March 2023 arXiv papers — page 128
Showing 12,701–12,800 of 18,240 papers
Ankit Manerikar, Avinash C. Kak
We propose a framework for the automatic one-shot segmentation of synthetic images generated by a StyleGAN. Our framework is based on the observation that the multi-scale hidden features in the GAN generator hold useful semantic information that can be utilized for automatic on-the-fly segmentation of the generated images. Using these features, our framework
Yuebing Zhou, Jiawei Hu, Hongwei Yu
The Unruh effect predicts that a uniformly accelerated observer perceives the vacuum seen by an inertial observer as a thermal bath at a temperature proportional to its proper acceleration. This phenomenon is often regarded as a flat spacetime ``cousin" of Hawking radiation. In this Letter, we first study the entanglement dynamics of a quantum system compose
Yi-Xiang Wang, Zhigang Cai
Recent experiments have reported a lot of spectacular transport properties in topological materials, such as quantum oscillations and three-dimensional (3D) quantum Hall effect (QHE) in ZrTe$_5$. In this paper, by using a strong topological insulator model to describe ZrTe$_5$, we study the magnetotransport property of the 3D system. With fixed carrier densi
Tomohiro Hirano, Alexis Akira Toda
Rational pure bubble models feature multiple (and often a continuum of) equilibria, which makes model predictions and policy analyses non-robust. We show that when the interest rate in the fundamental equilibrium is below the economic growth rate ($R<G$), a bubbly equilibrium with $R=G$ exists. By injecting dividends to the bubble asset that grow slower than
Assessing the spin-orbit obliquity of low-mass planets in the breaking the chain formation model: A story of misalignment
astro-ph.EPLeandro Esteves, André Izidoro, Othon C. Winter, Bertram Bitsch
The spin-orbit obliquity of a planetary system constraints its formation history. A large obliquity may either indicate a primordial misalignment between the star and its gaseous disk or reflect the effect of different mechanisms tilting planetary systems after formation. Observations and statistical analysis suggest that system of planets with sizes between
Fusarium head blight detection, spikelet estimation, and severity assessment in wheat using 3D convolutional neural networks
cs.CVOumaima Hamila, Christopher J. Henry, Oscar I. Molina, Christopher P. Bidinosti
Fusarium head blight (FHB) is one of the most significant diseases affecting wheat and other small grain cereals worldwide. The development of resistant varieties requires the laborious task of field and greenhouse phenotyping. The applications considered in this work are the automated detection of FHB disease symptoms expressed on a wheat plant, the automat
Non-Vacuum Solutions, Gravitational Collapse and Discrete Singularity Theorems in Wolfram Model Systems
gr-qcJonathan Gorard
The celebrated geodesic congruence equation of Raychaudhuri, together with the resulting singularity theorems of Penrose and Hawking that it enabled, yield a highly general set of conditions under which a spacetime (or, more generically, a pseudo-Riemannian manifold) is expected to become geodesically incomplete. It is a non-trivial question to ask whether (
An ultra-stable cryogenic sapphire cavity laser with an instability of $1.9\times10^{-16}$ based on a low vibration level cryostat
physics.ins-detLeilei He, Jingxuan Zhang, Zhiyuan Wang, Jialu Chang
Cryogenic ultra-stable lasers have extremely low thermal noise limits and frequency drifts, but they are more seriously affected by vibration noise from cryostats. Main material candidates for cryogenic ultra-stable cavities include silicon and sapphire. Although sapphire has many excellent properties at low temperature, the development of sapphire-based cav
John Krueger
We analyze a countable support product of a free Suslin tree which turns it into a highly rigid Kurepa tree with no Aronszajn subtree. In the process, we introduce a new rigidity property for trees, which says roughly speaking that any non-trivial strictly increasing function from a section of the tree into itself maps into a cofinal branch.
David Krumm, Allan Lacy
For every nonconstant rational function $\phi\in\mathbb{Q}(x)$, the Galois groups of the dynatomic polynomials of $\phi$ encode various properties of $\phi$ that are of interest in the subject of arithmetic dynamics. We study here the structure of these Galois groups as $\phi$ varies in a particular one-parameter family of maps, namely the quadratic rational
Jared Grove, Suely Oliveira, Anthony Pizzimenti, David E. Stewart
Researchers and legislators alike continue the search for methods of drawing fair districting plans. A districting plan is a partition of a state's subdivisions (e.g. counties, voting precincts, etc.). By modeling these districting plans as graphs, they are easier to create, store, and operate on. Since graph partitioning with balancing populations is a comp
Takashi Shimonishi, Kei E. I. Tanaka, Yichen Zhang, Kenji Furuya
We report the first detection of hot molecular cores in the Small Magellanic Cloud, a nearby dwarf galaxy with 0.2 solar metallicity. We observed two high-mass young stellar objects in the SMC with ALMA, and detected emission lines of CO, HCO+, H13CO+, SiO, H2CO, CH3OH, SO, and SO2. Compact hot-core regions are traced by SO2, whose spatial extent is about 0.
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya
Crowdsourcing wireless energy is a novel and convenient solution to charge nearby IoT devices. Several applications have been proposed to enable peer-to-peer wireless energy charging. However, none of them considered the energy efficiency of the wireless transfer of energy. In this paper, we propose an energy estimation framework that predicts the actual rec
Itai Feigenbaum, Huan Wang, Shelby Heinecke, Juan Carlos Niebles
Causal discovery aims to recover a causal graph from data generated by it; constraint based methods do so by searching for a d-separating conditioning set of nodes in the graph via an oracle. In this paper, we provide analytic evidence that on large graphs, d-separation is a rare phenomenon, even when guaranteed to exist, unless the graph is extremely sparse
Strong uniform convergence rates of the linear wavelet estimator of a multivariate copula density
math.STCheikh Tidiane Seck, Salha Mamane
In this paper, we investigate the almost sure convergence, in supremum norm, of the rank-based linear wavelet estimator for a multivariate copula density. Based on empirical process tools, we prove a uniform limit law for the deviation, from its expectation, of an oracle estimator (obtained for known margins), from which we derive the exact convergence rate
Degree bounds for fields of rational invariants of $\mathbb{Z}/p\mathbb{Z}$ and other finite groups
math.ACBen Blum-Smith, Thays Garcia, Rawin Hidalgo, Consuelo Rodriguez
Degree bounds for algebra generators of invariant rings are a topic of longstanding interest in invariant theory. We study the analogous question for field generators for the field of rational invariants of a representation of a finite group, focusing on abelian groups and especially the case of $\mathbb{Z}/p\mathbb{Z}$. The inquiry is motivated by an applic
J. Echevarría, S. H. Ramírez, M. Fuentes, L. J. Sánchez
We present new optical spectroscopic observations of U Geminorum obtained during a quiescent stage. We performed a radial velocity analysis of three Balmer emission lines yielding inconsistent results. Assuming that the radial velocity semi amplitude accurately reflects the motion of the white dwarf, we arrive at masses for the primary which are in the range
Biao Wang, Zhining Wei, Pan Yan, Shaoyun Yi
In this paper, we study the linear independence between the distribution of the number of prime factors of integers and that of the largest prime factors of integers. Respectively, under a restriction on the largest prime factors of integers, we will refine the Erdős-Kac Theorem and Loyd's recent result on Bergelson and Richter's dynamical generaliza
Theory of nonlinear whispering gallery mode dynamics in a cylindrical microresonator with a radius variation
physics.opticsAlena Yu. Kolesnikova, Ilya D. Vatnik
We propose a comprehensive model describing the Kerr nonlinear dynamics of an electric field in a cylindrical microresonator with an effective radius variation, coupled to a radiation source. The proposed system of equations for coupled azimuthal modes takes into account full azimuthal dispersion as well as the influence of the radiation source on the field
Phonon-mediated spin dynamics in a two-electron double quantum dot under a phonon temperature gradient
cond-mat.mes-hallKazuyuki Kuroyama, Sadashige Matsuo, Seigo Tarucha, Yasuhiro Tokura
We have theoretically studied phonon-mediated spin-flip processes of electrons in a GaAs double quantum dot (DQD) holding two spins, under a phonon temperature gradient over the DQD. Transition rates of inter-dot phonon-assisted tunnel processes and intra-dot spin-flip processes involving spin triplet states are formalized by the electron-phonon interaction
Coherent interaction of a-few-electron quantum dot with a terahertz optical resonator
cond-mat.mes-hallKazuyuki Kuroyama, Jinkwan Kwoen, Yasuhiko Arakawa, Kazuhiko Hirakawa
We have investigated light-matter hybrid excitations in a quantum dot (QD)-terahertz (THz) optical resonator coupled system. We fabricate a gate-defined QD in the vicinity of a THz split-ring resonator (SRR) by using a AlGaAs/GaAs two-dimensional electron system (2DES). By illuminating the system with THz radiation, the QD shows a current change whose spectr
Oliver Davis Johns
This paper is a critical study of non-standard Maxwellian electrodynamics. It explores two important topics: the inclusion of both magnetic and electric charge to produce what it calls Extended Electrodynamics, and the existence of a symmetry called Dyality Invariance that exchanges electric and magnetic quantities. First, the paper summarizes Extended Elect
Relating homotopy equivalences to conservativity in dependent type theories with computation axioms
math.LOMatteo Spadetto
We prove a conservativity result for extensional type theories over propositional ones, i.e. dependent type theories with propositional computation rules, or computation axioms, using insights from homotopy type theory. The argument exploits a notion of canonical homotopy equivalence between contexts, and uses the notion of a category with attributes to phra
Abeer Alshehri, Tim Miller, Mor Vered
We introduce and evaluate an eXplainable Goal Recognition (XGR) model that uses the Weight of Evidence (WoE) framework to explain goal recognition problems. Our model provides human-centered explanations that answer why? and why not? questions. We computationally evaluate the performance of our system over eight different domains. Using a human behavioral st
Transformation of social relationships in COVID-19 America: Remote communication may amplify political echo chambers
cs.SIByungkyu Lee, Kangsan Lee, Benjamin Hartmann
The COVID-19 pandemic, with millions of Americans compelled to stay home and work remotely, presented an opportunity to explore the dynamics of social relationships in a predominantly remote world. Using the 1972-2022 General Social Surveys, we found that the pandemic significantly disrupted the patterns of social gatherings with family, friends, and neighbo
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
cs.CVShoukun Sun, Min Xian, Fei Xu, Luca Capriotti
The click-based interactive segmentation aims to extract the object of interest from an image with the guidance of user clicks. Recent work has achieved great overall performance by employing feedback from the output. However, in most state-of-the-art approaches, 1) the inference stage involves inflexible heuristic rules and requires a separate refinement mo
Samuel Epstein
We prove that given a computable metric space and two computable measures, the set of points that have high universal uniform test scores with respect to the first measure will have a lower bound with respect to the second measure. This result is transferred to thermodynamics, showing that algorithmic thermodynamic entropy must oscillate in the presence of d
Nick Early, Jian-Rong Li
The goal of this paper is to make a connection between tropical geometry, representations of quantum affine algebras, and scattering amplitudes in physics. The connection allows us to study important and difficult questions in these areas: (1) We give a systematic construction of prime modules (including prime non-real modules) of quantum affine algebras usi
KGNv2: Separating Scale and Pose Prediction for Keypoint-based 6-DoF Grasp Synthesis on RGB-D input
cs.ROYiye Chen, Ruinian Xu, Yunzhi Lin, Hongyi Chen
We propose a new 6-DoF grasp pose synthesis approach from 2D/2.5D input based on keypoints. Keypoint-based grasp detector from image input has demonstrated promising results in the previous study, where the additional visual information provided by color images compensates for the noisy depth perception. However, it relies heavily on accurately predicting th
Samuel Epstein
Using derandomization, we provide an upper bound on the compression size of solutions to the graph coloring problem. In general, if solutions to a combinatorial problem exist with high probability and the probability is simple, then there exists a simple solution to the problem. Otherwise the problem instance has high mutual information with the halting prob
Adrian Fischer, Robert E. Gaunt, Andrey Sarantsev
The variance-gamma (VG) distributions form a four-parameter family which includes as special and limiting cases the normal, gamma and Laplace distributions. Some of the numerous applications include financial modelling and distributional approximation on Wiener space. In this review, we provide an up-to-date account of the basic distributional theory of the
Samuel Epstein
The Independence Postulate (IP) is a finitary Church-Turing Thesis, saying mathematical sequences are independent from physical ones. Modelling observations as infinite sequences of real numbers, IP implies the existence of anomalies.
Ross B. Hutson, William R. Milner, Lingfeng Yan, Jun Ye
We report on the direct observation of resonant electric dipole-dipole interactions in a cubic array of atoms in the many-excitation limit. The interactions, mediated by single-atom couplings to the shared electromagnetic vacuum, are shown to produce spatially-dependent cooperative Lamb shifts when spectroscopically interrogating the mHz-wide optical clock t
Christyan C. de Oliveira, Ricardo A. Mosna, João Paulo M. Pitelli
We introduce an analog model for the conformally coupled scalar field on the BTZ black hole. The model is based on the propagation of acoustic waves in a Laval nozzle. Since the BTZ black hole is not a globally hyperbolic spacetime, the dynamics of the scalar field is not well defined until extra boundary conditions are prescribed at its spatial infinity. We
Gordon Chavez
We identify a nonlocal correlation structure in L-functions. This structure involves very long and infinite-range correlations between values of logarithmic L-functions, where the correlation strongly depends upon the presence of a multiplicative relationship between the two points in question on the complex plane. This correlation sharply jumps if the two p
Peter Wear
Deligne's weight-monodromy conjecture gives control over the poles of local factors of L-functions of varieties at places of bad reduction. His proof in characteristic p was a step in his proof of the generalized Weil conjectures. Scholze developed the theory of perfectoid spaces to transfer Deligne's proof to characteristic 0, proving the conjecture for com
M. A. Gali Labarias, K. -H. Muller, E. E. Mitchell
Designing superconducting electronic devices involves a careful study of all the elements in the circuit, including the superconducting bias leads, however, the effect of the bias current leads on the performance of the device have not been previously addressed. In this work, we introduce a theoretical model for two-dimensional superconducting quantum interf
Katepalli R. Sreenivasan, Joseph J. Niemela
To provide insights into the challenging problem of turbulent convection, Jack Herring used a greatly truncated version of the complete Boussinesq equations containing only one horizontal wavenumber. In light of later observations of a robust large scale circulation sweeping through convecting enclosures at high Rayleigh numbers, it is perhaps not an implaus
Dinesh Krishnamoorthy
This paper considers the problem of data generation for MPC policy approximation. Learning an approximate MPC policy from expert demonstrations requires a large data set consisting of optimal state-action pairs, sampled across the feasible state space. Yet, the key challenge of efficiently generating the training samples has not been studied widely. Recently
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards
cs.LGXiang Li, Qiang Sun
This paper presents two algorithms, AdaOFUL and VARA, for online sequential decision-making in the presence of heavy-tailed rewards with only finite variances. For linear stochastic bandits, we address the issue of heavy-tailed rewards by modifying the adaptive Huber regression and proposing AdaOFUL. AdaOFUL achieves a state-of-the-art regret bound of $\wide
J1406+0102: Dust Obscured Galaxy Hiding Super Eddington Accretion System with Bright Radio Emission
astro-ph.GAHikaru Fukuchi, Kohei Ichikawa, Masayuki Akiyama, Shigeo S. Kimura
Recent high-$z$ quasar observations strongly indicate that super-Eddington accretion is a crucial phase to describe the presence of supermassive black holes (SMBHs) with $M_\mathrm{BH} \gtrsim 10^9 M_\odot$ at $z \gtrsim 7$. Motivated by theoretical predictions that the super-Eddington phase efficiently produces outflows and jets bright in radio bands, we id
Emanuel Indrei
A solution is given to a problem discussed by Brigati, Dolbeault, and Simonov [arXiv:2302.03926].
Wenkai Tan, Justus Renkhoff, Alvaro Velasquez, Ziyu Wang
Deep Learning (DL) and Deep Neural Networks (DNNs) are widely used in various domains. However, adversarial attacks can easily mislead a neural network and lead to wrong decisions. Defense mechanisms are highly preferred in safety-critical applications. In this paper, firstly, we use the gradient class activation map (GradCAM) to analyze the behavior deviati
Roman Tkachenko, Vladimir Korchagin, Anna Jmailova, Giovanni Carraro
We make use of recent estimates for the parameters of the Milky Way's halo globular clusters and study the influence of the galactic bar on the dynamics of these clusters by computing their orbits. We use both an axisymmetric and non-axisymmetric galactic potentials, which include the rotating elongated bar/bulge structure. We account for observational error
Szeg\H{o} Kernel and Symplectic Aspects of Spectral Transform for Extended Spaces of Rational Matrices
math-phMarco Bertola, Dmitry Korotkin, Ramtin Sasani
We revisit the symplectic aspects of the spectral transform for matrix-valued rational functions with simple poles. We construct eigenvectors of such matrices in terms of the Szeg\H{o} kernel on the spectral curve. Using variational formulas for the Szeg\H{o} kernel we construct a new system of action-angle variables for the canonical symplectic form on the
Ming Zhao, Kritshekhar Jha, Sungho Hong
Function-as-a-Service (FaaS) is emerging as an important cloud computing service model as it can improve the scalability and usability of a wide range of applications, especially Machine-Learning (ML) inference tasks that require scalable resources and complex software configurations. These inference tasks heavily rely on GPUs to achieve high performance; ho
A. F. Ferrari
We look for modifications that can be derived from the Maxwell sector of the SME for the interaction between electrical charges and the electromagnetic field. The kind of problem that we are looking into is the one that might be found in a standard textbook on electromagnetism: given a set of electrical charges, in the presence of some non-trivial boundary c
Dana Avramescu, Virgil Băran, Vincenzo Greco, Andreas Ipp
We explore the impact of strong classical color fields, which occur in the earliest stages of heavy-ion collisions and are known as the Glasma, on the classical transport of hard probes, namely heavy quarks and jets. To achieve this, we simulate SU(3) color fields using classical real-time lattice gauge theory and couple them to an ensemble of test particles
Michael Herty, Ferdinand Thein
We are interested in the feedback stabilization of general linear multi-dimensional first order hyperbolic systems in $\mathbb{R}^d$. Using a Lyapunov function with a suited weight function depending on the system under consideration we show stabilization in $L^2$ for the studied system using a suitable feedback control. Therefore the controllability of the
Priyanshkumar I. Patel, Johir Suresh, Waseem Abbas
This paper studies the problem of designing networks that are strong structurally controllable, and robust simultaneously. For given network specifications, including the number of nodes $N$, the number of leaders $N_L$, and diameter $D$, where $2 \le D \le N/N_L$, we propose graph constructions generating strong structurally controllable networks. We also c
Meiirkhan B. Borikhanov, Michael Ruzhansky, Berikbol T. Torebek
In this paper, we study the nonlinear Sobolev type equations on the Heisenberg group. We show that the problems do not admit nontrivial local weak solutions, i.e. "instantaneous blow up" occurs, using the nonlinear capacity method. Namely, by choosing suitable test functions, we will prove an instantaneous blow up for any initial conditions $u_0,\,u_1\in L^q
Leonard Tang, Tom Shlomi, Alexander Cai
In recent years, knowledge distillation has become a cornerstone of efficiently deployed machine learning, with labs and industries using knowledge distillation to train models that are inexpensive and resource-optimized. Trojan attacks have contemporaneously gained significant prominence, revealing fundamental vulnerabilities in deep learning models. Given
Vincenzo Mantova, David Masser
Recently Brownawell and the second author proved a "non-degenerate" case of the (unproved) "Zilber Nullstellensatz" in connexion with "Strong Exponential Closure". Here we treat some significant new cases. In particular these settle completely the problem of solving polynomial-exponential equations in two complex variables. The methods of proof are also new,
Popov S. B., Pshirkov M. S.
Fast radio bursts (FRBs) were discovered only in 2007. However, the number of known events and sources of repeating bursts grows very rapidly. In the near future the number of events will be $\gtrsim 10^4$ and the number of repeaters $\gtrsim100$. Presently, there is a consensus that most of the sources of FRBs might be neutron stars (NSs) with large magneti
Olga Bantysh, Jyothishraj Nambisan, Berta Martínez-Prat, Alberto Fernández-Nieves
We investigate experimentally the dynamic phase transition of a two-dimensional active nematic layer interfaced with a passive liquid crystal. Under a temperature ramp that leads to the transition of the passive liquid into a highly anisotropic lamellar smectic-A phase, and in the presence of a magnetic field, the coupled active nematic reorganizes its flow
Wali Ullah Khan, Eva Lagunas, Asad Mahmood, Symeon Chatzinotas
This paper proposes an energy-efficient RIS-enabled NOMA communication for LEO satellite networks. The proposed framework simultaneously optimizes the transmit power of ground terminals at LEO satellite and passive beamforming at RIS while ensuring the quality of services. Due to the nature of the considered system and optimization variables, the problem of
Spin-orbit coupling induced Van Hove singularity in proximity to a Lifshitz transition in Sr$_4$Ru$_3$O$_{10}$
cond-mat.str-elCarolina A. Marques, Philip A. E. Murgatroyd, Rosalba Fittipaldi, Weronika Osmolska
Van Hove singularities (VHss) in the vicinity of the Fermi energy often play a dramatic role in the physics of strongly correlated electron materials. The divergence of the density of states generated by VHss can trigger the emergence of new phases such as superconductivity, ferromagnetism, metamagnetism, and density wave orders. A detailed understanding of
Roman Tkachenko, Vladimir Korchagin, Boris Jmailov
We numerically study the origin of the multi-armed spiral structure observed in the circumnuclear gaseous mini-disks of nearby galaxies. We show that the presence of dust in such disks and its interaction with the gravitationally stable gaseous component leads to the development of a multi-armed spiral structure. As a particular example, we study the formati
Alexey Kondyurin
A theory of aging based on the principles of the kinetics of chemical reactions and the rules of natural selection of organisms is proposed. The theory is based on a hypothesis that the biochemical processes in the organism can be described in the terms of chemical reaction kinetics. The evolutionary process of organisms is determined by the goal of continui
Zayne Sprague, Rohan Chandra, Jarrett Holtz, Joydeep Biswas
We present SocialGym 2, a multi-agent navigation simulator for social robot research. Our simulator models multiple autonomous agents, replicating real-world dynamics in complex environments, including doorways, hallways, intersections, and roundabouts. Unlike traditional simulators that concentrate on single robots with basic kinematic constraints in open s
Caroline Bang, Zdeněk Dvořák, Emily Heath, Bernard Lidický
A graph drawn in a surface is a near-quadrangulation if the sum of the lengths of the faces different from 4-faces is bounded by a fixed constant. We leverage duality between colorings and flows to design an efficient algorithm for 3-precoloring-extension in near-quadrangulations of orientable surfaces. Furthermore, we use this duality to strengthen previous
Vicky Kouni, Yannis Panagakis
Unfolding networks have shown promising results in the Compressed Sensing (CS) field. Yet, the investigation of their generalization ability is still in its infancy. In this paper, we perform a generalization analysis of a state-of-the-art ADMM-based unfolding network, which jointly learns a decoder for CS and a sparsifying redundant analysis operator. To th
Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park
Open world classification is a task in natural language processing with key practical relevance and impact. Since the open or {\em unknown} category data only manifests in the inference phase, finding a model with a suitable decision boundary accommodating for the identification of known classes and discrimination of the open category is challenging. The per
James Wetzel, Dylan Blend, Paul Debbins, Max Hermann
High performance calorimetry conducted at future hadron colliders, such as the FCC-hh, poses a significant challenge for applying current detector technologies due to unprecedented beam luminosities and radiation fields. Solutions include developing scintillators that are capable of separating events at the sub-fifty picosecond level while also maintaining p
M. Màrquez-Mijares, B. Lepetit, E. Brion
We describe a theoretical proposal of a nanofibre-based trap for a Rb$_2$ molecule prepared in the metastable state $(1)^3\Sigma^+_u$. The trapping potential results from the combination of a travelling and a standing-wave fields, both carried by the fundamental guided mode HE$_{11}$ of the fibre. We show that, with an experimentally realistic choice of lase
J. I. Katz
Many astronomical phenomena, including Fast Radio Bursts and Soft Gamma Repeaters, consist of brief, separated, seemingly aperiodic events. The intervals between these events vary randomly, but there are epochs of greater activity, with shorter mean intervals, and of lesser activity, with longer mean intervals. This variability can be quantified by a single
Arman Pourghorban, Dipankar Maity
We consider a variant of pursuit-evasion games where a single defender is tasked to defend a static target from a sequence of periodically arriving intruders. The intruders' objective is to breach the boundary of a circular target without being captured and the defender's objective is to capture as many intruders as possible. At the beginning of each period,
Tucker Stewart, Bin Yu, Anderson Nascimento, Juhua Hu
For network administration and maintenance, it is critical to anticipate when networks will receive peak volumes of traffic so that adequate resources can be allocated to service requests made to servers. In the event that sufficient resources are not allocated to servers, they can become prone to failure and security breaches. On the contrary, we would wast
Zhiyong Sun, Shiyu Zhao, Daniel Zelazo
In this paper, we study bearing equivalence in directed graphs. We first give a strengthened definition of bearing equivalence based on the \textit{kernel equivalence} relationship between bearing rigidity matrix and bearing Laplacian matrix. We then present several conditions to characterize bearing equivalence for both directed acyclic and cyclic graphs. T
Ali Montazeralghaem, James Allan
Conversational recommender systems (CRSs) are improving rapidly, according to the standard recommendation accuracy metrics. However, it is essential to make sure that these systems are robust in interacting with users including regular and malicious users who want to attack the system by feeding the system modified input data. In this paper, we propose an ad
J. Bland-Hawthorn, T. Tepper-Garcia, O. Agertz, K. Freeman
Recent observations of high-redshift galactic disks ($z\approx 1-3$) show a strong negative trend in the dark matter fraction $f_{DM}$ with increasing baryonic surface density. For this to be true, the inner baryons must dominate over dark matter in early massive galaxies, as observed in the Milky Way today. If disks are dominant at early times, we show that
Ivan Beldiev
We study induced additive actions on projective hypersurfaces, i.e. regular actions of the algebraic group $\mathbb G_a^m$ with an open orbit that can be extended to a regular action on the ambient projective space. We prove that if a projective hypersurface admits an induced additive action, then it is unique if and only if the hypersurface is non-degenerat
Symmetrized Drude Oscillator Force Fields Improve Numerical Performance of Polarizable Molecular Dynamics
physics.chem-phAmro Dodin, Phillip L. Geissler
Drude oscillator potentials are a popular and computationally efficient class of polarizable models that represent each polarizable atom as a positively charged Drude core harmonically bound to a negatively charged Drude shell. We show that existing force fields that place all non-Coulomb forces on the Drude core and none on the shell inadvertently couple th
Quantum Entropic Effects in the Liquid Viscosities of Hydrogen, Deuterium, and Neon
cond-mat.quant-gasIan Bell, Jacob W. Leachman, Albert F. Rigosi, Heather M. Hill
The extremely low temperatures have limited the availability and accuracy of experimental thermophysical property measurements for cryogens, particularly transport properties. Traditional scaling techniques such as corresponding states theory have long been known to be inaccurate for fluids with strong quantum effects. To address this need, this paper invest
Comparative Study of Semiconductors for Terahertz Generation by Nonlinear Optical Process: An Overview
physics.opticsFauzul Rizal
This study investigates different type of semiconductor crystals including assessing several physical characteristics and relevant parameters, which are refraction index, multiphoton absorption coefficient, electro-optic coefficient, nonlinear coefficient, phase tilting angle, and figure of merit, and mapping them for a comparison to look into options which
Anatoly Serdyuk, Tetiana Stepaniuk
In this paper we establish asymptotically best possible interpolation Lebesgue-type inequalities for $2\pi$-periodic functions $f$, which are representable as generalized Poisson integrals of the functions $\varphi$ from the space $L_p$, $1\leq p\leq \infty$. In these inequalities the deviation of the interpolation Lagrange polynomials $|f(x)- \tilde{S}_{n-1
Garett Brown, Hanno Rein
The long-term evolution of the solar system is chaotic. In some cases, chaotic diffusion caused by an overlap of secular resonances can increase the eccentricity of planets when they enter into a linear secular resonance, driving the system to instability. Previous work has shown that including general relativistic contributions to the planets' precession fr
Andrew S. Morgan, Quentin Bateux, Mei Hao, Aaron M. Dollar
Contact can be conceptualized as a set of constraints imposed on two bodies that are interacting with one another in some way. The nature of a contact, whether a point, line, or surface, dictates how these bodies are able to move with respect to one another given a force, and a set of contacts can provide either partial or full constraint on a body's motion.
Chesal MA, Blue RS, Aunon-Chancellor SA, Chancellor JC
Space radiation remains one of the primary hazards to spaceflight crews. The unique nature of the intravehicular radiation spectrum makes prediction of biological outcomes difficult, with computational simulation-based efforts stymied by lack of computational resources or accurate modeling capabilities. Recent advancements in both Monte Carlo simulations and
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Plug-and-Play (PnP) methods are a class of efficient iterative methods that aim to combine data fidelity terms and deep denoisers using classical optimization algorithms, such as ISTA or ADMM, with applications in inverse problems and imaging. Provable PnP methods are a subclass of PnP methods with convergence guarantees, such as fixed point convergence or c
Ultrafast Phonon-Diffuse Scattering as a Tool for Observing Chiral Phonons in Monolayer Hexagonal Lattices
cond-mat.mtrl-sciTristan L Britt, Bradley J. Siwick
At the 2D limit, hexagonal systems such as monolayer transition metal dichalcogenides (TMDs) and graphene exhibit unique coupled spin and momentum-valley physics (valley pseudospin) owing to broken spatial inversion symmetry and strong spin-orbit coupling. Circularly polarized light provides the means for pseudospin-selective excitation of excitons (or elect
Alberto Roverato, Dung Ngoc Nguyen
We consider the problem of learning a Gaussian graphical model in the case where the observations come from two dependent groups sharing the same variables. We focus on a family of coloured Gaussian graphical models specifically suited for the paired data problem. Commonly, graphical models are ordered by the submodel relationship so that the search space is
Applications of Machine Learning to Detecting Fast Neutrino Flavor Instabilities in Core-Collapse Supernova and Neutron Star Merger Models
astro-ph.HESajad Abbar
Neutrinos propagating in a dense neutrino gas, such as those expected in core-collapse supernovae (CCSNe) and neutron star mergers (NSMs), can experience fast flavor conversions on relatively short scales. This can happen if the neutrino electron lepton number ($\nu$ELN) angular distribution crosses zero in a certain direction. Despite this, most of the stat
Improved companion mass limits for Sirius A with thermal infrared coronagraphy using a vector-apodizing phase plate and time-domain starlight-subtraction techniques
astro-ph.EPJoseph D. Long, Jared R. Males, Sebastiaan Y. Haffert, Logan Pearce
We use observations with the infrared-optimized MagAO system and Clio camera in 3.9 $\mu$m light to place stringent mass constraints on possible undetected companions to Sirius A. We suppress the light from Sirius A by imaging it through a grating vector-apodizing phase plate coronagraph with 180-degree dark region (gvAPP-180). To remove residual starlight i
Mahdi Nasiri, Hartmut Löwen, Benno Liebchen
The question of how "smart" active agents, like insects, microorganisms, or future colloidal robots need to steer to optimally reach or discover a target, such as an odor source, food, or a cancer cell in a complex environment has recently attracted great interest. Here, we provide an overview of recent developments, regarding such optimal navigation problem
Mariano Cadoni, Mauro Oi, Andrea Pierfrancesco Sanna
We investigate the thermodynamics and the classical and semiclassical dynamics of two-dimensional ($2\text{D}$), asymptotically flat, nonsingular dilatonic black holes. They are characterized by a de Sitter core, allowing for the smearing of the classical singularity, and by the presence of two horizons with a related extremal configuration. For concreteness
Alexey Slizkov
2048 is a single player video game, played by millions mostly on mobile devices. We prove rigorously for the first time that there is an algorithm with winning probability at least 0.99969, and that there is a strategy for achieving the 256 tile guaranteed (with probability 1).
Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Sayan Nag
Privacy and annotation bottlenecks are two major issues that profoundly affect the practicality of machine learning-based medical image analysis. Although significant progress has been made in these areas, these issues are not yet fully resolved. In this paper, we seek to tackle these concerns head-on and systematically explore the applicability of non-contr
Pohang Canal Dataset: A Multimodal Maritime Dataset for Autonomous Navigation in Restricted Waters
cs.RODongha Chung, Jonghwi Kim, Changyu Lee, Jinwhan Kim
This paper presents a multimodal maritime dataset and the data collection procedure used to gather it, which aims to facilitate autonomous navigation in restricted water environments. The dataset comprises measurements obtained using various perception and navigation sensors, including a stereo camera, an infrared camera, an omnidirectional camera, three LiD
Spin-order-dependent magneto-elastic coupling in two dimensional antiferromagnetic MnPSe$_3$ observed through Raman spectroscopy
cond-mat.mtrl-sciDaniel J. Gillard, Daniel Wolverson, Oscar M. Hutchings, Alexander I. Tartakovskii
Layered antiferromagnetic materials have emerged as a novel subset of the two-dimensional family providing a highly accessible regime with prospects for layer-number-dependent magnetism. Furthermore, transition metal phosphorous trichalcogenides, MPX3 (M = transition metal; X = chalcogen) provide a platform for investigating fundamental interactions between
Off-stoichiometric softening and polytypic transformations in the plastic deformation of the C14 Fe$_2$Nb Laves phase
cond-mat.mtrl-sciAlvin Noe Ladines, Ralf Drautz, Thomas Hammerschmidt
Plastic deformation of the brittle C14-Fe$_2$Nb Laves phase occurs mostly by basal slip due to the complex crystal structure. Here, we compare the barriers for basal slip for the known mechanisms of direct slip, synchroshear and undulating slip using density functional theory calculations. According to our calculated generalized stacking fault (SF) energies,
Bekir Z Demiray, Muhammed Sit, Ibrahim Demir
Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions. This study aims to improve the temporal resolution of radar rainfall products to help with more accurate climate change modeling and studies. In this direction, we introduce a solution based on EfficientNetV2, namely EfficientTempN
Carl Johan Casselgren, Jonas B. Granholm, Fikre B. Petros
We consider the problem of extending partial edge colorings of iterated cartesian products of even cycles and paths, focusing on the case when the precolored edges satisfy either an Evans-type condition or is a matching. In particular, we prove that if $G=C^d_{2k}$ is the $d$th power of the cartesian product of the even cycle $C_{2k}$ with itself, and at mos
Benedikt Haas, Tara M. Boland, Christian Elsässer, Arunima K. Singh
Phonon scattering at grain boundaries (GBs) is significant in controlling nanoscale device thermal conductivity. However, GBs could also act as waveguides for selected modes. To measure localized GB phonon modes, meV energy resolution is needed with sub-nm spatial resolution. Using monochromated electron energy loss spectroscopy (EELS) in the scanning transm
Subrata Jana, Arghya Ghosh, Lucian A. Constantin, Prasanjit Samal
A simple effective screening parameter for screened range-separated hybrid is constructed from the compressibility sum rule in the context of linear-response time-dependent Density Functional Theory. When applied to the dielectric-dependent hybrid (DDH), it becomes remarkably accurate for bulk solids compared to those obtained from fitting with the model die
Ariel Graykowski, Ryan A. Lambert, Franck Marchis, Dorian Cazeneuve
On 26 September 2022 the Double Asteroid Redirection Test (DART) spacecraft impacted Dimorphos, a satellite of the asteroid 65803 Didymos. Because it is a binary system, it is possible to determine how much the orbit of the satellite changed, as part of a test of what is necessary to deflect an asteroid that might threaten Earth with an impact. In nominal ca
The strong effect of electron thermal conduction on the global structure of the heliosphere
astro-ph.SRV. V. Izmodenov, D. B. Alexashov
Voyager 1 and 2 crossed the heliopause at $\sim$122 AU in 2012 and $\sim$119 AU in 2018, respectively. It was quite a surprise because the thickness of the inner heliosheath obtained by the existing at that time models of the global heliosphere was significantly larger (by 20-40 AU). Until now, the problem of the heliosheath thickness has not been fully reso
Weakly-Supervised HOI Detection from Interaction Labels Only and Language/Vision-Language Priors
cs.CVMesut Erhan Unal, Adriana Kovashka
Human-object interaction (HOI) detection aims to extract interacting human-object pairs and their interaction categories from a given natural image. Even though the labeling effort required for building HOI detection datasets is inherently more extensive than for many other computer vision tasks, weakly-supervised directions in this area have not been suffic
Emilio Vital Brazil, Eduardo Soares, Lucas Villa Real, Leonardo Azevedo
Data is a critical element in any discovery process. In the last decades, we observed exponential growth in the volume of available data and the technology to manipulate it. However, data is only practical when one can structure it for a well-defined task. For instance, we need a corpus of text broken into sentences to train a natural language machine-learni
Aparna Bhattacharya, David Bennett, Jean Philippe Beaulieu, Ian Bond
We measured precise masses of the host and planet in OGLE-2003-BLG-235 system, when the lens and source were resolving, with 2018 Keck high resolution images. This measurement is in agreement with the observation taken in 2005 with the Hubble Space Telescope (HST). In 2005 data, the lens and sources were not resolved and the measurement was made using color-