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1,802.0076
Image Quality in High-resolution and High-cadence Solar Imaging
Broad-band imaging and even imaging with a moderate bandpass (about 1 nm) provides a "photon-rich" environment, where frame selection ("lucky imaging") becomes a helpful tool in image restoration allowing us to perform a cost-benefit analysis on how to design observing sequences for high-spatial resolution imaging in combination with real-time correction provided by an adaptive optics (AO) system. This study presents high-cadence (160 Hz) G-band and blue continuum image sequences obtained with the High-resolution Fast Imager (HiFI) at the 1.5-meter GREGOR solar telescope, where the speckle masking technique is used to restore images with nearly diffraction-limited resolution. HiFI employs two synchronized large-format and high-cadence sCMOS detectors. The Median Filter Gradient Similarity (MFGS) image quality metric is applied, among others, to AO-corrected image sequences of a pore and a small sunspot observed on 2017 June 4 and 5. A small region-of-interest, which was selected for fast imaging performance, covered these contrast-rich features and their neighborhood, which were part of active region NOAA 12661. Modifications of the MFGS algorithm uncover the field- and structure-dependency of this image quality metric. However, MFGS still remains a good choice for determining image quality without a priori knowledge, which is an important characteristic when classifying the huge number of high-resolution images contained in data archives. In addition, this investigation demonstrates that a fast cadence and millisecond exposure times are still insufficient to reach the coherence time of daytime seeing. Nonetheless, the analysis shows that data acquisition rates exceeding 50 Hz are required to capture a substantial fraction of the best seeing moments, significantly boosting the performance of post-facto image restoration.
astro-ph.SR
broadband imaging and even imaging with a moderate bandpass about 1 nm provides a photonrich environment where frame selection lucky imaging becomes a helpful tool in image restoration allowing us to perform a costbenefit analysis on how to design observing sequences for highspatial resolution imaging in combination with realtime correction provided by an adaptive optics ao system this study presents highcadence 160 hz gband and blue continuum image sequences obtained with the highresolution fast imager hifi at the 15meter gregor solar telescope where the speckle masking technique is used to restore images with nearly diffractionlimited resolution hifi employs two synchronized largeformat and highcadence scmos detectors the median filter gradient similarity mfgs image quality metric is applied among others to aocorrected image sequences of a pore and a small sunspot observed on 2017 june 4 and 5 a small regionofinterest which was selected for fast imaging performance covered these contrastrich features and their neighborhood which were part of active region noaa 12661 modifications of the mfgs algorithm uncover the field and structuredependency of this image quality metric however mfgs still remains a good choice for determining image quality without a priori knowledge which is an important characteristic when classifying the huge number of highresolution images contained in data archives in addition this investigation demonstrates that a fast cadence and millisecond exposure times are still insufficient to reach the coherence time of daytime seeing nonetheless the analysis shows that data acquisition rates exceeding 50 hz are required to capture a substantial fraction of the best seeing moments significantly boosting the performance of postfacto image restoration
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1,802.00761
Learning Attribute Representation for Human Activity Recognition
Attribute representations became relevant in image recognition and word spotting, providing support under the presence of unbalance and disjoint datasets. However, for human activity recognition using sequential data from on-body sensors, human-labeled attributes are lacking. This paper introduces a search for attributes that represent favorably signal segments for recognizing human activities. It presents three deep architectures, including temporal-convolutions and an IMU centered design, for predicting attributes. An empiric evaluation of random and learned attribute representations, and as well as the networks is carried out on two datasets, outperforming the state-of-the art.
cs.CV
attribute representations became relevant in image recognition and word spotting providing support under the presence of unbalance and disjoint datasets however for human activity recognition using sequential data from onbody sensors humanlabeled attributes are lacking this paper introduces a search for attributes that represent favorably signal segments for recognizing human activities it presents three deep architectures including temporalconvolutions and an imu centered design for predicting attributes an empiric evaluation of random and learned attribute representations and as well as the networks is carried out on two datasets outperforming the stateofthe art
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1,802.00762
Refining the Central Limit Theorem Approximation via Extreme Value Theory
We suggest approximating the distribution of the sum of independent and identically distributed random variables with a Pareto-like tail by combining extreme value approximations for the largest summands with a normal approximation for the sum of the smaller summands. If the tail is well approximated by a Pareto density, then this new approximation has substantially smaller error rates compared to the usual normal approximation for underlying distributions with finite variance and less than three moments. It can also provide an accurate approximation for some infinite variance distributions.
math.PR
we suggest approximating the distribution of the sum of independent and identically distributed random variables with a paretolike tail by combining extreme value approximations for the largest summands with a normal approximation for the sum of the smaller summands if the tail is well approximated by a pareto density then this new approximation has substantially smaller error rates compared to the usual normal approximation for underlying distributions with finite variance and less than three moments it can also provide an accurate approximation for some infinite variance distributions
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1,802.00763
Photon or meson formation in $J/\psi$ decays into $p {\overline{p}}$
The measurements of the $J/\psi \rightarrow \gamma p \overline{p}$ decays by the BES Collaboration indicate an enhancement at the $p \overline{p}$ threshold which, however, is not present in the J/$\psi$ decays into $\omega p \overline{p}$ and into $\pi p \overline{p}$. Here, two processes for describing the decays $J/\psi \rightarrow \mathcal{B} p \overline{p}$ where $\mathcal{B} = \gamma, \omega$ are presented in some detail and the cases $\mathcal{B} =\phi, \pi $ are briefly touched on. The first one, applied not only to the radiative decay to reproduce the threshold peak but also to the $\omega p \overline{p}$ decay channel to improve the description of the spectrum, postulates a direct emission of the boson before the baryon pair is formed. The second process assumes that the boson $\mathcal{B}$ is emitted from the baryon pair following the $J/\psi$ decay and includes for the decays into $\gamma p \overline{p}$ a final state nucleon-antinucleon interaction based on the Paris $N \overline{N}$ potential. The reproduction of the $p \overline{p}$ distribution in the $J/\psi \rightarrow \omega p \overline{p}$ decays needs a final state interaction involving a $N(2050)\ 3/2^-$ resonance. The photon- and meson-emission rates are reproduced in a semi-quantitative way.
hep-ph hep-ex nucl-th
the measurements of the jpsi rightarrow gamma p overlinep decays by the bes collaboration indicate an enhancement at the p overlinep threshold which however is not present in the jpsi decays into omega p overlinep and into pi p overlinep here two processes for describing the decays jpsi rightarrow mathcalb p overlinep where mathcalb gamma omega are presented in some detail and the cases mathcalb phi pi are briefly touched on the first one applied not only to the radiative decay to reproduce the threshold peak but also to the omega p overlinep decay channel to improve the description of the spectrum postulates a direct emission of the boson before the baryon pair is formed the second process assumes that the boson mathcalb is emitted from the baryon pair following the jpsi decay and includes for the decays into gamma p overlinep a final state nucleonantinucleon interaction based on the paris n overlinen potential the reproduction of the p overlinep distribution in the jpsi rightarrow omega p overlinep decays needs a final state interaction involving a n2050 32 resonance the photon and mesonemission rates are reproduced in a semiquantitative way
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1,802.00764
Electrofluorochromism at the single molecule level
The interplay between the oxidation state and the optical properties of molecules plays a key role for applications in displays, sensors or molecular-based memories. The fundamental mechanisms occurring at the level of a single-molecule have been difficult to probe. We used a scanning tunneling microscope (STM) to characterize and control the fluorescence of a single Zn-phthalocyanine radical cation adsorbed on a NaCl-covered Au(111) sample. The neutral and oxidized states of the molecule were identified on the basis of their fluorescence spectra that revealed very different emission energies and vibronic fingerprints. The emission of the charged molecule was controlled by tuning the thickness of the insulator and the plasmons localized at the apex of the STM tip. In addition, sub-nanometric variations of the tip position were used to investigate the charging and electroluminescence mechanisms.
cond-mat.mes-hall physics.chem-ph
the interplay between the oxidation state and the optical properties of molecules plays a key role for applications in displays sensors or molecularbased memories the fundamental mechanisms occurring at the level of a singlemolecule have been difficult to probe we used a scanning tunneling microscope stm to characterize and control the fluorescence of a single znphthalocyanine radical cation adsorbed on a naclcovered au111 sample the neutral and oxidized states of the molecule were identified on the basis of their fluorescence spectra that revealed very different emission energies and vibronic fingerprints the emission of the charged molecule was controlled by tuning the thickness of the insulator and the plasmons localized at the apex of the stm tip in addition subnanometric variations of the tip position were used to investigate the charging and electroluminescence mechanisms
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1,802.00765
Prompt and non-prompt J/$\psi$ production and nuclear modification at mid-rapidity in p-Pb collisions at ${\bf \sqrt{{\it s}_{\text{NN}}}= 5.02}$ TeV
A measurement of beauty hadron production at mid-rapidity in proton-lead collisions at a nucleon-nucleon centre-of-mass energy $\sqrt{s_{\rm NN}}=5.02$ TeV is presented. The semi-inclusive decay channel of beauty hadrons into J/$\psi$ is considered, where the J/$\psi$ mesons are reconstructed in the dielectron decay channel at mid-rapidity down to transverse momenta of 1.3 GeV/$c$. The ${\rm {b\overline{b}}}$ production cross section at mid-rapidity, ${\rm d}\sigma_{\rm {b\overline{b}}}/{\rm d} y$, and the total cross section extrapolated over full phase space, $\sigma_{\rm {b\overline{b}}}$, are obtained. This measurement is combined with results on inclusive J/$\psi$ production to determine the prompt J/$\psi$ cross sections. The results in p-Pb collisions are then scaled to expectations from pp collisions at the same centre-of-mass energy to derive the nuclear modification factor $R_{\rm pPb}$, and compared to models to study possible nuclear modifications of the production induced by cold nuclear matter effects. $R_{\rm pPb}$ is found to be smaller than unity at low $p_{\rm T}$ for both J/$\psi$ coming from beauty hadron decays and prompt J/$\psi$.
nucl-ex hep-ex
a measurement of beauty hadron production at midrapidity in protonlead collisions at a nucleonnucleon centreofmass energy sqrts_rm nn502 tev is presented the semiinclusive decay channel of beauty hadrons into jpsi is considered where the jpsi mesons are reconstructed in the dielectron decay channel at midrapidity down to transverse momenta of 13 gevc the rm boverlineb production cross section at midrapidity rm dsigma_rm boverlinebrm d y and the total cross section extrapolated over full phase space sigma_rm boverlineb are obtained this measurement is combined with results on inclusive jpsi production to determine the prompt jpsi cross sections the results in ppb collisions are then scaled to expectations from pp collisions at the same centreofmass energy to derive the nuclear modification factor r_rm ppb and compared to models to study possible nuclear modifications of the production induced by cold nuclear matter effects r_rm ppb is found to be smaller than unity at low p_rm t for both jpsi coming from beauty hadron decays and prompt jpsi
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1,802.00766
Discovery of WASP-174b: Doppler tomography of a near-grazing transit
We report the discovery and tomographic detection of WASP-174b, a planet with a near-grazing transit on a 4.23-d orbit around a $V$ = 11.9, F6V star with [Fe/H] = 0.09 $\pm$ 0.09. The planet is in a moderately misaligned orbit with a sky-projected spin-orbit angle of $\lambda$ = 31$^{\circ}$ $\pm$ 1$^{\circ}$. This is in agreement with the known tendency for orbits around hotter stars to be misaligned. Owing to the grazing transit the planet's radius is uncertain, with a possible range of 0.8-1.8 R$_{\rm Jup}$. The planet's mass has an upper limit of 1.3 M$_{\rm Jup}$. WASP-174 is the faintest hot-Jupiter system so far confirmed by tomographic means.
astro-ph.EP
we report the discovery and tomographic detection of wasp174b a planet with a neargrazing transit on a 423d orbit around a v 119 f6v star with feh 009 pm 009 the planet is in a moderately misaligned orbit with a skyprojected spinorbit angle of lambda 31circ pm 1circ this is in agreement with the known tendency for orbits around hotter stars to be misaligned owing to the grazing transit the planets radius is uncertain with a possible range of 0818 r_rm jup the planets mass has an upper limit of 13 m_rm jup wasp174 is the faintest hotjupiter system so far confirmed by tomographic means
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1,802.00767
On optimal decay estimates for ODEs and PDEs with modal decomposition
We consider the Goldstein-Taylor model, which is a 2-velocity BGK model, and construct the "optimal" Lyapunov functional to quantify the convergence to the unique normalized steady state. The Lyapunov functional is optimal in the sense that it yields decay estimates in $L^2$-norm with the sharp exponential decay rate and minimal multiplicative constant. The modal decomposition of the Goldstein-Taylor model leads to the study of a family of 2-dimensional ODE systems. Therefore we discuss the characterization of "optimal" Lyapunov functionals for linear ODE systems with positive stable diagonalizable matrices. We give a complete answer for optimal decay rates of 2-dimensional ODE systems, and a partial answer for higher dimensional ODE systems.
math.AP
we consider the goldsteintaylor model which is a 2velocity bgk model and construct the optimal lyapunov functional to quantify the convergence to the unique normalized steady state the lyapunov functional is optimal in the sense that it yields decay estimates in l2norm with the sharp exponential decay rate and minimal multiplicative constant the modal decomposition of the goldsteintaylor model leads to the study of a family of 2dimensional ode systems therefore we discuss the characterization of optimal lyapunov functionals for linear ode systems with positive stable diagonalizable matrices we give a complete answer for optimal decay rates of 2dimensional ode systems and a partial answer for higher dimensional ode systems
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1,802.00768
Order matters: Distributional properties of speech to young children bootstraps learning of semantic representations
Some researchers claim that language acquisition is critically dependent on experiencing linguistic input in order of increasing complexity. We set out to test this hypothesis using a simple recurrent neural network (SRN) trained to predict word sequences in CHILDES, a 5-million-word corpus of speech directed to children. First, we demonstrated that age-ordered CHILDES exhibits a gradual increase in linguistic complexity. Next, we compared the performance of two groups of SRNs trained on CHILDES which had either been age-ordered or not. Specifically, we assessed learning of grammatical and semantic structure and showed that training on age-ordered input facilitates learning of semantic, but not of sequential structure. We found that this advantage is eliminated when the models were trained on input with utterance boundary information removed.
cs.CL
some researchers claim that language acquisition is critically dependent on experiencing linguistic input in order of increasing complexity we set out to test this hypothesis using a simple recurrent neural network srn trained to predict word sequences in childes a 5millionword corpus of speech directed to children first we demonstrated that ageordered childes exhibits a gradual increase in linguistic complexity next we compared the performance of two groups of srns trained on childes which had either been ageordered or not specifically we assessed learning of grammatical and semantic structure and showed that training on ageordered input facilitates learning of semantic but not of sequential structure we found that this advantage is eliminated when the models were trained on input with utterance boundary information removed
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1,802.00769
Twisted Weak Orders of Coxeter Groups
In this paper, we initiate the study of the twisted weak order associated to a twisted Bruhat order for a Coxeter group and explore the relationship between the lattice property of such order and the infinite reduced words. We show that for a 2 closure biclosed set $B$ in $\Phi^+$, the $B$-twisted weak order is a non-complete meet semilattice if $B$ is the inversion set of an infinite reduced word and that the converse also holds in the case of affine Weyl groups.
math.RT
in this paper we initiate the study of the twisted weak order associated to a twisted bruhat order for a coxeter group and explore the relationship between the lattice property of such order and the infinite reduced words we show that for a 2 closure biclosed set b in phi the btwisted weak order is a noncomplete meet semilattice if b is the inversion set of an infinite reduced word and that the converse also holds in the case of affine weyl groups
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1,802.0077
New example of modified moduli space of special Bohr - Sommerfeld lagrangian submanifolds
We present an example of modified moduli space of special Bohr - Sommerfeld lagrangian submanifolds for the case when the given algebraic variety is the full flag $F^3$ for $\mathbb{C}^3$ and the very ample bundle is $K^{- \frac{1}{2}}_{F^3}$
math.AG math.SG
we present an example of modified moduli space of special bohr sommerfeld lagrangian submanifolds for the case when the given algebraic variety is the full flag f3 for mathbbc3 and the very ample bundle is k frac12_f3
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1,802.00771
No Modes left behind: Capturing the data distribution effectively using GANs
Generative adversarial networks (GANs) while being very versatile in realistic image synthesis, still are sensitive to the input distribution. Given a set of data that has an imbalance in the distribution, the networks are susceptible to missing modes and not capturing the data distribution. While various methods have been tried to improve training of GANs, these have not addressed the challenges of covering the full data distribution. Specifically, a generator is not penalized for missing a mode. We show that these are therefore still susceptible to not capturing the full data distribution. In this paper, we propose a simple approach that combines an encoder based objective with novel loss functions for generator and discriminator that improves the solution in terms of capturing missing modes. We validate that the proposed method results in substantial improvements through its detailed analysis on toy and real datasets. The quantitative and qualitative results demonstrate that the proposed method improves the solution for the problem of missing modes and improves training of GANs.
cs.CV
generative adversarial networks gans while being very versatile in realistic image synthesis still are sensitive to the input distribution given a set of data that has an imbalance in the distribution the networks are susceptible to missing modes and not capturing the data distribution while various methods have been tried to improve training of gans these have not addressed the challenges of covering the full data distribution specifically a generator is not penalized for missing a mode we show that these are therefore still susceptible to not capturing the full data distribution in this paper we propose a simple approach that combines an encoder based objective with novel loss functions for generator and discriminator that improves the solution in terms of capturing missing modes we validate that the proposed method results in substantial improvements through its detailed analysis on toy and real datasets the quantitative and qualitative results demonstrate that the proposed method improves the solution for the problem of missing modes and improves training of gans
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1,802.00772
Formation of porous crystals via viscoelastic phase separation
Viscoelastic phase separation of colloidal suspensions can be interrupted to form gels either by glass transition or by crystallization. With a new confocal microscopy protocol, we follow the entire kinetics of phase separation, from homogeneous phase to different arrested states. For the first time in experiments, our results unveil a novel crystallization pathway to sponge-like porous crystal structures. In the early stages, we show that nucleation requires a structural reorganization of the liquid phase, called stress-driven ageing. Once nucleation starts, we observe that crystallization follows three different routes: direct crystallization of the liquid phase, Bergeron process, and Ostwald ripening. Nucleation starts inside the reorganised network, but crystals grow past it by direct condensation of the gas phase on their surface, driving liquid evaporation, and producing a network structure different from the original phase separation pattern. We argue that similar crystal-gel states can be formed in monoatomic and molecular systems if the liquid phase is slow enough to induce viscoelastic phase separation, but fast enough to prevent immediate vitrification. This provides a novel pathway to form nano-porous crystals of metals and semiconductors without dealloying, which may be important for catalytic, optical, sensing, and filtration applications.
cond-mat.soft cond-mat.mtrl-sci cond-mat.stat-mech
viscoelastic phase separation of colloidal suspensions can be interrupted to form gels either by glass transition or by crystallization with a new confocal microscopy protocol we follow the entire kinetics of phase separation from homogeneous phase to different arrested states for the first time in experiments our results unveil a novel crystallization pathway to spongelike porous crystal structures in the early stages we show that nucleation requires a structural reorganization of the liquid phase called stressdriven ageing once nucleation starts we observe that crystallization follows three different routes direct crystallization of the liquid phase bergeron process and ostwald ripening nucleation starts inside the reorganised network but crystals grow past it by direct condensation of the gas phase on their surface driving liquid evaporation and producing a network structure different from the original phase separation pattern we argue that similar crystalgel states can be formed in monoatomic and molecular systems if the liquid phase is slow enough to induce viscoelastic phase separation but fast enough to prevent immediate vitrification this provides a novel pathway to form nanoporous crystals of metals and semiconductors without dealloying which may be important for catalytic optical sensing and filtration applications
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1,802.00773
Nature of the chiral phase transition of two flavour QCD from imaginary chemical potential with HISQ fermions
The nature of the thermal phase transition of two flavor QCD in the chiral limit has an important implication for the QCD phase diagram. We carry out lattice QCD simulations in an attempt to address this problem. Simulations are conducted with a Symanzik-improved gauge action and the HISQ fermion action. Within the imaginary chemical potential formulation, five different quark masses, $am=0.020,\, 0.018, \, 0.015, \, 0.013,\, 0.010$, and four different lattice volumes $N_s=8, \, 12,\, 16, \, 20$ with temporal extent $N_t=4$ are used to explore the scaling behavior. At each of the quark masses, the Binder cumulants of the chiral condensate on different lattice volumes approximately intersect at one point. We find that at the intersection point, the Binder cumulant $B_4(am,a\mu_c) $ is around $3$ which deviates from the $Z(2)$ universality class value 1.604. However, based on the expectations of $Z(2)$ criticality, the fitting result only with the data from the largest lattice volume $N_s=20$ agrees well with earlier result [ Phys. Rev., D90, 074030(2014) ]\cite{Bonati:2014kpa}. This fact implies that, although the finite cut-off effects could be reduced with HISQ fermions even on $N_t=4$ lattices, larger lattices with spatial extent $N_s>=20$ for such studies are needed to control finite volume effects.
hep-lat
the nature of the thermal phase transition of two flavor qcd in the chiral limit has an important implication for the qcd phase diagram we carry out lattice qcd simulations in an attempt to address this problem simulations are conducted with a symanzikimproved gauge action and the hisq fermion action within the imaginary chemical potential formulation five different quark masses am0020 0018 0015 0013 0010 and four different lattice volumes n_s8 12 16 20 with temporal extent n_t4 are used to explore the scaling behavior at each of the quark masses the binder cumulants of the chiral condensate on different lattice volumes approximately intersect at one point we find that at the intersection point the binder cumulant b_4amamu_c is around 3 which deviates from the z2 universality class value 1604 however based on the expectations of z2 criticality the fitting result only with the data from the largest lattice volume n_s20 agrees well with earlier result phys rev d90 0740302014 citebonati2014kpa this fact implies that although the finite cutoff effects could be reduced with hisq fermions even on n_t4 lattices larger lattices with spatial extent n_s20 for such studies are needed to control finite volume effects
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1,802.00774
Singularities in Einstein-conformally coupled Higgs cosmological models
The dynamics of Einstein-conformally coupled Higgs field (EccH) system is investigated near the initial singularities in the presence of Friedman-Robertson--Walker symmetries. We solve the field equations asymptotically up to fourth order near the singularities analytically, and determine the solutions numerically as well. We found all the asymptotic, power series singular solutions, which are (1) solutions with a scalar polynomial curvature singularity but the Higgs field is bounded (`Small Bang'), or (2) solutions with a Milne type singularity with bounded spacetime curvature and Higgs field, or (3) solutions with a scalar polynomial curvature singularity and diverging Higgs field (`Big Bang'). Thus, in the present EccH model there is a new kind of physical spacetime singularity (`Small Bang'). We also show that, in a neighbourhood of the singularity in these solutions, the Higgs sector does not have any symmetry breaking instantaneous vacuum state, and hence then the Brout-Englert-Higgs mechanism does not work. The large scale behaviour of the solutions is investigated numerically as well. In particular, the numerical calculations indicate that there are singular solutions that cannot be approximated by power series.
gr-qc
the dynamics of einsteinconformally coupled higgs field ecch system is investigated near the initial singularities in the presence of friedmanrobertsonwalker symmetries we solve the field equations asymptotically up to fourth order near the singularities analytically and determine the solutions numerically as well we found all the asymptotic power series singular solutions which are 1 solutions with a scalar polynomial curvature singularity but the higgs field is bounded small bang or 2 solutions with a milne type singularity with bounded spacetime curvature and higgs field or 3 solutions with a scalar polynomial curvature singularity and diverging higgs field big bang thus in the present ecch model there is a new kind of physical spacetime singularity small bang we also show that in a neighbourhood of the singularity in these solutions the higgs sector does not have any symmetry breaking instantaneous vacuum state and hence then the broutenglerthiggs mechanism does not work the large scale behaviour of the solutions is investigated numerically as well in particular the numerical calculations indicate that there are singular solutions that cannot be approximated by power series
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1,802.00775
Data-Driven, Physics-Based Feature Extraction from Fluid Flow Fields
Feature identification is an important task in many fluid dynamics applications and diverse methods have been developed for this purpose. These methods are based on a physical understanding of the underlying behavior of the flow in the vicinity of the feature. Particularly, they rely on definition of suitable criteria (i.e. point-based or neighborhood-based derived properties) and proper selection of thresholds. For instance, among other techniques, vortex identification can be done through computing the Q-criterion or by considering the center of looping streamlines. However, these methods rely on creative visualization of physical idiosyncrasies of specific features and flow regimes, making them non-universal and requiring significant effort to develop. Here we present a physics-based, data-driven method capable of identifying any flow feature it is trained to. We use convolutional neural networks, a machine learning approach developed for image recognition, and adapt it to the problem of identifying flow features. The method was tested using mean flow fields from numerical simulations, where the recirculation region and boundary layer were identified in a two-dimensional flow through a convergent-divergent channel, and the horseshoe vortex was identified in three-dimensional flow over a wing-body junction. The novelty of the method is its ability to identify any type of feature, even distinguish between similar ones, without the need to explicitly define the physics (i.e. through development of suitable criterion and tunning of threshold). This provides a general method and removes the large burden placed on identifying new features. We expect this method can supplement existing techniques and allow for more automatic and discerning feature detection. The method can be easily extended to time-dependent flows, where it could be particularly impactful.
physics.flu-dyn
feature identification is an important task in many fluid dynamics applications and diverse methods have been developed for this purpose these methods are based on a physical understanding of the underlying behavior of the flow in the vicinity of the feature particularly they rely on definition of suitable criteria ie pointbased or neighborhoodbased derived properties and proper selection of thresholds for instance among other techniques vortex identification can be done through computing the qcriterion or by considering the center of looping streamlines however these methods rely on creative visualization of physical idiosyncrasies of specific features and flow regimes making them nonuniversal and requiring significant effort to develop here we present a physicsbased datadriven method capable of identifying any flow feature it is trained to we use convolutional neural networks a machine learning approach developed for image recognition and adapt it to the problem of identifying flow features the method was tested using mean flow fields from numerical simulations where the recirculation region and boundary layer were identified in a twodimensional flow through a convergentdivergent channel and the horseshoe vortex was identified in threedimensional flow over a wingbody junction the novelty of the method is its ability to identify any type of feature even distinguish between similar ones without the need to explicitly define the physics ie through development of suitable criterion and tunning of threshold this provides a general method and removes the large burden placed on identifying new features we expect this method can supplement existing techniques and allow for more automatic and discerning feature detection the method can be easily extended to timedependent flows where it could be particularly impactful
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1,802.00776
Green Stability Assumption: Unsupervised Learning for Statistics-Based Illumination Estimation
In the image processing pipeline of almost every digital camera there is a part dedicated to computational color constancy i.e. to removing the influence of illumination on the colors of the image scene. Some of the best known illumination estimation methods are the so called statistics-based methods. They are less accurate than the learning-based illumination estimation methods, but they are faster and simpler to implement in embedded systems, which is one of the reasons for their widespread usage. Although in the relevant literature it often appears as if they require no training, this is not true because they have parameter values that need to be fine-tuned in order to be more accurate. In this paper it is first shown that the accuracy of statistics-based methods reported in most papers was not obtained by means of the necessary cross-validation, but by using the whole benchmark datasets for both training and testing. After that the corrected results are given for the best known benchmark datasets. Finally, the so called green stability assumption is proposed that can be used to fine-tune the values of the parameters of the statistics-based methods by using only non-calibrated images without known ground-truth illumination. The obtained accuracy is practically the same as when using calibrated training images, but the whole process is much faster. The experimental results are presented and discussed. The source code is available at http://www.fer.unizg.hr/ipg/resources/color_constancy/.
cs.CV
in the image processing pipeline of almost every digital camera there is a part dedicated to computational color constancy ie to removing the influence of illumination on the colors of the image scene some of the best known illumination estimation methods are the so called statisticsbased methods they are less accurate than the learningbased illumination estimation methods but they are faster and simpler to implement in embedded systems which is one of the reasons for their widespread usage although in the relevant literature it often appears as if they require no training this is not true because they have parameter values that need to be finetuned in order to be more accurate in this paper it is first shown that the accuracy of statisticsbased methods reported in most papers was not obtained by means of the necessary crossvalidation but by using the whole benchmark datasets for both training and testing after that the corrected results are given for the best known benchmark datasets finally the so called green stability assumption is proposed that can be used to finetune the values of the parameters of the statisticsbased methods by using only noncalibrated images without known groundtruth illumination the obtained accuracy is practically the same as when using calibrated training images but the whole process is much faster the experimental results are presented and discussed the source code is available at httpwwwferunizghripgresourcescolor_constancy
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1,802.00777
Compendium of Front-End Electronics
Our world is changing fast. On one hand, technological developments provide us with new and powerful electronics devices on almost a weekly basis. On the other hand, the end-user of these electronics is now rarely required to actually configure the devices, as everything is automated. This "de-empowerment" of the end-user may be detrimental to the scientific community. This is because the unique conditions in which a scientific measurement is performed require the end-user to have unrestricted access to every variable of the experimental setup. In this compendium, a general overview of some popular electronic modules is presented, and the different characteristics the end- user should take into consideration when buying/designing electronics systems for a new experimental application are discussed.
physics.ins-det
our world is changing fast on one hand technological developments provide us with new and powerful electronics devices on almost a weekly basis on the other hand the enduser of these electronics is now rarely required to actually configure the devices as everything is automated this deempowerment of the enduser may be detrimental to the scientific community this is because the unique conditions in which a scientific measurement is performed require the enduser to have unrestricted access to every variable of the experimental setup in this compendium a general overview of some popular electronic modules is presented and the different characteristics the end user should take into consideration when buyingdesigning electronics systems for a new experimental application are discussed
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1,802.00778
Where the Solar system meets the solar neighbourhood: patterns in the distribution of radiants of observed hyperbolic minor bodies
Observed hyperbolic minor bodies might have an interstellar origin, but they can be natives of the Solar system as well. Fly-bys with the known planets or the Sun may result in the hyperbolic ejection of an originally bound minor body; in addition, members of the Oort cloud could be forced to follow inbound hyperbolic paths as a result of secular perturbations induced by the Galactic disc or, less frequently, due to impulsive interactions with passing stars. These four processes must leave distinctive signatures in the distribution of radiants of observed hyperbolic objects, both in terms of coordinates and velocity. Here, we perform a systematic numerical exploration of the past orbital evolution of known hyperbolic minor bodies using a full N-body approach and statistical analyses to study their radiants. Our results confirm the theoretical expectations that strong anisotropies are present in the data. We also identify a statistically significant overdensity of high-speed radiants towards the constellation of Gemini that could be due to the closest and most recent known fly-by of a star to the Solar system, that of the so-called Scholz's star. In addition to and besides 1I/2017 U1 (`Oumuamua), we single out eight candidate interstellar comets based on their radiants' velocities.
astro-ph.EP
observed hyperbolic minor bodies might have an interstellar origin but they can be natives of the solar system as well flybys with the known planets or the sun may result in the hyperbolic ejection of an originally bound minor body in addition members of the oort cloud could be forced to follow inbound hyperbolic paths as a result of secular perturbations induced by the galactic disc or less frequently due to impulsive interactions with passing stars these four processes must leave distinctive signatures in the distribution of radiants of observed hyperbolic objects both in terms of coordinates and velocity here we perform a systematic numerical exploration of the past orbital evolution of known hyperbolic minor bodies using a full nbody approach and statistical analyses to study their radiants our results confirm the theoretical expectations that strong anisotropies are present in the data we also identify a statistically significant overdensity of highspeed radiants towards the constellation of gemini that could be due to the closest and most recent known flyby of a star to the solar system that of the socalled scholzs star in addition to and besides 1i2017 u1 oumuamua we single out eight candidate interstellar comets based on their radiants velocities
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1,802.00779
Takagi lectures on Donaldson-Thomas theory
These are the notes for my 2017 Takagi lectures on DT counts of curves in algebraic threefolds. We discuss the fundamentals of the subject, its origins, open questions, and certain recent advances.
math.AG math-ph math.MP
these are the notes for my 2017 takagi lectures on dt counts of curves in algebraic threefolds we discuss the fundamentals of the subject its origins open questions and certain recent advances
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1,802.0078
Counting integer points on quadrics with arithmetic weights
Let $F \in \mathbf{Z}[\boldsymbol{x}]$ be a diagonal, non-singular quadratic form in $4$ variables. Let $\lambda(n)$ be the normalised Fourier coefficients of a holomorphic Hecke form of full level. We give an upper bound for the problem of counting integer zeros of $F$ with $|\boldsymbol{x}| \leq X$, weighted by $\lambda(x_1)$.
math.NT
let f in mathbfzboldsymbolx be a diagonal nonsingular quadratic form in 4 variables let lambdan be the normalised fourier coefficients of a holomorphic hecke form of full level we give an upper bound for the problem of counting integer zeros of f with boldsymbolx leq x weighted by lambdax_1
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1,802.00781
Universal reflective-hierarchical structure of quasiperiodic eigenfunctions and sharp spectral transition in phase
We prove sharp spectral transition in the arithmetics of phase between localization and singular continuous spectrum for Diophantine almost Mathieu operators. We also determine exact exponential asymptotics of eigenfunctions and of corresponding transfer matrices throughout the localization region. This uncovers a universal structure in their behavior governed by the exponential phase resonances. The structure features a new type of hierarchy, where self-similarity holds upon alternating reflections.
math-ph math.MP
we prove sharp spectral transition in the arithmetics of phase between localization and singular continuous spectrum for diophantine almost mathieu operators we also determine exact exponential asymptotics of eigenfunctions and of corresponding transfer matrices throughout the localization region this uncovers a universal structure in their behavior governed by the exponential phase resonances the structure features a new type of hierarchy where selfsimilarity holds upon alternating reflections
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1,802.00782
Detailed Opacity Calculations for Stellar Models
Radiative opacity is an important quantity in the modeling of stellar structure and evolution. In the present work we recall the role of opacity in the interpretation of pulsations of different kinds of stars. The detailed opacity code SCO-RCG for local-thermodynamic-equilibrium (LTE) plasmas is described, as well as the OPAMCDF project dedicated to the spectroscopy of LTE and non-LTE plasmas. Interpretations, with the latter codes, of several laser and Z pinch experiments in conditions relevant to astrophysical applications are also presented and our work in progress as concerns the internal solar conditions is illustrated.
astro-ph.SR physics.atom-ph
radiative opacity is an important quantity in the modeling of stellar structure and evolution in the present work we recall the role of opacity in the interpretation of pulsations of different kinds of stars the detailed opacity code scorcg for localthermodynamicequilibrium lte plasmas is described as well as the opamcdf project dedicated to the spectroscopy of lte and nonlte plasmas interpretations with the latter codes of several laser and z pinch experiments in conditions relevant to astrophysical applications are also presented and our work in progress as concerns the internal solar conditions is illustrated
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1,802.00783
Some Ulam's reconstruction problems for quantum states
Provided a complete set of putative $k$-body reductions of a multipartite quantum state, can one determine if a joint state exists? We derive necessary conditions for this to be true. In contrast to what is known as the quantum marginal problem, we consider a setting where the labeling of the subsystems is unknown. The problem can be seen in analogy to Ulam's reconstruction conjecture in graph theory. The conjecture - still unsolved - claims that every graph on at least three vertices can uniquely be reconstructed from the set of its vertex-deleted subgraphs. When considering quantum states, we demonstrate that the non-existence of joint states can, in some cases, already be inferred from a set of marginals having the size of just more than half of the parties. We apply these methods to graph states, where many constraints can be evaluated by knowing the number of stabilizer elements of certain weights that appear in the reductions. This perspective links with constraints that were derived in the context of quantum error-correcting codes and polynomial invariants. Some of these constraints can be interpreted as monogamy-like relations that limit the correlations arising from quantum states. Lastly, we provide an answer to Ulam's reconstruction problem for generic quantum states.
quant-ph math.CO
provided a complete set of putative kbody reductions of a multipartite quantum state can one determine if a joint state exists we derive necessary conditions for this to be true in contrast to what is known as the quantum marginal problem we consider a setting where the labeling of the subsystems is unknown the problem can be seen in analogy to ulams reconstruction conjecture in graph theory the conjecture still unsolved claims that every graph on at least three vertices can uniquely be reconstructed from the set of its vertexdeleted subgraphs when considering quantum states we demonstrate that the nonexistence of joint states can in some cases already be inferred from a set of marginals having the size of just more than half of the parties we apply these methods to graph states where many constraints can be evaluated by knowing the number of stabilizer elements of certain weights that appear in the reductions this perspective links with constraints that were derived in the context of quantum errorcorrecting codes and polynomial invariants some of these constraints can be interpreted as monogamylike relations that limit the correlations arising from quantum states lastly we provide an answer to ulams reconstruction problem for generic quantum states
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1,802.00784
Energetics of oxygen-octahedra rotations in perovskite oxides from first principles
We use first-principles methods to study oxygen-octahedra rotations in ABO3 perovskite oxides. We focus on the short-period, perfectly antiphase or in-phase, tilt patterns that characterize most compounds and control their physical (e.g., conductive, magnetic) properties. Based on an analytical form of the relevant potential energy surface, we discuss the conditions for the stability of polymorphs presenting different tilt patterns, and obtain numerical results for a collection of thirty-five representative materials. Our results reveal the mechanisms responsible for the frequent occurrence of a particular structure that combines antiphase and in-phase rotations, i.e., the orthorhombic Pbnm phase displayed by about half of all perovskite oxides and by many non-oxidic perovskites. The Pbnm phase benefits from the simultaneous occurrence of antiphase and in-phase tilt patterns that compete with each other, but not as strongly as to be mutually exclusive. We also find that secondary antipolar modes, involving the A cations, contribute to weaken the competition between different tilts and play a key role in their coexistence. Our results thus confirm and better explain previous observations for particular compounds. Interestingly, we also find that strain effects, which are known to be a major factor governing phase competition in related (e.g., ferroelectric) perovskite oxides, play no essential role as regards the relative stability of different rotational polymorphs. Further, we discuss why the Pbnm structure stops being the ground state in two opposite limits, for large and small A cations, showing that very different effects become relevant in each case. Our work thus provides a comprehensive discussion on these all-important and abundant materials, which will be useful to better understand existing compounds as well as to identify new strategies for materials engineering.
cond-mat.mtrl-sci
we use firstprinciples methods to study oxygenoctahedra rotations in abo3 perovskite oxides we focus on the shortperiod perfectly antiphase or inphase tilt patterns that characterize most compounds and control their physical eg conductive magnetic properties based on an analytical form of the relevant potential energy surface we discuss the conditions for the stability of polymorphs presenting different tilt patterns and obtain numerical results for a collection of thirtyfive representative materials our results reveal the mechanisms responsible for the frequent occurrence of a particular structure that combines antiphase and inphase rotations ie the orthorhombic pbnm phase displayed by about half of all perovskite oxides and by many nonoxidic perovskites the pbnm phase benefits from the simultaneous occurrence of antiphase and inphase tilt patterns that compete with each other but not as strongly as to be mutually exclusive we also find that secondary antipolar modes involving the a cations contribute to weaken the competition between different tilts and play a key role in their coexistence our results thus confirm and better explain previous observations for particular compounds interestingly we also find that strain effects which are known to be a major factor governing phase competition in related eg ferroelectric perovskite oxides play no essential role as regards the relative stability of different rotational polymorphs further we discuss why the pbnm structure stops being the ground state in two opposite limits for large and small a cations showing that very different effects become relevant in each case our work thus provides a comprehensive discussion on these allimportant and abundant materials which will be useful to better understand existing compounds as well as to identify new strategies for materials engineering
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1,802.00785
Brownian motion in attenuated or renormalized inverse-square Poisson potential
We consider the parabolic Anderson problem with random potentials having inverse-square singularities around the points of a standard Poisson point process in $\mathbb{R}^d$, $d \geq 3$. The potentials we consider are obtained via superposition of translations over the points of the Poisson point process of a kernel $\mathfrak{K}$ behaving as $\mathfrak{K}(x) \approx \theta |x|^{-2}$ near the origin, where $\theta \in (0,(d-2)^2/16]$. In order to make sense of the corresponding path integrals, we require the potential to be either attenuated (meaning that $\mathfrak{K}$ is integrable at infinity) or, when $d=3$, renormalized, as introduced by Chen and Kulik in [8]. Our main results include existence and large-time asymptotics of non-negative solutions via Feynman-Kac representation. In particular, we settle for the renormalized potential in $d=3$ the problem with critical parameter $\theta = 1/16$, left open by Chen and Rosinski in [arXiv:1103.5717].
math.PR
we consider the parabolic anderson problem with random potentials having inversesquare singularities around the points of a standard poisson point process in mathbbrd d geq 3 the potentials we consider are obtained via superposition of translations over the points of the poisson point process of a kernel mathfrakk behaving as mathfrakkx approx theta x2 near the origin where theta in 0d2216 in order to make sense of the corresponding path integrals we require the potential to be either attenuated meaning that mathfrakk is integrable at infinity or when d3 renormalized as introduced by chen and kulik in 8 our main results include existence and largetime asymptotics of nonnegative solutions via feynmankac representation in particular we settle for the renormalized potential in d3 the problem with critical parameter theta 116 left open by chen and rosinski in arxiv11035717
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1,802.00786
Footprints of leptoquarks: from $ R_{K^{(*)}} $ to $ K \to \pi \nu \bar\nu $
Rare $K \to \pi \nu \bar \nu$ decays, being dominated by short distance contributions within the Standard Model (SM), open a window for New Physics (NP) searches at low energies. The $ K \to \pi \nu \bar\nu $ branching ratios are expected to be measured with $ \sim 10\% $ accuracies by NA62/CERN and KOTO/JPARC. The theoretical uncertainties of branching ratios within the SM are well under control. In the $ B $ sector, it is tentative to explain the $ B $-meson anomalies $ R_{D^{(\ast)}} $ and/or $ R_{K^{(\ast)}} $ by effects of physics beyond the SM. Although NP seems to be present in the third fermion generation it might also manifest in the flavor changing neutral current transition $ s \to d $. Together with the anticipated good experimental sensitivities and accurate theoretical predictions for $ K\to \pi \nu \bar \nu $, this motivates studies of correlated effects of NP in rare $ K\to \pi \nu \bar \nu $ and $ B \to K^{(*)} \mu^+ \mu^- $ decays. Here we consider the loop induced effects in $ K \to \pi \nu \bar\nu $ in two leptoquark models designed to address lepton-flavor universality violation in the $ R_{K^{(\ast)}} $ anomalies.
hep-ph
rare k to pi nu bar nu decays being dominated by short distance contributions within the standard model sm open a window for new physics np searches at low energies the k to pi nu barnu branching ratios are expected to be measured with sim 10 accuracies by na62cern and kotojparc the theoretical uncertainties of branching ratios within the sm are well under control in the b sector it is tentative to explain the b meson anomalies r_dast andor r_kast by effects of physics beyond the sm although np seems to be present in the third fermion generation it might also manifest in the flavor changing neutral current transition s to d together with the anticipated good experimental sensitivities and accurate theoretical predictions for kto pi nu bar nu this motivates studies of correlated effects of np in rare kto pi nu bar nu and b to k mu mu decays here we consider the loop induced effects in k to pi nu barnu in two leptoquark models designed to address leptonflavor universality violation in the r_kast anomalies
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1,802.00787
Zero-Cost Coercions for Program and Proof Reuse
We introduce the notion of identity coercions between non-indexed and indexed variants of inductive datatypes, such as lists and vectors. An identity coercion translates one type to another such that the coercion function definitionally reduces to the identity function. This allows us to reuse vector programs to derive list programs (and vice versa), without any runtime cost. This also allows us to reuse vector proofs to derive list proofs (and vice versa), without the cost of equational reasoning proof obligations. Our work is formalized in Cedille, a dependently typed programming language based on a type-annotated Curry-style type the- ory with implicit (or, erased) products (or, dependent functions), and relies crucially on erasure to introduce definitional equalities between underlying untyped terms.
cs.PL
we introduce the notion of identity coercions between nonindexed and indexed variants of inductive datatypes such as lists and vectors an identity coercion translates one type to another such that the coercion function definitionally reduces to the identity function this allows us to reuse vector programs to derive list programs and vice versa without any runtime cost this also allows us to reuse vector proofs to derive list proofs and vice versa without the cost of equational reasoning proof obligations our work is formalized in cedille a dependently typed programming language based on a typeannotated currystyle type the ory with implicit or erased products or dependent functions and relies crucially on erasure to introduce definitional equalities between underlying untyped terms
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1,802.00788
Unique Spin Vortices in Quantum Dots with Spin-orbit Couplings
Spin textures of one or two electrons in a quantum dot with Rashba or Dresselhaus spin-orbit couplings reveal several intriguing properties. We show that even at the single-electron level spin vortices with different topological charges exist. These topological textures appear in the {\it ground state} of the dots. The textures are stabilized by time-reversal symmetry breaking and are robust against the eccentricity of the dot. The phenomenon persists for the interacting two-electron dot in the presence of a magnetic field.
cond-mat.mes-hall cond-mat.str-el
spin textures of one or two electrons in a quantum dot with rashba or dresselhaus spinorbit couplings reveal several intriguing properties we show that even at the singleelectron level spin vortices with different topological charges exist these topological textures appear in the it ground state of the dots the textures are stabilized by timereversal symmetry breaking and are robust against the eccentricity of the dot the phenomenon persists for the interacting twoelectron dot in the presence of a magnetic field
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1,802.00789
Coulomb-free and Coulomb-distorted recolliding quantum orbits in photoelectron holography
We perform a detailed analysis of the different types of orbits in the Coulomb Quantum Orbit Strong-field Approximation (CQSFA), ranging from direct to those undergoing hard collisions. We show that some of them exhibit clear counterparts in the standard formulations of the strong-field approximation for direct and rescattered above-threshold ionization, and show that the standard orbit classification commonly used in Coulomb-corrected models is over-simplified. We identify several types of rescattered orbits, such as those responsible for the low-energy structures reported in the literature, and determine the momentum regions in which they occur. We also find formerly overlooked interference patterns caused by backscattered, Coulomb-corrected orbits and assess their effect on photoelectron angular distributions. These orbits improves the agreement of photoelectron angular distributions computed with the CQSFA with the outcome of ab-initio methods for high-energy phtotoelectrons perpendicular to the field-polarization axis.
physics.atom-ph quant-ph
we perform a detailed analysis of the different types of orbits in the coulomb quantum orbit strongfield approximation cqsfa ranging from direct to those undergoing hard collisions we show that some of them exhibit clear counterparts in the standard formulations of the strongfield approximation for direct and rescattered abovethreshold ionization and show that the standard orbit classification commonly used in coulombcorrected models is oversimplified we identify several types of rescattered orbits such as those responsible for the lowenergy structures reported in the literature and determine the momentum regions in which they occur we also find formerly overlooked interference patterns caused by backscattered coulombcorrected orbits and assess their effect on photoelectron angular distributions these orbits improves the agreement of photoelectron angular distributions computed with the cqsfa with the outcome of abinitio methods for highenergy phtotoelectrons perpendicular to the fieldpolarization axis
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1,802.0079
Holomorphic spheres and four-dimensional symplectic pairs
We classify four-dimensional manifolds endowed with symplectic pairs admitting embedded symplectic spheres with non-negative self-intersection, following the strategy of McDuff's classification of rational and ruled symplectic four manifolds.
math.SG
we classify fourdimensional manifolds endowed with symplectic pairs admitting embedded symplectic spheres with nonnegative selfintersection following the strategy of mcduffs classification of rational and ruled symplectic four manifolds
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1,802.00791
Does Planck 2015 polarization favor high redshift reionization?
We study the relationship between signatures of high redshift ionization in large-angle CMB polarization power spectra and features in the Planck 2015 data. Using a principal component (PC) ionization basis that is complete to the cosmic variance limit out to $z_{\rm max}=30,40,50$, we find a robust $>95\%$ CL preference for ionization at $z>15$ with no preference for $z>40$. This robustness originates from the $\ell \sim 10$ region of the data which show high power relative to $\ell \le 8$ and result in a poor fit to a steplike model of reionization. Instead by allowing for high redshift reionization, the PCs provide a better fit by $2\Delta \mathrm{ln}\mathcal{L} = 5-6$. Due to a degeneracy in the ionization redshift response, this improved fit is due to a single aspect of the model: the ability to accommodate $z>10$ component to the ionization as we illustrate with a two-step reionization model. For this and other models that accommodate such a component, its presence is allowed and even favored; for models that do not, their poor fit reflects statistical or systematic fluctuations. These possibilities produce very different and testable predictions at $\ell \sim 15-20$, as well as small but detectable differences at $\ell>30$ that can further restrict the high redshift limit of reionization.
astro-ph.CO
we study the relationship between signatures of high redshift ionization in largeangle cmb polarization power spectra and features in the planck 2015 data using a principal component pc ionization basis that is complete to the cosmic variance limit out to z_rm max304050 we find a robust 95 cl preference for ionization at z15 with no preference for z40 this robustness originates from the ell sim 10 region of the data which show high power relative to ell le 8 and result in a poor fit to a steplike model of reionization instead by allowing for high redshift reionization the pcs provide a better fit by 2delta mathrmlnmathcall 56 due to a degeneracy in the ionization redshift response this improved fit is due to a single aspect of the model the ability to accommodate z10 component to the ionization as we illustrate with a twostep reionization model for this and other models that accommodate such a component its presence is allowed and even favored for models that do not their poor fit reflects statistical or systematic fluctuations these possibilities produce very different and testable predictions at ell sim 1520 as well as small but detectable differences at ell30 that can further restrict the high redshift limit of reionization
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1,802.00792
Values of Random Polynomials at Integer Points
Using classical results of Rogers bounding the $L^2$-norm of Siegel transforms, we give bounds on the heights of approximate integral solutions of quadratic equations and error terms in the quantiative Oppenheim theorem of Eskin-Margulis-Mozes for almost every quadratic form. Further applications yield quantitative information on the distribution of values of random polynomials at integral points.
math.NT
using classical results of rogers bounding the l2norm of siegel transforms we give bounds on the heights of approximate integral solutions of quadratic equations and error terms in the quantiative oppenheim theorem of eskinmargulismozes for almost every quadratic form further applications yield quantitative information on the distribution of values of random polynomials at integral points
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1,802.00793
Structural analysis with mixed-frequency data: A MIDAS-SVAR model of US capital flows
We develop a new VAR model for structural analysis with mixed-frequency data. The MIDAS-SVAR model allows to identify structural dynamic links exploiting the information contained in variables sampled at different frequencies. It also provides a general framework to test homogeneous frequency-based representations versus mixed-frequency data models. A set of Monte Carlo experiments suggests that the test performs well both in terms of size and power. The MIDAS-SVAR is then used to study how monetary policy and financial market volatility impact on the dynamics of gross capital inflows to the US. While no relation is found when using standard quarterly data, exploiting the variability present in the series within the quarter shows that the effect of an interest rate shock is greater the longer the time lag between the month of the shock and the end of the quarter
econ.EM
we develop a new var model for structural analysis with mixedfrequency data the midassvar model allows to identify structural dynamic links exploiting the information contained in variables sampled at different frequencies it also provides a general framework to test homogeneous frequencybased representations versus mixedfrequency data models a set of monte carlo experiments suggests that the test performs well both in terms of size and power the midassvar is then used to study how monetary policy and financial market volatility impact on the dynamics of gross capital inflows to the us while no relation is found when using standard quarterly data exploiting the variability present in the series within the quarter shows that the effect of an interest rate shock is greater the longer the time lag between the month of the shock and the end of the quarter
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1,802.00794
Photoluminescence and gain/absorption spectra of a driven-dissipative electron-hole-photon condensate
We investigate theoretically nonequilibrium effects on photoluminescence and gain/absorption spectra of a driven-dissipative exciton-polariton condensate, by employing the combined Hartree-Fock-Bogoliubov theory with the generalized random phase approximation extended to the Keldysh formalism. Our calculated photoluminescence spectra is in semiquantitative agreement with experiments, where features such as a blue shift of the emission from the condensate, the appearance of the dispersionless feature of a diffusive Goldstone mode, and the suppression of the dispersive profile of the mode are obtained. We show that the nonequilibrium nature of the exciton-polariton condensate strongly suppresses the visibility of the Bogoliubov dispersion in the negative energy branch (ghost branch) in photoluminescence spectra. We also show that the trace of this branch can be captured as a hole burning effect in gain/absorption spectra. Our results indicate that the nonequilibrium nature of the exciton-polariton condensate strongly reduces quantum depletion, while a scattering channel to the ghost branch is still present.
cond-mat.mes-hall cond-mat.quant-gas cond-mat.str-el cond-mat.supr-con
we investigate theoretically nonequilibrium effects on photoluminescence and gainabsorption spectra of a drivendissipative excitonpolariton condensate by employing the combined hartreefockbogoliubov theory with the generalized random phase approximation extended to the keldysh formalism our calculated photoluminescence spectra is in semiquantitative agreement with experiments where features such as a blue shift of the emission from the condensate the appearance of the dispersionless feature of a diffusive goldstone mode and the suppression of the dispersive profile of the mode are obtained we show that the nonequilibrium nature of the excitonpolariton condensate strongly suppresses the visibility of the bogoliubov dispersion in the negative energy branch ghost branch in photoluminescence spectra we also show that the trace of this branch can be captured as a hole burning effect in gainabsorption spectra our results indicate that the nonequilibrium nature of the excitonpolariton condensate strongly reduces quantum depletion while a scattering channel to the ghost branch is still present
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1,802.00795
On the Nature of the High-Energy Rollover in 1H 0419-577
A NuSTAR/Swift observation of the luminous Seyfert 1 galaxy 1H 0419-577 taken during 2015 reveals one of the most extreme high energy cut-offs observed to date from an AGN - an origin due to thermal Comptonization would imply a remarkably low coronal temperature $kT \sim 15$ keV. The low energy peak of the spectrum in the hard X-ray NuSTAR band, which peaks before the expected onset of a Compton hump, rules out strong reflection as the origin of the hard excess in this AGN. We show the origin of the high energy rollover is likely due to a combination of both thermal Comptonization and an intrinsically steeper continuum, which is modified by absorption at lower energies. Furthermore, modeling the broadband XUV continuum shape as a colour-corrected accretion disc, requires the presence of a variable warm absorber to explain all flux and spectral states of the source, consistent with the previous work on this AGN. While absorber variations produce marked spectral variability in this AGN, consideration of all flux states allows us to isolate a colourless component of variability that may arise from changes in the inner accretion flow, typically at around $10 \, r_g$.
astro-ph.HE
a nustarswift observation of the luminous seyfert 1 galaxy 1h 0419577 taken during 2015 reveals one of the most extreme high energy cutoffs observed to date from an agn an origin due to thermal comptonization would imply a remarkably low coronal temperature kt sim 15 kev the low energy peak of the spectrum in the hard xray nustar band which peaks before the expected onset of a compton hump rules out strong reflection as the origin of the hard excess in this agn we show the origin of the high energy rollover is likely due to a combination of both thermal comptonization and an intrinsically steeper continuum which is modified by absorption at lower energies furthermore modeling the broadband xuv continuum shape as a colourcorrected accretion disc requires the presence of a variable warm absorber to explain all flux and spectral states of the source consistent with the previous work on this agn while absorber variations produce marked spectral variability in this agn consideration of all flux states allows us to isolate a colourless component of variability that may arise from changes in the inner accretion flow typically at around 10 r_g
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1,802.00796
Bayes Calculations from Quantile Implied Likelihood
In statistical practice, a realistic Bayesian model for a given data set can be defined by a likelihood function that is analytically or computationally intractable, due to large data sample size, high parameter dimensionality, or complex likelihood functional form. This in turn poses challenges to the computation and inference of the posterior distribution of the model parameters. For such a model, a tractable likelihood function is introduced which approximates the exact likelihood through its quantile function. It is defined by an asymptotic chi-square confidence distribution for a pivotal quantity, which is generated by the asymptotic normal distribution of the sample quantiles given model parameters. This Quantile Implied Likelihood (QIL) gives rise to an approximate posterior distribution which can be estimated by using penalized log-likelihood maximization or any suitable Monte Carlo algorithm. The QIL approach to Bayesian Computation is illustrated through the Bayesian analysis of simulated and real data sets having sample sizes that reach the millions. The analyses involve various models for univariate or multivariate iid or non-iid data, with low or high parameter dimensionality, many of which are defined by intractable likelihoods. The probability models include the Student's t, g-and-h, and g-and-k distributions; the Bayesian logit regression model with many covariates; exponential random graph model, a doubly-intractable model for networks; the multivariate skew normal model, for robust inference of the inverse-covariance matrix when it is large relative to the sample size; and the Wallenius distribution model.
stat.ME
in statistical practice a realistic bayesian model for a given data set can be defined by a likelihood function that is analytically or computationally intractable due to large data sample size high parameter dimensionality or complex likelihood functional form this in turn poses challenges to the computation and inference of the posterior distribution of the model parameters for such a model a tractable likelihood function is introduced which approximates the exact likelihood through its quantile function it is defined by an asymptotic chisquare confidence distribution for a pivotal quantity which is generated by the asymptotic normal distribution of the sample quantiles given model parameters this quantile implied likelihood qil gives rise to an approximate posterior distribution which can be estimated by using penalized loglikelihood maximization or any suitable monte carlo algorithm the qil approach to bayesian computation is illustrated through the bayesian analysis of simulated and real data sets having sample sizes that reach the millions the analyses involve various models for univariate or multivariate iid or noniid data with low or high parameter dimensionality many of which are defined by intractable likelihoods the probability models include the students t gandh and gandk distributions the bayesian logit regression model with many covariates exponential random graph model a doublyintractable model for networks the multivariate skew normal model for robust inference of the inversecovariance matrix when it is large relative to the sample size and the wallenius distribution model
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1,802.00797
Dispersive approach to non-Abelian axial anomaly
Manifestations of strong and electromagnetic axial anomalies in two-photon decays of $\eta$ and $\eta'$ mesons are studied. Applying dispersive approach to axial anomaly in the singlet current, we obtain an anomaly sum rule containing strong and electromagnetic anomaly contributions. The relevant low energy theorem was generalized to the case of mixed states and used to evaluate the subtraction constant of the strong anomaly-related form factor $\langle 0 |G\tilde{G} |\gamma\gamma \rangle$. We made a numerical estimation of the contributions of gluon and electromagnetic anomalies to the two-photon decays of $\eta$ and $\eta'$ mesons and found significant suppression of the gluon anomaly contribution.
hep-ph
manifestations of strong and electromagnetic axial anomalies in twophoton decays of eta and eta mesons are studied applying dispersive approach to axial anomaly in the singlet current we obtain an anomaly sum rule containing strong and electromagnetic anomaly contributions the relevant low energy theorem was generalized to the case of mixed states and used to evaluate the subtraction constant of the strong anomalyrelated form factor langle 0 gtildeg gammagamma rangle we made a numerical estimation of the contributions of gluon and electromagnetic anomalies to the twophoton decays of eta and eta mesons and found significant suppression of the gluon anomaly contribution
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1,802.00798
Weak solutions for some compressible multicomponent fluid models
The principle purpose of this work is to investigate a "viscous" version of a "simple" but still realistic bi-fluid model described in [Bresch, Desjardin, Ghidaglia, Grenier, Hillairet] whose "non-viscous" version is derived from physical considerations in \cite[Ishii, Hibiki]{ISHI} as a particular sample of a multifluid model with algebraic closure. The goal is to show existence of weak solutions for large initial data on an arbitrarily large time interval. We achieve this goal by transforming the model to an academic system which resembles to the compressible Navier-Stokes equations, with however two continuity equations and a momentum equation endowed with pressure of complicated structure dependent on two variable densities. The new "academic system" is then solved by an adaptation of the Lions--Feireisl approach for solving compressible Navier--Stokes equation, completed with several observations related to the DiPerna--Lions transport theory inspired by [Maltese, Michalek, Mucha, Novotny, Pokorny, Zatorska] and [Vasseur, Wen, Yu]. We also explain how these techniques can be generalized to a model of mixtures with more then two species. This is the first result on the existence of weak solutions for any realistic multifluid system.
math.AP
the principle purpose of this work is to investigate a viscous version of a simple but still realistic bifluid model described in bresch desjardin ghidaglia grenier hillairet whose nonviscous version is derived from physical considerations in citeishii hibikiishi as a particular sample of a multifluid model with algebraic closure the goal is to show existence of weak solutions for large initial data on an arbitrarily large time interval we achieve this goal by transforming the model to an academic system which resembles to the compressible navierstokes equations with however two continuity equations and a momentum equation endowed with pressure of complicated structure dependent on two variable densities the new academic system is then solved by an adaptation of the lionsfeireisl approach for solving compressible navierstokes equation completed with several observations related to the dipernalions transport theory inspired by maltese michalek mucha novotny pokorny zatorska and vasseur wen yu we also explain how these techniques can be generalized to a model of mixtures with more then two species this is the first result on the existence of weak solutions for any realistic multifluid system
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1,802.00799
Full- & Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent-Magnet Synchronous Generator
Wind energy is an integral part of nowadays energy supply and one of the fastest growing sources of electricity in the world today. Accurate models for wind energy conversion systems (WECSs) are of key interest for the analysis and control design of present and future energy systems. Existing control-oriented WECSs models are subject to unstructured simplifications, which have not been discussed in literature so far. Thus, this technical note presents are thorough derivation of a physical state-space model for permanent magnet synchronous generator WECSs. The physical model considers all dynamic effects that significantly influence the system's power output, including the switching of the power electronics. Alternatively, the model is formulated in the $(a,b,c)$- and $(d,q)$-reference frame. Secondly, a complete control and operation management system for the wind regimes II and III and the transition between the regimes is presented. The control takes practical effects such as input saturation and integral windup into account. Thirdly, by a structured model reduction procedure, two state-space models of WECS with reduced complexity are derived: a non-switching model and a non-switching reduced-order model. The validity of the models is illustrated and compared through a numerical simulation study.
cs.SY
wind energy is an integral part of nowadays energy supply and one of the fastest growing sources of electricity in the world today accurate models for wind energy conversion systems wecss are of key interest for the analysis and control design of present and future energy systems existing controloriented wecss models are subject to unstructured simplifications which have not been discussed in literature so far thus this technical note presents are thorough derivation of a physical statespace model for permanent magnet synchronous generator wecss the physical model considers all dynamic effects that significantly influence the systems power output including the switching of the power electronics alternatively the model is formulated in the abc and dqreference frame secondly a complete control and operation management system for the wind regimes ii and iii and the transition between the regimes is presented the control takes practical effects such as input saturation and integral windup into account thirdly by a structured model reduction procedure two statespace models of wecs with reduced complexity are derived a nonswitching model and a nonswitching reducedorder model the validity of the models is illustrated and compared through a numerical simulation study
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1,802.008
QoS-aware Dynamic Fog Service Provisioning
Recent advances in the areas of Internet of Things (IoT), Big Data, and Machine Learning have contributed to the rise of a growing number of complex applications. These applications will be data-intensive, delay-sensitive, and real-time as smart devices prevail more in our daily life. Ensuring Quality of Service (QoS) for delay-sensitive applications is a must, and fog computing is seen as one of the primary enablers for satisfying such tight QoS requirements, as it puts compute, storage, and networking resources closer to the user. In this paper, we first introduce FogPlan, a framework for QoS-aware Dynamic Fog Service Provisioning (QDFSP). QDFSP concerns the dynamic deployment of application services on fog nodes, or the release of application services that have previously been deployed on fog nodes, in order to meet low latency and QoS requirements of applications while minimizing cost. FogPlan framework is practical and operates with no assumptions and minimal information about IoT nodes. Next, we present a possible formulation (as an optimization problem) and two efficient greedy algorithms for addressing the QDFSP at one instance of time. Finally, the FogPlan framework is evaluated using a simulation based on real-world traffic traces.
cs.NI
recent advances in the areas of internet of things iot big data and machine learning have contributed to the rise of a growing number of complex applications these applications will be dataintensive delaysensitive and realtime as smart devices prevail more in our daily life ensuring quality of service qos for delaysensitive applications is a must and fog computing is seen as one of the primary enablers for satisfying such tight qos requirements as it puts compute storage and networking resources closer to the user in this paper we first introduce fogplan a framework for qosaware dynamic fog service provisioning qdfsp qdfsp concerns the dynamic deployment of application services on fog nodes or the release of application services that have previously been deployed on fog nodes in order to meet low latency and qos requirements of applications while minimizing cost fogplan framework is practical and operates with no assumptions and minimal information about iot nodes next we present a possible formulation as an optimization problem and two efficient greedy algorithms for addressing the qdfsp at one instance of time finally the fogplan framework is evaluated using a simulation based on realworld traffic traces
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1,802.00801
Accessing scrambling using matrix product operators
Scrambling, a process in which quantum information spreads over a complex quantum system becoming inaccessible to simple probes, happens in generic chaotic quantum many-body systems, ranging from spin chains, to metals, even to black holes. Scrambling can be measured using out-of-time-ordered correlators (OTOCs), which are closely tied to the growth of Heisenberg operators. In this work, we present a general method to calculate OTOCs of local operators in local one-dimensional systems based on approximating Heisenberg operators as matrix-product operators (MPOs). Contrary to the common belief that such tensor network methods work only at early times, we show that the entire early growth region of the OTOC can be captured using an MPO approximation with modest bond dimension. We analytically establish the goodness of the approximation by showing that if an appropriate OTOC is close to its initial value, then the associated Heisenberg operator has low entanglement across a given cut. We use the method to study scrambling in a chaotic spin chain with $201$ sites. Based on this data and OTOC results for black holes, local random circuit models, and non-interacting systems, we conjecture a universal form for the dynamics of the OTOC near the wavefront. We show that this form collapses the chaotic spin chain data over more than fifteen orders of magnitude.
quant-ph cond-mat.str-el hep-th
scrambling a process in which quantum information spreads over a complex quantum system becoming inaccessible to simple probes happens in generic chaotic quantum manybody systems ranging from spin chains to metals even to black holes scrambling can be measured using outoftimeordered correlators otocs which are closely tied to the growth of heisenberg operators in this work we present a general method to calculate otocs of local operators in local onedimensional systems based on approximating heisenberg operators as matrixproduct operators mpos contrary to the common belief that such tensor network methods work only at early times we show that the entire early growth region of the otoc can be captured using an mpo approximation with modest bond dimension we analytically establish the goodness of the approximation by showing that if an appropriate otoc is close to its initial value then the associated heisenberg operator has low entanglement across a given cut we use the method to study scrambling in a chaotic spin chain with 201 sites based on this data and otoc results for black holes local random circuit models and noninteracting systems we conjecture a universal form for the dynamics of the otoc near the wavefront we show that this form collapses the chaotic spin chain data over more than fifteen orders of magnitude
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1,802.00802
Quantum holography in a graphene flake with an irregular boundary
Electrons in clean macroscopic samples of graphene exhibit an astonishing variety of quantum phases when strong perpendicular magnetic field is applied. These include integer and fractional quantum Hall states as well as symmetry broken phases and quantum Hall ferromagnetism. Here we show that mesoscopic graphene flakes in the regime of strong disorder and magnetic field can exhibit another remarkable quantum phase described by holographic duality to an extremal black hole in two dimensional anti-de Sitter space. This phase of matter can be characterized as a maximally chaotic non-Fermi liquid since it is described by a complex fermion version of the Sachdev-Ye-Kitaev model known to possess these remarkable properties.
cond-mat.str-el cond-mat.mes-hall
electrons in clean macroscopic samples of graphene exhibit an astonishing variety of quantum phases when strong perpendicular magnetic field is applied these include integer and fractional quantum hall states as well as symmetry broken phases and quantum hall ferromagnetism here we show that mesoscopic graphene flakes in the regime of strong disorder and magnetic field can exhibit another remarkable quantum phase described by holographic duality to an extremal black hole in two dimensional antide sitter space this phase of matter can be characterized as a maximally chaotic nonfermi liquid since it is described by a complex fermion version of the sachdevyekitaev model known to possess these remarkable properties
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1,802.00803
Five-loop massless propagator integrals
We develop a method to obtain $\epsilon$-expansions of massless two-point integrals in position space, based on the constraints implied by symmetries of the asymptotic expansion of conformal four-point integrals. Together with parametric integration, we are able to fix the expansions of 170 genuine five-loop master integrals. In particular, we computed the expansions of all planar master integrals up to transcendental weight 9.
hep-th
we develop a method to obtain epsilonexpansions of massless twopoint integrals in position space based on the constraints implied by symmetries of the asymptotic expansion of conformal fourpoint integrals together with parametric integration we are able to fix the expansions of 170 genuine fiveloop master integrals in particular we computed the expansions of all planar master integrals up to transcendental weight 9
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1,802.00804
Theoretical description of Carbene-Metal-Amides
Carbene-Metal-Amide light-emitting diodes have recently shown internal quantum efficiencies approaching 100%, and there has been substantial debate concerning the cause of their exceptionally high efficiency. Here we present a theoretical description of CMAs, showing how a simple three-atom model can predict the form of the HOMO and LUMO, determine the polarization of transitions and the feasibility of spin-orbit coupling, as well as the qualitative dependence of excited state energies and oscillator strength on the twist angle. These results clarify many of the claims concerning CMAs and pave the way for the design of more efficient devices.
physics.chem-ph cond-mat.mtrl-sci
carbenemetalamide lightemitting diodes have recently shown internal quantum efficiencies approaching 100 and there has been substantial debate concerning the cause of their exceptionally high efficiency here we present a theoretical description of cmas showing how a simple threeatom model can predict the form of the homo and lumo determine the polarization of transitions and the feasibility of spinorbit coupling as well as the qualitative dependence of excited state energies and oscillator strength on the twist angle these results clarify many of the claims concerning cmas and pave the way for the design of more efficient devices
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1,802.00805
Stable pair compactifications of the moduli space of degree one del pezzo surfaces via elliptic fibrations
A degree one del Pezzo surface is the blowup of P^2 at 8 general points. By the classical Cayley-Bacharach Theorem, there is a unique 9th point whose blowup produces a rational elliptic surface with a section. Via this relationship, we construct a stable pair compactification of the moduli space of anti-canonically polarized degree one del Pezzo surfaces.
math.AG
a degree one del pezzo surface is the blowup of p2 at 8 general points by the classical cayleybacharach theorem there is a unique 9th point whose blowup produces a rational elliptic surface with a section via this relationship we construct a stable pair compactification of the moduli space of anticanonically polarized degree one del pezzo surfaces
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1,802.00806
Unified approach to geometric and positive-map-based non-linear entanglement identifiers
Detecting quantumness of correlations (especially entanglement) is a very hard task even in the simplest case i.e. two-partite quantum systems. Here we provide an analysis whether there exists a relation between two most popular types of entanglement identifiers: the first one based on positive maps and not directly applicable in laboratory and the second one --- geometric entanglement identifier which is based on specific Hermiticity-preserving maps. We show a profound relation between those two types of entanglement criteria. Hereunder we have proposed a general framework of nonlinear functional entanglement identifiers which allows us to construct new experimentally friendly entanglement criteria.
quant-ph
detecting quantumness of correlations especially entanglement is a very hard task even in the simplest case ie twopartite quantum systems here we provide an analysis whether there exists a relation between two most popular types of entanglement identifiers the first one based on positive maps and not directly applicable in laboratory and the second one geometric entanglement identifier which is based on specific hermiticitypreserving maps we show a profound relation between those two types of entanglement criteria hereunder we have proposed a general framework of nonlinear functional entanglement identifiers which allows us to construct new experimentally friendly entanglement criteria
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1,802.00807
Unlearning and Seyab's theorem: a dialogue about updating probability
This dialogue explores the possibility of updating a probability as a consequence of unlearning, reversing the role of prior and posterior probabilities.
physics.pop-ph physics.data-an quant-ph
this dialogue explores the possibility of updating a probability as a consequence of unlearning reversing the role of prior and posterior probabilities
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1,802.00808
Decrease of transit-time broadening of spectral resonances by optical pumping of atoms
We propose the new method of essential decrease of transit-time broadening of Doppler-free absorption resonances on transitions between long-lived quantum levels of atoms (or molecules) of a rarefied gas medium. This method is based on preliminary optical pumping of the ground term of atoms (molecules) by additional radiation which is spatially separated from the recording light beam. The proposed method may be applied in atomic (molecular) spectroscopy of ultra high resolution and also in frequency and time standards.
physics.atom-ph physics.optics
we propose the new method of essential decrease of transittime broadening of dopplerfree absorption resonances on transitions between longlived quantum levels of atoms or molecules of a rarefied gas medium this method is based on preliminary optical pumping of the ground term of atoms molecules by additional radiation which is spatially separated from the recording light beam the proposed method may be applied in atomic molecular spectroscopy of ultra high resolution and also in frequency and time standards
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1,802.00809
Arf good semigroups with fixed conductor
In this paper we present a new algorithm to calculate the set of Arf numerical semigroups with given conductor. Moreover, we extend the previous problem to the class of good semigroups, presenting procedures to compute the set of the Arf good semigroups of $\mathbb{N}^r$ with a fixed conductor $\textbf{c} \in \mathbb{N}^r$, for all $r \in \mathbb{N}$.
math.AC
in this paper we present a new algorithm to calculate the set of arf numerical semigroups with given conductor moreover we extend the previous problem to the class of good semigroups presenting procedures to compute the set of the arf good semigroups of mathbbnr with a fixed conductor textbfc in mathbbnr for all r in mathbbn
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1,802.0081
Deep Learning for Genomics: A Concise Overview
Advancements in genomic research such as high-throughput sequencing techniques have driven modern genomic studies into "big data" disciplines. This data explosion is constantly challenging conventional methods used in genomics. In parallel with the urgent demand for robust algorithms, deep learning has succeeded in a variety of fields such as vision, speech, and text processing. Yet genomics entails unique challenges to deep learning since we are expecting from deep learning a superhuman intelligence that explores beyond our knowledge to interpret the genome. A powerful deep learning model should rely on insightful utilization of task-specific knowledge. In this paper, we briefly discuss the strengths of different deep learning models from a genomic perspective so as to fit each particular task with a proper deep architecture, and remark on practical considerations of developing modern deep learning architectures for genomics. We also provide a concise review of deep learning applications in various aspects of genomic research, as well as pointing out potential opportunities and obstacles for future genomics applications.
q-bio.GN cs.LG
advancements in genomic research such as highthroughput sequencing techniques have driven modern genomic studies into big data disciplines this data explosion is constantly challenging conventional methods used in genomics in parallel with the urgent demand for robust algorithms deep learning has succeeded in a variety of fields such as vision speech and text processing yet genomics entails unique challenges to deep learning since we are expecting from deep learning a superhuman intelligence that explores beyond our knowledge to interpret the genome a powerful deep learning model should rely on insightful utilization of taskspecific knowledge in this paper we briefly discuss the strengths of different deep learning models from a genomic perspective so as to fit each particular task with a proper deep architecture and remark on practical considerations of developing modern deep learning architectures for genomics we also provide a concise review of deep learning applications in various aspects of genomic research as well as pointing out potential opportunities and obstacles for future genomics applications
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1,802.00811
A Trajectory from a Vertex to Itself on the Dodecahedron
We prove that there exists a geodesic trajectory on the dodecahedron from a vertex to itself that does not pass through any other vertex.
math.HO math.GT
we prove that there exists a geodesic trajectory on the dodecahedron from a vertex to itself that does not pass through any other vertex
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1,802.00812
Globular cluster populations and the kinematical fingerprints of minor mergers
We use Monte Carlo $\Lambda$CDM assembly histories, minor-merger N-body simulations and empirical relations between halo mass and the globular cluster (GC) abundance to study the kinematical properties of halo GCs in massive galaxies, with $M_{vir}(z=0)=10^{13.5}M_\odot$. While the accreted stellar halo is dominated by the contributions of massive satellites, we show that satellites with low virial mass (i.e. low satellite-to-host virial mass ratio, VMRs) are important contributors to the population of accreted GCs. The relative contribution of accretion events with low VMRs is highest for the halo population of blue GCs and gradually decreases for red GCs and accreted stars. As a consequence of the reduced efficiency of dynamical friction on minor mergers, our populations of cosmologically accreted blue GCs are systematically more spatially extended and have higher velocity dispersions than for red GCs, in agreement with observations. For the same reason, assembly histories including a higher fraction of minor mergers result in more spatially extended GC populations. GC line-of-sight velocity distributions featuring negative values of the kurtosis $\kappa$, as recently observed, are ubiquitous in our models. Therefore, $\kappa<0$ is not at odds with an accretion scenario, and in fact a fingerprint of the important contribution of minor mergers. However, our populations of accreted GCs remain mostly radially biased, with profiles of the anisotropy parameter $\beta$ that are mildly radial in the center ($\beta(r<10~{\rm kpc})\sim0.2$) and strongly radially anisotropic at large galactocentric distances ($\beta(r>30~{\rm kpc})\gtrsim0.6$), for both red and blue populations.
astro-ph.GA astro-ph.CO
we use monte carlo lambdacdm assembly histories minormerger nbody simulations and empirical relations between halo mass and the globular cluster gc abundance to study the kinematical properties of halo gcs in massive galaxies with m_virz010135m_odot while the accreted stellar halo is dominated by the contributions of massive satellites we show that satellites with low virial mass ie low satellitetohost virial mass ratio vmrs are important contributors to the population of accreted gcs the relative contribution of accretion events with low vmrs is highest for the halo population of blue gcs and gradually decreases for red gcs and accreted stars as a consequence of the reduced efficiency of dynamical friction on minor mergers our populations of cosmologically accreted blue gcs are systematically more spatially extended and have higher velocity dispersions than for red gcs in agreement with observations for the same reason assembly histories including a higher fraction of minor mergers result in more spatially extended gc populations gc lineofsight velocity distributions featuring negative values of the kurtosis kappa as recently observed are ubiquitous in our models therefore kappa0 is not at odds with an accretion scenario and in fact a fingerprint of the important contribution of minor mergers however our populations of accreted gcs remain mostly radially biased with profiles of the anisotropy parameter beta that are mildly radial in the center betar10rm kpcsim02 and strongly radially anisotropic at large galactocentric distances betar30rm kpcgtrsim06 for both red and blue populations
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1,802.00813
Geometric engineering on flops of length two
Type IIA on the conifold is a prototype example for engineering QED with one charged hypermultiplet. The geometry admits a flop of length one. In this paper, we study the next generation of geometric engineering on singular geometries, namely flops of length two such as Laufer's example, which we affectionately think of as the $\it{conifold\ 2.0}$. Type IIA on the latter geometry gives QED with higher-charge states. In type IIB, even a single D3-probe gives rise to a nonabelian quiver gauge theory. We study this class of geometries explicitly by leveraging their quiver description, showing how to parametrize the exceptional curve, how to see the flop transition, and how to find the noncompact divisors intersecting the curve. With a view towards F-theory applications, we show how these divisors contribute to the enhancement of the Mordell-Weil group of the local elliptic fibration defined by Laufer's example.
hep-th math.AG
type iia on the conifold is a prototype example for engineering qed with one charged hypermultiplet the geometry admits a flop of length one in this paper we study the next generation of geometric engineering on singular geometries namely flops of length two such as laufers example which we affectionately think of as the itconifold 20 type iia on the latter geometry gives qed with highercharge states in type iib even a single d3probe gives rise to a nonabelian quiver gauge theory we study this class of geometries explicitly by leveraging their quiver description showing how to parametrize the exceptional curve how to see the flop transition and how to find the noncompact divisors intersecting the curve with a view towards ftheory applications we show how these divisors contribute to the enhancement of the mordellweil group of the local elliptic fibration defined by laufers example
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1,802.00814
Top-philic dark matter within and beyond the WIMP paradigm
We present a comprehensive analysis of top-philic Majorana dark matter that interacts via a colored t-channel mediator. Despite the simplicity of the model -- introducing three parameters only -- it provides an extremely rich phenomenology allowing us to accommodate the relic density for a large range of coupling strengths spanning over six orders of magnitude. This model features all `exceptional' mechanisms for dark matter freeze-out, including the recently discovered conversion-driven freeze-out mode, with interesting signatures of long-lived colored particles at colliders. We constrain the cosmologically allowed parameter space with current experimental limits from direct, indirect and collider searches, with special emphasis on light dark matter below the top mass. In particular, we explore the interplay between limits from Xenon1T, Fermi-LAT and AMS-02 as well as limits from stop, monojet and Higgs invisible decay searches at the LHC. We find that several blind spots for light dark matter evade current constraints. The region in parameter space where the relic density is set by the mechanism of conversion-driven freeze-out can be conclusively tested by R-hadron searches at the LHC with 300\,fb$^{-1}$.
hep-ph astro-ph.CO
we present a comprehensive analysis of topphilic majorana dark matter that interacts via a colored tchannel mediator despite the simplicity of the model introducing three parameters only it provides an extremely rich phenomenology allowing us to accommodate the relic density for a large range of coupling strengths spanning over six orders of magnitude this model features all exceptional mechanisms for dark matter freezeout including the recently discovered conversiondriven freezeout mode with interesting signatures of longlived colored particles at colliders we constrain the cosmologically allowed parameter space with current experimental limits from direct indirect and collider searches with special emphasis on light dark matter below the top mass in particular we explore the interplay between limits from xenon1t fermilat and ams02 as well as limits from stop monojet and higgs invisible decay searches at the lhc we find that several blind spots for light dark matter evade current constraints the region in parameter space where the relic density is set by the mechanism of conversiondriven freezeout can be conclusively tested by rhadron searches at the lhc with 300fb1
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1,802.00815
Numerically solving the relativistic Grad-Shafranov equation in Kerr spacetimes: Numerical techniques
The study of the electrodynamics of static, axisymmetric and force-free Kerr magnetospheres relies vastly on solutions of the so called relativistic Grad-Shafranov equation (GSE). Different numerical approaches to the solution of the GSE have been introduced in the literature, but none of them has been fully assessed from the numerical point of view in terms of efficiency and quality of the solutions found. We present a generalization of these algorithms and give detailed background on the algorithmic implementation. We assess the numerical stability of the implemented algorithms and quantify the convergence of the presented methodology for the most established setups (split-monopole, paraboloidal, BH-disk, uniform).
astro-ph.HE gr-qc
the study of the electrodynamics of static axisymmetric and forcefree kerr magnetospheres relies vastly on solutions of the so called relativistic gradshafranov equation gse different numerical approaches to the solution of the gse have been introduced in the literature but none of them has been fully assessed from the numerical point of view in terms of efficiency and quality of the solutions found we present a generalization of these algorithms and give detailed background on the algorithmic implementation we assess the numerical stability of the implemented algorithms and quantify the convergence of the presented methodology for the most established setups splitmonopole paraboloidal bhdisk uniform
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1,802.00816
Maximally Rotating Supermassive Stars at the Onset of Collapse: The Perturbative Effects of Gas Pressure, Magnetic Fields, Dark Matter and Dark Energy
The discovery of quasars at increasingly large cosmological redshifts may favor "direct collapse" as the most promising evolutionary route to the formation of supermassive black holes. In this scenario, supermassive black holes form when their progenitors - supermassive stars - become unstable to gravitational collapse. For uniformly rotating stars supported by pure radiation pressure and spinning at the mass-shedding limit, the critical configuration at the onset of collapse is characterized by universal values of the dimensionless spin and radius parameters $J/M^2$ and $R/M$, independent of mass $M$. We consider perturbative effects of gas pressure, magnetic fields, dark matter and dark energy on these parameters, and thereby determine the domain of validity of this universality. We obtain leading-order corrections for the critical parameters and establish their scaling with the relevant physical parameters. We compare two different approaches to approximate the effects of gas pressure, which plays the most important role, find identical results for the above dimensionless parameters, and also find good agreement with recent numerical results.
gr-qc astro-ph.CO astro-ph.HE
the discovery of quasars at increasingly large cosmological redshifts may favor direct collapse as the most promising evolutionary route to the formation of supermassive black holes in this scenario supermassive black holes form when their progenitors supermassive stars become unstable to gravitational collapse for uniformly rotating stars supported by pure radiation pressure and spinning at the massshedding limit the critical configuration at the onset of collapse is characterized by universal values of the dimensionless spin and radius parameters jm2 and rm independent of mass m we consider perturbative effects of gas pressure magnetic fields dark matter and dark energy on these parameters and thereby determine the domain of validity of this universality we obtain leadingorder corrections for the critical parameters and establish their scaling with the relevant physical parameters we compare two different approaches to approximate the effects of gas pressure which plays the most important role find identical results for the above dimensionless parameters and also find good agreement with recent numerical results
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1,802.00817
Gravitational Lensing of a star by a rotating black hole
The gravitational lensing of a finite star moving around a rotating Kerr black hole has been numerically calculated. Calculations for the direct image of the star and for the first and second light echoes have been performed for the star moving with an orbital period of 3.22 h around the supermassive black hole SgrA* at the Galactic Center. Time dependences for the observed star position on the celestial sphere, radiation flux from the star, frequency of detected radiation, major and minor semiaxes of the lensed star image have been calculated and plotted. The detailed observation of such lensing requires a space interferometer such as the Russian Millimetron project.
astro-ph.HE gr-qc
the gravitational lensing of a finite star moving around a rotating kerr black hole has been numerically calculated calculations for the direct image of the star and for the first and second light echoes have been performed for the star moving with an orbital period of 322 h around the supermassive black hole sgra at the galactic center time dependences for the observed star position on the celestial sphere radiation flux from the star frequency of detected radiation major and minor semiaxes of the lensed star image have been calculated and plotted the detailed observation of such lensing requires a space interferometer such as the russian millimetron project
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1,802.00818
Interacting Floquet topological phases in three dimensions
In two dimensions, interacting Floquet topological phases may arise even in the absence of any protecting symmetry, exhibiting chiral edge transport that is robust to local perturbations. We explore a similar class of Floquet topological phases in three dimensions, with translational invariance but no other symmetry, which also exhibit anomalous transport at a boundary surface. By studying the space of local 2D unitary operators, we show that the boundary behavior of such phases falls into equivalence classes, each characterized by an infinite set of reciprocal lattice vectors. In turn, this provides a classification of the 3D bulk, which we argue is complete. We demonstrate that such phases may be generated by exactly-solvable `exchange drives' in the bulk. In the process, we show that the edge behavior of a general exchange drive in two or three dimensions can be deduced from the geometric properties of its action in the bulk, a form of bulk-boundary correspondence.
cond-mat.str-el
in two dimensions interacting floquet topological phases may arise even in the absence of any protecting symmetry exhibiting chiral edge transport that is robust to local perturbations we explore a similar class of floquet topological phases in three dimensions with translational invariance but no other symmetry which also exhibit anomalous transport at a boundary surface by studying the space of local 2d unitary operators we show that the boundary behavior of such phases falls into equivalence classes each characterized by an infinite set of reciprocal lattice vectors in turn this provides a classification of the 3d bulk which we argue is complete we demonstrate that such phases may be generated by exactlysolvable exchange drives in the bulk in the process we show that the edge behavior of a general exchange drive in two or three dimensions can be deduced from the geometric properties of its action in the bulk a form of bulkboundary correspondence
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1,802.00819
Controllable Non-Markovianity for a Spin Qubit in Diamond
We present a flexible scheme to realize non-artificial non-Markovian dynamics of an electronic spin qubit, using a nitrogen-vacancy center in diamond where the inherent nitrogen spin serves as a regulator of the dynamics. By changing the population of the nitrogen spin, we show that we can smoothly tune the non-Markovianity of the electron spin's dynamic. Furthermore, we examine the decoherence dynamics induced by the spin bath to exclude other sources of non-Markovianity. The amount of collected measurement data is kept at a minimum by employing Bayesian data analysis. This allows for a precise quantification of the parameters involved in the description of the dynamics and a prediction of so far unobserved data points.
quant-ph
we present a flexible scheme to realize nonartificial nonmarkovian dynamics of an electronic spin qubit using a nitrogenvacancy center in diamond where the inherent nitrogen spin serves as a regulator of the dynamics by changing the population of the nitrogen spin we show that we can smoothly tune the nonmarkovianity of the electron spins dynamic furthermore we examine the decoherence dynamics induced by the spin bath to exclude other sources of nonmarkovianity the amount of collected measurement data is kept at a minimum by employing bayesian data analysis this allows for a precise quantification of the parameters involved in the description of the dynamics and a prediction of so far unobserved data points
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1,802.0082
Least squares estimation for path-distribution dependent stochastic differential equations
We study a least squares estimator for an unknown parameter in the drift coefficient of a path- distribution dependent stochastic differential equation involving a small dispersion parameter epsilon greater than zero. The estimator, based on n discrete time observations of the stochastic differential equation, is shown to be convergent weakly to the true value as epsilon goes to zero and n goes to infinity. This indicates that the least squares estimator obtained is consistent with the true value. Moreover, we obtain the rate of convergence and derive the asymptotic distribution of least squares estimator.
math.PR
we study a least squares estimator for an unknown parameter in the drift coefficient of a path distribution dependent stochastic differential equation involving a small dispersion parameter epsilon greater than zero the estimator based on n discrete time observations of the stochastic differential equation is shown to be convergent weakly to the true value as epsilon goes to zero and n goes to infinity this indicates that the least squares estimator obtained is consistent with the true value moreover we obtain the rate of convergence and derive the asymptotic distribution of least squares estimator
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1,802.00821
Review: Long-baseline oscillation experiments as a tool to probe High Energy Models
We review the current status of neutrino oscillation experiments, mainly focussed on T2(H)K, NO$\nu$A and DUNE. Their capability to probe high energy physics is found in the precision measurement of the CP phase and $\theta_{23}$. In general, neutrino mass models predicts correlations among the mixing angles that can be used to scan and shrink down its parameter space. We updated previous analysis and presents a list of models that contain such structure.
hep-ph
we review the current status of neutrino oscillation experiments mainly focussed on t2hk nonua and dune their capability to probe high energy physics is found in the precision measurement of the cp phase and theta_23 in general neutrino mass models predicts correlations among the mixing angles that can be used to scan and shrink down its parameter space we updated previous analysis and presents a list of models that contain such structure
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1,802.00822
VIBNN: Hardware Acceleration of Bayesian Neural Networks
Bayesian Neural Networks (BNNs) have been proposed to address the problem of model uncertainty in training and inference. By introducing weights associated with conditioned probability distributions, BNNs are capable of resolving the overfitting issue commonly seen in conventional neural networks and allow for small-data training, through the variational inference process. Frequent usage of Gaussian random variables in this process requires a properly optimized Gaussian Random Number Generator (GRNG). The high hardware cost of conventional GRNG makes the hardware implementation of BNNs challenging. In this paper, we propose VIBNN, an FPGA-based hardware accelerator design for variational inference on BNNs. We explore the design space for massive amount of Gaussian variable sampling tasks in BNNs. Specifically, we introduce two high performance Gaussian (pseudo) random number generators: the RAM-based Linear Feedback Gaussian Random Number Generator (RLF-GRNG), which is inspired by the properties of binomial distribution and linear feedback logics; and the Bayesian Neural Network-oriented Wallace Gaussian Random Number Generator. To achieve high scalability and efficient memory access, we propose a deep pipelined accelerator architecture with fast execution and good hardware utilization. Experimental results demonstrate that the proposed VIBNN implementations on an FPGA can achieve throughput of 321,543.4 Images/s and energy efficiency upto 52,694.8 Images/J while maintaining similar accuracy as its software counterpart.
cs.LG cs.AR stat.ML
bayesian neural networks bnns have been proposed to address the problem of model uncertainty in training and inference by introducing weights associated with conditioned probability distributions bnns are capable of resolving the overfitting issue commonly seen in conventional neural networks and allow for smalldata training through the variational inference process frequent usage of gaussian random variables in this process requires a properly optimized gaussian random number generator grng the high hardware cost of conventional grng makes the hardware implementation of bnns challenging in this paper we propose vibnn an fpgabased hardware accelerator design for variational inference on bnns we explore the design space for massive amount of gaussian variable sampling tasks in bnns specifically we introduce two high performance gaussian pseudo random number generators the rambased linear feedback gaussian random number generator rlfgrng which is inspired by the properties of binomial distribution and linear feedback logics and the bayesian neural networkoriented wallace gaussian random number generator to achieve high scalability and efficient memory access we propose a deep pipelined accelerator architecture with fast execution and good hardware utilization experimental results demonstrate that the proposed vibnn implementations on an fpga can achieve throughput of 3215434 imagess and energy efficiency upto 526948 imagesj while maintaining similar accuracy as its software counterpart
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1,802.00823
Asymptotic single-particle states and exact Lorentz-violating all-loop quantum corrections for scalar field theory
We perform the all-loop renormalization of the O($N$) $\lambda\phi^{4}$ scalar field theory with Lorentz violation which is exact in the Lorentz-violating $K_{\mu\nu}$ coefficients. This task is fulfilled analytically firstly explicitly at next-to-leading order and later at all loop levels through an induction process based on a general theorem emerging from the exact approach. We show that the exact results reduce to the approximated ones, previously obtained, in the appropriated limit and comment on their implications. The current exact calculation involving such a symmetry breaking mechanism in the referred theory is the first one in literature for our knowledge. At the end, we analyze the effect of Lorentz violation on the asymptotic single-particle states.
hep-th math-ph math.MP
we perform the allloop renormalization of the on lambdaphi4 scalar field theory with lorentz violation which is exact in the lorentzviolating k_munu coefficients this task is fulfilled analytically firstly explicitly at nexttoleading order and later at all loop levels through an induction process based on a general theorem emerging from the exact approach we show that the exact results reduce to the approximated ones previously obtained in the appropriated limit and comment on their implications the current exact calculation involving such a symmetry breaking mechanism in the referred theory is the first one in literature for our knowledge at the end we analyze the effect of lorentz violation on the asymptotic singleparticle states
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1,802.00824
Algorithm-Hardware Co-Optimization of the Memristor-Based Framework for Solving SOCP and Homogeneous QCQP Problems
A memristor crossbar, which is constructed with memristor devices, has the unique ability to change and memorize the state of each of its memristor elements. It also has other highly desirable features such as high density, low power operation and excellent scalability. Hence the memristor crossbar technology can potentially be utilized for developing low-complexity and high-scalability solution frameworks for solving a large class of convex optimization problems, which involve extensive matrix operations and have critical applications in multiple disciplines. This paper, as the first attempt towards this direction, proposes a novel memristor crossbar-based framework for solving two important convex optimization problems, i.e., second-order cone programming (SOCP) and homogeneous quadratically constrained quadratic programming (QCQP) problems. In this paper, the alternating direction method of multipliers (ADMM) is adopted. It splits the SOCP and homogeneous QCQP problems into sub-problems that involve the solution of linear systems, which could be effectively solved using the memristor crossbar in O(1) time complexity. The proposed algorithm is an iterative procedure that iterates a constant number of times. Therefore, algorithms to solve SOCP and homogeneous QCQP problems have pseudo-O(N) complexity, which is a significant reduction compared to the state-of-the-art software solvers (O(N^3.5) - O(N^4)).
cs.ET
a memristor crossbar which is constructed with memristor devices has the unique ability to change and memorize the state of each of its memristor elements it also has other highly desirable features such as high density low power operation and excellent scalability hence the memristor crossbar technology can potentially be utilized for developing lowcomplexity and highscalability solution frameworks for solving a large class of convex optimization problems which involve extensive matrix operations and have critical applications in multiple disciplines this paper as the first attempt towards this direction proposes a novel memristor crossbarbased framework for solving two important convex optimization problems ie secondorder cone programming socp and homogeneous quadratically constrained quadratic programming qcqp problems in this paper the alternating direction method of multipliers admm is adopted it splits the socp and homogeneous qcqp problems into subproblems that involve the solution of linear systems which could be effectively solved using the memristor crossbar in o1 time complexity the proposed algorithm is an iterative procedure that iterates a constant number of times therefore algorithms to solve socp and homogeneous qcqp problems have pseudoon complexity which is a significant reduction compared to the stateoftheart software solvers on35 on4
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1,802.00825
Analysis of models for viscoelastic wave propagation
We consider the problem of waves propagating in a viscoelastic solid. For the material properties of the solid we consider both classical and fractional differentiation in time versions of the Zener, Maxwell, and Voigt models, where the coupling of different models within the same solid are covered as well. Stability of each model is investigated in the Laplace domain, and these are then translated to time-domain estimates. With the use of semigroup theory, some time-domain results are also given which avoid using the Laplace transform and give sharper estimates. We take the time to develop and explain the theory necessary to understand the relation between the equations we solve in the Laplace domain and those in the time-domain which are written using the language of causal tempered distributions. Finally we offer some numerical experiments that highlight some of the differences between the models and how different parameters effect the results.
math.NA
we consider the problem of waves propagating in a viscoelastic solid for the material properties of the solid we consider both classical and fractional differentiation in time versions of the zener maxwell and voigt models where the coupling of different models within the same solid are covered as well stability of each model is investigated in the laplace domain and these are then translated to timedomain estimates with the use of semigroup theory some timedomain results are also given which avoid using the laplace transform and give sharper estimates we take the time to develop and explain the theory necessary to understand the relation between the equations we solve in the laplace domain and those in the timedomain which are written using the language of causal tempered distributions finally we offer some numerical experiments that highlight some of the differences between the models and how different parameters effect the results
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1,802.00826
Modelling of pulse train generation for resonant laser wakefield acceleration using a delay mask
A new method for the generation of a train of pulses from a single high-energy, ultra short pulse is presented, suited for Resonant Multi-Pulse Ionization injection. The method is based on different transverse portion of the pulse being delayed by a "mask" sectioned in concentric zones with different thicknesses, in order to deliver multiple laser pulses. The mask is placed right before the last focusing parabola. A hole in the middle of the mask lets part of the original pulse to pass through to drive electron injection. In this paper a full numerical modelling of this scheme is presented. In particular we discuss the spatial and temporal profile of the pulses emerging from the mask and how they are related to the radius and thickness of each section.
physics.acc-ph physics.plasm-ph
a new method for the generation of a train of pulses from a single highenergy ultra short pulse is presented suited for resonant multipulse ionization injection the method is based on different transverse portion of the pulse being delayed by a mask sectioned in concentric zones with different thicknesses in order to deliver multiple laser pulses the mask is placed right before the last focusing parabola a hole in the middle of the mask lets part of the original pulse to pass through to drive electron injection in this paper a full numerical modelling of this scheme is presented in particular we discuss the spatial and temporal profile of the pulses emerging from the mask and how they are related to the radius and thickness of each section
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1,802.00827
iHixs 2 - Inclusive Higgs Cross Sections
We present a new release of the program iHixs. This easy-to-use tool allows to derive state of the art predictions for the inclusive production cross section of a Higgs boson at hadron colliders in the gluon fusion production mode. This includes the most up-to-date corrections in perturbative QCD and electro-weak theory, effects due to finite quark masses as well as an option to perform threshold resummation. In particular, exact perturbative QCD corrections through N3LO are included in the heavy top quark effective theory. Furthermore, iHixs contains automatic routines that allow to assess residual uncertainties on the prediction for the Higgs boson production cross section according to well established standard definitions. iHixs can be obtained from https://github.com/dulatf/ihixs .
hep-ph hep-ex
we present a new release of the program ihixs this easytouse tool allows to derive state of the art predictions for the inclusive production cross section of a higgs boson at hadron colliders in the gluon fusion production mode this includes the most uptodate corrections in perturbative qcd and electroweak theory effects due to finite quark masses as well as an option to perform threshold resummation in particular exact perturbative qcd corrections through n3lo are included in the heavy top quark effective theory furthermore ihixs contains automatic routines that allow to assess residual uncertainties on the prediction for the higgs boson production cross section according to well established standard definitions ihixs can be obtained from httpsgithubcomdulatfihixs
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1,802.00828
Comparing multiple networks using the Co-expression Differential Network Analysis (CoDiNA)
Biomedical sciences are increasingly recognising the relevance of gene co-expression-networks for analysing complex-systems, phenotypes or diseases. When the goal is investigating complex-phenotypes under varying conditions, it comes naturally to employ comparative network methods. While approaches for comparing two networks exist, this is not the case for multiple networks. Here we present a method for the systematic comparison of an unlimited number of networks: Co-expression Differential Network Analysis (CoDiNA) for detecting links and nodes that are common, specific or different to the networks. Applying CoDiNA to a neurogenesis study identified genes for neuron differentiation. Experimentally overexpressing one candidate resulted in significant disturbance in the underlying neurogenesis' gene regulatory network. We compared data from adults and children with active tuberculosis to test for signatures of HIV. We also identified common and distinct network features for particular cancer types with CoDiNA. These studies show that CoDiNA successfully detects genes associated with the diseases.
stat.CO q-bio.MN stat.AP
biomedical sciences are increasingly recognising the relevance of gene coexpressionnetworks for analysing complexsystems phenotypes or diseases when the goal is investigating complexphenotypes under varying conditions it comes naturally to employ comparative network methods while approaches for comparing two networks exist this is not the case for multiple networks here we present a method for the systematic comparison of an unlimited number of networks coexpression differential network analysis codina for detecting links and nodes that are common specific or different to the networks applying codina to a neurogenesis study identified genes for neuron differentiation experimentally overexpressing one candidate resulted in significant disturbance in the underlying neurogenesis gene regulatory network we compared data from adults and children with active tuberculosis to test for signatures of hiv we also identified common and distinct network features for particular cancer types with codina these studies show that codina successfully detects genes associated with the diseases
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1,802.00829
Induced crystallization method of rapid metal melts 3d-printing
A solution for the most important problems in 3D printing technology (long print times, small build volumes and limited material properties) is proposed. Method is based on the fact that temperature of melts crystallization can be shifted up by pressure. Required pressure can be created by Ampere force caused by electric current in the melt flow. Magnetohydrodynamical model (with heat taken into account) is developed. It has been shown that additional heating of melt by this current can be overcome by appropriate choice of tunable parameters and introduction of some additional magnetic field. Range of parameters where this induced crystallization can take place is found.
physics.app-ph cond-mat.mtrl-sci
a solution for the most important problems in 3d printing technology long print times small build volumes and limited material properties is proposed method is based on the fact that temperature of melts crystallization can be shifted up by pressure required pressure can be created by ampere force caused by electric current in the melt flow magnetohydrodynamical model with heat taken into account is developed it has been shown that additional heating of melt by this current can be overcome by appropriate choice of tunable parameters and introduction of some additional magnetic field range of parameters where this induced crystallization can take place is found
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1,802.0083
Spectral Evidence for Amorphous Silicates in Least-processed CO Meteorites and Their Parent Bodies
Least-processed carbonaceous chondrites (carbonaceous chondrites that have experienced minimal aqueous alteration and thermal metamorphism) are characterized by their predominately amorphous iron-rich silicate interchondrule matrices and chondrule rims. The presence of abundant amorphous material in a meteorite indicates that the parent body, or at least a region of the parent body, experienced minimal processing since the time of accretion. The CO chemical group of carbonaceous chondrites has a significant number of these least-processed samples. We present visible/near-infrared and mid-infrared spectra of eight least-processed CO meteorites (petrologic type 3.0-3.1). In the visible/near-infrared, these COs are characterized by a broad weak feature that was first observed by Cloutis et al. (2012) to be at 1.3-um and attributed to iron-rich amorphous silicate matrix materials. This feature is observed to be centered at 1.4-um for terrestrially unweathered, least-processed CO meteorites. At mid-infrared wavelengths, a 21-um feature, consistent with Si-O vibrations of amorphous materials and glasses, is also present. This spectral signature is absent in both the near- and mid-infrared spectra of higher metamorphic grade COs because this material has recrystallized as crystalline olivine. Furthermore, spectra of least-processed primitive meteorites from other chemical groups (CRs, MET 00426 and QUE 99177, and C2-ungrouped Acfer 094), also exhibit a 21-um feature. Thus, we conclude that the 1.4- and 21-umm features are characteristic of primitive least-processed meteorites from all chemical groups of carbonaceous chondrites. Finally, we present an IRTF+SPeX observation of asteroid (93) Minerva that has spectral similarities in the visible/near-infrared to the least-processed CO carbonaceous chondrites. Minerva is likely the least-processed CO-like asteroid observed to date.
astro-ph.EP
leastprocessed carbonaceous chondrites carbonaceous chondrites that have experienced minimal aqueous alteration and thermal metamorphism are characterized by their predominately amorphous ironrich silicate interchondrule matrices and chondrule rims the presence of abundant amorphous material in a meteorite indicates that the parent body or at least a region of the parent body experienced minimal processing since the time of accretion the co chemical group of carbonaceous chondrites has a significant number of these leastprocessed samples we present visiblenearinfrared and midinfrared spectra of eight leastprocessed co meteorites petrologic type 3031 in the visiblenearinfrared these cos are characterized by a broad weak feature that was first observed by cloutis et al 2012 to be at 13um and attributed to ironrich amorphous silicate matrix materials this feature is observed to be centered at 14um for terrestrially unweathered leastprocessed co meteorites at midinfrared wavelengths a 21um feature consistent with sio vibrations of amorphous materials and glasses is also present this spectral signature is absent in both the near and midinfrared spectra of higher metamorphic grade cos because this material has recrystallized as crystalline olivine furthermore spectra of leastprocessed primitive meteorites from other chemical groups crs met 00426 and que 99177 and c2ungrouped acfer 094 also exhibit a 21um feature thus we conclude that the 14 and 21umm features are characteristic of primitive leastprocessed meteorites from all chemical groups of carbonaceous chondrites finally we present an irtfspex observation of asteroid 93 minerva that has spectral similarities in the visiblenearinfrared to the leastprocessed co carbonaceous chondrites minerva is likely the leastprocessed colike asteroid observed to date
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1,802.00831
Commuting planar polynomial vector fields for conservative Newton systems
We study the problem of characterizing polynomial vector fields that commute with a given polynomial vector field on a plane. It is a classical result that one can write down solution formulas for an ODE that corresponds to a planar vector field that possesses a linearly independent commuting vector field. This problem is also central to the question of linearizability of vector fields. Let $f \in K[x]$, where $K$ is a field of characteristic zero, and $d$ the derivation that corresponds to the differential equation $\ddot x = f(x)$ in a standard way. Let also $H$ be the Hamiltonian polynomial for $d$, that is $H=\frac{1}{2}y^2-\int{f(x)dx}$. It is known that the set of all polynomial derivations that commute with $d$ forms a $K[H]$-module $M_d$. In this paper, we show that, for every such $d$, the module $M_d$ is of rank $1$ if and only if $\text{deg}\; f\geqslant 2$. For example, the classical elliptic equation $\ddot x = 6x^2+a$, where $a \in \mathbb{C}$, falls into this category.
math.DS math.AC math.CA math.RA
we study the problem of characterizing polynomial vector fields that commute with a given polynomial vector field on a plane it is a classical result that one can write down solution formulas for an ode that corresponds to a planar vector field that possesses a linearly independent commuting vector field this problem is also central to the question of linearizability of vector fields let f in kx where k is a field of characteristic zero and d the derivation that corresponds to the differential equation ddot x fx in a standard way let also h be the hamiltonian polynomial for d that is hfrac12y2intfxdx it is known that the set of all polynomial derivations that commute with d forms a khmodule m_d in this paper we show that for every such d the module m_d is of rank 1 if and only if textdeg fgeqslant 2 for example the classical elliptic equation ddot x 6x2a where a in mathbbc falls into this category
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1,802.00832
Circumventing Magnetic Reciprocity: a Diode for Magnetic Fields
Lorentz reciprocity establishes a stringent relation between electromagnetic fields and their sources. For static magnetic fields, a relation between magnetic sources and fields can be drawn in analogy to the Green's reciprocity principle for electrostatics. Here we theoretically and experimentally show that a linear and isotropic electrically conductive material moving with constant velocity is able to circumvent the magnetic reciprocity principle and realize a diode for magnetic fields. This result is demonstrated by measuring an extremely asymmetric magnetic coupling between two coils that are located near a moving conductor. The possibility to generate controlled unidirectional magnetic couplings breaks down one of the most deeply-established relations in classical electromagnetism, namely that mutual inductances are symmetric. This result might provide novel possibilities for applications and technologies based on magnetically coupled elements.
physics.class-ph
lorentz reciprocity establishes a stringent relation between electromagnetic fields and their sources for static magnetic fields a relation between magnetic sources and fields can be drawn in analogy to the greens reciprocity principle for electrostatics here we theoretically and experimentally show that a linear and isotropic electrically conductive material moving with constant velocity is able to circumvent the magnetic reciprocity principle and realize a diode for magnetic fields this result is demonstrated by measuring an extremely asymmetric magnetic coupling between two coils that are located near a moving conductor the possibility to generate controlled unidirectional magnetic couplings breaks down one of the most deeplyestablished relations in classical electromagnetism namely that mutual inductances are symmetric this result might provide novel possibilities for applications and technologies based on magnetically coupled elements
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1,802.00833
Higgs Boson Production at Hadron Colliders at N3LO in QCD
We present the Higgs boson production cross section at Hadron colliders in the gluon fusion production mode through N3LO in perturbative QCD. Specifically, we work in an effective theory where the top quark is assumed to be infinitely heavy and all other quarks are considered to be massless. Our result is the first exact formula for a partonic hadron collider cross section at N3LO in perturbative QCD. Furthermore, this result represents the first analytic computation of a hadron collider cross section involving elliptic integrals. We derive numerical predictions for the Higgs boson cross section at the LHC. Previously this result was approximated by an expansion of the cross section around the production threshold of the Higgs boson and we compare our findings. Finally, we study the impact of our new result on the state of the art prediction for the Higgs boson cross section at the LHC.
hep-ph hep-th
we present the higgs boson production cross section at hadron colliders in the gluon fusion production mode through n3lo in perturbative qcd specifically we work in an effective theory where the top quark is assumed to be infinitely heavy and all other quarks are considered to be massless our result is the first exact formula for a partonic hadron collider cross section at n3lo in perturbative qcd furthermore this result represents the first analytic computation of a hadron collider cross section involving elliptic integrals we derive numerical predictions for the higgs boson cross section at the lhc previously this result was approximated by an expansion of the cross section around the production threshold of the higgs boson and we compare our findings finally we study the impact of our new result on the state of the art prediction for the higgs boson cross section at the lhc
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1,802.00834
A two-dimensional labile aether through homogenization
Homogenization in linear elliptic problems usually assumes coercivity of the accompanying Dirichlet form. In linear elasticity, coercivity is not ensured through mere (strong) ellipticity so that the usual estimates that render homogenization meaningful break down unless stronger assumptions, like very strong ellipticity, are put into place. Here, we demonstrate that a L^2-type homogenization process can still be performed, very strong ellipticity notwithstanding, for a specific two-phase two dimensional problem whose significance derives from prior work establishing that one can lose strong ellipticity in such a setting, provided that homogenization turns out to be meaningful.A striking consequence is that, in an elasto-dynamic setting, some two-phase homogenized laminate may support plane wave propagation in the direction of lamination on a bounded domain with Dirichlet boundary conditions, a possibility which does not exist for the associated two-phase microstructure at a fixed scale. Also, that material blocks longitudinal waves in the direction of lamination, thereby acting as a two-dimensional aether in the sense of e.g. Cauchy.
math.AP cond-mat.mtrl-sci
homogenization in linear elliptic problems usually assumes coercivity of the accompanying dirichlet form in linear elasticity coercivity is not ensured through mere strong ellipticity so that the usual estimates that render homogenization meaningful break down unless stronger assumptions like very strong ellipticity are put into place here we demonstrate that a l2type homogenization process can still be performed very strong ellipticity notwithstanding for a specific twophase two dimensional problem whose significance derives from prior work establishing that one can lose strong ellipticity in such a setting provided that homogenization turns out to be meaningfula striking consequence is that in an elastodynamic setting some twophase homogenized laminate may support plane wave propagation in the direction of lamination on a bounded domain with dirichlet boundary conditions a possibility which does not exist for the associated twophase microstructure at a fixed scale also that material blocks longitudinal waves in the direction of lamination thereby acting as a twodimensional aether in the sense of eg cauchy
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1,802.00835
A Novel Foward-PDE Approach as an Alternative to Empirical Mode Decomposition
In this paper we present a mathematical model of the Empirical Mode Decomposition (EMD). Although EMD is a powerful tool for signal processing, the algorithm itself lacks an appropriate theoretical basis. The interpolation and iteration processes involved in the EMD method have been obstacles for mathematical modelling. Here, we propose a novel forward heat equation approach to represent the mean envelope and sifting process. This new model can provide a better mathematical analysis of classical EMD as well as identifying its limitations. Our approach achieves a better performance for a "mode-mixing" signal as compared to the classical EMD approach and is more robust to noise. Furthermore, we discuss the ability of EMD to separate signals and possible improvements by adjusting parameters.
eess.SP
in this paper we present a mathematical model of the empirical mode decomposition emd although emd is a powerful tool for signal processing the algorithm itself lacks an appropriate theoretical basis the interpolation and iteration processes involved in the emd method have been obstacles for mathematical modelling here we propose a novel forward heat equation approach to represent the mean envelope and sifting process this new model can provide a better mathematical analysis of classical emd as well as identifying its limitations our approach achieves a better performance for a modemixing signal as compared to the classical emd approach and is more robust to noise furthermore we discuss the ability of emd to separate signals and possible improvements by adjusting parameters
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1,802.00836
Inspirals into a charged black hole
We model the quasicircular inspiral of a compact object into a more massive charged black hole. Extreme and intermediate mass-ratio inspirals are considered through a small mass-ratio approximation. Reissner-Nordstr$\ddot{\text{o}}$m spacetime is used to describe the charged black hole. The effect of radiation reaction on the smaller body is quantified through calculation of electromagnetic and gravitational energy fluxes via solution of Einstein's and Maxwell's equations. Inspiral trajectories are determined by matching the orbital energy decay rate to the rate of radiative energy dissipation. We observe that inspirals into a charged black hole evolve more rapidly than comparable inspirals into a neutral black hole. Through analysis of a variety of inspiral configurations, we conclude that electric charge is an important effect concerning gravitational wave observations when the charge exceeds the threshold $|Q|/M \gtrsim 0.071 \sqrt{\epsilon}$, where $\epsilon$ is the mass ratio.
gr-qc
we model the quasicircular inspiral of a compact object into a more massive charged black hole extreme and intermediate massratio inspirals are considered through a small massratio approximation reissnernordstrddottextom spacetime is used to describe the charged black hole the effect of radiation reaction on the smaller body is quantified through calculation of electromagnetic and gravitational energy fluxes via solution of einsteins and maxwells equations inspiral trajectories are determined by matching the orbital energy decay rate to the rate of radiative energy dissipation we observe that inspirals into a charged black hole evolve more rapidly than comparable inspirals into a neutral black hole through analysis of a variety of inspiral configurations we conclude that electric charge is an important effect concerning gravitational wave observations when the charge exceeds the threshold qm gtrsim 0071 sqrtepsilon where epsilon is the mass ratio
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1,802.00837
Shot noise as a probe of spin-correlated transport through single atoms
We address the shot noise in the tunneling current through a localized spin, pertaining to recent experiments on magnetic adatoms and single molecular magnets. We show that both uncorrelated and spin-correlated scattering processes contribute vitally to the noise spectrum. The spin-correlated scattering processes provide an additional contribution to the Landauer-B\"uttiker shot noise expression, accounting for correlations between the tunneling electrons and the localized spin moment. By calculating the Fano factor, we show that both super- and sub-Poissonian shot noise can be described within our approach. Our theory provides transparent insights to noise spectroscopy, consistent with recent experiments using local probing techniques on magnetic atoms.
cond-mat.mes-hall cond-mat.other cond-mat.stat-mech
we address the shot noise in the tunneling current through a localized spin pertaining to recent experiments on magnetic adatoms and single molecular magnets we show that both uncorrelated and spincorrelated scattering processes contribute vitally to the noise spectrum the spincorrelated scattering processes provide an additional contribution to the landauerbuttiker shot noise expression accounting for correlations between the tunneling electrons and the localized spin moment by calculating the fano factor we show that both super and subpoissonian shot noise can be described within our approach our theory provides transparent insights to noise spectroscopy consistent with recent experiments using local probing techniques on magnetic atoms
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1,802.00838
Nonequilibrium Kondo-vs-RKKY Scenarios in Nanoclusters
Ultrafast manipulations of magnetic phases are eliciting increasing attention from the scientific community, because potentially relevant to the understanding of nonequilibrium phase transitions and to novel technologies. Here, we focus on manipulations applied to magnetic impurities in metallic hosts. By considering small nanoring geometries, we show how currents can induce a dynamical switching between different types of exchange interactions in these systems. Our work thus opens a study window on nonequilibrium Doniach's magnetic phase diagrams, and time-dependent Kondo-vs-RKKY scenarios.
cond-mat.str-el
ultrafast manipulations of magnetic phases are eliciting increasing attention from the scientific community because potentially relevant to the understanding of nonequilibrium phase transitions and to novel technologies here we focus on manipulations applied to magnetic impurities in metallic hosts by considering small nanoring geometries we show how currents can induce a dynamical switching between different types of exchange interactions in these systems our work thus opens a study window on nonequilibrium doniachs magnetic phase diagrams and timedependent kondovsrkky scenarios
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1,802.00839
Entropic bounds between two thermal equilibrium states
The positivity conditions of the relative entropy between two thermal equilibrium states $\hat{\rho}_1$ and $\hat{\rho}_2$ are used to obtain upper and lower bounds for the subtraction of their entropies, the Helmholtz potential and the Gibbs potential of the two systems. These limits are expressed in terms of the mean values of the Hamiltonians, number operator, and temperature of the different systems. In particular, we discuss these limits for molecules which can be represented in terms of the Franck--Condon coefficients. We emphasize the case where the Hamiltonians belong to the same system at two different times $t$ and $t'$. Finally, these bounds are obtained for a general qubit system and for the harmonic oscillator with a time dependent frequency at two different times.
quant-ph
the positivity conditions of the relative entropy between two thermal equilibrium states hatrho_1 and hatrho_2 are used to obtain upper and lower bounds for the subtraction of their entropies the helmholtz potential and the gibbs potential of the two systems these limits are expressed in terms of the mean values of the hamiltonians number operator and temperature of the different systems in particular we discuss these limits for molecules which can be represented in terms of the franckcondon coefficients we emphasize the case where the hamiltonians belong to the same system at two different times t and t finally these bounds are obtained for a general qubit system and for the harmonic oscillator with a time dependent frequency at two different times
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1,802.0084
Preserved Structure Across Vector Space Representations
Certain concepts, words, and images are intuitively more similar than others (dog vs. cat, dog vs. spoon), though quantifying such similarity is notoriously difficult. Indeed, this kind of computation is likely a critical part of learning the category boundaries for words within a given language. Here, we use a set of 27 items (e.g. 'dog') that are highly common in infants' input, and use both image- and word-based algorithms to independently compute similarity among them. We find three key results. First, the pairwise item similarities derived within image-space and word-space are correlated, suggesting preserved structure among these extremely different representational formats. Second, the closest 'neighbors' for each item, within each space, showed significant overlap (e.g. both found 'egg' as a neighbor of 'apple'). Third, items with the most overlapping neighbors are later-learned by infants and toddlers. We conclude that this approach, which does not rely on human ratings of similarity, may nevertheless reflect stable within-class structure across these two spaces. We speculate that such invariance might aid lexical acquisition, by serving as an informative marker of category boundaries.
q-bio.NC cs.CL
certain concepts words and images are intuitively more similar than others dog vs cat dog vs spoon though quantifying such similarity is notoriously difficult indeed this kind of computation is likely a critical part of learning the category boundaries for words within a given language here we use a set of 27 items eg dog that are highly common in infants input and use both image and wordbased algorithms to independently compute similarity among them we find three key results first the pairwise item similarities derived within imagespace and wordspace are correlated suggesting preserved structure among these extremely different representational formats second the closest neighbors for each item within each space showed significant overlap eg both found egg as a neighbor of apple third items with the most overlapping neighbors are laterlearned by infants and toddlers we conclude that this approach which does not rely on human ratings of similarity may nevertheless reflect stable withinclass structure across these two spaces we speculate that such invariance might aid lexical acquisition by serving as an informative marker of category boundaries
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1,802.00841
Stabilization of Starobinsky-Vilenkin stochastic inflation by an environmental noise
We discuss the inflaton $\phi$ in an interaction with an infinite number of fields treated as an environment (noise) with a friction $\gamma^{2}>0$. In a Markovian approximation we obtain a stochastic wave equation (appearing also in the warm inflation models). After the replacement of the environment by the white noise, the stochastic wave equation violates the energy conservation if $\gamma\neq 0$. We introduce a dark energy as a compensation of the inflaton energy-momentum. We add to the classical wave equation the Starobinsky-Vilenkin noise which in the slow-roll approximation describes the quantum fluctuations in an expanding metric. We investigate the resulting consistent Einstein-Klein-Gordon system in the slow-roll regime. We obtain Fokker-Planck equation for the probability distribution of the inflaton assuming that the dependence of the scale factor $a$ and the Hubble variable $ H$ on the field $\phi$ is known. We obtain explicit stationary solutions of the Fokker-Planck equation assuming that $a(\phi)$ and $H(\phi)$ can approximately be determined in a slow-roll regime with the neglect of noise. We extend the results to the multifield D-dimensional configuration space. We show that in the regime $a(\phi)^{3}H(\phi)^{5}\rightarrow \infty$ the quantum noise determines the asymptotic behaviour of the stationary distribution. If $a(\phi)^{3}H(\phi)^{5}$ stays finite then the environmental noise ensures the integrability of the stationary probability. In such a case there is no need to introduce boundary conditions with the purpose to eliminate infinite inflation. The variation of $a(\phi)^{3}H(\phi)^{5}$ could be interpreted as a sign of a transition from cold inflation to warm inflation.
gr-qc hep-th
we discuss the inflaton phi in an interaction with an infinite number of fields treated as an environment noise with a friction gamma20 in a markovian approximation we obtain a stochastic wave equation appearing also in the warm inflation models after the replacement of the environment by the white noise the stochastic wave equation violates the energy conservation if gammaneq 0 we introduce a dark energy as a compensation of the inflaton energymomentum we add to the classical wave equation the starobinskyvilenkin noise which in the slowroll approximation describes the quantum fluctuations in an expanding metric we investigate the resulting consistent einsteinkleingordon system in the slowroll regime we obtain fokkerplanck equation for the probability distribution of the inflaton assuming that the dependence of the scale factor a and the hubble variable h on the field phi is known we obtain explicit stationary solutions of the fokkerplanck equation assuming that aphi and hphi can approximately be determined in a slowroll regime with the neglect of noise we extend the results to the multifield ddimensional configuration space we show that in the regime aphi3hphi5rightarrow infty the quantum noise determines the asymptotic behaviour of the stationary distribution if aphi3hphi5 stays finite then the environmental noise ensures the integrability of the stationary probability in such a case there is no need to introduce boundary conditions with the purpose to eliminate infinite inflation the variation of aphi3hphi5 could be interpreted as a sign of a transition from cold inflation to warm inflation
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1,802.00842
Voting patterns in 2016: Exploration using multilevel regression and poststratification (MRP) on pre-election polls
We analyzed 2012 and 2016 YouGov pre-election polls in order to understand how different population groups voted in the 2012 and 2016 elections. We broke the data down by demographics and state. We display our findings with a series of graphs and maps. The R code associated with this project is available at https://github.com/rtrangucci/mrp_2016_election/.
stat.AP econ.EM
we analyzed 2012 and 2016 yougov preelection polls in order to understand how different population groups voted in the 2012 and 2016 elections we broke the data down by demographics and state we display our findings with a series of graphs and maps the r code associated with this project is available at httpsgithubcomrtranguccimrp_2016_election
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1,802.00843
Uniform a priori estimates for positive solutions of the Lane-Emden equation in the plane
We prove that positive solutions of the Lane-Emden equation in a two-dimensional smooth bounded domain are uniformly bounded for all large exponents.
math.AP
we prove that positive solutions of the laneemden equation in a twodimensional smooth bounded domain are uniformly bounded for all large exponents
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1,802.00844
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Training deep neural networks results in strong learned representations that show good generalization capabilities. In most cases, training involves iterative modification of all weights inside the network via back-propagation. In Extreme Learning Machines, it has been suggested to set the first layer of a network to fixed random values instead of learning it. In this paper, we propose to take this approach a step further and fix almost all layers of a deep convolutional neural network, allowing only a small portion of the weights to be learned. As our experiments show, fixing even the majority of the parameters of the network often results in performance which is on par with the performance of learning all of them. The implications of this intriguing property of deep neural networks are discussed and we suggest ways to harness it to create more robust representations.
cs.LG cs.AI cs.CV
training deep neural networks results in strong learned representations that show good generalization capabilities in most cases training involves iterative modification of all weights inside the network via backpropagation in extreme learning machines it has been suggested to set the first layer of a network to fixed random values instead of learning it in this paper we propose to take this approach a step further and fix almost all layers of a deep convolutional neural network allowing only a small portion of the weights to be learned as our experiments show fixing even the majority of the parameters of the network often results in performance which is on par with the performance of learning all of them the implications of this intriguing property of deep neural networks are discussed and we suggest ways to harness it to create more robust representations
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1,802.00845
Periodic orbits in Large Eddy Simulation of Box Turbulence
We describe and compare two time-periodic flows embedded in Large Eddy Simulation (LES) of turbulence in a three-dimensional, periodic domain subject to constant external forcing. One of these flows models the regeneration of large-scale structures that was observed in this geometry by Yasuda et al. ({\sl Fluid Dyn. Res.} {\bf 46}, 061413, 2014), who used a smaller LES filter length and thus obtained a greater separation of scales of coherent motion. We speculate on the feasibility of modelling the regenerative dynamics with time-periodic solutions in such a flow, which may require novel techniques to deal with the extreme ill-conditioning of the associated boundary value problems.
physics.flu-dyn
we describe and compare two timeperiodic flows embedded in large eddy simulation les of turbulence in a threedimensional periodic domain subject to constant external forcing one of these flows models the regeneration of largescale structures that was observed in this geometry by yasuda et al sl fluid dyn res bf 46 061413 2014 who used a smaller les filter length and thus obtained a greater separation of scales of coherent motion we speculate on the feasibility of modelling the regenerative dynamics with timeperiodic solutions in such a flow which may require novel techniques to deal with the extreme illconditioning of the associated boundary value problems
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1,802.00846
Trapping Collapse
Weak potential wells (or traps) in one and two dimensions, and the potential wells slightly deeper than the critical ones in three dimensions, feature shallow bound states with localization length much larger than the well radii. We address a simple fundamental question of how many repulsively interacting bosons can be localized by such traps. We find that under rather generic conditions, for both weakly and strongly repulsive particles, in two and three dimensions--but not in one-dimension!--the potential well can trap infinitely many bosons. For example, even hard-core repulsive interactions do not prevent this "trapping collapse" phenomenon from taking place. For the weakly interacting/dilute regime, the effect can be revealed by the mean-field argument, while in the case of strong correlations the evidence comes from path-integral simulations. We also discuss the possibility of having a transition between the infinite and finite number of trapped particles when strong repulsive inter-particle correlations are increased.
cond-mat.quant-gas quant-ph
weak potential wells or traps in one and two dimensions and the potential wells slightly deeper than the critical ones in three dimensions feature shallow bound states with localization length much larger than the well radii we address a simple fundamental question of how many repulsively interacting bosons can be localized by such traps we find that under rather generic conditions for both weakly and strongly repulsive particles in two and three dimensionsbut not in onedimensionthe potential well can trap infinitely many bosons for example even hardcore repulsive interactions do not prevent this trapping collapse phenomenon from taking place for the weakly interactingdilute regime the effect can be revealed by the meanfield argument while in the case of strong correlations the evidence comes from pathintegral simulations we also discuss the possibility of having a transition between the infinite and finite number of trapped particles when strong repulsive interparticle correlations are increased
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1,802.00847
Efficient Nonlinear Transforms for Lossy Image Compression
We assess the performance of two techniques in the context of nonlinear transform coding with artificial neural networks, Sadam and GDN. Both techniques have been successfully used in state-of-the-art image compression methods, but their performance has not been individually assessed to this point. Together, the techniques stabilize the training procedure of nonlinear image transforms and increase their capacity to approximate the (unknown) rate-distortion optimal transform functions. Besides comparing their performance to established alternatives, we detail the implementation of both methods and provide open-source code along with the paper.
eess.IV
we assess the performance of two techniques in the context of nonlinear transform coding with artificial neural networks sadam and gdn both techniques have been successfully used in stateoftheart image compression methods but their performance has not been individually assessed to this point together the techniques stabilize the training procedure of nonlinear image transforms and increase their capacity to approximate the unknown ratedistortion optimal transform functions besides comparing their performance to established alternatives we detail the implementation of both methods and provide opensource code along with the paper
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1,802.00848
Gate tunable WSe2/SnSe2 backward diode with ultrahigh reverse rectification ratio
Backward diodes conduct more efficiently in the reverse bias than in the forward bias, providing superior high frequency response, temperature stability, radiation hardness, and 1/f noise performance than a conventional diode conducting in the forward direction. Here we demonstrate a van der Waals material based backward diode by exploiting the giant staggered band offsets of WSe2/SnSe2 vertical heterojunction. The diode exhibits an ultra-high reverse rectification ratio (R) of ~2.1x10^4 and the same is maintained up to an unusually large bias of 1.5 V - outperforming existing backward diode reports using conventional bulk semiconductors as well as one- and two-dimensional materials by more than an order of magnitude, while maintaining an impressive curvature coefficient ({\gamma}) of ~37 per V. The transport mechanism in the diode is shown to be efficiently tunable by external gate and drain bias, as well as by the thickness of the WSe2 layer and the type of metal contacts used. These results pave the way for practical electronic circuit applications using two-dimensional materials and their heterojunctions.
physics.app-ph cond-mat.mes-hall cond-mat.mtrl-sci
backward diodes conduct more efficiently in the reverse bias than in the forward bias providing superior high frequency response temperature stability radiation hardness and 1f noise performance than a conventional diode conducting in the forward direction here we demonstrate a van der waals material based backward diode by exploiting the giant staggered band offsets of wse2snse2 vertical heterojunction the diode exhibits an ultrahigh reverse rectification ratio r of 21x104 and the same is maintained up to an unusually large bias of 15 v outperforming existing backward diode reports using conventional bulk semiconductors as well as one and twodimensional materials by more than an order of magnitude while maintaining an impressive curvature coefficient gamma of 37 per v the transport mechanism in the diode is shown to be efficiently tunable by external gate and drain bias as well as by the thickness of the wse2 layer and the type of metal contacts used these results pave the way for practical electronic circuit applications using twodimensional materials and their heterojunctions
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1,802.00849
Stirling Numbers in Braid Matroid Kazhdan-Lusztig Polynomials
Restricted Whitney numbers of the first kind appear in the combinatorial recursion for the matroid Kazhdan-Lusztig polynomials. In the special case of braid matroids (the matroid associated to the partition lattice, the complete graph, the type A Coxeter arrangement and the symmetric group) these restricted Whitney numbers are Stirling numbers of the first kind. We use this observation to obtain a formula for the coefficients of the Kazhdan-Lusztig polynomials for braid matroids in terms of sums of products of Stirling numbers of the first kind. This results in new identities between Stirling numbers of the first kind and Stirling numbers of the second kind, as well as a non-recursive formula for the braid matroid Kazhdan-Lusztig polynomials.
math.CO
restricted whitney numbers of the first kind appear in the combinatorial recursion for the matroid kazhdanlusztig polynomials in the special case of braid matroids the matroid associated to the partition lattice the complete graph the type a coxeter arrangement and the symmetric group these restricted whitney numbers are stirling numbers of the first kind we use this observation to obtain a formula for the coefficients of the kazhdanlusztig polynomials for braid matroids in terms of sums of products of stirling numbers of the first kind this results in new identities between stirling numbers of the first kind and stirling numbers of the second kind as well as a nonrecursive formula for the braid matroid kazhdanlusztig polynomials
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1,802.0085
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
State-of-the-art computer codes for simulating real physical systems are often characterized by a vast number of input parameters. Performing uncertainty quantification (UQ) tasks with Monte Carlo (MC) methods is almost always infeasible because of the need to perform hundreds of thousands or even millions of forward model evaluations in order to obtain convergent statistics. One, thus, tries to construct a cheap-to-evaluate surrogate model to replace the forward model solver. For systems with large numbers of input parameters, one has to deal with the curse of dimensionality - the exponential increase in the volume of the input space, as the number of parameters increases linearly. In this work, we demonstrate the use of deep neural networks (DNN) to construct surrogate models for numerical simulators. We parameterize the structure of the DNN in a manner that lends the DNN surrogate the interpretation of recovering a low dimensional nonlinear manifold. The model response is a parameterized nonlinear function of the low dimensional projections of the input. We think of this low dimensional manifold as a nonlinear generalization of the notion of the active subspace. Our approach is demonstrated with a problem on uncertainty propagation in a stochastic elliptic partial differential equation (SPDE) with uncertain diffusion coefficient. We deviate from traditional formulations of the SPDE problem by not imposing a specific covariance structure on the random diffusion coefficient. Instead, we attempt to solve a more challenging problem of learning a map between an arbitrary snapshot of the diffusion field and the response.
physics.comp-ph cs.LG stat.ML
stateoftheart computer codes for simulating real physical systems are often characterized by a vast number of input parameters performing uncertainty quantification uq tasks with monte carlo mc methods is almost always infeasible because of the need to perform hundreds of thousands or even millions of forward model evaluations in order to obtain convergent statistics one thus tries to construct a cheaptoevaluate surrogate model to replace the forward model solver for systems with large numbers of input parameters one has to deal with the curse of dimensionality the exponential increase in the volume of the input space as the number of parameters increases linearly in this work we demonstrate the use of deep neural networks dnn to construct surrogate models for numerical simulators we parameterize the structure of the dnn in a manner that lends the dnn surrogate the interpretation of recovering a low dimensional nonlinear manifold the model response is a parameterized nonlinear function of the low dimensional projections of the input we think of this low dimensional manifold as a nonlinear generalization of the notion of the active subspace our approach is demonstrated with a problem on uncertainty propagation in a stochastic elliptic partial differential equation spde with uncertain diffusion coefficient we deviate from traditional formulations of the spde problem by not imposing a specific covariance structure on the random diffusion coefficient instead we attempt to solve a more challenging problem of learning a map between an arbitrary snapshot of the diffusion field and the response
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1,802.00851
Automated lattice data generation
The process of generating ensembles of gauge configurations (and measuring various observables over them) can be tedious and error-prone when done "by hand". In practice, most of this procedure can be automated with the use of a workflow manager. We discuss how this automation can be accomplished using Taxi, a minimal Python-based workflow manager built for generating lattice data. We present a case study demonstrating this technology.
hep-lat
the process of generating ensembles of gauge configurations and measuring various observables over them can be tedious and errorprone when done by hand in practice most of this procedure can be automated with the use of a workflow manager we discuss how this automation can be accomplished using taxi a minimal pythonbased workflow manager built for generating lattice data we present a case study demonstrating this technology
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1,802.00852
Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes
Inference on unknown quantities in dynamical systems via observational data is essential for providing meaningful insight, furnishing accurate predictions, enabling robust control, and establishing appropriate designs for future experiments. Merging mathematical theory with empirical measurements in a statistically coherent way is critical and challenges abound, e.g.,: ill-posedness of the parameter estimation problem, proper regularization and incorporation of prior knowledge, and computational limitations on full uncertainty qualification. To address these issues, we propose a new method for learning parameterized dynamical systems from data. In many ways, our proposal turns the canonical framework on its head. We first fit a surrogate stochastic process to observational data, enforcing prior knowledge (e.g., smoothness), and coping with challenging data features like heteroskedasticity, heavy tails and censoring. Then, samples of the stochastic process are used as "surrogate data" and point estimates are computed via ordinary point estimation methods in a modular fashion. An attractive feature of this approach is that it is fully Bayesian and simultaneously parallelizable. We demonstrate the advantages of our new approach on a predator prey simulation study and on a real world application involving within-host influenza virus infection data paired with a viral kinetic model.
stat.ME math.NA
inference on unknown quantities in dynamical systems via observational data is essential for providing meaningful insight furnishing accurate predictions enabling robust control and establishing appropriate designs for future experiments merging mathematical theory with empirical measurements in a statistically coherent way is critical and challenges abound eg illposedness of the parameter estimation problem proper regularization and incorporation of prior knowledge and computational limitations on full uncertainty qualification to address these issues we propose a new method for learning parameterized dynamical systems from data in many ways our proposal turns the canonical framework on its head we first fit a surrogate stochastic process to observational data enforcing prior knowledge eg smoothness and coping with challenging data features like heteroskedasticity heavy tails and censoring then samples of the stochastic process are used as surrogate data and point estimates are computed via ordinary point estimation methods in a modular fashion an attractive feature of this approach is that it is fully bayesian and simultaneously parallelizable we demonstrate the advantages of our new approach on a predator prey simulation study and on a real world application involving withinhost influenza virus infection data paired with a viral kinetic model
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1,802.00853
Incremental Classifier Learning with Generative Adversarial Networks
In this paper, we address the incremental classifier learning problem, which suffers from catastrophic forgetting. The main reason for catastrophic forgetting is that the past data are not available during learning. Typical approaches keep some exemplars for the past classes and use distillation regularization to retain the classification capability on the past classes and balance the past and new classes. However, there are four main problems with these approaches. First, the loss function is not efficient for classification. Second, there is unbalance problem between the past and new classes. Third, the size of pre-decided exemplars is usually limited and they might not be distinguishable from unseen new classes. Forth, the exemplars may not be allowed to be kept for a long time due to privacy regulations. To address these problems, we propose (a) a new loss function to combine the cross-entropy loss and distillation loss, (b) a simple way to estimate and remove the unbalance between the old and new classes , and (c) using Generative Adversarial Networks (GANs) to generate historical data and select representative exemplars during generation. We believe that the data generated by GANs have much less privacy issues than real images because GANs do not directly copy any real image patches. We evaluate the proposed method on CIFAR-100, Flower-102, and MS-Celeb-1M-Base datasets and extensive experiments demonstrate the effectiveness of our method.
cs.CV
in this paper we address the incremental classifier learning problem which suffers from catastrophic forgetting the main reason for catastrophic forgetting is that the past data are not available during learning typical approaches keep some exemplars for the past classes and use distillation regularization to retain the classification capability on the past classes and balance the past and new classes however there are four main problems with these approaches first the loss function is not efficient for classification second there is unbalance problem between the past and new classes third the size of predecided exemplars is usually limited and they might not be distinguishable from unseen new classes forth the exemplars may not be allowed to be kept for a long time due to privacy regulations to address these problems we propose a a new loss function to combine the crossentropy loss and distillation loss b a simple way to estimate and remove the unbalance between the old and new classes and c using generative adversarial networks gans to generate historical data and select representative exemplars during generation we believe that the data generated by gans have much less privacy issues than real images because gans do not directly copy any real image patches we evaluate the proposed method on cifar100 flower102 and msceleb1mbase datasets and extensive experiments demonstrate the effectiveness of our method
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1,802.00854
Raising the $\mathcal{PT}$ transition threshold by strong coupling to neutral chains
The $\mathcal{PT}$ symmetry breaking threshold in discrete realizations of systems with balanced gain and loss is determined by the effective coupling between the gain and loss sites. In one dimensional chains, this threshold is maximum when the two sites are closest to each other or the farthest. We investigate the fate of this threshold in the presence of parallel, strongly coupled, Hermitian (neutral) chains, and find that it is increased by a factor proportional to the number of neutral chains. We present numerical results and analytical arguments for this enhancement. We then consider the effects of adding neutral sites to $\mathcal{PT}$ symmetric dimer and trimer configurations and show that the threshold is more than doubled, or tripled by their presence. Our results provide a surprising way to engineer the $\mathcal{PT}$ threshold in experimentally accessible samples.
quant-ph
the mathcalpt symmetry breaking threshold in discrete realizations of systems with balanced gain and loss is determined by the effective coupling between the gain and loss sites in one dimensional chains this threshold is maximum when the two sites are closest to each other or the farthest we investigate the fate of this threshold in the presence of parallel strongly coupled hermitian neutral chains and find that it is increased by a factor proportional to the number of neutral chains we present numerical results and analytical arguments for this enhancement we then consider the effects of adding neutral sites to mathcalpt symmetric dimer and trimer configurations and show that the threshold is more than doubled or tripled by their presence our results provide a surprising way to engineer the mathcalpt threshold in experimentally accessible samples
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1,802.00855
Modeling Coating Flow and Surfactant Dynamics inside the Alveolar Compartment
We derive a new model for the coating flow inside the alveolar compartment, taking into account pulmonary surfactant production and recycling by Type 2 cells as well as its degradation. As the thickness of alveolar coating is much smaller than the average radius of the alveoli, we employ the classical lubrication approximation to describe the thin liquid film dynamics in the presence of pulmonary surfactant, which is a surface tension reducing agent and thus prevents the lungs from collapse. In the lubrication limit, we derive a degenerate system of two coupled parabolic partial differential equations that describe the time evolution of the thickness of the coating film inside the alveoli together with that of the surfactant concentration at the interface. We present numerical simulations using parameter values consistent with experimental measurements.
physics.med-ph cond-mat.soft
we derive a new model for the coating flow inside the alveolar compartment taking into account pulmonary surfactant production and recycling by type 2 cells as well as its degradation as the thickness of alveolar coating is much smaller than the average radius of the alveoli we employ the classical lubrication approximation to describe the thin liquid film dynamics in the presence of pulmonary surfactant which is a surface tension reducing agent and thus prevents the lungs from collapse in the lubrication limit we derive a degenerate system of two coupled parabolic partial differential equations that describe the time evolution of the thickness of the coating film inside the alveoli together with that of the surfactant concentration at the interface we present numerical simulations using parameter values consistent with experimental measurements
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1,802.00856
Non-universality of the adiabatic chiral magnetic effect in a clean Weyl semimetal slab
The adiabatic chiral magnetic effect (CME) is a phenomenon by which a slowly oscillating magnetic field applied to a conducting medium induces an electric current in the instantaneous direction of the field. Here we theoretically investigate the effect in a ballistic Weyl semimetal sample having the geometry of a slab. We discuss why in a general situation the bulk and the boundary contributions towards the CME are comparable. We show, however, that under certain conditions the adiabatic CME is dominated by the Fermi arc states at the boundary. We find that despite the topologically protected nature of the Fermi arcs, their contribution to the CME is neither related to any topological invariant nor can generally be calculated within the bulk low-energy effective theory framework. For certain types of boundary, however, the Fermi arcs contribution to the CME can be found from the effective low energy Weyl Hamiltonian and the scattering phase characterising the collision of a Weyl excitation with the boundary.
cond-mat.mes-hall
the adiabatic chiral magnetic effect cme is a phenomenon by which a slowly oscillating magnetic field applied to a conducting medium induces an electric current in the instantaneous direction of the field here we theoretically investigate the effect in a ballistic weyl semimetal sample having the geometry of a slab we discuss why in a general situation the bulk and the boundary contributions towards the cme are comparable we show however that under certain conditions the adiabatic cme is dominated by the fermi arc states at the boundary we find that despite the topologically protected nature of the fermi arcs their contribution to the cme is neither related to any topological invariant nor can generally be calculated within the bulk lowenergy effective theory framework for certain types of boundary however the fermi arcs contribution to the cme can be found from the effective low energy weyl hamiltonian and the scattering phase characterising the collision of a weyl excitation with the boundary
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1,802.00857
Impact of near-PT symmetry on exciting solitons and interactions based on a complex Ginzburg-Landau model
We present and theoretically report the influence of a class of near-parity-time-(PT-) symmetric potentials with spectral filtering parameter $\alpha_2$ and nonlinear gain-loss coefficient $\beta_2$ on solitons in the complex Ginzburg-Landau (CGL) equation. The potentials do not admit entirely-real linear spectra any more due to the existence of coefficients $\alpha_2$ or $\beta_2$. However, we find that most stable exact solitons can exist in the second quadrant of the $(\alpha_2, \beta_2)$ space, including on the corresponding axes. More intriguingly, the centrosymmetric two points in the $(\alpha_2, \beta_2)$ space possess imaginary-axis (longitudinal-axis) symmetric linear-stability spectra. Furthermore, an unstable nonlinear mode can be excited to another stable nonlinear mode by the adiabatic change of $\alpha_2$ and $\beta_2$. Other fascinating properties associated with the exact solitons are also examined in detail, such as the interactions and energy flux. These results are useful for the related experimental designs and applications.
nlin.PS hep-th quant-ph
we present and theoretically report the influence of a class of nearparitytimept symmetric potentials with spectral filtering parameter alpha_2 and nonlinear gainloss coefficient beta_2 on solitons in the complex ginzburglandau cgl equation the potentials do not admit entirelyreal linear spectra any more due to the existence of coefficients alpha_2 or beta_2 however we find that most stable exact solitons can exist in the second quadrant of the alpha_2 beta_2 space including on the corresponding axes more intriguingly the centrosymmetric two points in the alpha_2 beta_2 space possess imaginaryaxis longitudinalaxis symmetric linearstability spectra furthermore an unstable nonlinear mode can be excited to another stable nonlinear mode by the adiabatic change of alpha_2 and beta_2 other fascinating properties associated with the exact solitons are also examined in detail such as the interactions and energy flux these results are useful for the related experimental designs and applications
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1,802.00858
Hierarchical evolutive systems, fuzzy categories and the living single cell
In this article, the theory of hierarchical evolutive systems of Ehresmann and Vandremeersch [Bull. Math. Bio. 49, 13-50 (1987)] is improved by considering the categories of the theory as fuzzy sets whose elements are the composite objects formed by the arrows and corresponding vertices of their embedded graphs. This way each category can be represented as a point in the states space [0.1]**N. The introduction of a diffeomorphism, that acts in this context as a functor between categories, allows to define a measure preserving dynamical system. In particular, we apply this formalism to describe a living single cell. We propose for its state at a given time a hirerchical category with three levels (molecular, coarse-grained and cellular levels) related by adequate colimits. Each level involves the main functional and structural modules in which the cell can be partitioned. The time evolution of the cell is drived by a transformation which is a N-dimensional generalization of the Ricker map whose parameters we propose to be determined by requiring that, as hallmark of its behavior, the living cell to evolve at the edge of chaos. From the dynamical point of view this property manifests in the fact that the largest Lyapunov exponent is equal to zero. Since in a rather complete model of the living cell the huge number of involved parameters can make of the calculations a hard task, we also propose a toy model, with fewer parameters to be determined, which emphasizes the cellular fission.
q-bio.OT
in this article the theory of hierarchical evolutive systems of ehresmann and vandremeersch bull math bio 49 1350 1987 is improved by considering the categories of the theory as fuzzy sets whose elements are the composite objects formed by the arrows and corresponding vertices of their embedded graphs this way each category can be represented as a point in the states space 01n the introduction of a diffeomorphism that acts in this context as a functor between categories allows to define a measure preserving dynamical system in particular we apply this formalism to describe a living single cell we propose for its state at a given time a hirerchical category with three levels molecular coarsegrained and cellular levels related by adequate colimits each level involves the main functional and structural modules in which the cell can be partitioned the time evolution of the cell is drived by a transformation which is a ndimensional generalization of the ricker map whose parameters we propose to be determined by requiring that as hallmark of its behavior the living cell to evolve at the edge of chaos from the dynamical point of view this property manifests in the fact that the largest lyapunov exponent is equal to zero since in a rather complete model of the living cell the huge number of involved parameters can make of the calculations a hard task we also propose a toy model with fewer parameters to be determined which emphasizes the cellular fission
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1,802.00859
Seeds of Life in Space (SOLIS). III. Zooming into the methanol peak of the pre-stellar core L1544
Towards the pre-stellar core L1544, the methanol (CH$_3$OH) emission forms an asymmetric ring around the core centre, where CH$_3$OH is mostly in solid form, with a clear peak 4000~au to the north-east of the dust continuum peak. As part of the NOEMA Large Project SOLIS (Seeds of Life in Space), the CH$_3$OH peak has been spatially resolved to study its kinematics and physical structure and to investigate the cause behind the local enhancement. We find that methanol emission is distributed in a ridge parallel to the main axis of the dense core. The centroid velocity increases by about 0.2~km~s$^{-1}$ and the velocity dispersion increases from subsonic to transonic towards the central zone of the core, where the velocity field also shows complex structure. This could be indication of gentle accretion of material onto the core or interaction of two filaments, producing a slow shock. We measure the rotational temperature and show that methanol is in local thermodynamic equilibrium (LTE) only close to the dust peak, where it is significantly depleted. The CH$_3$OH column density, $N_{tot}({\rm CH_3OH})$, profile has been derived with non-LTE radiative transfer modelling and compared with chemical models of a static core. The measured $N_{tot}({\rm CH_3OH})$ profile is consistent with model predictions, but the total column densities are one order of magnitude lower than those predicted by models, suggesting that the efficiency of reactive desorption or atomic hydrogen tunnelling adopted in the model may be overestimated; or that an evolutionary model is needed to better reproduce methanol abundance.
astro-ph.GA astro-ph.SR
towards the prestellar core l1544 the methanol ch_3oh emission forms an asymmetric ring around the core centre where ch_3oh is mostly in solid form with a clear peak 4000au to the northeast of the dust continuum peak as part of the noema large project solis seeds of life in space the ch_3oh peak has been spatially resolved to study its kinematics and physical structure and to investigate the cause behind the local enhancement we find that methanol emission is distributed in a ridge parallel to the main axis of the dense core the centroid velocity increases by about 02kms1 and the velocity dispersion increases from subsonic to transonic towards the central zone of the core where the velocity field also shows complex structure this could be indication of gentle accretion of material onto the core or interaction of two filaments producing a slow shock we measure the rotational temperature and show that methanol is in local thermodynamic equilibrium lte only close to the dust peak where it is significantly depleted the ch_3oh column density n_totrm ch_3oh profile has been derived with nonlte radiative transfer modelling and compared with chemical models of a static core the measured n_totrm ch_3oh profile is consistent with model predictions but the total column densities are one order of magnitude lower than those predicted by models suggesting that the efficiency of reactive desorption or atomic hydrogen tunnelling adopted in the model may be overestimated or that an evolutionary model is needed to better reproduce methanol abundance
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