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1,803.07867
Transit Photometry as an Exoplanet Discovery Method
Photometry with the transit method has arguably been the most successful exoplanet discovery method to date. A short overview about the rise of that method to its present status is given. The method's strength is the rich set of parameters that can be obtained from transiting planets, in particular in combination with radial velocity observations; the basic principles of these parameters are given, with explicit formulations for the transit detection probability and the times of transit epochs in comparison to radial velocity epochs. The transit method has however also drawbacks, which are the low probability of properly aligned planet systems and the presence of astrophysical phenomena that may mimic transits and give rise to false detection positives. In the second part, we outline the main factors that determine the design of transit surveys, such as the size of the survey sample, the temporal coverage, the photometric precision, the sample brightness and the methods to extract transit events from observed light curves. Lastly, an overview over past, current, and future transit surveys is given. For these surveys we indicate their basic instrument configuration and their planet catch, including the ranges of planet sizes and stellar magnitudes that were encountered. Current and future transit detection experiments concentrate primarily on bright or special targets, and we expect that the transit method remains a principal driver of exoplanet science, through new discoveries to be made and through the development of new generations of instruments.
astro-ph.EP
photometry with the transit method has arguably been the most successful exoplanet discovery method to date a short overview about the rise of that method to its present status is given the methods strength is the rich set of parameters that can be obtained from transiting planets in particular in combination with radial velocity observations the basic principles of these parameters are given with explicit formulations for the transit detection probability and the times of transit epochs in comparison to radial velocity epochs the transit method has however also drawbacks which are the low probability of properly aligned planet systems and the presence of astrophysical phenomena that may mimic transits and give rise to false detection positives in the second part we outline the main factors that determine the design of transit surveys such as the size of the survey sample the temporal coverage the photometric precision the sample brightness and the methods to extract transit events from observed light curves lastly an overview over past current and future transit surveys is given for these surveys we indicate their basic instrument configuration and their planet catch including the ranges of planet sizes and stellar magnitudes that were encountered current and future transit detection experiments concentrate primarily on bright or special targets and we expect that the transit method remains a principal driver of exoplanet science through new discoveries to be made and through the development of new generations of instruments
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1,803.07868
Scalable Generalized Dynamic Topic Models
Dynamic topic models (DTMs) model the evolution of prevalent themes in literature, online media, and other forms of text over time. DTMs assume that word co-occurrence statistics change continuously and therefore impose continuous stochastic process priors on their model parameters. These dynamical priors make inference much harder than in regular topic models, and also limit scalability. In this paper, we present several new results around DTMs. First, we extend the class of tractable priors from Wiener processes to the generic class of Gaussian processes (GPs). This allows us to explore topics that develop smoothly over time, that have a long-term memory or are temporally concentrated (for event detection). Second, we show how to perform scalable approximate inference in these models based on ideas around stochastic variational inference and sparse Gaussian processes. This way we can train a rich family of DTMs to massive data. Our experiments on several large-scale datasets show that our generalized model allows us to find interesting patterns that were not accessible by previous approaches.
stat.ML cs.LG
dynamic topic models dtms model the evolution of prevalent themes in literature online media and other forms of text over time dtms assume that word cooccurrence statistics change continuously and therefore impose continuous stochastic process priors on their model parameters these dynamical priors make inference much harder than in regular topic models and also limit scalability in this paper we present several new results around dtms first we extend the class of tractable priors from wiener processes to the generic class of gaussian processes gps this allows us to explore topics that develop smoothly over time that have a longterm memory or are temporally concentrated for event detection second we show how to perform scalable approximate inference in these models based on ideas around stochastic variational inference and sparse gaussian processes this way we can train a rich family of dtms to massive data our experiments on several largescale datasets show that our generalized model allows us to find interesting patterns that were not accessible by previous approaches
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1,803.07869
Nucleation at quantized vortices and the heterogeneous phase separation in supersaturated superfluid 3He-4He liquid mixtures
Supersaturated superfluid 3He-4He liquid mixture, separating into the 3He-concentrated c-phase and 3He-diluted d-phase, represents a unique possibility for studying macroscopic quantum nucleation and quantum phase-separation kinetics in binary mixtures at low temperatures down to absolute zero. One of possible heterogeneous mechanisms for the phase separation of supersaturated d-phase is associated with superfluidity of this phase and with a possible existence of quantized vortices playing a role of nucleation sites for the c-phase of liquid mixture. We analyze the growth dynamics of vortex core filled with the c-phase and determine the temperature behavior of c-phase nucleation rate and the crossover temperature between the classical and quantum nucleation mechanisms.
cond-mat.other
supersaturated superfluid 3he4he liquid mixture separating into the 3heconcentrated cphase and 3hediluted dphase represents a unique possibility for studying macroscopic quantum nucleation and quantum phaseseparation kinetics in binary mixtures at low temperatures down to absolute zero one of possible heterogeneous mechanisms for the phase separation of supersaturated dphase is associated with superfluidity of this phase and with a possible existence of quantized vortices playing a role of nucleation sites for the cphase of liquid mixture we analyze the growth dynamics of vortex core filled with the cphase and determine the temperature behavior of cphase nucleation rate and the crossover temperature between the classical and quantum nucleation mechanisms
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1,803.0787
Reservoir computing approaches for representation and classification of multivariate time series
Classification of multivariate time series (MTS) has been tackled with a large variety of methodologies and applied to a wide range of scenarios. Reservoir Computing (RC) provides efficient tools to generate a vectorial, fixed-size representation of the MTS that can be further processed by standard classifiers. Despite their unrivaled training speed, MTS classifiers based on a standard RC architecture fail to achieve the same accuracy of fully trainable neural networks. In this paper we introduce the reservoir model space, an unsupervised approach based on RC to learn vectorial representations of MTS. Each MTS is encoded within the parameters of a linear model trained to predict a low-dimensional embedding of the reservoir dynamics. Compared to other RC methods, our model space yields better representations and attains comparable computational performance, thanks to an intermediate dimensionality reduction procedure. As a second contribution we propose a modular RC framework for MTS classification, with an associated open-source Python library. The framework provides different modules to seamlessly implement advanced RC architectures. The architectures are compared to other MTS classifiers, including deep learning models and time series kernels. Results obtained on benchmark and real-world MTS datasets show that RC classifiers are dramatically faster and, when implemented using our proposed representation, also achieve superior classification accuracy.
cs.NE
classification of multivariate time series mts has been tackled with a large variety of methodologies and applied to a wide range of scenarios reservoir computing rc provides efficient tools to generate a vectorial fixedsize representation of the mts that can be further processed by standard classifiers despite their unrivaled training speed mts classifiers based on a standard rc architecture fail to achieve the same accuracy of fully trainable neural networks in this paper we introduce the reservoir model space an unsupervised approach based on rc to learn vectorial representations of mts each mts is encoded within the parameters of a linear model trained to predict a lowdimensional embedding of the reservoir dynamics compared to other rc methods our model space yields better representations and attains comparable computational performance thanks to an intermediate dimensionality reduction procedure as a second contribution we propose a modular rc framework for mts classification with an associated opensource python library the framework provides different modules to seamlessly implement advanced rc architectures the architectures are compared to other mts classifiers including deep learning models and time series kernels results obtained on benchmark and realworld mts datasets show that rc classifiers are dramatically faster and when implemented using our proposed representation also achieve superior classification accuracy
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1,803.07871
Cosmic Ray Propagation in Turbulent Spiral Magnetic Fields associated with Young Stellar Objects
External cosmic rays impinging upon circumstellar disks associated with young stellar objects provide an important source of ionization, and as such, play an important role in disk evolution and planet formation. However, these incoming cosmic rays are affected by a variety of physical processes internal to stellar/disk systems, including modulation by turbulent magnetic fields. Globally, these fields naturally provide both a funneling effect, where cosmic rays from larger volumes are focused into the disk region, and a magnetic mirroring effect, where cosmic rays are repelled due to the increasing field strength. This paper considers cosmic ray propagation in the presence of a turbulent spiral magnetic field, analogous to that produced by the Solar wind. The interaction of this wind with the interstellar medium defines a transition radius, analogous to the Heliopause, which provides the outer boundary to this problem. We construct a new coordinate system where one coordinate follows the spiral magnetic field lines and consider magnetic perturbations to the field in the perpendicular directions. The presence of magnetic turbulence replaces the mirroring points with a distribution of values and moves the mean location outward. Our results thus help quantify the degree to which cosmic ray fluxes are reduced in circumstellar disks by the presence of magnetic field structures that are shaped by stellar winds. The new coordinate system constructed herein should also be useful in other astronomical applications.
astro-ph.HE
external cosmic rays impinging upon circumstellar disks associated with young stellar objects provide an important source of ionization and as such play an important role in disk evolution and planet formation however these incoming cosmic rays are affected by a variety of physical processes internal to stellardisk systems including modulation by turbulent magnetic fields globally these fields naturally provide both a funneling effect where cosmic rays from larger volumes are focused into the disk region and a magnetic mirroring effect where cosmic rays are repelled due to the increasing field strength this paper considers cosmic ray propagation in the presence of a turbulent spiral magnetic field analogous to that produced by the solar wind the interaction of this wind with the interstellar medium defines a transition radius analogous to the heliopause which provides the outer boundary to this problem we construct a new coordinate system where one coordinate follows the spiral magnetic field lines and consider magnetic perturbations to the field in the perpendicular directions the presence of magnetic turbulence replaces the mirroring points with a distribution of values and moves the mean location outward our results thus help quantify the degree to which cosmic ray fluxes are reduced in circumstellar disks by the presence of magnetic field structures that are shaped by stellar winds the new coordinate system constructed herein should also be useful in other astronomical applications
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1,803.07872
A differential game with exit costs
We study a differential game where two players separately control their own dynamics, pay a running cost, and moreover pay an exit cost (quitting the game) when they leave a fixed domain. In particular, each player has its own domain and the exit cost consists of three different exit costs, depending whether either the first player only leaves its domain, or the second player only leaves its domain, or they both simultaneously leave their own domain. We prove that, under suitable hypotheses, the lower and upper value are continuous and are, respectively, the unique viscosity solution of a suitable Dirichlet problem for a Hamilton-Jacobi-Isaacs equation. The continuity of the values relies on the existence of suitable non-anticipating strategies respecting the domain-constraint. This problem is also treated in this work.
math.OC
we study a differential game where two players separately control their own dynamics pay a running cost and moreover pay an exit cost quitting the game when they leave a fixed domain in particular each player has its own domain and the exit cost consists of three different exit costs depending whether either the first player only leaves its domain or the second player only leaves its domain or they both simultaneously leave their own domain we prove that under suitable hypotheses the lower and upper value are continuous and are respectively the unique viscosity solution of a suitable dirichlet problem for a hamiltonjacobiisaacs equation the continuity of the values relies on the existence of suitable nonanticipating strategies respecting the domainconstraint this problem is also treated in this work
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1,803.07873
Gamma Ray Bursts. Progenitors, accretion in the central engine, jet acceleration mechanisms
The collapsar model was proposed to explain the long-duration gamma-ray bursts (GRBs), while the short GRBs are associated with the mergers of compact objects. In the first case, mainly the energetics of the events is consistent with the proposed progenitor models, while the duration, time variability, as well as the afterglow emission may shed some light on the detailed properties of the collapsing massive stars. In the latter case, the recent discovery of the binary neutron star (NS-NS) merger in the gravitational wave observation made by LIGO (GW170817), and the detection of associated electromagnetic counterparts, for the first time gave a direct proof of the NS-NS merger being a progenitor of a short GRB. In general, all GRBs are believed to be powered by accretion through a rotationally supported torus, or by fast rotation of a compact object. For long ones, the rotation of the progenitor star is a key property in order to support accretion over relatively long activity periods, and also to sustain the rotation of the black hole itself. The latter is responsible for ejection of the relativistic jets, which are powered due to the extraction of the BH rotational energy, mitigated by the accretion torus and magnetic fields. The jets must break through the stellar envelope though, which poses a question on the efficiency of this process. Similar mechanisms of powering the jet ejection may act in short GRBs, which in this case may freely propagate through the interstellar medium. The power of the jets launched from the rotating black hole is at first associated mostly with the magnetic Poynting flux, and then at large distances it is transferred to the kinetic and finally radiative energy of the expanding shells.
astro-ph.HE
the collapsar model was proposed to explain the longduration gammaray bursts grbs while the short grbs are associated with the mergers of compact objects in the first case mainly the energetics of the events is consistent with the proposed progenitor models while the duration time variability as well as the afterglow emission may shed some light on the detailed properties of the collapsing massive stars in the latter case the recent discovery of the binary neutron star nsns merger in the gravitational wave observation made by ligo gw170817 and the detection of associated electromagnetic counterparts for the first time gave a direct proof of the nsns merger being a progenitor of a short grb in general all grbs are believed to be powered by accretion through a rotationally supported torus or by fast rotation of a compact object for long ones the rotation of the progenitor star is a key property in order to support accretion over relatively long activity periods and also to sustain the rotation of the black hole itself the latter is responsible for ejection of the relativistic jets which are powered due to the extraction of the bh rotational energy mitigated by the accretion torus and magnetic fields the jets must break through the stellar envelope though which poses a question on the efficiency of this process similar mechanisms of powering the jet ejection may act in short grbs which in this case may freely propagate through the interstellar medium the power of the jets launched from the rotating black hole is at first associated mostly with the magnetic poynting flux and then at large distances it is transferred to the kinetic and finally radiative energy of the expanding shells
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1,803.07874
Joint Power and Trajectory Design for Physical-Layer Secrecy in the UAV-Aided Mobile Relaying System
Mobile relaying is emerged as a promising technique to assist wireless communication, driven by the rapid development of unmanned aerial vehicles (UAVs). In this paper, we study secure transmission in a four-node (source, destination, mobile relay, and eavesdropper) system, wherein we focus on maximizing the secrecy rate via jointly optimizing the relay trajectory and the source/relay transmit power. Nevertheless, due to the coupling of the trajectory designing and the power allocating, the secrecy rate maximization (SRM) problem is intractable to solve. Accordingly, we propose an alternating optimization (AO) approach, wherein the trajectory designing and the power allocating are tackled in an alternating manner. Unfortunately, the trajectory designing is a nonconvex problem, and thus is still hard to solve. To circumvent the nonconvexity, we exploit sequential convex programming (SCP) to derive an iterative algorithm, which is proven to converge to a Karush-Kuhn-Tucker (KKT) point of the trajectory design problem. The simulation results demonstrate the efficacy of the joint power and trajectory design in improving the secrecy throughput.
cs.IT math.IT
mobile relaying is emerged as a promising technique to assist wireless communication driven by the rapid development of unmanned aerial vehicles uavs in this paper we study secure transmission in a fournode source destination mobile relay and eavesdropper system wherein we focus on maximizing the secrecy rate via jointly optimizing the relay trajectory and the sourcerelay transmit power nevertheless due to the coupling of the trajectory designing and the power allocating the secrecy rate maximization srm problem is intractable to solve accordingly we propose an alternating optimization ao approach wherein the trajectory designing and the power allocating are tackled in an alternating manner unfortunately the trajectory designing is a nonconvex problem and thus is still hard to solve to circumvent the nonconvexity we exploit sequential convex programming scp to derive an iterative algorithm which is proven to converge to a karushkuhntucker kkt point of the trajectory design problem the simulation results demonstrate the efficacy of the joint power and trajectory design in improving the secrecy throughput
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1,803.07875
Disruption of Saturn's Quasi-Periodic Equatorial Oscillation by the Great Northern Storm
Observations of planets throughout our Solar System have revealed that the Earth is not alone in possessing natural, inter-annual atmospheric cycles. The equatorial middle atmospheres of the Earth, Jupiter and Saturn all exhibit a remarkably similar phenomenon - a vertical, cyclic pattern of alternating temperatures and zonal (east-west) wind regimes that propagate slowly downwards with a well-defined multi-Earth-year period. Earth's Quasi-Biennial Oscillation (QBO, observed in the lower stratospheres with an average period of 28 months) is one of the most regular, repeatable cycles exhibited by our climate system, and yet recent work has shown that this regularity can be disrupted by events occurring far away from the equatorial region, an example of a phenomenon known as atmospheric teleconnection. Here we reveal that Saturn's equatorial Quasi-Periodic Oscillation (QPO, with a ~15-year period) can also be dramatically perturbed. An intense springtime storm erupted at Saturn's northern mid-latitudes in December 2010, spawning a gigantic hot vortex in the stratosphere at $40^\circ$N that persisted for 3 years. Far from the storm, the Cassini temperature measurements showed a dramatic $\sim10$-K cooling in the 0.5-5 mbar range across the entire equatorial region, disrupting the regular QPO pattern and significantly altering the middle-atmospheric wind structure, suggesting an injection of westward momentum into the equatorial wind system from waves generated by the northern storm. Hence, as on Earth, meteorological activity at mid-latitudes can have a profound effect on the regular atmospheric cycles in the tropics, demonstrating that waves can provide horizontal teleconnections between the phenomena shaping the middle atmospheres of giant planets.
astro-ph.EP
observations of planets throughout our solar system have revealed that the earth is not alone in possessing natural interannual atmospheric cycles the equatorial middle atmospheres of the earth jupiter and saturn all exhibit a remarkably similar phenomenon a vertical cyclic pattern of alternating temperatures and zonal eastwest wind regimes that propagate slowly downwards with a welldefined multiearthyear period earths quasibiennial oscillation qbo observed in the lower stratospheres with an average period of 28 months is one of the most regular repeatable cycles exhibited by our climate system and yet recent work has shown that this regularity can be disrupted by events occurring far away from the equatorial region an example of a phenomenon known as atmospheric teleconnection here we reveal that saturns equatorial quasiperiodic oscillation qpo with a 15year period can also be dramatically perturbed an intense springtime storm erupted at saturns northern midlatitudes in december 2010 spawning a gigantic hot vortex in the stratosphere at 40circn that persisted for 3 years far from the storm the cassini temperature measurements showed a dramatic sim10k cooling in the 055 mbar range across the entire equatorial region disrupting the regular qpo pattern and significantly altering the middleatmospheric wind structure suggesting an injection of westward momentum into the equatorial wind system from waves generated by the northern storm hence as on earth meteorological activity at midlatitudes can have a profound effect on the regular atmospheric cycles in the tropics demonstrating that waves can provide horizontal teleconnections between the phenomena shaping the middle atmospheres of giant planets
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1,803.07876
Elastic backbone defines a new transition in the percolation model
The elastic backbone is the set of all shortest paths. We found a new phase transition at $p_{eb}$ above the classical percolation threshold at which the elastic backbone becomes dense. At this transition in $2d$ its fractal dimension is $1.750\pm 0.003$, and one obtains a novel set of critical exponents $\beta_{eb} = 0.50\pm 0.02$, $\gamma_{eb} = 1.97\pm 0.05$, and $\nu_{eb} = 2.00\pm 0.02$ fulfilling consistent critical scaling laws. Interestingly, however, the hyperscaling relation is violated. Using Binder's cumulant, we determine, with high precision, the critical probabilities $p_{eb}$ for the triangular and tilted square lattice for site and bond percolation. This transition describes a sudden rigidification as a function of density when stretching a damaged tissue.
cond-mat.stat-mech
the elastic backbone is the set of all shortest paths we found a new phase transition at p_eb above the classical percolation threshold at which the elastic backbone becomes dense at this transition in 2d its fractal dimension is 1750pm 0003 and one obtains a novel set of critical exponents beta_eb 050pm 002 gamma_eb 197pm 005 and nu_eb 200pm 002 fulfilling consistent critical scaling laws interestingly however the hyperscaling relation is violated using binders cumulant we determine with high precision the critical probabilities p_eb for the triangular and tilted square lattice for site and bond percolation this transition describes a sudden rigidification as a function of density when stretching a damaged tissue
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1,803.07877
A Case Study for Grain Quality Assurance Tracking based on a Blockchain Business Network
One of the key processes in Agriculture is quality measurement throughout the transportation of grains along its complex supply chain. This procedure is suitable for failures, such as delays to final destinations, poor monitoring, and frauds. To address the grain quality measurement challenge through the transportation chain, novel technologies, such as Distributed Ledger and Blockchain, can bring more efficiency and resilience to the process. Particularly, Blockchain is a new type of distributed database in which transactions are securely appended using cryptography and hashed pointers. Those transactions can be generated and ruled by special network-embedded software -- known as smart contracts -- that may be public to all nodes of the network or may be private to a specific set of peer nodes. This paper analyses the implementation of Blockchain technology targeting grain quality assurance tracking in a real scenario. Preliminary results support a potential demand for a Blockchain-based certification that would lead to an added valuation of around 15% for GM-free soy in the scope of a Grain Exporter Business Network in Brazil.
cs.CY cs.DC
one of the key processes in agriculture is quality measurement throughout the transportation of grains along its complex supply chain this procedure is suitable for failures such as delays to final destinations poor monitoring and frauds to address the grain quality measurement challenge through the transportation chain novel technologies such as distributed ledger and blockchain can bring more efficiency and resilience to the process particularly blockchain is a new type of distributed database in which transactions are securely appended using cryptography and hashed pointers those transactions can be generated and ruled by special networkembedded software known as smart contracts that may be public to all nodes of the network or may be private to a specific set of peer nodes this paper analyses the implementation of blockchain technology targeting grain quality assurance tracking in a real scenario preliminary results support a potential demand for a blockchainbased certification that would lead to an added valuation of around 15 for gmfree soy in the scope of a grain exporter business network in brazil
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1,803.07878
Simplified Approach to the Mixed Time-averaging Semiclassical Initial Value Representation for the Calculation of Dense Vibrational Spectra
We present and test an approximate method for the semiclassical calculation of vibrational spectra. The approach is based on the mixed time-averaging semiclassical initial value representation method, which is simplified to a form that contains a filter to remove contributions from approximately harmonic environmental degrees of freedom. This filter comes at no additional numerical cost, and it has no negative effect on the accuracy of peaks from the anharmonic system of interest. The method is successfully tested for a model Hamiltonian, and then applied to the study of the frequency shift of iodine in a krypton matrix. Using a hierarchic model with up to 108 normal modes included in the calculation, we show how the dynamical interaction between iodine and krypton yields results for the lowest excited iodine peaks that reproduce experimental findings to a high degree of accuracy.
physics.chem-ph
we present and test an approximate method for the semiclassical calculation of vibrational spectra the approach is based on the mixed timeaveraging semiclassical initial value representation method which is simplified to a form that contains a filter to remove contributions from approximately harmonic environmental degrees of freedom this filter comes at no additional numerical cost and it has no negative effect on the accuracy of peaks from the anharmonic system of interest the method is successfully tested for a model hamiltonian and then applied to the study of the frequency shift of iodine in a krypton matrix using a hierarchic model with up to 108 normal modes included in the calculation we show how the dynamical interaction between iodine and krypton yields results for the lowest excited iodine peaks that reproduce experimental findings to a high degree of accuracy
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1,803.07879
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples
A large fraction of the electronic health records consists of clinical measurements collected over time, such as blood tests, which provide important information about the health status of a patient. These sequences of clinical measurements are naturally represented as time series, characterized by multiple variables and the presence of missing data, which complicate analysis. In this work, we propose a surgical site infection detection framework for patients undergoing colorectal cancer surgery that is completely unsupervised, hence alleviating the problem of getting access to labelled training data. The framework is based on powerful kernels for multivariate time series that account for missing data when computing similarities. Our approach show superior performance compared to baselines that have to resort to imputation techniques and performs comparable to a supervised classification baseline.
stat.ML cs.LG
a large fraction of the electronic health records consists of clinical measurements collected over time such as blood tests which provide important information about the health status of a patient these sequences of clinical measurements are naturally represented as time series characterized by multiple variables and the presence of missing data which complicate analysis in this work we propose a surgical site infection detection framework for patients undergoing colorectal cancer surgery that is completely unsupervised hence alleviating the problem of getting access to labelled training data the framework is based on powerful kernels for multivariate time series that account for missing data when computing similarities our approach show superior performance compared to baselines that have to resort to imputation techniques and performs comparable to a supervised classification baseline
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1,803.0788
Certain Classes of Cohen-Macaulay Multipartite Graphs
The Cohen-Macaulay property of a graph arising from a poset has been studied by various authors. In this article, we study the Cohen-Macaulay property of a graph arising from a family of reflexive and antisymmetric relations on a set. We use this result to find classes of multipartite graphs which are Cohen-Macaulay.
math.AC
the cohenmacaulay property of a graph arising from a poset has been studied by various authors in this article we study the cohenmacaulay property of a graph arising from a family of reflexive and antisymmetric relations on a set we use this result to find classes of multipartite graphs which are cohenmacaulay
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1,803.07881
Many-Body Expansion Dynamics of a Bose-Fermi Mixture Confined in an Optical Lattice
We unravel the correlated non-equilibrium dynamics of a mass balanced Bose-Fermi mixture in a one-dimensional optical lattice upon quenching an imposed harmonic trap from strong to weak confinement. Regarding the system's ground state, the competition between the inter and intraspecies interaction strength gives rise to the immiscible and miscible phases characterized by negligible and complete overlap of the constituting atomic clouds respectively. The resulting dynamical response depends strongly on the initial phase and consists of an expansion of each cloud and an interwell tunneling dynamics. For varying quench amplitude and referring to a fixed phase a multitude of response regimes is unveiled, being richer within the immiscible phase, which are described by distinct expansion strengths and tunneling channels.
quant-ph cond-mat.quant-gas physics.atom-ph
we unravel the correlated nonequilibrium dynamics of a mass balanced bosefermi mixture in a onedimensional optical lattice upon quenching an imposed harmonic trap from strong to weak confinement regarding the systems ground state the competition between the inter and intraspecies interaction strength gives rise to the immiscible and miscible phases characterized by negligible and complete overlap of the constituting atomic clouds respectively the resulting dynamical response depends strongly on the initial phase and consists of an expansion of each cloud and an interwell tunneling dynamics for varying quench amplitude and referring to a fixed phase a multitude of response regimes is unveiled being richer within the immiscible phase which are described by distinct expansion strengths and tunneling channels
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1,803.07882
Doubly stochastic operators with zero entropy
We study doubly stochastic operators with zero entropy. We generalize three famous theorems: the Rokhlin's theorem on genericity of zero entropy, the Kushnirenko's theorem on equivalence of discrete spectrum and nullity and the Halmos-von Neumann's theorem on representation of maps with discrete spectrum as group rotations.
math.DS math.FA
we study doubly stochastic operators with zero entropy we generalize three famous theorems the rokhlins theorem on genericity of zero entropy the kushnirenkos theorem on equivalence of discrete spectrum and nullity and the halmosvon neumanns theorem on representation of maps with discrete spectrum as group rotations
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1,803.07883
Scan transcription of two-dimensional shapes as an alternative neuromorphic concept
Selfridge, along with Sutherland and Marr provided some of the earliest proposals for how to program computers to recognize shapes. Their emphasis on filtering for contour features, especially the orientation of boundary segments, was reinforced by the Nobel Prize winning work of Hubel & Wiesel who discovered that neurons in primary visual cortex selectively respond as a function of contour orientation. Countless investigators and theorists have continued to build on this approach. These models are often described as neuromorphic, which implies that the computational methods are based on biologically plausible principles. Recent work from the present lab has challenged the emphasis on orientation selectivity and the use of neural network principles. The goal of the present report is not to relitigate those issues, but to provide an alternative concept for encoding of shape information that may be useful to neuromorphic modelers.
q-bio.NC
selfridge along with sutherland and marr provided some of the earliest proposals for how to program computers to recognize shapes their emphasis on filtering for contour features especially the orientation of boundary segments was reinforced by the nobel prize winning work of hubel wiesel who discovered that neurons in primary visual cortex selectively respond as a function of contour orientation countless investigators and theorists have continued to build on this approach these models are often described as neuromorphic which implies that the computational methods are based on biologically plausible principles recent work from the present lab has challenged the emphasis on orientation selectivity and the use of neural network principles the goal of the present report is not to relitigate those issues but to provide an alternative concept for encoding of shape information that may be useful to neuromorphic modelers
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1,803.07884
Parabolic equations with rough coefficients and singular forcing
This article focuses on parabolic equations with rough diffusion coefficients which are ill-posed in the classical sense of distributions due to the presence of a singular forcing. Inspired by the philosophy of rough paths and regularity structures, we introduce a notion of modelled distribution which is suitable in this context. We prove two general tools for reconstruction and integration, as well as a product lemma which is tailor made for the reconstruction of the rough diffusion operator. This yields a partially automated deterministic theory, which we apply to obtain an existence and uniqueness theory for parabolic equations with rough diffusion coefficients and a singular forcing in the negative parabolic H\"{o}lder space of order larger than $-\frac{3}{2}$.
math.AP math.PR
this article focuses on parabolic equations with rough diffusion coefficients which are illposed in the classical sense of distributions due to the presence of a singular forcing inspired by the philosophy of rough paths and regularity structures we introduce a notion of modelled distribution which is suitable in this context we prove two general tools for reconstruction and integration as well as a product lemma which is tailor made for the reconstruction of the rough diffusion operator this yields a partially automated deterministic theory which we apply to obtain an existence and uniqueness theory for parabolic equations with rough diffusion coefficients and a singular forcing in the negative parabolic holder space of order larger than frac32
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1,803.07885
On the necessary and sufficient conditions to solve a heat equation with general additive Gaussian noise
In this note we consider stochastic heat equation with general additive Gaussian noise. Our aim is to derive some necessary and sufficient conditions on the Gaussian noise in order to solve the corresponding heat equation. We investigate this problem invoking two different methods, respectively based on variance computations and on path-wise considerations in Besov spaces. We are going to see that, as anticipated, both approaches lead to the same necessary and sufficient condition on the noise. In addition, the path-wise approach brings out regularity results for the solution.
math.PR
in this note we consider stochastic heat equation with general additive gaussian noise our aim is to derive some necessary and sufficient conditions on the gaussian noise in order to solve the corresponding heat equation we investigate this problem invoking two different methods respectively based on variance computations and on pathwise considerations in besov spaces we are going to see that as anticipated both approaches lead to the same necessary and sufficient condition on the noise in addition the pathwise approach brings out regularity results for the solution
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1,803.07886
Beyond activator-inhibitor networks: the generalised Turing mechanism
The Turing patterning mechanism is believed to underly the formation of repetitive structures in development, such as zebrafish stripes and mammalian digits, but it has proved difficult to isolate the specific biochemical species responsible for pattern formation. Meanwhile, synthetic biologists have designed Turing systems for implementation in cell colonies, but none have yet led to visible patterns in the laboratory. In both cases, the relationship between underlying chemistry and emergent biology remains mysterious. To help resolve the mystery, this article asks the question: what kinds of biochemical systems can generate Turing patterns? We find general conditions for Turing pattern inception -- the ability to generate unstable patterns from random noise -- which may lead to the ultimate formation of stable patterns, depending on biochemical non-linearities. We find that a wide variety of systems can generate stable Turing patterns, including several which are currently unknown, such as two-species systems composed of two self-activators, and systems composed of a short-range inhibitor and a long-range activator. We furthermore find that systems which are widely believed to generate stable patterns may in fact only generate unstable patterns, which ultimately converge to spatially-homogeneous concentrations. Our results suggest that a much wider variety of systems than is commonly believed could be responsible for observed patterns in development, or could be good candidates for synthetic patterning networks.
q-bio.MN
the turing patterning mechanism is believed to underly the formation of repetitive structures in development such as zebrafish stripes and mammalian digits but it has proved difficult to isolate the specific biochemical species responsible for pattern formation meanwhile synthetic biologists have designed turing systems for implementation in cell colonies but none have yet led to visible patterns in the laboratory in both cases the relationship between underlying chemistry and emergent biology remains mysterious to help resolve the mystery this article asks the question what kinds of biochemical systems can generate turing patterns we find general conditions for turing pattern inception the ability to generate unstable patterns from random noise which may lead to the ultimate formation of stable patterns depending on biochemical nonlinearities we find that a wide variety of systems can generate stable turing patterns including several which are currently unknown such as twospecies systems composed of two selfactivators and systems composed of a shortrange inhibitor and a longrange activator we furthermore find that systems which are widely believed to generate stable patterns may in fact only generate unstable patterns which ultimately converge to spatiallyhomogeneous concentrations our results suggest that a much wider variety of systems than is commonly believed could be responsible for observed patterns in development or could be good candidates for synthetic patterning networks
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1,803.07887
On Enumeration of Dyck Paths with colored hills
We continue to investigate the properties of the earlier defined functions fm and gm, which depend on an initial arithmetic function f0. In this papers values of f0 are the Fine numbers. We investigate functions fi; gi; (i = 1; 2; 3; 4). For each function, we derive an explicit formula and give a combinatorial interpretation. It appears that g2 and g3 are well-known combinatoric object called the Catalan triangles. We finish with an identity consisting of ten items.
math.CO
we continue to investigate the properties of the earlier defined functions fm and gm which depend on an initial arithmetic function f0 in this papers values of f0 are the fine numbers we investigate functions fi gi i 1 2 3 4 for each function we derive an explicit formula and give a combinatorial interpretation it appears that g2 and g3 are wellknown combinatoric object called the catalan triangles we finish with an identity consisting of ten items
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1,803.07888
Epidemic SIR model on a face-to-face interaction network: new mobility induced phase transitions
In this work, we study the epidemic SIR model on a system which takes into consideration face-to-face interaction networks. This approach has been used as prototype to describe people interactions in different kinds of social organizations and, here, it is considered by means of three features of human interactions: the mobility, the duration of the interaction among people, and the dependence of the number of interactions of each person on the time evolution of the system. For this purpose, the initial configuration of the system is set as a regular square lattice where the nodes are the individuals which, in turn, are able to move in a random walk along the network. So, the connectivity among the individuals evolve with time and is defined by the positions of the individuals at each iteration. In a time unit, each individual is able move up to a distance $v$ creating different networks along the time evolution of the system. In addition, the individuals are interacting with each other only if they are within the interaction distance $\delta$ and, in this case, they are considered as neighbors. If a given individual is interacting with other ones, he performs the random walk with a diffusion probability $\omega$. Otherwise, the diffusion occurs with probability 1. The study was carried out through non-equilibrium Monte Carlo Simulations and we take into account the asynchronous updating scheme. The results show that, for a given $v>0$, there exist a critical line in the $(c, \delta)$ space, where $c$ is the immunization rate. We also obtain the dynamic critical exponent $\theta$ for some points belonging to this line and show that this model does not belong to the directed percolation universality class.
physics.soc-ph cond-mat.stat-mech
in this work we study the epidemic sir model on a system which takes into consideration facetoface interaction networks this approach has been used as prototype to describe people interactions in different kinds of social organizations and here it is considered by means of three features of human interactions the mobility the duration of the interaction among people and the dependence of the number of interactions of each person on the time evolution of the system for this purpose the initial configuration of the system is set as a regular square lattice where the nodes are the individuals which in turn are able to move in a random walk along the network so the connectivity among the individuals evolve with time and is defined by the positions of the individuals at each iteration in a time unit each individual is able move up to a distance v creating different networks along the time evolution of the system in addition the individuals are interacting with each other only if they are within the interaction distance delta and in this case they are considered as neighbors if a given individual is interacting with other ones he performs the random walk with a diffusion probability omega otherwise the diffusion occurs with probability 1 the study was carried out through nonequilibrium monte carlo simulations and we take into account the asynchronous updating scheme the results show that for a given v0 there exist a critical line in the c delta space where c is the immunization rate we also obtain the dynamic critical exponent theta for some points belonging to this line and show that this model does not belong to the directed percolation universality class
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1,803.07889
Radiation of the electromagnetic field beyond the dipole approximation
The expression for the intensity of the electromagnetic field radiation is derived in the approximation next to the dipole one. The presented approach is based on fundamental equations from the introductory course on classical electrodynamics and straightforward mathematical transformations.
physics.class-ph
the expression for the intensity of the electromagnetic field radiation is derived in the approximation next to the dipole one the presented approach is based on fundamental equations from the introductory course on classical electrodynamics and straightforward mathematical transformations
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1,803.0789
Multiple Models for Recommending Temporal Aspects of Entities
Entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity, of which salience (e.g., popularity) is the most important factor in previous work. However, entity aspects are temporally dynamic and often driven by events happening over time. For such cases, aspect suggestion based solely on salience features can give unsatisfactory results, for two reasons. First, salience is often accumulated over a long time period and does not account for recency. Second, many aspects related to an event entity are strongly time-dependent. In this paper, we study the task of temporal aspect recommendation for a given entity, which aims at recommending the most relevant aspects and takes into account time in order to improve search experience. We propose a novel event-centric ensemble ranking method that learns from multiple time and type-dependent models and dynamically trades off salience and recency characteristics. Through extensive experiments on real-world query logs, we demonstrate that our method is robust and achieves better effectiveness than competitive baselines.
cs.IR cs.LG
entity aspect recommendation is an emerging task in semantic search that helps users discover serendipitous and prominent information with respect to an entity of which salience eg popularity is the most important factor in previous work however entity aspects are temporally dynamic and often driven by events happening over time for such cases aspect suggestion based solely on salience features can give unsatisfactory results for two reasons first salience is often accumulated over a long time period and does not account for recency second many aspects related to an event entity are strongly timedependent in this paper we study the task of temporal aspect recommendation for a given entity which aims at recommending the most relevant aspects and takes into account time in order to improve search experience we propose a novel eventcentric ensemble ranking method that learns from multiple time and typedependent models and dynamically trades off salience and recency characteristics through extensive experiments on realworld query logs we demonstrate that our method is robust and achieves better effectiveness than competitive baselines
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1,803.07891
First muon acceleration using a radio frequency accelerator
Muons have been accelerated by using a radio frequency accelerator for the first time. Negative muonium atoms (Mu$^-$), which are bound states of positive muons ($\mu^+$) and two electrons, are generated from $\mu^+$'s through the electron capture process in an aluminum degrader. The generated Mu$^-$'s are initially electrostatically accelerated and injected into a radio frequency quadrupole linac (RFQ). In the RFQ, the Mu$^-$'s are accelerated to 89 keV. The accelerated Mu$^-$'s are identified by momentum measurement and time of flight. This compact muon linac opens the door to various muon accelerator applications including particle physics measurements and the construction of a transmission muon microscope.
physics.acc-ph hep-ex
muons have been accelerated by using a radio frequency accelerator for the first time negative muonium atoms mu which are bound states of positive muons mu and two electrons are generated from mus through the electron capture process in an aluminum degrader the generated mus are initially electrostatically accelerated and injected into a radio frequency quadrupole linac rfq in the rfq the mus are accelerated to 89 kev the accelerated mus are identified by momentum measurement and time of flight this compact muon linac opens the door to various muon accelerator applications including particle physics measurements and the construction of a transmission muon microscope
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1,803.07892
Taxon and trait recognition from digitized herbarium specimens using deep convolutional neural networks
Herbaria worldwide are housing a treasure of 100s of millions of herbarium specimens, which are increasingly being digitized in recent years and thereby made more easily accessible to the scientific community. At the same time, deep learning algorithms are rapidly improving pattern recognition from images and these techniques are more and more being applied to biological objects. We are using digital images of herbarium specimens in order to identify taxa and traits of these collection objects by applying convolutional neural networks (CNN). Images of the 1000 species most frequently documented by herbarium specimens on GBIF have been downloaded and combined with morphological trait data, preprocessed and divided into training and test datasets for species and trait recognition. Good performance in both domains is promising to use this approach in future tools supporting taxonomy and natural history collection management.
q-bio.PE
herbaria worldwide are housing a treasure of 100s of millions of herbarium specimens which are increasingly being digitized in recent years and thereby made more easily accessible to the scientific community at the same time deep learning algorithms are rapidly improving pattern recognition from images and these techniques are more and more being applied to biological objects we are using digital images of herbarium specimens in order to identify taxa and traits of these collection objects by applying convolutional neural networks cnn images of the 1000 species most frequently documented by herbarium specimens on gbif have been downloaded and combined with morphological trait data preprocessed and divided into training and test datasets for species and trait recognition good performance in both domains is promising to use this approach in future tools supporting taxonomy and natural history collection management
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1,803.07893
Midterm Periodicity Analysis of the Mount Wilson Magnetic Indices Using the Synchrosqueezing Transform
A novel time--frequency technique, called the synchrosqueezing transform (SST), is used to investigate the midterm periodic variations of magnetic fields on the solar surface. The Magnetic Plage Strength Index (MPSI) and the Mount Wilson Sunspot Index (MWSI), measured daily by the Mount Wilson Observatory between 1970 January 19 and 2012 January 22, are selected. The short-, mid, and longer-term periodicities are represented and decomposed by the SST with hardly any mode mixing. This demonstrates that the SST is a useful time--frequency analysis technique to characterize the periodic modes of helioseismic data. Apart from the fundamental modes of the annual periodicity, $\sim$27 day rotational cycle and $\sim$11 year solar cycle, the SST reveals several midterm periodicities in the two magnetic activity indices, specifically, $\sim$157 day (i.e., Rieger-type periodicity), and $\sim$1.3 and 1.7 years. The periodic modes, with 116.4 and 276.2 day periodicity in the MPSI, with 108.5 and 251.6 day periodicity in the MWSI, and the 157.7 day periodicity in the two indices, are in better accord with those significant periodicities derived from the Rossby waves theoretical model. This study suggests that the modes are caused by the Rossby waves. For the 1.30 and 1.71 year periodicity of the MPSI, and the 1.33 and 1.67 year periodicity of the MWSI, our analysis infers that they are related to those periodicity with the same timescale in the interior of the Sun and in the high atmospheric layers.
astro-ph.SR
a novel timefrequency technique called the synchrosqueezing transform sst is used to investigate the midterm periodic variations of magnetic fields on the solar surface the magnetic plage strength index mpsi and the mount wilson sunspot index mwsi measured daily by the mount wilson observatory between 1970 january 19 and 2012 january 22 are selected the short mid and longerterm periodicities are represented and decomposed by the sst with hardly any mode mixing this demonstrates that the sst is a useful timefrequency analysis technique to characterize the periodic modes of helioseismic data apart from the fundamental modes of the annual periodicity sim27 day rotational cycle and sim11 year solar cycle the sst reveals several midterm periodicities in the two magnetic activity indices specifically sim157 day ie riegertype periodicity and sim13 and 17 years the periodic modes with 1164 and 2762 day periodicity in the mpsi with 1085 and 2516 day periodicity in the mwsi and the 1577 day periodicity in the two indices are in better accord with those significant periodicities derived from the rossby waves theoretical model this study suggests that the modes are caused by the rossby waves for the 130 and 171 year periodicity of the mpsi and the 133 and 167 year periodicity of the mwsi our analysis infers that they are related to those periodicity with the same timescale in the interior of the sun and in the high atmospheric layers
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1,803.07894
3D-Printed Phase Waveplates for THz Beam Shaping
The advancement of 3D-printing opens up a new way of constructing affordable custom terahertz (THz) components due to suitable printing resolution and THz transparency of polymer materials. We present a way of calculating, designing and fabricating a THz waveplate that phase-modulates an incident THz beam ({\lambda}=2.14 mm) in order to create a predefined intensity profile of the optical wavefront on a distant image plane. Our calculations were performed for two distinct target intensities with the use of a modified Gerchberg-Saxton algorithm. The resulting phase-modulating profiles were used to model the polyactide elements, which were printed out with a commercially available 3D-printer. The results were tested in an THz experimental setup equipped with a scanning option and they showed good agreement with theoretical predictions.
physics.optics
the advancement of 3dprinting opens up a new way of constructing affordable custom terahertz thz components due to suitable printing resolution and thz transparency of polymer materials we present a way of calculating designing and fabricating a thz waveplate that phasemodulates an incident thz beam lambda214 mm in order to create a predefined intensity profile of the optical wavefront on a distant image plane our calculations were performed for two distinct target intensities with the use of a modified gerchbergsaxton algorithm the resulting phasemodulating profiles were used to model the polyactide elements which were printed out with a commercially available 3dprinter the results were tested in an thz experimental setup equipped with a scanning option and they showed good agreement with theoretical predictions
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1,803.07895
Invariant algebraic curves for Li\'{e}nard dynamical systems revisited
A novel algebraic method for finding invariant algebraic curves for a polynomial vector field in $\mathbb{C}^2$ is introduced. The structure of irreducible invariant algebraic curves for Li\'{e}nard dynamical systems $x_t=y$, $y_t=-g(x)y-f(x)$ with $\text{deg} f=\text{deg} g+1$ is obtained. It is shown that there exist Li\'{e}nard systems that possess more complicated invariant algebraic curves than it was supposed before. As an example, all irreducible invariant algebraic curves for the Li\'{e}nard differential system with $\text{deg} f=3$, $\text{deg} g=2$ are obtained. All these results seem to be new.
nlin.SI math.DS
a novel algebraic method for finding invariant algebraic curves for a polynomial vector field in mathbbc2 is introduced the structure of irreducible invariant algebraic curves for lienard dynamical systems x_ty y_tgxyfx with textdeg ftextdeg g1 is obtained it is shown that there exist lienard systems that possess more complicated invariant algebraic curves than it was supposed before as an example all irreducible invariant algebraic curves for the lienard differential system with textdeg f3 textdeg g2 are obtained all these results seem to be new
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1,803.07896
Statistical properties of Faraday rotation measure in external galaxies -- I: intervening disc galaxies
Deriving the Faraday rotation measure (RM) of quasar absorption line systems, which are tracers of high-redshift galaxies intervening background quasars, is a powerful tool for probing magnetic fields in distant galaxies. Statistically comparing the RM distributions of two quasar samples, with and without absorption line systems, allows one to infer magnetic field properties of the intervening galaxy population. Here, we have derived the analytical form of the probability distribution function (PDF) of RM produced by a single galaxy with an axisymmetric large-scale magnetic field. We then further determine the PDF of RM for one random sight line traversing each galaxy in a population with a large-scale magnetic field prescription. We find that the resulting PDF of RM is dominated by a Lorentzian with a width that is directly related to the mean axisymmetric large-scale field strength $\langle B_0 \rangle$ of the galaxy population if the dispersion of $B_0$ within the population is smaller than $\langle B_0 \rangle$. Provided that RMs produced by the intervening galaxies have been successfully isolated from other RM contributions along the line of sight, our simple model suggests that $\langle B_0 \rangle$ in galaxies probed by quasar absorption line systems can be measured within $\approx50$ per cent accuracy without additional constraints on the magneto-ionic medium properties of the galaxies. Finally, we discuss quasar sample selection criteria that are crucial to reliably interpret observations, and argue that within the limitations of the current database of absorption line systems, high-metallicity damped Lyman-$\alpha$ absorbers are best suited to study galactic dynamo action in distant disc galaxies.
astro-ph.GA
deriving the faraday rotation measure rm of quasar absorption line systems which are tracers of highredshift galaxies intervening background quasars is a powerful tool for probing magnetic fields in distant galaxies statistically comparing the rm distributions of two quasar samples with and without absorption line systems allows one to infer magnetic field properties of the intervening galaxy population here we have derived the analytical form of the probability distribution function pdf of rm produced by a single galaxy with an axisymmetric largescale magnetic field we then further determine the pdf of rm for one random sight line traversing each galaxy in a population with a largescale magnetic field prescription we find that the resulting pdf of rm is dominated by a lorentzian with a width that is directly related to the mean axisymmetric largescale field strength langle b_0 rangle of the galaxy population if the dispersion of b_0 within the population is smaller than langle b_0 rangle provided that rms produced by the intervening galaxies have been successfully isolated from other rm contributions along the line of sight our simple model suggests that langle b_0 rangle in galaxies probed by quasar absorption line systems can be measured within approx50 per cent accuracy without additional constraints on the magnetoionic medium properties of the galaxies finally we discuss quasar sample selection criteria that are crucial to reliably interpret observations and argue that within the limitations of the current database of absorption line systems highmetallicity damped lymanalpha absorbers are best suited to study galactic dynamo action in distant disc galaxies
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1,803.07897
(Weak) incidence bialgebras of monoidal categories
Incidence coalgebras of categories in the sense of Joni and Rota are studied, specifically cases where a monoidal product on the category turns these into (weak) bialgebras. The overlap with the theory of combinatorial Hopf algebras and that of Hopf quivers is discussed, and examples including trees, skew shapes, Milner's bigraphs and crossed modules are considered.
math.QA math.CT
incidence coalgebras of categories in the sense of joni and rota are studied specifically cases where a monoidal product on the category turns these into weak bialgebras the overlap with the theory of combinatorial hopf algebras and that of hopf quivers is discussed and examples including trees skew shapes milners bigraphs and crossed modules are considered
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1,803.07898
Explicit Computational Wave Propagation in Micro-Heterogeneous Media
Explicit time stepping schemes are popular for linear acoustic and elastic wave propagation due to their simple nature which does not require sophisticated solvers for the inversion of the stiffness matrices. However, explicit schemes are only stable if the time step size is bounded by the mesh size in space subject to the so-called CFL condition. In micro-heterogeneous media, this condition is typically prohibitively restrictive because spatial oscillations of the medium need to be resolved by the discretization in space. This paper presents a way to reduce the spatial complexity in such a setting and, hence, to enable a relaxation of the CFL condition. This is done using the Localized Orthogonal Decomposition method as a tool for numerical homogenization. A complete convergence analysis is presented with appropriate, weak regularity assumptions on the initial data.
math.NA
explicit time stepping schemes are popular for linear acoustic and elastic wave propagation due to their simple nature which does not require sophisticated solvers for the inversion of the stiffness matrices however explicit schemes are only stable if the time step size is bounded by the mesh size in space subject to the socalled cfl condition in microheterogeneous media this condition is typically prohibitively restrictive because spatial oscillations of the medium need to be resolved by the discretization in space this paper presents a way to reduce the spatial complexity in such a setting and hence to enable a relaxation of the cfl condition this is done using the localized orthogonal decomposition method as a tool for numerical homogenization a complete convergence analysis is presented with appropriate weak regularity assumptions on the initial data
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1,803.07899
On scaling limits of planar maps with stable face-degrees
We discuss the asymptotic behaviour of random critical Boltzmann planar maps in which the degree of a typical face belongs to the domain of attraction of a stable law with index $\alpha \in (1,2]$. We prove that when conditioning such maps to have $n$ vertices, or $n$ edges, or $n$ faces, the vertex-set endowed with the graph distance suitably rescaled converges in distribution towards the celebrated Brownian map when $\alpha=2$, and, after extraction of a subsequence, towards another `$\alpha$-stable map' when $\alpha <2$, which improves on a first result due to Le Gall & Miermont who assumed slightly more regularity.
math.PR
we discuss the asymptotic behaviour of random critical boltzmann planar maps in which the degree of a typical face belongs to the domain of attraction of a stable law with index alpha in 12 we prove that when conditioning such maps to have n vertices or n edges or n faces the vertexset endowed with the graph distance suitably rescaled converges in distribution towards the celebrated brownian map when alpha2 and after extraction of a subsequence towards another alphastable map when alpha 2 which improves on a first result due to le gall miermont who assumed slightly more regularity
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1,803.079
Josephson Current in Rashba-based Superconducting Nanowires with Geometric Misalignment
We investigate the properties of a weak link between two Rashba-based superconducting nanowires with geometric misalignment. By applying an external magnetic field the system can be driven into a topological non-trivial regime. We demonstrate that the Josephson current can be modulated in amplitude and sign through the variation of the applied field and, remarkably, via the angle controlling the spin-orbit locking mismatch at the interface of the nanowires. The proposed setup with misaligned coplanar nanowires provides the building block configuration for the manipulation of coherent transport via geometric-controlled mixing/splitting of interface states.
cond-mat.supr-con cond-mat.mes-hall
we investigate the properties of a weak link between two rashbabased superconducting nanowires with geometric misalignment by applying an external magnetic field the system can be driven into a topological nontrivial regime we demonstrate that the josephson current can be modulated in amplitude and sign through the variation of the applied field and remarkably via the angle controlling the spinorbit locking mismatch at the interface of the nanowires the proposed setup with misaligned coplanar nanowires provides the building block configuration for the manipulation of coherent transport via geometriccontrolled mixingsplitting of interface states
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1,803.07901
Selecting Fault Revealing Mutants
Mutant selection refers to the problem of choosing, among a large number of mutants, the (few) ones that should be used by the testers. In view of this, we investigate the problem of selecting the fault revealing mutants, i.e., the mutants that are most likely to be killable and lead to test cases that uncover unknown program faults. We formulate two variants of this problem: the fault revealing mutant selection and the fault revealing mutant prioritization. We argue and show that these problems can be tackled through a set of 'static' program features and propose a machine learning approach, named FaRM, that learns to select and rank killable and fault revealing mutants. Experimental results involving 1,692 real faults show the practical benefits of our approach in both examined problems. Our results show that FaRM achieves a good trade-off between application cost and effectiveness (measured in terms of faults revealed). We also show that FaRM outperforms all the existing mutant selection methods, i.e., the random mutant sampling, the selective mutation and defect prediction (mutating the code areas pointed by defect prediction). In particular, our results show that with respect to mutant selection, our approach reveals 23% to 34% more faults than any of the baseline methods, while, with respect to mutant prioritization, it achieves higher average percentage of revealed faults with a median difference between 4% and 9% (from the random mutant orderings).
cs.SE
mutant selection refers to the problem of choosing among a large number of mutants the few ones that should be used by the testers in view of this we investigate the problem of selecting the fault revealing mutants ie the mutants that are most likely to be killable and lead to test cases that uncover unknown program faults we formulate two variants of this problem the fault revealing mutant selection and the fault revealing mutant prioritization we argue and show that these problems can be tackled through a set of static program features and propose a machine learning approach named farm that learns to select and rank killable and fault revealing mutants experimental results involving 1692 real faults show the practical benefits of our approach in both examined problems our results show that farm achieves a good tradeoff between application cost and effectiveness measured in terms of faults revealed we also show that farm outperforms all the existing mutant selection methods ie the random mutant sampling the selective mutation and defect prediction mutating the code areas pointed by defect prediction in particular our results show that with respect to mutant selection our approach reveals 23 to 34 more faults than any of the baseline methods while with respect to mutant prioritization it achieves higher average percentage of revealed faults with a median difference between 4 and 9 from the random mutant orderings
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1,803.07902
Analyses of multi-pion Hanbury-Brown-Twiss correlations for the pion-emitting sources with Bose-Einstein condensation
We calculate the three- and four-particle correlations of identical pions in an evolving pion gas (EPG) model with Bose-Einstein condensation. The multi-pion correlation functions in the EPG model are analyzed in different momentum intervals and compared with the experimental data for Pb-Pb collisions at $\sqrt{s_{NN}}=2.76$ TeV. It is found that the multi-pion correlation functions and cumulant correlation functions are sensitive to the condensation fraction of the EPG sources in the low average transverse-momentum intervals of the three and four pions. The model results of the multi-pion correlations are consistent with the experimental data in a considerable degree, which gives a source condensation fraction between 16~--~47\%.
nucl-th
we calculate the three and fourparticle correlations of identical pions in an evolving pion gas epg model with boseeinstein condensation the multipion correlation functions in the epg model are analyzed in different momentum intervals and compared with the experimental data for pbpb collisions at sqrts_nn276 tev it is found that the multipion correlation functions and cumulant correlation functions are sensitive to the condensation fraction of the epg sources in the low average transversemomentum intervals of the three and four pions the model results of the multipion correlations are consistent with the experimental data in a considerable degree which gives a source condensation fraction between 1647
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1,803.07903
Giant Asymmetric Radiation from an Ultrathin Bianisotropic Metamaterial
Unidirectional radiation is of particular interest in high-power lasing and optics. Commonly, however, it is difficult to achieve a unidirectional profile in such a system without breaking reciprocity. Recently, assisted by metamaterials without structural symmetry, antennas that radiate asymmetrically have been developed, hence providing the possibility of achieving unidirectionality. Nevertheless, it has been challenging to achieve extremely high radiation asymmetry in such antennas. Here, we demonstrate that this radiation asymmetry is further enhanced when magnetic plasmons are present in the metamaterials. Experimentally, we show that a thin metamaterial with a thickness of approximately {\lambda}_0/8 can exhibit a forward-to-backward emission asymmetry of up to 1:32 without any optimization. Our work paves the way for manipulating asymmetric radiation by means of metamaterials and may have a variety of promising applications, such as directional optical and quantum emitters, lasers, and absorbers.
physics.app-ph physics.optics
unidirectional radiation is of particular interest in highpower lasing and optics commonly however it is difficult to achieve a unidirectional profile in such a system without breaking reciprocity recently assisted by metamaterials without structural symmetry antennas that radiate asymmetrically have been developed hence providing the possibility of achieving unidirectionality nevertheless it has been challenging to achieve extremely high radiation asymmetry in such antennas here we demonstrate that this radiation asymmetry is further enhanced when magnetic plasmons are present in the metamaterials experimentally we show that a thin metamaterial with a thickness of approximately lambda_08 can exhibit a forwardtobackward emission asymmetry of up to 132 without any optimization our work paves the way for manipulating asymmetric radiation by means of metamaterials and may have a variety of promising applications such as directional optical and quantum emitters lasers and absorbers
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1,803.07904
A path integral based model for stocks and order dynamics
We introduce a model for the short-term dynamics of financial assets based on an application to finance of quantum gauge theory, developing ideas of Ilinski. We present a numerical algorithm for the computation of the probability distribution of prices and compare the results with APPLE stocks prices and the S&P500 index.
q-fin.CP
we introduce a model for the shortterm dynamics of financial assets based on an application to finance of quantum gauge theory developing ideas of ilinski we present a numerical algorithm for the computation of the probability distribution of prices and compare the results with apple stocks prices and the sp500 index
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1,803.07905
Importance of Amplifier Physics in Maximizing the Capacity of Submarine Links
The throughput of submarine transport cables is approaching fundamental limits imposed by amplifier noise and Kerr nonlinearity. Energy constraints in ultra-long submarine links exacerbate this problem, as the throughput per fiber is further limited by the electrical power available to the undersea optical amplifiers. Recent works have studied how employing more spatial dimensions can mitigate these limitations. In this paper, we address the fundamental question of how to optimally use each spatial dimension. Specifically, we discuss how to optimize the channel power allocation in order to maximize the information-theoretic capacity under an electrical power constraint. Our formulation accounts for amplifier physics, Kerr nonlinearity, and power feed constraints. Whereas recent works assume the optical amplifiers operate in deep saturation, where power-conversion efficiency (PCE) is high, we show that given a power constraint, operating in a less saturated regime, where PCE is lower, supports a wider bandwidth and a larger number of spatial dimensions, thereby maximizing capacity. This design strategy increases the capacity of submarine links by about 70% compared to the theoretical capacity of a recently proposed high-capacity system.
physics.app-ph eess.SP physics.optics
the throughput of submarine transport cables is approaching fundamental limits imposed by amplifier noise and kerr nonlinearity energy constraints in ultralong submarine links exacerbate this problem as the throughput per fiber is further limited by the electrical power available to the undersea optical amplifiers recent works have studied how employing more spatial dimensions can mitigate these limitations in this paper we address the fundamental question of how to optimally use each spatial dimension specifically we discuss how to optimize the channel power allocation in order to maximize the informationtheoretic capacity under an electrical power constraint our formulation accounts for amplifier physics kerr nonlinearity and power feed constraints whereas recent works assume the optical amplifiers operate in deep saturation where powerconversion efficiency pce is high we show that given a power constraint operating in a less saturated regime where pce is lower supports a wider bandwidth and a larger number of spatial dimensions thereby maximizing capacity this design strategy increases the capacity of submarine links by about 70 compared to the theoretical capacity of a recently proposed highcapacity system
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1,803.07906
Daytime passive radiative cooler using porous alumina
We report a daytime passive radiative cooler using chemically fabricated porous anodic aluminum oxide (AAO) membranes. Effective medium theory (EMT) has been applied to analyzing the optical properties of the air-doped porous medium. The composite structure is specifically optimized so that it has a high absorbance (emittance) in the far-infrared atmospheric window and nearly no loss in the solar spectrum. The calculated emittance is well reproduced in the experiment by our AAO sample. The fabricated porous membrane shows a potential cooling power density of 64 W/m2 at ambient (humidity = 75%) under direct sunlight irradiance (AM1.5). Experimentally, the sample is cooled by a 2.6C temperature reduction below the ambient air temperature in the sunlight. This performance shows little variance at night. The AAO approach proposed here may provide a promising way to produce low-cost and efficient radiative cooler in large scales for feasible energy conservation.
physics.app-ph physics.optics
we report a daytime passive radiative cooler using chemically fabricated porous anodic aluminum oxide aao membranes effective medium theory emt has been applied to analyzing the optical properties of the airdoped porous medium the composite structure is specifically optimized so that it has a high absorbance emittance in the farinfrared atmospheric window and nearly no loss in the solar spectrum the calculated emittance is well reproduced in the experiment by our aao sample the fabricated porous membrane shows a potential cooling power density of 64 wm2 at ambient humidity 75 under direct sunlight irradiance am15 experimentally the sample is cooled by a 26c temperature reduction below the ambient air temperature in the sunlight this performance shows little variance at night the aao approach proposed here may provide a promising way to produce lowcost and efficient radiative cooler in large scales for feasible energy conservation
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1,803.07907
Fabrication and Characterization of a Mode-selective 45-Mode Spatial Multiplexer based on Multi-Plane Light Conversion
Space Division Multiplexing (SMD) is a very attractive technique for addressing the ever-growing demands in transmission capacity by enabling the use of a new parameter \textemdash\ space \textemdash\ to increase the number of channels in multi-mode fibers. One key component to build a spatially multiplexed-based optical network is a spatial multiplexer and demultiplexer combining signals from multiple single-mode fibers into as many channels in a multi-mode fiber. In this article, we report the fabrication and characterization of a pair of 45-mode spatial multiplexer and demultiplexer saturating all the modes of a standard 50~$\mu$m core graded-index (OM2) multi-mode fiber. The multiplexers are based on Multi-Plane Light Conversion (MPLC), a technique that enables the control of the transverse shape of the light by multiple reflections on specifically designed phase plates. We show that by using a separable variable basis of modes, such as Hermite-Gaussian (HG) modes, we are able to drastically reduce the number of reflections hence reducing the insertion losses and modal crosstalks. The multiplexers typically show an average 4~dB insertion loss and -28~dB cross-talk across the C band. Finally, we emphasize the use of this higher-order modes multiplexer to explore the propagation properties inside multi-mode fibers and more specifically the mode group crosstalks as well as the impact of fiber bending.
physics.app-ph
space division multiplexing smd is a very attractive technique for addressing the evergrowing demands in transmission capacity by enabling the use of a new parameter textemdash space textemdash to increase the number of channels in multimode fibers one key component to build a spatially multiplexedbased optical network is a spatial multiplexer and demultiplexer combining signals from multiple singlemode fibers into as many channels in a multimode fiber in this article we report the fabrication and characterization of a pair of 45mode spatial multiplexer and demultiplexer saturating all the modes of a standard 50mum core gradedindex om2 multimode fiber the multiplexers are based on multiplane light conversion mplc a technique that enables the control of the transverse shape of the light by multiple reflections on specifically designed phase plates we show that by using a separable variable basis of modes such as hermitegaussian hg modes we are able to drastically reduce the number of reflections hence reducing the insertion losses and modal crosstalks the multiplexers typically show an average 4db insertion loss and 28db crosstalk across the c band finally we emphasize the use of this higherorder modes multiplexer to explore the propagation properties inside multimode fibers and more specifically the mode group crosstalks as well as the impact of fiber bending
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1,803.07908
Passive advection of a vector field: effects of strong compressibility
The field theoretic renormalization group and the operator product expansion are applied to the stochastic model of a passively advected vector field. The advecting velocity field is generated by the stochastic Navier-Stokes equation with compressibility taken into account. The model is considered in the vicinity of space dimension $d=4$ and the perturbation theory is constructed within a double expansion scheme in $y$ and $\epsilon=4-d$, where $y$ describes scaling behaviour of the random force that enters a stochastic equation for the velocity field. We show that the correlation functions of the passive vector field in the inertial range exhibit anomalous scaling behaviour. The critical dimensions of tensor composite operators of passive vector field are calculated in the leading order of $y$,$\epsilon$ expansion.
cond-mat.stat-mech
the field theoretic renormalization group and the operator product expansion are applied to the stochastic model of a passively advected vector field the advecting velocity field is generated by the stochastic navierstokes equation with compressibility taken into account the model is considered in the vicinity of space dimension d4 and the perturbation theory is constructed within a double expansion scheme in y and epsilon4d where y describes scaling behaviour of the random force that enters a stochastic equation for the velocity field we show that the correlation functions of the passive vector field in the inertial range exhibit anomalous scaling behaviour the critical dimensions of tensor composite operators of passive vector field are calculated in the leading order of yepsilon expansion
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1,803.07909
Newton's Second Law and the Concept of Relativistic Mass
In this work we discuss different interpretations of mass in the relativistic dynamics. A new way to introduce mass is proposed. Our way is based on the relativistic equation of motion expressed in the form of the Newton$'$s second law. In this approach mass appears as a tensor, not as a scalar. The tensor mass allows us simply to describe anisotropic character of inert features of a relativistic object.
physics.class-ph physics.pop-ph
in this work we discuss different interpretations of mass in the relativistic dynamics a new way to introduce mass is proposed our way is based on the relativistic equation of motion expressed in the form of the newtons second law in this approach mass appears as a tensor not as a scalar the tensor mass allows us simply to describe anisotropic character of inert features of a relativistic object
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1,803.0791
Energy transfer mechanisms in a dipole chain: From energy equipartition to the formation of breathers
We study the energy transfer in a classical dipole chain of $N$ interacting rigid rotating dipoles. The underlying high--dimensional potential energy landscape is analyzed in particular by determining the equilibrium points and their stability in the common plane of rotation. Starting from the minimal energy configuration, the response of the chain to excitation of a single dipole is investigated. Using both the linearized and the exact Hamiltonian of the dipole chain, we detect an approximate excitation energy threshold between a weakly and a strongly nonlinear dynamics. In the weakly nonlinear regime, the chain approaches in the course of time the expected energy equipartition among the dipoles. For excitations of higher energy, strongly localized excitations appear whose trajectories in time are either periodic or irregular, relating to the well-known discrete or chaotic breathers, respectively. The phenomenon of spontaneous formation of domains of opposite polarization and phase locking is found to commonly accompany the time evolution of the chaotic breathers. Finally, the sensitivity of the dipole chain dynamics to the initial conditions is studied as a function of the initial excitation energy by computing a fast chaos indicator. The results of this study confirm the aforementioned approximate threshold value for the initial excitation energy, below which the dynamics of the dipole chain is regular and above which it is chaotic.
nlin.CD physics.atm-clus
we study the energy transfer in a classical dipole chain of n interacting rigid rotating dipoles the underlying highdimensional potential energy landscape is analyzed in particular by determining the equilibrium points and their stability in the common plane of rotation starting from the minimal energy configuration the response of the chain to excitation of a single dipole is investigated using both the linearized and the exact hamiltonian of the dipole chain we detect an approximate excitation energy threshold between a weakly and a strongly nonlinear dynamics in the weakly nonlinear regime the chain approaches in the course of time the expected energy equipartition among the dipoles for excitations of higher energy strongly localized excitations appear whose trajectories in time are either periodic or irregular relating to the wellknown discrete or chaotic breathers respectively the phenomenon of spontaneous formation of domains of opposite polarization and phase locking is found to commonly accompany the time evolution of the chaotic breathers finally the sensitivity of the dipole chain dynamics to the initial conditions is studied as a function of the initial excitation energy by computing a fast chaos indicator the results of this study confirm the aforementioned approximate threshold value for the initial excitation energy below which the dynamics of the dipole chain is regular and above which it is chaotic
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1,803.07911
Spin field-effect transistor action via tunable polarization of the spin injection in a Co/MgO/graphene contact
We fabricated a non-local spin valve device with Co-MgO injector/detector tunnel contacts on a graphene spin channel. In this device, the spin polarization of the injector contact can be tuned by both the injector current bias and the gate voltage. The spin polarization can be turned off and even inverted. This behavior enables a spin transistor where the signal is switched off by turning off the spin injection using the field-effect. We propose a model based on a gate-dependent shift of the minimum in the graphene density of states with respect to the tunneling density of states of cobalt, which can explain the observed bias and gate dependence.
cond-mat.mes-hall
we fabricated a nonlocal spin valve device with comgo injectordetector tunnel contacts on a graphene spin channel in this device the spin polarization of the injector contact can be tuned by both the injector current bias and the gate voltage the spin polarization can be turned off and even inverted this behavior enables a spin transistor where the signal is switched off by turning off the spin injection using the fieldeffect we propose a model based on a gatedependent shift of the minimum in the graphene density of states with respect to the tunneling density of states of cobalt which can explain the observed bias and gate dependence
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1,803.07912
Series and power series on universally complete complex vector lattices
In this paper we prove an $n$th root test for series as well as a Cauchy-Hadamard type formula and Abel's' theorem for power series on universally complete Archimedean complex vector lattices. These results are aimed at developing an alternative approach to the classical theory of complex series and power series using the notion of order convergence.
math.FA
in this paper we prove an nth root test for series as well as a cauchyhadamard type formula and abels theorem for power series on universally complete archimedean complex vector lattices these results are aimed at developing an alternative approach to the classical theory of complex series and power series using the notion of order convergence
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1,803.07913
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
Event-based cameras have recently drawn the attention of the Computer Vision community thanks to their advantages in terms of high temporal resolution, low power consumption and high dynamic range, compared to traditional frame-based cameras. These properties make event-based cameras an ideal choice for autonomous vehicles, robot navigation or UAV vision, among others. However, the accuracy of event-based object classification algorithms, which is of crucial importance for any reliable system working in real-world conditions, is still far behind their frame-based counterparts. Two main reasons for this performance gap are: 1. The lack of effective low-level representations and architectures for event-based object classification and 2. The absence of large real-world event-based datasets. In this paper we address both problems. First, we introduce a novel event-based feature representation together with a new machine learning architecture. Compared to previous approaches, we use local memory units to efficiently leverage past temporal information and build a robust event-based representation. Second, we release the first large real-world event-based dataset for object classification. We compare our method to the state-of-the-art with extensive experiments, showing better classification performance and real-time computation.
cs.CV
eventbased cameras have recently drawn the attention of the computer vision community thanks to their advantages in terms of high temporal resolution low power consumption and high dynamic range compared to traditional framebased cameras these properties make eventbased cameras an ideal choice for autonomous vehicles robot navigation or uav vision among others however the accuracy of eventbased object classification algorithms which is of crucial importance for any reliable system working in realworld conditions is still far behind their framebased counterparts two main reasons for this performance gap are 1 the lack of effective lowlevel representations and architectures for eventbased object classification and 2 the absence of large realworld eventbased datasets in this paper we address both problems first we introduce a novel eventbased feature representation together with a new machine learning architecture compared to previous approaches we use local memory units to efficiently leverage past temporal information and build a robust eventbased representation second we release the first large realworld eventbased dataset for object classification we compare our method to the stateoftheart with extensive experiments showing better classification performance and realtime computation
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1,803.07914
Well-posedness and stabilization of the Benjamin-Bona-Mahony equation on star-shaped networks
We study the stabilization issue of the Benjamin-Bona-Mahony (BBM) equation on a finite star-shaped network with a damping term acting on the central node. In a first time, we prove the well-posedness of this system. Then thanks to the frequency domain method, we get the asymptotic stabilization result.
math.AP
we study the stabilization issue of the benjaminbonamahony bbm equation on a finite starshaped network with a damping term acting on the central node in a first time we prove the wellposedness of this system then thanks to the frequency domain method we get the asymptotic stabilization result
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1,803.07915
Modelling the Influence of Cultural Information on Vision-Based Human Home Activity Recognition
Daily life activities, such as eating and sleeping, are deeply influenced by a person's culture, hence generating differences in the way a same activity is performed by individuals belonging to different cultures. We argue that taking cultural information into account can improve the performance of systems for the automated recognition of human activities. We propose four different solutions to the problem and present a system which uses a Naive Bayes model to associate cultural information with semantic information extracted from still images. Preliminary experiments with a dataset of images of individuals lying on the floor, sleeping on a futon and sleeping on a bed suggest that: i) solutions explicitly taking cultural information into account are more accurate than culture-unaware solutions; and ii) the proposed system is a promising starting point for the development of culture-aware Human Activity Recognition methods.
cs.CV cs.CY cs.RO
daily life activities such as eating and sleeping are deeply influenced by a persons culture hence generating differences in the way a same activity is performed by individuals belonging to different cultures we argue that taking cultural information into account can improve the performance of systems for the automated recognition of human activities we propose four different solutions to the problem and present a system which uses a naive bayes model to associate cultural information with semantic information extracted from still images preliminary experiments with a dataset of images of individuals lying on the floor sleeping on a futon and sleeping on a bed suggest that i solutions explicitly taking cultural information into account are more accurate than cultureunaware solutions and ii the proposed system is a promising starting point for the development of cultureaware human activity recognition methods
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1,803.07916
Cosmic Censorship and Weak Gravity Conjecture in the Einstein-Maxwell-dilaton theory
We explore the cosmic censorship in the Einstein-Maxwell-dilaton theory following Wald's thought experiment to destroy a black hole by throwing in a test particle. We discover that at probe limit the extremal charged dilaton black hole could be destroyed by a test particle with specific energy. Nevertheless the censorship is well protected if backreaction or self-force is included. At the end, we discuss an interesting connection between Hoop Conjecture and Weak Gravity Conjecture.
gr-qc hep-th
we explore the cosmic censorship in the einsteinmaxwelldilaton theory following walds thought experiment to destroy a black hole by throwing in a test particle we discover that at probe limit the extremal charged dilaton black hole could be destroyed by a test particle with specific energy nevertheless the censorship is well protected if backreaction or selfforce is included at the end we discuss an interesting connection between hoop conjecture and weak gravity conjecture
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1,803.07917
The Hbot : A Holonomic Spherical Haptic Interface Driven by Non-Holonomic Wheels
We present the Hbot, a holonomic, singularity-free spherical robot designed for haptic simulations. The Hbot is made up of a caged sphere actuated by steered and driven non-holonomic wheels to produce continuous and unlimited spherical motions. We analyse the kinematic interface between a sphere and $n$ arbitrarily positioned, steered and driven non-holonomic wheels in the general case. We also present a detailed singularity analysis and show that workspace-boundary and workspace-interior singularities can both be avoided at the design stage. We implement a prototype using two steered and driven non-holonomic wheels and show experimental results for trajectory tracking and rendering of various rotational stiffness levels.
cs.RO
we present the hbot a holonomic singularityfree spherical robot designed for haptic simulations the hbot is made up of a caged sphere actuated by steered and driven nonholonomic wheels to produce continuous and unlimited spherical motions we analyse the kinematic interface between a sphere and n arbitrarily positioned steered and driven nonholonomic wheels in the general case we also present a detailed singularity analysis and show that workspaceboundary and workspaceinterior singularities can both be avoided at the design stage we implement a prototype using two steered and driven nonholonomic wheels and show experimental results for trajectory tracking and rendering of various rotational stiffness levels
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1,803.07918
Bosonic Szilard Engine Assisted by Feshbach Resonances
It was recently found that the information-to-work conversion in a quantum Szilard engine can be increased by using a working medium of bosons with attractive interactions. In the original scheme, the work output depends on the insertion and removal position of an impenetrable barrier that acts like a piston, separating the chambers of the engine. Here, we show that the barrier removal process can be made fully reversible, resulting in a full information-to-work conversion if we also allow for the interaction strength to change during the cycle. Hence, it becomes possible to reach the maximum work output per cycle dictated by the second law of thermodynamics. These findings can, for instance, be experimentally verified with ultra-cold atoms as a working medium, where a change of interaction strength can be controlled by Feshbach resonances.
quant-ph cond-mat.quant-gas
it was recently found that the informationtowork conversion in a quantum szilard engine can be increased by using a working medium of bosons with attractive interactions in the original scheme the work output depends on the insertion and removal position of an impenetrable barrier that acts like a piston separating the chambers of the engine here we show that the barrier removal process can be made fully reversible resulting in a full informationtowork conversion if we also allow for the interaction strength to change during the cycle hence it becomes possible to reach the maximum work output per cycle dictated by the second law of thermodynamics these findings can for instance be experimentally verified with ultracold atoms as a working medium where a change of interaction strength can be controlled by feshbach resonances
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1,803.07919
Quantum games: a review of the history, current state, and interpretation
We review both theoretical and experimental developments in the area of quantum games since the inception of the subject circa 1999. We will also offer a narrative on the controversy that surrounded the subject in its early days, and how this controversy has affected the development of the subject.
quant-ph
we review both theoretical and experimental developments in the area of quantum games since the inception of the subject circa 1999 we will also offer a narrative on the controversy that surrounded the subject in its early days and how this controversy has affected the development of the subject
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1,803.0792
Two-Parameter Quasi-Ballistic Transport Model for Nanoscale Transistors
We show that by adding only two fitting parameters to a purely ballistic transport model, we can accurately characterize the current-voltage characteristics of nanoscale MOSFETs. The model is an extension to a ballistic model (J. Appl. Phys. 76, 4879 (1994)) and includes transmission probability and the drain-channel coupling capacitor. The latter parameter gives rise to a theoretical RON that is significantly larger than those predicted previously. To validate our model, we fabricated n-channel MOSFETs with varying channel lengths. We show the length dependence of these parameters to support a quasi-ballistic description of our devices.
cond-mat.mes-hall
we show that by adding only two fitting parameters to a purely ballistic transport model we can accurately characterize the currentvoltage characteristics of nanoscale mosfets the model is an extension to a ballistic model j appl phys 76 4879 1994 and includes transmission probability and the drainchannel coupling capacitor the latter parameter gives rise to a theoretical ron that is significantly larger than those predicted previously to validate our model we fabricated nchannel mosfets with varying channel lengths we show the length dependence of these parameters to support a quasiballistic description of our devices
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1,803.07921
White Paper: Exoplanetary Microlensing from the Ground in the 2020s
Microlensing can access planet populations that no other method can probe: cold wide-orbit planets beyond the snow line, planets in both the Galactic bulge and disk, and free floating planets (FFPs). The demographics of each population will provide unique constraints on planet formation. Over the past 5 years, U.S. microlensing campaigns with Spitzer and UKIRT have provided a powerful complement to international ground-based microlensing surveys, with major breakthroughs in parallax measurements and probing new regions of the Galaxy. The scientific vitality of these projects has also promoted the development of the U.S. microlensing community. In the 2020s, the U.S. can continue to play a major role in ground-based microlensing by leveraging U.S. assets to complement ongoing ground-based international surveys. LSST and UKIRT microlensing surveys would probe vast regions of the Galaxy, where planets form under drastically different conditions. Moreover, while ground-based surveys will measure the planet mass-ratio function beyond the snow line, adaptive optics (AO) observations with ELTs would turn all of these mass ratios into masses and also distinguish between very wide-orbit planets and genuine FFPs. To the extent possible, cooperation of U.S. scientists with international surveys should also be encouraged and supported.
astro-ph.EP
microlensing can access planet populations that no other method can probe cold wideorbit planets beyond the snow line planets in both the galactic bulge and disk and free floating planets ffps the demographics of each population will provide unique constraints on planet formation over the past 5 years us microlensing campaigns with spitzer and ukirt have provided a powerful complement to international groundbased microlensing surveys with major breakthroughs in parallax measurements and probing new regions of the galaxy the scientific vitality of these projects has also promoted the development of the us microlensing community in the 2020s the us can continue to play a major role in groundbased microlensing by leveraging us assets to complement ongoing groundbased international surveys lsst and ukirt microlensing surveys would probe vast regions of the galaxy where planets form under drastically different conditions moreover while groundbased surveys will measure the planet massratio function beyond the snow line adaptive optics ao observations with elts would turn all of these mass ratios into masses and also distinguish between very wideorbit planets and genuine ffps to the extent possible cooperation of us scientists with international surveys should also be encouraged and supported
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1,803.07922
Self-assembly of magnetic iron oxide nanoparticles into cuboidal superstructures
This chapter describes the synthesis and some characteristics of magnetic iron oxide nanoparticles, mainly nanocubes, and focus on their self-assembly into crystalline cuboids in dispersion. The influence of external magnetic fields, the concentration of particles, and the temperature on the assembly process is experimentally investigated.
cond-mat.soft physics.app-ph
this chapter describes the synthesis and some characteristics of magnetic iron oxide nanoparticles mainly nanocubes and focus on their selfassembly into crystalline cuboids in dispersion the influence of external magnetic fields the concentration of particles and the temperature on the assembly process is experimentally investigated
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1,803.07923
Holomorphic Frobenius actions for DQ-modules
Given a complex manifold endowed with a $\mathbb{C}^\times$-action and a DQ-algebra equipped with a compatible holomorphic Frobenius action (F-action), we prove that if the $\mathbb{C}^\times$-action is free and proper, then the category of F-equivariant DQ-modules is equivalent to the category of modules over the sheaf of invariant sections of the DQ-algebra. As an application, we deduce the codimension three conjecture for formal microdifferential modules from the one for DQ-modules on a symplectic manifold.
math.AG
given a complex manifold endowed with a mathbbctimesaction and a dqalgebra equipped with a compatible holomorphic frobenius action faction we prove that if the mathbbctimesaction is free and proper then the category of fequivariant dqmodules is equivalent to the category of modules over the sheaf of invariant sections of the dqalgebra as an application we deduce the codimension three conjecture for formal microdifferential modules from the one for dqmodules on a symplectic manifold
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1,803.07924
A brief description of operators associated to the quantum harmonic oscillator on Schatten-von Neumann classes
In this note we study pseudo-multipliers associated to the harmonic oscillator (also called Hermite multipliers) belonging to Schatten classes on $L^2(\mathbb{R}^n)$. We also investigate the spectral trace of these operators.
math.FA
in this note we study pseudomultipliers associated to the harmonic oscillator also called hermite multipliers belonging to schatten classes on l2mathbbrn we also investigate the spectral trace of these operators
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1,803.07925
Entropic No-Disturbance as a Physical Principle
The celebrated Bell-Kochen-Specker no-go theorem asserts that quantum mechanics does not present the property of realism, the essence of the theorem is the lack of a joint probability distributions for some experiment settings. In this work, we exploit the information theoretic form of the theorem using information measure instead of probabilistic measure and indicate that quantum mechanics does not present such entropic realism neither. The entropic form of Gleason's no-disturbance principle is developed and it turns out to be characterized by the intersection of several entropic cones. Entropic contextuality and entropic nonlocality are investigated in depth in this framework. We show how one can construct monogamy relations using entropic cone and basic Shannon-type inequalities. The general criterion for several entropic tests to be monogamous is also developed, using the criterion, we demonstrate that entropic nonlocal correlations are monogamous, entropic contextuality tests are monogamous and entropic nonlocality and entropic contextuality are also monogamous. Finally, we analyze the entropic monogamy relations for multiparty and many-test case, which plays a crucial role in quantum network communication.
quant-ph
the celebrated bellkochenspecker nogo theorem asserts that quantum mechanics does not present the property of realism the essence of the theorem is the lack of a joint probability distributions for some experiment settings in this work we exploit the information theoretic form of the theorem using information measure instead of probabilistic measure and indicate that quantum mechanics does not present such entropic realism neither the entropic form of gleasons nodisturbance principle is developed and it turns out to be characterized by the intersection of several entropic cones entropic contextuality and entropic nonlocality are investigated in depth in this framework we show how one can construct monogamy relations using entropic cone and basic shannontype inequalities the general criterion for several entropic tests to be monogamous is also developed using the criterion we demonstrate that entropic nonlocal correlations are monogamous entropic contextuality tests are monogamous and entropic nonlocality and entropic contextuality are also monogamous finally we analyze the entropic monogamy relations for multiparty and manytest case which plays a crucial role in quantum network communication
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1,803.07926
A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents. Using Unmanned Aerial Vehicles (UAVs) to cover wildfire is promising because it can replace humans in hazardous fire tracking and significantly reduce operation costs. In this paper we propose a distributed control framework designed for a team of UAVs that can closely monitor a wildfire in open space, and precisely track its development. The UAV team, designed for flexible deployment, can effectively avoid in-flight collisions and cooperate well with neighbors. They can maintain a certain height level to the ground for safe flight above fire. Experimental results are conducted to demonstrate the capabilities of the UAV team in covering a spreading wildfire.
cs.RO
wildland fire fighting is a hazardous job a key task for firefighters is to observe the fire front to chart the progress of the fire and areas that will likely spread next lack of information of the fire front causes many accidents using unmanned aerial vehicles uavs to cover wildfire is promising because it can replace humans in hazardous fire tracking and significantly reduce operation costs in this paper we propose a distributed control framework designed for a team of uavs that can closely monitor a wildfire in open space and precisely track its development the uav team designed for flexible deployment can effectively avoid inflight collisions and cooperate well with neighbors they can maintain a certain height level to the ground for safe flight above fire experimental results are conducted to demonstrate the capabilities of the uav team in covering a spreading wildfire
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1,803.07927
New Quantum MDS codes constructed from Constacyclic codes
Quantum maximum-distance-separable (MDS) codes are an important class of quantum codes. In this paper, using constacyclic codes and Hermitain construction, we construct some new quantum MDS codes of the form $q=2am+t$, $n=\frac{q^{2}+1}{a}$. Most of these quantum MDS codes are new in the sense that their parameters are not covered be the codes available in the literature.
cs.IT math.IT
quantum maximumdistanceseparable mds codes are an important class of quantum codes in this paper using constacyclic codes and hermitain construction we construct some new quantum mds codes of the form q2amt nfracq21a most of these quantum mds codes are new in the sense that their parameters are not covered be the codes available in the literature
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1,803.07928
Minimal Structural Perturbations for Network Controllability: Complexity Analysis
Link (edge) addition/deletion or sensor/actuator failures are common structural perturbations for real network systems. This paper is related to the computation complexity of minimal (cost) link insertion, deletion and vertex deletion with respect to structural controllability of networks. Formally, given a structured system, we prove that: i) it is NP-hard to add the minimal cost of links (including links between state variables and from inputs to state variables) from a given set of links to make the system structurally controllable, even with identical link costs or a prescribed input topology; ii) it is NP-hard to determine the minimal cost of links whose deletion deteriorates structural controllability of the system, even with identical link costs or when the removable links are restricted in input links. It is also proven that determining the minimal cost of inputs whose deletion causes structural uncontrollability is NP-hard in the strong sense. The reductions in their proofs are technically independent. These results may serve an answer to the general hardness of optimally designing (modifying) a structurally controllable network topology and of measuring controllability robustness against link/actuator failures. Some fundamental approximation results for these related problems are also provided.
math.OC cs.SY math.DS
link edge additiondeletion or sensoractuator failures are common structural perturbations for real network systems this paper is related to the computation complexity of minimal cost link insertion deletion and vertex deletion with respect to structural controllability of networks formally given a structured system we prove that i it is nphard to add the minimal cost of links including links between state variables and from inputs to state variables from a given set of links to make the system structurally controllable even with identical link costs or a prescribed input topology ii it is nphard to determine the minimal cost of links whose deletion deteriorates structural controllability of the system even with identical link costs or when the removable links are restricted in input links it is also proven that determining the minimal cost of inputs whose deletion causes structural uncontrollability is nphard in the strong sense the reductions in their proofs are technically independent these results may serve an answer to the general hardness of optimally designing modifying a structurally controllable network topology and of measuring controllability robustness against linkactuator failures some fundamental approximation results for these related problems are also provided
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1,803.07929
Symplectic vortex equations for Kahler cones over Sasakian manifolds
We obtain a Hitchin-Kobayashi-type correspondence for symplectic vortex equations, with the target a Kahler cone over a compact Sasakian manifold. We show that the correspondence reduces to studying the existence and uniqueness of Kazdan-Warner equations. Using this, we construct a map between the moduli space of solutions to the symplectic vortex equations and effective divisors.
math.DG math-ph math.MP
we obtain a hitchinkobayashitype correspondence for symplectic vortex equations with the target a kahler cone over a compact sasakian manifold we show that the correspondence reduces to studying the existence and uniqueness of kazdanwarner equations using this we construct a map between the moduli space of solutions to the symplectic vortex equations and effective divisors
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1,803.0793
A 30nA Quiescent 80nW to 14mW Power Range Shock-Optimized SECE-based Piezoelectric Harvesting Interface with 420% Harvested Energy Improvement
Piezoelectric Energy Harvesters (PEH) are usually used to convert mechanical energy (vibration, shocks) into electrical energy, in order to supply energy-autonomous sensor nodes in industrial, biomedical or domotic applications. Non-linear extraction strategies such as Synchronous Electrical Charge Extraction (SECE) [1-2], energy investing [3] or Synchronized Switch Harvesting on Inductor (SSHI) [4] have been developed to maximize the extracted energy from harmonic excitations. However, in most of today's applications, vibrations are not periodic and mechanical shocks occur at unpredictable rates [4]. SSHI interfaces naturally seemed to be the most appropriate candidate for harvesting shocks as they exhibit outstanding performance in periodic excitations [4]. However, the SSHI strategy presents inherent weaknesses while harvesting shocks, since the invested energy stored in the piezoelectric capacitance cannot be recovered. In this work, we propose a self-starting, battery-less, 0.55mm 2 integrated energy harvesting interface based on SECE strategy which has been optimized to work under shock stimulus. Due to the sporadic nature of mechanical shocks which imply long periods of inactivity and brief energy peaks, the interface's average consumption is optimized by minimizing the quiescent power. A dedicated energy saving sequencing has thus been designed, reducing the static current to 30nA and enabling energy to be extracted with only one single 8$\mu$J shock occurring every 100s. Our SECE-based circuit features a shock FoM 1.6x greater than previous SSHI-based interfaces [4]. The proposed system depicted in Fig.1 is made of a negative voltage converter rectifying the PEH output voltage, and a SECE power path controlled by a sequenced circuit. The sequencing is divided in 4 phases and the associated time diagrams are illustrated in Fig.2. During the sleeping mode T1, all blocks except the shock detection (SD) are turned off. During the starting phase, the energy is stored in CASIC through a cold-start path, increasing VASIC. This will progressively turn on the SD. Next, when stress applied to the piezoelectric material leads to an increase in VREC, the SD checks if the electrical energy
physics.app-ph
piezoelectric energy harvesters peh are usually used to convert mechanical energy vibration shocks into electrical energy in order to supply energyautonomous sensor nodes in industrial biomedical or domotic applications nonlinear extraction strategies such as synchronous electrical charge extraction sece 12 energy investing 3 or synchronized switch harvesting on inductor sshi 4 have been developed to maximize the extracted energy from harmonic excitations however in most of todays applications vibrations are not periodic and mechanical shocks occur at unpredictable rates 4 sshi interfaces naturally seemed to be the most appropriate candidate for harvesting shocks as they exhibit outstanding performance in periodic excitations 4 however the sshi strategy presents inherent weaknesses while harvesting shocks since the invested energy stored in the piezoelectric capacitance cannot be recovered in this work we propose a selfstarting batteryless 055mm 2 integrated energy harvesting interface based on sece strategy which has been optimized to work under shock stimulus due to the sporadic nature of mechanical shocks which imply long periods of inactivity and brief energy peaks the interfaces average consumption is optimized by minimizing the quiescent power a dedicated energy saving sequencing has thus been designed reducing the static current to 30na and enabling energy to be extracted with only one single 8muj shock occurring every 100s our secebased circuit features a shock fom 16x greater than previous sshibased interfaces 4 the proposed system depicted in fig1 is made of a negative voltage converter rectifying the peh output voltage and a sece power path controlled by a sequenced circuit the sequencing is divided in 4 phases and the associated time diagrams are illustrated in fig2 during the sleeping mode t1 all blocks except the shock detection sd are turned off during the starting phase the energy is stored in casic through a coldstart path increasing vasic this will progressively turn on the sd next when stress applied to the piezoelectric material leads to an increase in vrec the sd checks if the electrical energy
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1,803.07931
Linear independence in the rational homology cobordism group
We give simple homological conditions for a rational homology 3-sphere Y to have infinite order in the rational homology cobordism group, and for a collection of rational homology spheres to be linearly independent. These translate immediately to statements about knot concordance when Y is the branched double cover of a knot, recovering some results of Livingston and Naik. The statements depend only on the homology groups of the 3-manifolds, but are proven through an analysis of correction terms and their behavior under connected sums.
math.GT
we give simple homological conditions for a rational homology 3sphere y to have infinite order in the rational homology cobordism group and for a collection of rational homology spheres to be linearly independent these translate immediately to statements about knot concordance when y is the branched double cover of a knot recovering some results of livingston and naik the statements depend only on the homology groups of the 3manifolds but are proven through an analysis of correction terms and their behavior under connected sums
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1,803.07932
C-image partition regularity near zero
In \cite{dehind1}, the concept of image partition regularity near zero was first instigated. In contrast to the finite case , infinite image partition regular matrices near zero are very fascinating to analyze. In this regard the abstraction of Centrally image partition regular matrices near zero was introduced in \cite{biswaspaul}. In this paper we propose the notion of matrices that are C-image partition regular near zero for dense subsemigropus of $((0,\infty),+)$.
math.GN math.CO math.GR
in citedehind1 the concept of image partition regularity near zero was first instigated in contrast to the finite case infinite image partition regular matrices near zero are very fascinating to analyze in this regard the abstraction of centrally image partition regular matrices near zero was introduced in citebiswaspaul in this paper we propose the notion of matrices that are cimage partition regular near zero for dense subsemigropus of 0infty
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1,803.07933
Neutrino mixing in SO(10) GUTs with non-abelian flavor symmetry in the hidden sector
The relation between the mixing matrices of leptons and quarks: $U_{\rm{PMNS}} \approx V_{\rm{CKM}}^\dagger U_0$, where $U_0$ is a matrix of special forms (e.g. BM, TBM), can be a clue for understanding the lepton mixing and neutrino masses. It may imply the Grand unification and existence of a hidden sector with certain symmetry which generates $U_0$ and leads to the smallness of neutrino masses. We apply the residual symmetry approach to obtain $U_0$. The residual symmetries of both the visible and hidden sectors are $\mathbb{Z}_{2} \times \mathbb{Z}_{2}$. Their embedding in a unified flavor group is considered. We find that there are only several possible structures of $U_0$, including the BM mixing and matrices with elements determined by the golden ratio. Realization of the BM scenario based on the $SO(10)$ GUT with the $S_4$ flavor group is presented. Generic features of this scenario are discussed, in particular, the prediction of CP phase $144^{\circ}\lesssim\delta_{\rm CP}\lesssim 210^{\circ}$ in the minimal version.
hep-ph hep-ex
the relation between the mixing matrices of leptons and quarks u_rmpmns approx v_rmckmdagger u_0 where u_0 is a matrix of special forms eg bm tbm can be a clue for understanding the lepton mixing and neutrino masses it may imply the grand unification and existence of a hidden sector with certain symmetry which generates u_0 and leads to the smallness of neutrino masses we apply the residual symmetry approach to obtain u_0 the residual symmetries of both the visible and hidden sectors are mathbbz_2 times mathbbz_2 their embedding in a unified flavor group is considered we find that there are only several possible structures of u_0 including the bm mixing and matrices with elements determined by the golden ratio realization of the bm scenario based on the so10 gut with the s_4 flavor group is presented generic features of this scenario are discussed in particular the prediction of cp phase 144circlesssimdelta_rm cplesssim 210circ in the minimal version
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1,803.07934
Probing the quiet solar atmosphere from the photosphere to the corona
We investigate the morphology and temporal variability of a quiet Sun network region in different solar layers. The emission in several EUV spectral lines through both raster and slot time series, recorded by EIS/Hinode is studied along with H$\alpha$ observations and high resolution spectropolarimetric observations of the photospheric magnetic field. The photospheric magnetic field is extrapolated up to the corona showing a multitude of large and small scale structures. We show for the first time that the smallest magnetic structures both at the network and the internetwork contribute significantly to the emission in EUV lines, with temperatures ranging from 8 10$^{4}$ K to 6 10$^{5}$ K. Two components of transition region emission are present, one associated with small-scale loops that do not reach coronal temperatures and another one acting as an interface between coronal and chromospheric plasma. Both components are associated with persistent chromospheric structures. The temporal variability of the EUV intensity at the network region is also associated with chromospheric motions, pointing to a connection between transition region and chromospheric features. Intensity enhancements in the EUV transition region lines are preferentially produced by H$\alpha$ upflows. Examination of two individual chromospheric jets shows that their evolution is associated with intensity variations in transition region and coronal temperatures.
astro-ph.SR
we investigate the morphology and temporal variability of a quiet sun network region in different solar layers the emission in several euv spectral lines through both raster and slot time series recorded by eishinode is studied along with halpha observations and high resolution spectropolarimetric observations of the photospheric magnetic field the photospheric magnetic field is extrapolated up to the corona showing a multitude of large and small scale structures we show for the first time that the smallest magnetic structures both at the network and the internetwork contribute significantly to the emission in euv lines with temperatures ranging from 8 104 k to 6 105 k two components of transition region emission are present one associated with smallscale loops that do not reach coronal temperatures and another one acting as an interface between coronal and chromospheric plasma both components are associated with persistent chromospheric structures the temporal variability of the euv intensity at the network region is also associated with chromospheric motions pointing to a connection between transition region and chromospheric features intensity enhancements in the euv transition region lines are preferentially produced by halpha upflows examination of two individual chromospheric jets shows that their evolution is associated with intensity variations in transition region and coronal temperatures
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1,803.07935
Precision measurements of the scintillation pulse shape for low-energy recoils in liquid xenon
We present measurements of the scintillation pulse shape in liquid xenon for nuclear recoils (NR) and electronic recoils (ER) at electric fields of 0 to 0.5 kV/cm for energies $<$ 15 keV and $<$ 70 keV electron-equivalent, respectively. The average pulse shapes are well-described by an effective model with two exponential decay components, where both decay times are fit parameters. We find significant broadening of the pulse for ER due to delayed luminescence from the recombination process. In addition to the effective model, we fit a model describing the recombination luminescence for ER at zero field and obtain good agreement. We estimate the best performance of a combined S2/S1 and pulse shape ER/NR discrimination and show that even with 2 ns time resolution, the improvement over S2/S1 discrimination alone is marginal, so that pulse shape discrimination will likely not be useful for future dual-phase liquid xenon experiments looking for elastic dark matter recoil interactions.
physics.ins-det
we present measurements of the scintillation pulse shape in liquid xenon for nuclear recoils nr and electronic recoils er at electric fields of 0 to 05 kvcm for energies 15 kev and 70 kev electronequivalent respectively the average pulse shapes are welldescribed by an effective model with two exponential decay components where both decay times are fit parameters we find significant broadening of the pulse for er due to delayed luminescence from the recombination process in addition to the effective model we fit a model describing the recombination luminescence for er at zero field and obtain good agreement we estimate the best performance of a combined s2s1 and pulse shape ernr discrimination and show that even with 2 ns time resolution the improvement over s2s1 discrimination alone is marginal so that pulse shape discrimination will likely not be useful for future dualphase liquid xenon experiments looking for elastic dark matter recoil interactions
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1,803.07936
On the physical nature of globular cluster candidates in the Milky Way bulge
We present results from 2MASS JKs photometry on the physical reality of recently reported globular cluster (GC) candidates in the Milky Way (MW) bulge. We relied our analysis on photometric membership probabilities that allowed us to distinguish real stellar aggregates from the composite field star population. When building colour-magnitude diagrams and stellar density maps for stars at different membership probability levels, the genuine GC candidate populations are clearly highlighted. We then used the tip of the red giant branch (RGB) as distance estimator, resulting heliocentric distances that place many of the objects in regions near of the MW bulge where no GC had been previously recognised. Some few GC candidates resulted to be MW halo/disc objects.Metallicities estimated from the standard RGB method are in agreement with the values expected according to the position of the GC candidates in the Galaxy. We finally derived from the first time their structural parameters. We found that the studied objects have core, half-light and tidal radii in the ranges spanned by the population of known MW GCs. Their internal dynamical evolutionary stages will be described properly when their masses are estimated.
astro-ph.GA
we present results from 2mass jks photometry on the physical reality of recently reported globular cluster gc candidates in the milky way mw bulge we relied our analysis on photometric membership probabilities that allowed us to distinguish real stellar aggregates from the composite field star population when building colourmagnitude diagrams and stellar density maps for stars at different membership probability levels the genuine gc candidate populations are clearly highlighted we then used the tip of the red giant branch rgb as distance estimator resulting heliocentric distances that place many of the objects in regions near of the mw bulge where no gc had been previously recognised some few gc candidates resulted to be mw halodisc objectsmetallicities estimated from the standard rgb method are in agreement with the values expected according to the position of the gc candidates in the galaxy we finally derived from the first time their structural parameters we found that the studied objects have core halflight and tidal radii in the ranges spanned by the population of known mw gcs their internal dynamical evolutionary stages will be described properly when their masses are estimated
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1,803.07937
The Augustin Capacity and Center
For any channel, the existence of a unique Augustin mean is established for any positive order and probability mass function on the input set. The Augustin mean is shown to be the unique fixed point of an operator defined in terms of the order and the input distribution. The Augustin information is shown to be continuously differentiable in the order. For any channel and convex constraint set with finite Augustin capacity, the existence of a unique Augustin center and the associated van Erven-Harremoes bound are established. The Augustin-Legendre (A-L) information, capacity, center, and radius are introduced and the latter three are proved to be equal to the corresponding Renyi-Gallager quantities. The equality of the A-L capacity to the A-L radius for arbitrary channels and the existence of a unique A-L center for channels with finite A-L capacity are established. For all interior points of the feasible set of cost constraints, the cost constrained Augustin capacity and center are expressed in terms of the A-L capacity and center. Certain shift invariant families of probabilities and certain Gaussian channels are analyzed as examples.
cs.IT math.IT
for any channel the existence of a unique augustin mean is established for any positive order and probability mass function on the input set the augustin mean is shown to be the unique fixed point of an operator defined in terms of the order and the input distribution the augustin information is shown to be continuously differentiable in the order for any channel and convex constraint set with finite augustin capacity the existence of a unique augustin center and the associated van ervenharremoes bound are established the augustinlegendre al information capacity center and radius are introduced and the latter three are proved to be equal to the corresponding renyigallager quantities the equality of the al capacity to the al radius for arbitrary channels and the existence of a unique al center for channels with finite al capacity are established for all interior points of the feasible set of cost constraints the cost constrained augustin capacity and center are expressed in terms of the al capacity and center certain shift invariant families of probabilities and certain gaussian channels are analyzed as examples
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1,803.07938
Tracking Control of Marine Craft in the port-Hamiltonian Framework: A Virtual Differential Passivity Approach
In this work we propose a family of trajectory tracking controllers for marine craft in the port-Hamiltonian (pH) framework using virtual differential passivity based control (v-dPBC). Two pH models of marine craft are considered, one in a body frame and another in an inertial frame. The structure and workless forces of pH models are exploited to design two virtual control systems which are related to the original marine craft's pH models. These virtual systems are rendered differentially passive with an imposed steady-state trajectory, both by means of a control scheme. Finally, the original marine craft pH models in closed-loop with above controllers solve the trajectory tracking problem. The performance of the closedloop system is evaluated on numerical simulations.
cs.SY
in this work we propose a family of trajectory tracking controllers for marine craft in the porthamiltonian ph framework using virtual differential passivity based control vdpbc two ph models of marine craft are considered one in a body frame and another in an inertial frame the structure and workless forces of ph models are exploited to design two virtual control systems which are related to the original marine crafts ph models these virtual systems are rendered differentially passive with an imposed steadystate trajectory both by means of a control scheme finally the original marine craft ph models in closedloop with above controllers solve the trajectory tracking problem the performance of the closedloop system is evaluated on numerical simulations
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1,803.07939
Remarks on Jordan derivations over matrix algebras
Let C be a commutative ring with unity. In this article, we show that every Jordan derivation over an upper triangular matrix algebra T_n(C) is an inner derivation. Further, we extend the result for Jordan derivation on full matrix algebra M_n(C).
math.RA
let c be a commutative ring with unity in this article we show that every jordan derivation over an upper triangular matrix algebra t_nc is an inner derivation further we extend the result for jordan derivation on full matrix algebra m_nc
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1,803.0794
Communication-based Decentralized Cooperative Object Transportation Using Nonlinear Model Predictive Control
This paper addresses the problem of cooperative transportation of an object rigidly grasped by N robotic agents. We propose a Nonlinear Model Predictive Control (NMPC) scheme that guarantees the navigation of the object to a desired pose in a bounded workspace with obstacles, while complying with certain input saturations of the agents. The control scheme is based on inter-agent communication and is decentralized in the sense that each agent calculates its own control signal. Moreover, the proposed methodology ensures that the agents do not collide with each other or with the workspace obstacles as well as that they do not pass through singular configurations. The feasibility and convergence analysis of the NMPC are explicitly provided. Finally, simulation results illustrate the validity and efficiency of the proposed method.
cs.RO
this paper addresses the problem of cooperative transportation of an object rigidly grasped by n robotic agents we propose a nonlinear model predictive control nmpc scheme that guarantees the navigation of the object to a desired pose in a bounded workspace with obstacles while complying with certain input saturations of the agents the control scheme is based on interagent communication and is decentralized in the sense that each agent calculates its own control signal moreover the proposed methodology ensures that the agents do not collide with each other or with the workspace obstacles as well as that they do not pass through singular configurations the feasibility and convergence analysis of the nmpc are explicitly provided finally simulation results illustrate the validity and efficiency of the proposed method
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1,803.07941
Jordan {g, h}-derivations on algebra of matrices
In this article, we show that every Jordan {g, h}-derivation over T_n(C) is a {g, h}-derivation under an assumption, where C is a commutative ring with unity 1 not equal to 0. We give an example of a Jordan {g, h}-derivation over T_n(C) which is not a {g, h}-derivation. Also, we study Jordan {g, h}-derivation over M_n(C).
math.RA
in this article we show that every jordan g hderivation over t_nc is a g hderivation under an assumption where c is a commutative ring with unity 1 not equal to 0 we give an example of a jordan g hderivation over t_nc which is not a g hderivation also we study jordan g hderivation over m_nc
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1,803.07942
Alternative angular variables for suppression of QCD multijet events in new physics searches with missing transverse momentum at the LHC
We introduce three alternative angular variables-denoted by $\tilde{\omega}_\text{min}$, $\hat{\omega}_\text{min}$, and $\chi_\text{min}$-for QCD multijet event suppression in supersymmetry searches in events with large missing transverse momentum in proton-proton collisions at the LHC at CERN. In searches in all-hadronic final states in the CMS and ATLAS experiments, the angle $\Delta\varphi_i$, the azimuthal angle between a jet and the missing transverse momentum, is widely used to reduce QCD multijet background events with large missing transverse momentum, which is primarily caused by a jet momentum mismeasurement or neutrinos in hadron decays-the missing transverse momentum is aligned with a jet. A related angular variable-denoted by $\Delta\varphi^*_\text{min}$, the minimum of the azimuthal angles between a jet and the transverse momentum imbalance of the other jets in the event-is used instead in a series of searches in all-hadronic final states in CMS to suppress QCD multijet background events to a negligible level. In this paper, before introducing the alternative variables, we review the variable $\Delta\varphi^*_\text{min}$ in detail and identify room for improvement, in particular, to maintain good acceptances for signal models with high jet multiplicity final states. Furthermore, we demonstrate with simulated event samples that $\hat{\omega}_\text{min}$ and $\chi_\text{min}$ considerably outperform $\Delta\varphi^*_\text{min}$ and $\Delta\varphi_i$ in rejecting QCD multijet background events and that $\hat{\omega}_\text{min}$ and $\tilde{\omega}_\text{min}$ are also useful for reducing the total standard model background events.
hep-ph
we introduce three alternative angular variablesdenoted by tildeomega_textmin hatomega_textmin and chi_textminfor qcd multijet event suppression in supersymmetry searches in events with large missing transverse momentum in protonproton collisions at the lhc at cern in searches in allhadronic final states in the cms and atlas experiments the angle deltavarphi_i the azimuthal angle between a jet and the missing transverse momentum is widely used to reduce qcd multijet background events with large missing transverse momentum which is primarily caused by a jet momentum mismeasurement or neutrinos in hadron decaysthe missing transverse momentum is aligned with a jet a related angular variabledenoted by deltavarphi_textmin the minimum of the azimuthal angles between a jet and the transverse momentum imbalance of the other jets in the eventis used instead in a series of searches in allhadronic final states in cms to suppress qcd multijet background events to a negligible level in this paper before introducing the alternative variables we review the variable deltavarphi_textmin in detail and identify room for improvement in particular to maintain good acceptances for signal models with high jet multiplicity final states furthermore we demonstrate with simulated event samples that hatomega_textmin and chi_textmin considerably outperform deltavarphi_textmin and deltavarphi_i in rejecting qcd multijet background events and that hatomega_textmin and tildeomega_textmin are also useful for reducing the total standard model background events
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1,803.07943
Precise predictions for same-sign W-boson scattering at the LHC
Vector-boson scattering processes are of great importance for the current run-II and future runs of the Large Hadron Collider. The presence of triple and quartic gauge couplings in the process gives access to the gauge sector of the Standard Model (SM) and possible new-physics contributions there. To test any new-physics hypothesis, sound knowledge of the SM contributions is necessary, with a precision which at least matches the experimental uncertainties of existing and forthcoming measurements. In this article we present a detailed study of the vector-boson scattering process with two positively-charged leptons and missing transverse momentum in the final state. In particular, we first carry out a systematic comparison of the various approximations that are usually performed for this kind of process against the complete calculation, at LO and NLO QCD accuracy. Such a study is performed both in the usual fiducial region used by experimental collaborations and in a more inclusive phase space, where the differences among the various approximations lead to more sizeable effects. Afterwards, we turn to predictions matched to parton showers, at LO and NLO: we show that on the one hand, the inclusion of NLO QCD corrections leads to more stable predictions, but on the other hand the details of the matching and of the parton-shower programs cause differences which are considerably larger than those observed at fixed order, even in the experimental fiducial region. We conclude with recommendations for experimental studies of vector-boson scattering processes.
hep-ph
vectorboson scattering processes are of great importance for the current runii and future runs of the large hadron collider the presence of triple and quartic gauge couplings in the process gives access to the gauge sector of the standard model sm and possible newphysics contributions there to test any newphysics hypothesis sound knowledge of the sm contributions is necessary with a precision which at least matches the experimental uncertainties of existing and forthcoming measurements in this article we present a detailed study of the vectorboson scattering process with two positivelycharged leptons and missing transverse momentum in the final state in particular we first carry out a systematic comparison of the various approximations that are usually performed for this kind of process against the complete calculation at lo and nlo qcd accuracy such a study is performed both in the usual fiducial region used by experimental collaborations and in a more inclusive phase space where the differences among the various approximations lead to more sizeable effects afterwards we turn to predictions matched to parton showers at lo and nlo we show that on the one hand the inclusion of nlo qcd corrections leads to more stable predictions but on the other hand the details of the matching and of the partonshower programs cause differences which are considerably larger than those observed at fixed order even in the experimental fiducial region we conclude with recommendations for experimental studies of vectorboson scattering processes
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1,803.07944
High energy neutrinos
We describe several components in the diffuse flux of high energy neutrinos reaching the Earth and discuss whether they could explain IceCube's observations. Then we focus on TeV neutrinos from the Sun. We show that this solar neutrino flux is correlated with the cosmic-ray shadow of the Sun measured by HAWC, and we find that it is much larger than the flux of atmospheric neutrinos. Stars like our Sun provide neutrinos with a very steep spectrum and no associated gammas. We argue that this is the type of contribution that could solve the main puzzle presented by the high energy IceCube data.
hep-ph astro-ph.HE
we describe several components in the diffuse flux of high energy neutrinos reaching the earth and discuss whether they could explain icecubes observations then we focus on tev neutrinos from the sun we show that this solar neutrino flux is correlated with the cosmicray shadow of the sun measured by hawc and we find that it is much larger than the flux of atmospheric neutrinos stars like our sun provide neutrinos with a very steep spectrum and no associated gammas we argue that this is the type of contribution that could solve the main puzzle presented by the high energy icecube data
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1,803.07945
Mean free path and shear viscosity in central $^{129}$Xe+$^{119}$Sn collisions below 100 MeV/nucleon
Thermal and transport properties of hot nuclear matter formed in central $^{129}$Xe + $^{119}$Sn collisions at the Fermi energy are investigated using the isospin-dependent quantum molecular dynamical (IQMD) model. Temperature ($T$), average density ($\rho$), chemical potential ($\mu$), mean momentum ($P$), shear viscosity ($\eta$) and entropy density ($s$) are obtained from the phase-space information. The mean free path ($\lambda_{nn}$) and the in-medium nucleon-nucleon cross section ($\sigma_{nn}$) in the highest compressible stage at different incident energies are deduced and compared with the experimental results from Phys. Rev. C $\bf{90}$ (2014) 064602. The result shows that $\lambda_{nn}$ and $\sigma_{nn}$ have the same trend and similar values as the experimental results when the beam energy is greater than 40 MeV/u at maximum compressed state. Furthermore, the derived shear viscosity over entropy density ($\eta/s$) shows a decreasing behaviour to a saturated value around $\frac{3}{4\pi}$ as a function of incident energy.
nucl-th nucl-ex
thermal and transport properties of hot nuclear matter formed in central 129xe 119sn collisions at the fermi energy are investigated using the isospindependent quantum molecular dynamical iqmd model temperature t average density rho chemical potential mu mean momentum p shear viscosity eta and entropy density s are obtained from the phasespace information the mean free path lambda_nn and the inmedium nucleonnucleon cross section sigma_nn in the highest compressible stage at different incident energies are deduced and compared with the experimental results from phys rev c bf90 2014 064602 the result shows that lambda_nn and sigma_nn have the same trend and similar values as the experimental results when the beam energy is greater than 40 mevu at maximum compressed state furthermore the derived shear viscosity over entropy density etas shows a decreasing behaviour to a saturated value around frac34pi as a function of incident energy
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1,803.07946
Solutions concentrating around the saddle points of the potential for Schr\"{o}dinger equations with critical exponential growth
In this paper, we deal with the following nonlinear Schr\"odinger equation $$ -\epsilon^2\Delta u+V(x)u=f(u),\ u\in H^1(\mathbb R^2), $$ where $f(t)$ has critical growth of Trudinger-Moser type. By using the variational techniques, we construct a positive solution $u_\epsilon$ concentrating around the saddle points of the potential $V(x)$ as $\epsilon\rightarrow 0$. Our results complete the analysis made in \cite{MR2900480} and \cite{MR3426106}, where the Schr\"odinger equation was studied in $\mathbb R^N$, $N\geq 3$ for sub-critical and critical case respectively in the sense of Sobolev embedding. Moreover, we relax the monotonicity condition on the nonlinear term $f(t)/t$ together with a compactness assumption on the potential $V(x)$, imposed in \cite{MR3503193}.
math.AP
in this paper we deal with the following nonlinear schrodinger equation epsilon2delta uvxufu uin h1mathbb r2 where ft has critical growth of trudingermoser type by using the variational techniques we construct a positive solution u_epsilon concentrating around the saddle points of the potential vx as epsilonrightarrow 0 our results complete the analysis made in citemr2900480 and citemr3426106 where the schrodinger equation was studied in mathbb rn ngeq 3 for subcritical and critical case respectively in the sense of sobolev embedding moreover we relax the monotonicity condition on the nonlinear term ftt together with a compactness assumption on the potential vx imposed in citemr3503193
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1,803.07947
Crowd-Machine Collaboration for Item Screening
In this paper we describe how crowd and machine classifier can be efficiently combined to screen items that satisfy a set of predicates. We show that this is a recurring problem in many domains, present machine-human (hybrid) algorithms that screen items efficiently and estimate the gain over human-only or machine-only screening in terms of performance and cost.
cs.HC cs.LG
in this paper we describe how crowd and machine classifier can be efficiently combined to screen items that satisfy a set of predicates we show that this is a recurring problem in many domains present machinehuman hybrid algorithms that screen items efficiently and estimate the gain over humanonly or machineonly screening in terms of performance and cost
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1,803.07948
Higher Lelong numbers and convex geometry
We prove the reversed Alexandrov-Fenchel inequality for mixed Monge-Amp\`ere masses of plurisubharmonic functions, which generalizes a result of Demailly and Pham. As applications to convex geometry, this gives a complex analytic proof of the reversed Alexandrov-Fenchel inequality for mixed covolumes, which generalizes recent results in convex geometry of Kaveh-Khovanskii, Khovanskii-Timorin, Milman-Rotem and R. Schneider on reversed (or complemented) Brunn-Minkowski and Alexandrov-Fenchel inequalities. Also for toric plurisubharmonic functions in the Cegrell class, we confirm Demailly's conjecture on the convergence of higher Lelong numbers under the canonical approximation.
math.CV math.AG math.MG
we prove the reversed alexandrovfenchel inequality for mixed mongeampere masses of plurisubharmonic functions which generalizes a result of demailly and pham as applications to convex geometry this gives a complex analytic proof of the reversed alexandrovfenchel inequality for mixed covolumes which generalizes recent results in convex geometry of kavehkhovanskii khovanskiitimorin milmanrotem and r schneider on reversed or complemented brunnminkowski and alexandrovfenchel inequalities also for toric plurisubharmonic functions in the cegrell class we confirm demaillys conjecture on the convergence of higher lelong numbers under the canonical approximation
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1,803.07949
Spin caloric effects in antiferromagnets assisted by an external spin current
Searching for novel spin caloric effects in antiferromagnets we study the properties of thermally activated magnons in the presence of an external spin current and temperature gradient. We predict the spin Peltier effect -- generation of a heat flux by spin accumulation -- in an antiferromagnetic insulator with cubic or uniaxial magnetic symmetry. This effect is related with spin-current induced splitting of the relaxation times of the magnons with opposite spin direction. We show that the Peltier effect can trigger antiferromagnetic domain wall motion with a force whose value grows with the temperature of a sample. At a temperature, larger than the energy of the low-frequency magnons, this force is much larger than the force caused by direct spin transfer between the spin current and the domain wall. We also demonstrate that the external spin current can induce the magnon spin Seebeck effect. The corresponding Seebeck coefficient is controlled by the current density. These spin-current assisted caloric effects open new ways for the manipulation of the magnetic states in antiferromagnets.
cond-mat.mes-hall
searching for novel spin caloric effects in antiferromagnets we study the properties of thermally activated magnons in the presence of an external spin current and temperature gradient we predict the spin peltier effect generation of a heat flux by spin accumulation in an antiferromagnetic insulator with cubic or uniaxial magnetic symmetry this effect is related with spincurrent induced splitting of the relaxation times of the magnons with opposite spin direction we show that the peltier effect can trigger antiferromagnetic domain wall motion with a force whose value grows with the temperature of a sample at a temperature larger than the energy of the lowfrequency magnons this force is much larger than the force caused by direct spin transfer between the spin current and the domain wall we also demonstrate that the external spin current can induce the magnon spin seebeck effect the corresponding seebeck coefficient is controlled by the current density these spincurrent assisted caloric effects open new ways for the manipulation of the magnetic states in antiferromagnets
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1,803.0795
End-to-End Video Captioning with Multitask Reinforcement Learning
Although end-to-end (E2E) learning has led to impressive progress on a variety of visual understanding tasks, it is often impeded by hardware constraints (e.g., GPU memory) and is prone to overfitting. When it comes to video captioning, one of the most challenging benchmark tasks in computer vision, those limitations of E2E learning are especially amplified by the fact that both the input videos and output captions are lengthy sequences. Indeed, state-of-the-art methods for video captioning process video frames by convolutional neural networks and generate captions by unrolling recurrent neural networks. If we connect them in an E2E manner, the resulting model is both memory-consuming and data-hungry, making it extremely hard to train. In this paper, we propose a multitask reinforcement learning approach to training an E2E video captioning model. The main idea is to mine and construct as many effective tasks (e.g., attributes, rewards, and the captions) as possible from the human captioned videos such that they can jointly regulate the search space of the E2E neural network, from which an E2E video captioning model can be found and generalized to the testing phase. To the best of our knowledge, this is the first video captioning model that is trained end-to-end from the raw video input to the caption output. Experimental results show that such a model outperforms existing ones to a large margin on two benchmark video captioning datasets.
cs.CV
although endtoend e2e learning has led to impressive progress on a variety of visual understanding tasks it is often impeded by hardware constraints eg gpu memory and is prone to overfitting when it comes to video captioning one of the most challenging benchmark tasks in computer vision those limitations of e2e learning are especially amplified by the fact that both the input videos and output captions are lengthy sequences indeed stateoftheart methods for video captioning process video frames by convolutional neural networks and generate captions by unrolling recurrent neural networks if we connect them in an e2e manner the resulting model is both memoryconsuming and datahungry making it extremely hard to train in this paper we propose a multitask reinforcement learning approach to training an e2e video captioning model the main idea is to mine and construct as many effective tasks eg attributes rewards and the captions as possible from the human captioned videos such that they can jointly regulate the search space of the e2e neural network from which an e2e video captioning model can be found and generalized to the testing phase to the best of our knowledge this is the first video captioning model that is trained endtoend from the raw video input to the caption output experimental results show that such a model outperforms existing ones to a large margin on two benchmark video captioning datasets
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1,803.07951
Testing Continuity of a Density via g-order statistics in the Regression Discontinuity Design
In the regression discontinuity design (RDD), it is common practice to assess the credibility of the design by testing the continuity of the density of the running variable at the cut-off, e.g., McCrary (2008). In this paper we propose an approximate sign test for continuity of a density at a point based on the so-called g-order statistics, and study its properties under two complementary asymptotic frameworks. In the first asymptotic framework, the number q of observations local to the cut-off is fixed as the sample size n diverges to infinity, while in the second framework q diverges to infinity slowly as n diverges to infinity. Under both of these frameworks, we show that the test we propose is asymptotically valid in the sense that it has limiting rejection probability under the null hypothesis not exceeding the nominal level. More importantly, the test is easy to implement, asymptotically valid under weaker conditions than those used by competing methods, and exhibits finite sample validity under stronger conditions than those needed for its asymptotic validity. In a simulation study, we find that the approximate sign test provides good control of the rejection probability under the null hypothesis while remaining competitive under the alternative hypothesis. We finally apply our test to the design in Lee (2008), a well-known application of the RDD to study incumbency advantage.
econ.EM
in the regression discontinuity design rdd it is common practice to assess the credibility of the design by testing the continuity of the density of the running variable at the cutoff eg mccrary 2008 in this paper we propose an approximate sign test for continuity of a density at a point based on the socalled gorder statistics and study its properties under two complementary asymptotic frameworks in the first asymptotic framework the number q of observations local to the cutoff is fixed as the sample size n diverges to infinity while in the second framework q diverges to infinity slowly as n diverges to infinity under both of these frameworks we show that the test we propose is asymptotically valid in the sense that it has limiting rejection probability under the null hypothesis not exceeding the nominal level more importantly the test is easy to implement asymptotically valid under weaker conditions than those used by competing methods and exhibits finite sample validity under stronger conditions than those needed for its asymptotic validity in a simulation study we find that the approximate sign test provides good control of the rejection probability under the null hypothesis while remaining competitive under the alternative hypothesis we finally apply our test to the design in lee 2008 a wellknown application of the rdd to study incumbency advantage
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1,803.07952
An Exercise Fatigue Detection Model Based on Machine Learning Methods
This study proposes an exercise fatigue detection model based on real-time clinical data which includes time domain analysis, frequency domain analysis, detrended fluctuation analysis, approximate entropy, and sample entropy. Furthermore, this study proposed a feature extraction method which is combined with an analytical hierarchy process to analyze and extract critical features. Finally, machine learning algorithms were adopted to analyze the data of each feature for the detection of exercise fatigue. The practical experimental results showed that the proposed exercise fatigue detection model and feature extraction method could precisely detect the level of exercise fatigue, and the accuracy of exercise fatigue detection could be improved up to 98.65%.
stat.ML cs.LG
this study proposes an exercise fatigue detection model based on realtime clinical data which includes time domain analysis frequency domain analysis detrended fluctuation analysis approximate entropy and sample entropy furthermore this study proposed a feature extraction method which is combined with an analytical hierarchy process to analyze and extract critical features finally machine learning algorithms were adopted to analyze the data of each feature for the detection of exercise fatigue the practical experimental results showed that the proposed exercise fatigue detection model and feature extraction method could precisely detect the level of exercise fatigue and the accuracy of exercise fatigue detection could be improved up to 9865
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1,803.07953
Jordan left {g, h}-derivations over some algebras
In this article, left {g, h}-derivation and Jordan left {g, h}-derivation on algebras are introduced. It is shown that there is no Jordan left {g, h}-derivation over $\mathcal{M}_n(C)$ and $\mathbb{H}_{\mathbb{R}}$, for g not equal to h. Examples are given which show that every Jordan left $\{g, h\}$-derivation over $\mathcal{T}_n(C)$, $\mathcal{M}_n(C)$ and $\mathbb{H}_{\mathbb{R}}$ are not left $\{g, h\}$-derivations. Moreover, we characterize left $\{g, h\}$-derivation and Jordan left $\{g, h\}$-derivation over $\mathcal{T}_n(C)$, $\mathcal{M}_n(C)$ and $\mathbb{H}_{\mathbb{R}}$ respectively. Also, we prove the result of Jordan left $\{g, h\}$-derivation to be a left $\{g, h\}$-derivation over tensor products of algebras as well as for algebra of polynomials.
math.RA
in this article left g hderivation and jordan left g hderivation on algebras are introduced it is shown that there is no jordan left g hderivation over mathcalm_nc and mathbbh_mathbbr for g not equal to h examples are given which show that every jordan left g hderivation over mathcalt_nc mathcalm_nc and mathbbh_mathbbr are not left g hderivations moreover we characterize left g hderivation and jordan left g hderivation over mathcalt_nc mathcalm_nc and mathbbh_mathbbr respectively also we prove the result of jordan left g hderivation to be a left g hderivation over tensor products of algebras as well as for algebra of polynomials
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1,803.07954
Resilient Monotone Sequential Maximization
Applications in machine learning, optimization, and control require the sequential selection of a few system elements, such as sensors, data, or actuators, to optimize the system performance across multiple time steps. However, in failure-prone and adversarial environments, sensors get attacked, data get deleted, and actuators fail. Thence, traditional sequential design paradigms become insufficient and, in contrast, resilient sequential designs that adapt against system-wide attacks, deletions, or failures become important. In general, resilient sequential design problems are computationally hard. Also, even though they often involve objective functions that are monotone and (possibly) submodular, no scalable approximation algorithms are known for their solution. In this paper, we provide the first scalable algorithm, that achieves the following characteristics: system-wide resiliency, i.e., the algorithm is valid for any number of denial-of-service attacks, deletions, or failures; adaptiveness, i.e., at each time step, the algorithm selects system elements based on the history of inflicted attacks, deletions, or failures; and provable approximation performance, i.e., the algorithm guarantees for monotone objective functions a solution close to the optimal. We quantify the algorithm's approximation performance using a notion of curvature for monotone (not necessarily submodular) set functions. Finally, we support our theoretical analyses with simulated experiments, by considering a control-aware sensor scheduling scenario, namely, sensing-constrained robot navigation.
stat.ML cs.LG math.OC
applications in machine learning optimization and control require the sequential selection of a few system elements such as sensors data or actuators to optimize the system performance across multiple time steps however in failureprone and adversarial environments sensors get attacked data get deleted and actuators fail thence traditional sequential design paradigms become insufficient and in contrast resilient sequential designs that adapt against systemwide attacks deletions or failures become important in general resilient sequential design problems are computationally hard also even though they often involve objective functions that are monotone and possibly submodular no scalable approximation algorithms are known for their solution in this paper we provide the first scalable algorithm that achieves the following characteristics systemwide resiliency ie the algorithm is valid for any number of denialofservice attacks deletions or failures adaptiveness ie at each time step the algorithm selects system elements based on the history of inflicted attacks deletions or failures and provable approximation performance ie the algorithm guarantees for monotone objective functions a solution close to the optimal we quantify the algorithms approximation performance using a notion of curvature for monotone not necessarily submodular set functions finally we support our theoretical analyses with simulated experiments by considering a controlaware sensor scheduling scenario namely sensingconstrained robot navigation
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1,803.07955
A Cascaded Convolutional Neural Network for Single Image Dehazing
Images captured under outdoor scenes usually suffer from low contrast and limited visibility due to suspended atmospheric particles, which directly affects the quality of photos. Despite numerous image dehazing methods have been proposed, effective hazy image restoration remains a challenging problem. Existing learning-based methods usually predict the medium transmission by Convolutional Neural Networks (CNNs), but ignore the key global atmospheric light. Different from previous learning-based methods, we propose a flexible cascaded CNN for single hazy image restoration, which considers the medium transmission and global atmospheric light jointly by two task-driven subnetworks. Specifically, the medium transmission estimation subnetwork is inspired by the densely connected CNN while the global atmospheric light estimation subnetwork is a light-weight CNN. Besides, these two subnetworks are cascaded by sharing the common features. Finally, with the estimated model parameters, the haze-free image is obtained by the atmospheric scattering model inversion, which achieves more accurate and effective restoration performance. Qualitatively and quantitatively experimental results on the synthetic and real-world hazy images demonstrate that the proposed method effectively removes haze from such images, and outperforms several state-of-the-art dehazing methods.
cs.CV
images captured under outdoor scenes usually suffer from low contrast and limited visibility due to suspended atmospheric particles which directly affects the quality of photos despite numerous image dehazing methods have been proposed effective hazy image restoration remains a challenging problem existing learningbased methods usually predict the medium transmission by convolutional neural networks cnns but ignore the key global atmospheric light different from previous learningbased methods we propose a flexible cascaded cnn for single hazy image restoration which considers the medium transmission and global atmospheric light jointly by two taskdriven subnetworks specifically the medium transmission estimation subnetwork is inspired by the densely connected cnn while the global atmospheric light estimation subnetwork is a lightweight cnn besides these two subnetworks are cascaded by sharing the common features finally with the estimated model parameters the hazefree image is obtained by the atmospheric scattering model inversion which achieves more accurate and effective restoration performance qualitatively and quantitatively experimental results on the synthetic and realworld hazy images demonstrate that the proposed method effectively removes haze from such images and outperforms several stateoftheart dehazing methods
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1,803.07956
A note on $\sigma$-algebras on sets of affine and measurable maps to the unit interval
In The factorization of the Giry monad (arXiv:1707.00488v2) the author considers two $\sigma$-algebras on convex spaces of functions to the unit interval. One of them is generated by the Boolean subobjects and the other is the $\sigma$-algebra induced by the evaluation maps. The author asserts that, under the assumptions given in the paper, the two $\sigma$-algebras coincide. We give examples contradicting this statement.
math.CT
in the factorization of the giry monad arxiv170700488v2 the author considers two sigmaalgebras on convex spaces of functions to the unit interval one of them is generated by the boolean subobjects and the other is the sigmaalgebra induced by the evaluation maps the author asserts that under the assumptions given in the paper the two sigmaalgebras coincide we give examples contradicting this statement
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1,803.07957
Multicolor Photometry of the Neptune Irregular Satellite Neso
We report on time series photometry of the faint Neptune irregular satellite Neso. Observations in the V, R, and I pass-bands were performed in photometric conditions at the Cerro Paranal observatory using the instrument FORS2, in the night of July 15th, 2010. Astrometry and photometry derived from these observations are presented here. The time coverage of about six hours does not allow to construct a light curve and derive a meaningful rotational period. However, we could derive new estimates of apparent magnitudes obtaining R=25.2 pm 0.2 mag in agreement with Brozovic, Jacobson, Sheppard (2011), and also V=25.6 pm 0.3 mag, and I=24.5 pm 0.3. In this way we could derive for the first time Neso colors, V-I=1.0 pm 0.4 mag, R-I=0.7 pm 0.4 mag and V-R=0.3 pm 0.4 mag. We compared those colors with those in Peixinho, Delsanti, Doressoundiram (2015). The color R-I appears to be slightly redder than the typical values for Centaurs and KBOs, the color V-I is in nice agreement with both populations. The large error-bars prevents from assigning Neso to any of the reference classes, just looking at Neso colors, although the data seem to suggest that we can rule out its membership in classes of resonant objects or Plutinos.
astro-ph.EP
we report on time series photometry of the faint neptune irregular satellite neso observations in the v r and i passbands were performed in photometric conditions at the cerro paranal observatory using the instrument fors2 in the night of july 15th 2010 astrometry and photometry derived from these observations are presented here the time coverage of about six hours does not allow to construct a light curve and derive a meaningful rotational period however we could derive new estimates of apparent magnitudes obtaining r252 pm 02 mag in agreement with brozovic jacobson sheppard 2011 and also v256 pm 03 mag and i245 pm 03 in this way we could derive for the first time neso colors vi10 pm 04 mag ri07 pm 04 mag and vr03 pm 04 mag we compared those colors with those in peixinho delsanti doressoundiram 2015 the color ri appears to be slightly redder than the typical values for centaurs and kbos the color vi is in nice agreement with both populations the large errorbars prevents from assigning neso to any of the reference classes just looking at neso colors although the data seem to suggest that we can rule out its membership in classes of resonant objects or plutinos
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1,803.07958
Sub-picosecond proton tunnelling in deformed DNA hydrogen bonds under an asymmetric double-oscillator model
We present a model of proton tunnelling across DNA hydrogen bonds, compute the characteristic tunnelling time (CTT) from donor to acceptor and discuss its biological implications. The model is a double oscillator characterised by three geometry parameters describing planar deformations of the H bond, and a symmetry parameter representing the energy ratio between ground states in the individual oscillators. If the symmetry parameter takes its maximum value of 1, then we recover a known model which produced CTTs too large to be biologically relevant; but this is reduced by up to 40 orders of magnitude as the symmetry parameter is decreased. We discover that unless the symmetry parameter is close to 1 or 0, the proton's CTT under any planar deformation is guaranteed to be below one picosecond, which is a biologically relevant time-scale. This supports theories of links between proton tunnelling and biological processes such as spontaneous mutation.
physics.bio-ph
we present a model of proton tunnelling across dna hydrogen bonds compute the characteristic tunnelling time ctt from donor to acceptor and discuss its biological implications the model is a double oscillator characterised by three geometry parameters describing planar deformations of the h bond and a symmetry parameter representing the energy ratio between ground states in the individual oscillators if the symmetry parameter takes its maximum value of 1 then we recover a known model which produced ctts too large to be biologically relevant but this is reduced by up to 40 orders of magnitude as the symmetry parameter is decreased we discover that unless the symmetry parameter is close to 1 or 0 the protons ctt under any planar deformation is guaranteed to be below one picosecond which is a biologically relevant timescale this supports theories of links between proton tunnelling and biological processes such as spontaneous mutation
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1,803.07959
Stability and optimality of multi-scale transportation networks with distributed dynamic tolls
We study transportation networks controlled by dynamical feedback tolls. We consider a multiscale transportation network model whereby the dynamics of the traffic flows are intertwined with those of the drivers' route choices. The latter are influenced by the congestion status on the whole network as well as dynamic tolls set by the system operator. Our main result shows that a broad class of decentralized congestion-dependent tolls globally stabilise the transportation network around a Wardrop equilibrium. Moreover, using dynamic marginal cost tolls, stability of the transportation network can be guaranteed around the social optimum traffic assignment. This is particularly remarkable as the considered decentralized feedback toll policies do not require any global information about the network structure or the exogenous traffic load on the network or state and can be computed in a fully local way. We also evaluate the performance of these feedback toll policies both in the asymptotic and during the transient regime, through numerical simulations.
math.OC
we study transportation networks controlled by dynamical feedback tolls we consider a multiscale transportation network model whereby the dynamics of the traffic flows are intertwined with those of the drivers route choices the latter are influenced by the congestion status on the whole network as well as dynamic tolls set by the system operator our main result shows that a broad class of decentralized congestiondependent tolls globally stabilise the transportation network around a wardrop equilibrium moreover using dynamic marginal cost tolls stability of the transportation network can be guaranteed around the social optimum traffic assignment this is particularly remarkable as the considered decentralized feedback toll policies do not require any global information about the network structure or the exogenous traffic load on the network or state and can be computed in a fully local way we also evaluate the performance of these feedback toll policies both in the asymptotic and during the transient regime through numerical simulations
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1,803.0796
Direct computational approach to lattice supersymmetric quantum mechanics
We propose a numerical method of estimating various physical quantities in lattice (supersymmetric) quantum mechanics. The method consists only of deterministic processes such as computing a product of transfer matrix, and has no statistical uncertainties. We use the numerical quadrature to define the transfer matrix as a finite dimensional matrix, and find that it effectively works by rescaling variable for sufficiently small lattice spacings. For a lattice supersymmetric quantum mechanics, the correlators can be estimated without statistical errors, and the effective masses coincide with the exact solution within very small errors less than 0.001%. The SUSY Ward identity is also precisely studied in compared with the Monte-Carlo method. Our method is not limited to a lattice SUSY quantum mechanics, but is also applicable to any other lattice models of quantum mechanics.
hep-lat
we propose a numerical method of estimating various physical quantities in lattice supersymmetric quantum mechanics the method consists only of deterministic processes such as computing a product of transfer matrix and has no statistical uncertainties we use the numerical quadrature to define the transfer matrix as a finite dimensional matrix and find that it effectively works by rescaling variable for sufficiently small lattice spacings for a lattice supersymmetric quantum mechanics the correlators can be estimated without statistical errors and the effective masses coincide with the exact solution within very small errors less than 0001 the susy ward identity is also precisely studied in compared with the montecarlo method our method is not limited to a lattice susy quantum mechanics but is also applicable to any other lattice models of quantum mechanics
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1,803.07961
Modularity based community detection in heterogeneous networks
Heterogeneous networks are networks consisting of different types of nodes and multiple types of edges linking such nodes. While community detection has been extensively developed as a useful technique for analyzing networks that contain only one type of nodes, very few community detection techniques have been developed for heterogeneous networks. In this paper, we propose a modularity based community detection framework for heterogeneous networks. Unlike existing methods, the proposed approach has the flexibility to treat the number of communities as an unknown quantity. We describe a Louvain type maximization method for finding the community structure that maximizes the modularity function. Our simulation results show the advantages of the proposed method over existing methods. Moreover, the proposed modularity function is shown to be consistent under a heterogeneous stochastic blockmodel framework. Analyses of the DBLP four-area dataset and a MovieLens dataset demonstrate the usefulness of the proposed method.
cs.SI physics.soc-ph stat.ME
heterogeneous networks are networks consisting of different types of nodes and multiple types of edges linking such nodes while community detection has been extensively developed as a useful technique for analyzing networks that contain only one type of nodes very few community detection techniques have been developed for heterogeneous networks in this paper we propose a modularity based community detection framework for heterogeneous networks unlike existing methods the proposed approach has the flexibility to treat the number of communities as an unknown quantity we describe a louvain type maximization method for finding the community structure that maximizes the modularity function our simulation results show the advantages of the proposed method over existing methods moreover the proposed modularity function is shown to be consistent under a heterogeneous stochastic blockmodel framework analyses of the dblp fourarea dataset and a movielens dataset demonstrate the usefulness of the proposed method
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1,803.07962
Configurational stability for the Kuramoto-Sakaguchi model
The Kuramoto--Sakaguchi model is a modification of the well-known Kuramoto model that adds a phase-lag paramater, or "frustration" to a network of phase-coupled oscillators. The Kuramoto model is a flow of gradient type, but adding a phase-lag breaks the gradient structure, significantly complicating the analysis of the model. We present several results determining the stability of phase-locked configurations: the first of these gives a sufficient condition for stability, and the second a sufficient condition for instability. (In fact, the instability criterion gives a count, modulo 2, of the dimension of the unstable manifold to a fixed point and having an odd count is a sufficient condition for instability of the fixed point.) We also present numerical results for both small and large collections of Kuramoto--Sakaguchi oscillators.
math.DS nlin.AO nlin.PS
the kuramotosakaguchi model is a modification of the wellknown kuramoto model that adds a phaselag paramater or frustration to a network of phasecoupled oscillators the kuramoto model is a flow of gradient type but adding a phaselag breaks the gradient structure significantly complicating the analysis of the model we present several results determining the stability of phaselocked configurations the first of these gives a sufficient condition for stability and the second a sufficient condition for instability in fact the instability criterion gives a count modulo 2 of the dimension of the unstable manifold to a fixed point and having an odd count is a sufficient condition for instability of the fixed point we also present numerical results for both small and large collections of kuramotosakaguchi oscillators
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1,803.07963
A conjecture on Gallai-Ramsey numbers of even cycles and paths
A Gallai coloring is a coloring of the edges of a complete graph without rainbow triangles, and a Gallai $k$-coloring is a Gallai coloring that uses at most $k$ colors. Given an integer $k\ge1$ and graphs $H_1, \ldots, H_k$, the Gallai-Ramsey number $GR(H_1, \ldots, H_k)$ is the least integer $n$ such that every Gallai $k$-coloring of the complete graph $K_n$ contains a monochromatic copy of $H_i$ in color $i$ for some $i \in \{1,2, \ldots, k\}$. When $H = H_1 = \cdots = H_k$, we simply write $GR_k(H)$. We study Gallai-Ramsey numbers of even cycles and paths. For all $n\ge3$ and $k\ge2$, let $G_i=P_{2i+3}$ be a path on $2i+3$ vertices for all $i\in\{0,1, \ldots, n-2\}$ and $G_{n-1}\in\{C_{2n}, P_{2n+1}\}$. Let $ i_j\in\{0,1,\ldots, n-1 \}$ for all $j\in\{1,2, \ldots, k\}$ with $ i_1\ge i_2\ge\cdots\ge i_k $. The first author recently conjectured that $ GR(G_{i_1}, G_{i_2}, \ldots, G_{i_k}) = |G_{i_1}|+\sum_{j=2}^k i_j$. The truth of this conjecture implies that $GR_k(C_{2n})=GR_k(P_{2n})=(n-1)k+n+1$ for all $n\ge3$ and $k\ge1$, and $GR_k(P_{2n+1})=(n-1)k+n+2$ for all $n\ge1$ and $k\ge1$. In this paper, we prove that the aforementioned conjecture holds for $n\in\{3,4\}$ and all $k\ge2$. Our proof relies only on Gallai's result and the classical Ramsey numbers $R(H_1, H_2)$, where $H_1, H_2\in\{C_8, C_6, P_7, P_5, P_3\}$. We believe the recoloring method we developed here will be very useful for solving subsequent cases, and perhaps the conjecture.
math.CO
a gallai coloring is a coloring of the edges of a complete graph without rainbow triangles and a gallai kcoloring is a gallai coloring that uses at most k colors given an integer kge1 and graphs h_1 ldots h_k the gallairamsey number grh_1 ldots h_k is the least integer n such that every gallai kcoloring of the complete graph k_n contains a monochromatic copy of h_i in color i for some i in 12 ldots k when h h_1 cdots h_k we simply write gr_kh we study gallairamsey numbers of even cycles and paths for all nge3 and kge2 let g_ip_2i3 be a path on 2i3 vertices for all iin01 ldots n2 and g_n1inc_2n p_2n1 let i_jin01ldots n1 for all jin12 ldots k with i_1ge i_2gecdotsge i_k the first author recently conjectured that grg_i_1 g_i_2 ldots g_i_k g_i_1sum_j2k i_j the truth of this conjecture implies that gr_kc_2ngr_kp_2nn1kn1 for all nge3 and kge1 and gr_kp_2n1n1kn2 for all nge1 and kge1 in this paper we prove that the aforementioned conjecture holds for nin34 and all kge2 our proof relies only on gallais result and the classical ramsey numbers rh_1 h_2 where h_1 h_2inc_8 c_6 p_7 p_5 p_3 we believe the recoloring method we developed here will be very useful for solving subsequent cases and perhaps the conjecture
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1,803.07964
Stochastic Learning under Random Reshuffling with Constant Step-sizes
In empirical risk optimization, it has been observed that stochastic gradient implementations that rely on random reshuffling of the data achieve better performance than implementations that rely on sampling the data uniformly. Recent works have pursued justifications for this behavior by examining the convergence rate of the learning process under diminishing step-sizes. This work focuses on the constant step-size case and strongly convex loss function. In this case, convergence is guaranteed to a small neighborhood of the optimizer albeit at a linear rate. The analysis establishes analytically that random reshuffling outperforms uniform sampling by showing explicitly that iterates approach a smaller neighborhood of size $O(\mu^2)$ around the minimizer rather than $O(\mu)$. Furthermore, we derive an analytical expression for the steady-state mean-square-error performance of the algorithm, which helps clarify in greater detail the differences between sampling with and without replacement. We also explain the periodic behavior that is observed in random reshuffling implementations.
cs.LG math.OC stat.ML
in empirical risk optimization it has been observed that stochastic gradient implementations that rely on random reshuffling of the data achieve better performance than implementations that rely on sampling the data uniformly recent works have pursued justifications for this behavior by examining the convergence rate of the learning process under diminishing stepsizes this work focuses on the constant stepsize case and strongly convex loss function in this case convergence is guaranteed to a small neighborhood of the optimizer albeit at a linear rate the analysis establishes analytically that random reshuffling outperforms uniform sampling by showing explicitly that iterates approach a smaller neighborhood of size omu2 around the minimizer rather than omu furthermore we derive an analytical expression for the steadystate meansquareerror performance of the algorithm which helps clarify in greater detail the differences between sampling with and without replacement we also explain the periodic behavior that is observed in random reshuffling implementations
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1,803.07965
High-resolution numerical relativity simulations of spinning binary neutron star mergers
The recent detection of gravitational waves and electromagnetic counterparts emitted during and after the collision of two neutron stars marks a breakthrough in the field of multi-messenger astronomy. Numerical relativity simulations are the only tool to describe the binary's merger dynamics in the regime when speeds are largest and gravity is strongest. In this work we report state-of-the-art binary neutron star simulations for irrotational (non-spinning) and spinning configurations. The main use of these simulations is to model the gravitational-wave signal. Key numerical requirements are the understanding of the convergence properties of the numerical data and a detailed error budget. The simulations have been performed on different HPC clusters, they use multiple grid resolutions, and are based on eccentricity reduced quasi-circular initial data. We obtain convergent waveforms with phase errors of 0.5-1.5 rad accumulated over approximately 12 orbits to merger. The waveforms have been used for the construction of a phenomenological waveform model which has been applied for the analysis of the recent binary neutron star detection. Additionally, we show that the data can also be used to test other state-of-the-art semi-analytical waveform models.
gr-qc astro-ph.HE
the recent detection of gravitational waves and electromagnetic counterparts emitted during and after the collision of two neutron stars marks a breakthrough in the field of multimessenger astronomy numerical relativity simulations are the only tool to describe the binarys merger dynamics in the regime when speeds are largest and gravity is strongest in this work we report stateoftheart binary neutron star simulations for irrotational nonspinning and spinning configurations the main use of these simulations is to model the gravitationalwave signal key numerical requirements are the understanding of the convergence properties of the numerical data and a detailed error budget the simulations have been performed on different hpc clusters they use multiple grid resolutions and are based on eccentricity reduced quasicircular initial data we obtain convergent waveforms with phase errors of 0515 rad accumulated over approximately 12 orbits to merger the waveforms have been used for the construction of a phenomenological waveform model which has been applied for the analysis of the recent binary neutron star detection additionally we show that the data can also be used to test other stateoftheart semianalytical waveform models
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1,803.07966
Consistent Adaptive Multiple Importance Sampling and Controlled Diffusions
Recent progress has been made with Adaptive Multiple Importance Sampling (AMIS) methods that show improvement in effective sample size. However, consistency for the AMIS estimator has only been established in very restricted cases. Furthermore, the high computational complexity of the re-weighting in AMIS (called balance heuristic) makes it expensive for applications involving diffusion processes. In this work we consider sequential and adaptive importance sampling that is particularly suitable for diffusion processes. We propose a new discarding-re-weighting scheme that is of lower computational complexity, and we prove that the resulting AMIS is consistent. Using numerical experiments, we demonstrate that discarding-re-weighting performs very similar to the balance heuristic, but at a fraction of the computational cost.
math.OC
recent progress has been made with adaptive multiple importance sampling amis methods that show improvement in effective sample size however consistency for the amis estimator has only been established in very restricted cases furthermore the high computational complexity of the reweighting in amis called balance heuristic makes it expensive for applications involving diffusion processes in this work we consider sequential and adaptive importance sampling that is particularly suitable for diffusion processes we propose a new discardingreweighting scheme that is of lower computational complexity and we prove that the resulting amis is consistent using numerical experiments we demonstrate that discardingreweighting performs very similar to the balance heuristic but at a fraction of the computational cost
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