiple experiments where the experimenter has a total budget for obtaining samples in this problem the learner should choose a hypothesis that performs well with respect to multiple experiments and their related data distributions each collected sample is associated with a cost which depends on the particular experiments in our setup a learner performs m experiments while incurring a total cost c we first show that learning from multiple experiments allows to improve identifiability additionally by using a rademacher complexity approach we show that the gap between the training and generalization error is oc12 we also provide some examples for linear prediction twolayer neural networks and kernel methods
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1,802.04351
A first look at the usability of bitcoin key management
Bitcoin users are directly or indirectly forced to deal with public key cryptography, which has a number of security and usability challenges that differ from the password-based authentication underlying most online banking services. Users must ensure that keys are simultaneously accessible, resistant to digital theft and resilient to loss. In this paper, we contribute an evaluation framework for comparing Bitcoin key management approaches, and conduct a broad usability evaluation of six representative Bitcoin clients. We find that Bitcoin shares many of the fundamental challenges of key management known from other domains, but that Bitcoin may present a unique opportunity to rethink key management for end users.
cs.CR cs.CY cs.ET cs.HC
bitcoin users are directly or indirectly forced to deal with public key cryptography which has a number of security and usability challenges that differ from the passwordbased authentication underlying most online banking services users must ensure that keys are simultaneously accessible resistant to digital theft and resilient to loss in this paper we contribute an evaluation framework for comparing bitcoin key management approaches and conduct a broad usability evaluation of six representative bitcoin clients we find that bitcoin shares many of the fundamental challenges of key management known from other domains but that bitcoin may present a unique opportunity to rethink key management for end users
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1,802.04352
Homogeneity and rigidity in Erd\H{o}s spaces
We investigate the homogeneity of topological subspaces of separable Hilbert space, akin to the spaces with all points rational or all points irrational, so-called Erd\H{o}s spaces. We provide a non-homogeneous example, that is based on one set of coordinates using, and a rigid example, based on a sequence of coordinate sets.
math.GN
we investigate the homogeneity of topological subspaces of separable hilbert space akin to the spaces with all points rational or all points irrational socalled erdhos spaces we provide a nonhomogeneous example that is based on one set of coordinates using and a rigid example based on a sequence of coordinate sets
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1,802.04353
A Data-Driven Approach to Extract Connectivity Structures from Diffusion Tensor Imaging Data
Diffusion Tensor Imaging (DTI) is an effective tool for the analysis of structural brain connectivity in normal development and in a broad range of brain disorders. However efforts to derive inherent characteristics of structural brain networks have been hampered by the very high dimensionality of the data, relatively small sample sizes, and the lack of widely acceptable connectivity-based regions of interests (ROIs). Typical approaches have focused either on regions defined by standard anatomical atlases that do not incorporate anatomical connectivity, or have been based on voxel-wise analysis, which results in loss of statistical power relative to structure-wise connectivity analysis. In this work, we propose a novel, computationally efficient iterative clustering method to generate connectivity-based whole-brain parcellations that converge to a stable parcellation in a few iterations. Our algorithm is based on a sparse representation of the whole brain connectivity matrix, which reduces the number of edges from around a half billion to a few million while incorporating the necessary spatial constraints. We show that the resulting regions in a sense capture the inherent connectivity information present in the data, and are stable with respect to initialization and the randomization scheme within the algorithm. These parcellations provide consistent structural regions across the subjects of population samples that are homogeneous with respect to anatomic connectivity. Our method also derives connectivity structures that can be used to distinguish between population samples with known different structural connectivity. In particular, new results in structural differences for different population samples such as Females vs Males, Normal Controls vs Schizophrenia, and different age groups in Normal Controls are also shown.
cs.CE q-bio.NC stat.AP
diffusion tensor imaging dti is an effective tool for the analysis of structural brain connectivity in normal development and in a broad range of brain disorders however efforts to derive inherent characteristics of structural brain networks have been hampered by the very high dimensionality of the data relatively small sample sizes and the lack of widely acceptable connectivitybased regions of interests rois typical approaches have focused either on regions defined by standard anatomical atlases that do not incorporate anatomical connectivity or have been based on voxelwise analysis which results in loss of statistical power relative to structurewise connectivity analysis in this work we propose a novel computationally efficient iterative clustering method to generate connectivitybased wholebrain parcellations that converge to a stable parcellation in a few iterations our algorithm is based on a sparse representation of the whole brain connectivity matrix which reduces the number of edges from around a half billion to a few million while incorporating the necessary spatial constraints we show that the resulting regions in a sense capture the inherent connectivity information present in the data and are stable with respect to initialization and the randomization scheme within the algorithm these parcellations provide consistent structural regions across the subjects of population samples that are homogeneous with respect to anatomic connectivity our method also derives connectivity structures that can be used to distinguish between population samples with known different structural connectivity in particular new results in structural differences for different population samples such as females vs males normal controls vs schizophrenia and different age groups in normal controls are also shown
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1,802.04354
Chance-constrained optimal location of damping control actuators under wind power variability
This paper proposes a new probabilistic energy-based method to determine the optimal installation location of electronically-interfaced resources (EIRs) considering dynamic reinforcement under wind variability in systems with high penetration of wind power. The oscillation energy and total action are used to compare the dynamic performance for different EIR locations. A linear approximation of the total action critically reduces the computational time from hours to minutes. Simulating an IEEE-39 bus system with 30% of power generation sourced from wind, a chance-constrained optimization is carried out to decide the location of an energy storage system (ESS) adding damping to the system oscillations. The results show that the proposed method, selecting the bus location that guarantees the best dynamic performance with highest probability, is superior to both traditional dominant mode analysis and arbitrary benchmarks for damping ratios.
cs.SY math.DS math.OC
this paper proposes a new probabilistic energybased method to determine the optimal installation location of electronicallyinterfaced resources eirs considering dynamic reinforcement under wind variability in systems with high penetration of wind power the oscillation energy and total action are used to compare the dynamic performance for different eir locations a linear approximation of the total action critically reduces the computational time from hours to minutes simulating an ieee39 bus system with 30 of power generation sourced from wind a chanceconstrained optimization is carried out to decide the location of an energy storage system ess adding damping to the system oscillations the results show that the proposed method selecting the bus location that guarantees the best dynamic performance with highest probability is superior to both traditional dominant mode analysis and arbitrary benchmarks for damping ratios
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1,802.04355
Analysis of fluid flow models
Markov-modulated fluids have a long history. They form a simple class of Markov additive processes, and were initially developed in the 1950s as models for dams and reservoirs, before gaining much popularity in the 1980s as models for buffers in telecommunication systems, when they became known as fluid queues. More recent applications are in risk theory and in environmental studies. In telecommunication systems modelling, the attention focuses on determining the stationary distribution of the buffer content. Early ODE resolution techniques have progressively given way to approaches grounded in the analysis of the physical evolution of the system, and one only needs now to solve a Riccati equation in order to obtain several quantities of interest. To the early algorithms proposed in the Applied Probability literature, numerical analysts have added new algorithms, improved in terms of convergence speed, numerical accuracy, and domain of applicability. We give here a high-level presentation of the matrix-analytic approach to the analysis of fluid queues, briefly address computational issues, and conclude by indicating how this has been extended to more general processes.
math.PR
markovmodulated fluids have a long history they form a simple class of markov additive processes and were initially developed in the 1950s as models for dams and reservoirs before gaining much popularity in the 1980s as models for buffers in telecommunication systems when they became known as fluid queues more recent applications are in risk theory and in environmental studies in telecommunication systems modelling the attention focuses on determining the stationary distribution of the buffer content early ode resolution techniques have progressively given way to approaches grounded in the analysis of the physical evolution of the system and one only needs now to solve a riccati equation in order to obtain several quantities of interest to the early algorithms proposed in the applied probability literature numerical analysts have added new algorithms improved in terms of convergence speed numerical accuracy and domain of applicability we give here a highlevel presentation of the matrixanalytic approach to the analysis of fluid queues briefly address computational issues and conclude by indicating how this has been extended to more general processes
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1,802.04356
Wall roughness induces asymptotic ultimate turbulence
Turbulence is omnipresent in Nature and technology, governing the transport of heat, mass, and momentum on multiple scales. For real-world applications of wall-bounded turbulence, the underlying surfaces are virtually always rough; yet characterizing and understanding the effects of wall roughness for turbulence remains a challenge, especially for rotating and thermally driven turbulence. By combining extensive experiments and numerical simulations, here, taking as example the paradigmatic Taylor-Couette system (the closed flow between two independently rotating coaxial cylinders), we show how wall roughness greatly enhances the overall transport properties and the corresponding scaling exponents. If only one of the walls is rough, we reveal that the bulk velocity is slaved to the rough side, due to the much stronger coupling to that wall by the detaching flow structures. If both walls are rough, the viscosity dependence is thoroughly eliminated in the boundary layers and we thus achieve asymptotic ultimate turbulence, i.e. the upper limit of transport, whose existence had been predicted by Robert Kraichnan in 1962 (Phys. Fluids {\bf 5}, 1374 (1962)) and in which the scalings laws can be extrapolated to arbitrarily large Reynolds numbers.
physics.flu-dyn
turbulence is omnipresent in nature and technology governing the transport of heat mass and momentum on multiple scales for realworld applications of wallbounded turbulence the underlying surfaces are virtually always rough yet characterizing and understanding the effects of wall roughness for turbulence remains a challenge especially for rotating and thermally driven turbulence by combining extensive experiments and numerical simulations here taking as example the paradigmatic taylorcouette system the closed flow between two independently rotating coaxial cylinders we show how wall roughness greatly enhances the overall transport properties and the corresponding scaling exponents if only one of the walls is rough we reveal that the bulk velocity is slaved to the rough side due to the much stronger coupling to that wall by the detaching flow structures if both walls are rough the viscosity dependence is thoroughly eliminated in the boundary layers and we thus achieve asymptotic ultimate turbulence ie the upper limit of transport whose existence had been predicted by robert kraichnan in 1962 phys fluids bf 5 1374 1962 and in which the scalings laws can be extrapolated to arbitrarily large reynolds numbers
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1,802.04357
On exact Pleijel's constant for some domains
We provide an explicit expression for the Pleijel constant for the planar disk and some of its sectors, as well as for $N$-dimensional rectangles. In particular, the Pleijel constant for the disk is equal to 0.4613019... Also, we characterize the Pleijel constant for some rings and annular sectors in terms of asymptotic behavior of zeros of certain cross-products of Bessel functions.
math.AP math.SP
we provide an explicit expression for the pleijel constant for the planar disk and some of its sectors as well as for ndimensional rectangles in particular the pleijel constant for the disk is equal to 04613019 also we characterize the pleijel constant for some rings and annular sectors in terms of asymptotic behavior of zeros of certain crossproducts of bessel functions
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1,802.04358
A Unified Implicit Dialog Framework for Conversational Search
We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the components required for dialog interaction, which we refer as Implicit Dialog in this work. The proposed framework consists of a pipeline of End-to-End trainable modules. A centralized knowledge representation is used to semantically ground multiple dialog modules. An associated set of tools are integrated with the framework to gather end users' input for continuous improvement of the system. The goal is to facilitate development of conversational systems by identifying the components and the data that can be adapted and reused across many end-user applications. We demonstrate our approach by creating conversational agents for several independent domains.
cs.CL
we propose a unified implicit dialog framework for goaloriented information seeking tasks of conversational search applications it aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but utilizing the underlying data representation to build the components required for dialog interaction which we refer as implicit dialog in this work the proposed framework consists of a pipeline of endtoend trainable modules a centralized knowledge representation is used to semantically ground multiple dialog modules an associated set of tools are integrated with the framework to gather end users input for continuous improvement of the system the goal is to facilitate development of conversational systems by identifying the components and the data that can be adapted and reused across many enduser applications we demonstrate our approach by creating conversational agents for several independent domains
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1,802.04359
HI Kinematics Along The Minor Axis of M82
M82 is one of the best studied starburst galaxies in the local universe, and is consequently a benchmark for studying star formation feedback at both low and high redshift. We present new VLA HI observations that reveal the cold gas kinematics along the minor axis in unprecedented detail. This includes the detection of HI up to 10 kpc along the minor axis toward the South and beyond 5 kpc to the North. A surprising aspect of these observations is that the line-of-sight HI velocity decreases substantially from about 120 km/s to 50 km/s from 1.5 to 10 kpc off the midplane. The velocity profile is not consistent with the HI gas cooling from the hot wind. We demonstrate that the velocity decrease is substantially greater than the deceleration expected from gravitational forces alone. If the HI consists of a continuous population of cold clouds, some additional drag force must be present, and the magnitude of the drag force places a joint constraint on the ratio of the ambient medium to the typical cloud size and density. We also show that the HI kinematics are inconsistent with a simple conical outflow centered on the nucleus, but instead require the more widespread launch of the HI over the ~1 kpc extent of the starburst region. Regardless of the launch mechanism for the HI gas, the observed velocity decrease along the minor axis is sufficiently great that the HI may not escape the halo of M82. We estimate the HI outflow rate is much less than 1 M$_{\odot}$ per year at 10 kpc off the midplane.
astro-ph.GA
m82 is one of the best studied starburst galaxies in the local universe and is consequently a benchmark for studying star formation feedback at both low and high redshift we present new vla hi observations that reveal the cold gas kinematics along the minor axis in unprecedented detail this includes the detection of hi up to 10 kpc along the minor axis toward the south and beyond 5 kpc to the north a surprising aspect of these observations is that the lineofsight hi velocity decreases substantially from about 120 kms to 50 kms from 15 to 10 kpc off the midplane the velocity profile is not consistent with the hi gas cooling from the hot wind we demonstrate that the velocity decrease is substantially greater than the deceleration expected from gravitational forces alone if the hi consists of a continuous population of cold clouds some additional drag force must be present and the magnitude of the drag force places a joint constraint on the ratio of the ambient medium to the typical cloud size and density we also show that the hi kinematics are inconsistent with a simple conical outflow centered on the nucleus but instead require the more widespread launch of the hi over the 1 kpc extent of the starburst region regardless of the launch mechanism for the hi gas the observed velocity decrease along the minor axis is sufficiently great that the hi may not escape the halo of m82 we estimate the hi outflow rate is much less than 1 m_odot per year at 10 kpc off the midplane
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