Tootfinder

Extending Nonlocal Kinetic Energy Density Functionals to Isolated Systems via a Density-Functional-Dependent Kernel
Liang Sun, Mohan Chen
https://arxiv.org/abs/2507.08442

Extending Nonlocal Kinetic Energy Density Functionals to Isolated Systems via a Density-Functional-Dependent Kernel
The Wang-Teter-like nonlocal kinetic energy density functional (KEDF) in the framework of orbital-free density functional theory, while successful in some bulk systems, exhibits a critical Blanc-Cances instability [J. Chem. Phys. 122, 214106 (2005)] when applied to isolated systems, where the total energy becomes unbounded from below. We trace this instability to the use of an ill-defined average charge density, which causes the functional to simultaneously violate the scaling law and the posit…

Singular density correlations in chiral active fluids in three dimensions
Yuta Kuroda, Takeshi Kawasaki, Kunimasa Miyazaki
https://arxiv.org/abs/2507.08770

Singular density correlations in chiral active fluids in three dimensions
We investigate density fluctuations in three-dimensional chiral active fluids by using a simple particle model of helical self-propelled particles. Each particle is driven by a self-propelled force and a constant uniaxial chiral torque, whose direction is identical for all particles. Due to the helical nature of the particle motion, the system is generically anisotropic even when it is spatially homogeneous. Numerical simulations demonstrate that the helicity induces an anisotropic pattern and …

Large value estimates for Dirichlet polynomials, and the density of zeros of Dirichlet's $L$-functions
Bin Chen
https://arxiv.org/abs/2507.08296 https:…

Large value estimates for Dirichlet polynomials, and the density of zeros of Dirichlet's $L$-functions
It is proved that \[ \sum_{χ\bmod q}N(σ, T, χ) \lesssim_ε (qT)^{7(1-σ)/3+ε}, \] where $N(σ, T, χ)$ denote the number of zeros $ρ= β+ it$ of $L(s, χ)$ in the rectangle $σ\leq β\leq 1$, $|t| \leq T$. The exponent $7/3$ improves upon Huxley's earlier exponent of $12/5$. The key innovation lies in deriving a sharp upper bound for sums involving affine transformations with GCD twists, which emerges from our application of the Guth-Maynard method. As corollaries, we obtain two …

Suppression of Intertwined Density Waves in La$_4$Ni$_{3-x}$Cu$_x$O$_{10 \delta}$
Stephen Zhang, Danrui Ni, Ruyi Ke, Guangming Cheng, Nan Yao, Robert J. Cava
https://arxiv.org/abs/2507.08756

Suppression of Intertwined Density Waves in La$_4$Ni$_{3-x}$Cu$_x$O$_{10+δ}$
Superconductivity in La$_{4}$Ni$_{3}$O$_{10}$ has been reported to emerge upon suppression of intertwined spin and charge density wave (SDW/CDW) order, suggesting a possible connection to the pairing mechanism. Here we report a systematic investigation of La$_{4}$Ni$_{3-x}$Cu$_{x}$O$_{10+δ}$ ($0 \leq x \leq 0.7$), focusing on the evolution of the SDW/CDW order as a function of chemical substitution. Temperature-dependent resistivity, magnetic susceptibility, and Hall effect measurements reveal…

Another great Bochum #sunset today, this time with "Nature's filter" at the perfect density - ideal to bring out several sunspot groups (and foreground swifts): long series at https://www.facebook.com/dan.fischer.393/posts/pfbid0LpFcD4uuabA25huSMGhd77i5ASBcVMakmD28LrRX1bBd3ka8BcfwqEDEqAQvNeG6l with a bit of green at the very end.

"Despite good-faith efforts by DSI [dense street imagery] providers to protect individual privacy through blurring faces and license plates, these measures fail to address broader privacy concerns. In this work, we find that increased data density and advancements in artificial intelligence enable harmful group membership inferences from supposedly anonymized data."
via @…

Privacy of Groups in Dense Street Imagery
Spatially and temporally dense street imagery (DSI) datasets have grown unbounded. In 2024, individual companies possessed around 3 trillion unique images of public streets. DSI data streams are only set to grow as companies like Lyft and Waymo use DSI to train autonomous vehicle algorithms and analyze collisions. Academic researchers leverage DSI to explore novel approaches to urban analysis. Despite good-faith efforts by DSI providers to protect individual privacy through blurring faces and l…

Quantum mixture-density network for multimodal probabilistic prediction
Jaemin Seo
https://arxiv.org/abs/2506.09497 https://arxiv.org…

Quantum mixture-density network for multimodal probabilistic prediction
Multimodal probability distributions are common in both quantum and classical systems, yet modeling them remains challenging when the number of modes is large or unknown. Classical methods such as mixture-density networks (MDNs) scale poorly, requiring parameter counts that grow quadratically with the number of modes. We introduce a Quantum Mixture-Density Network (Q-MDN) that employs parameterized quantum circuits to efficiently model multimodal distributions. By representing an exponential nu…

Unveiling the electronic structure of the charge density wave and topological semimetal TaTe4 through high-field magnetotransport measurements
D. Silvera-Vega, J. Rojas-Castillo, E. Herrera-Vasco, E. Ramos-Rodr\'iguez, A. F. Santander-Syro, J. A. Galvis, B. Uribe, R. Gonz\'alez-Hern\'andez, A. C. Garc\'ia-Castro, P. Giraldo-Gallo
http…

Unveiling the electronic structure of the charge density wave and topological semimetal TaTe4 through high-field magnetotransport measurements
Understanding the interplay between topology and correlated electron states is central to the study of quantum materials. TaTe$_4$, a charge density wave (CDW) compound predicted to host topological phases, offers a platform to explore this interplay. Here, we report a comprehensive study of the Fermi surface (FS) of TaTe$_4$ via high-field magnetotransport measurements and density functional theory (DFT) calculations. Using three distinct field-current configurations, we resolve four out of fi…

Learning-based density-equalizing map
Yanwen Huang, Lok Ming Lui, Gary P. T. Choi
https://arxiv.org/abs/2506.10027 https://arxiv.org/…

Learning-based density-equalizing map
Density-equalizing map (DEM) serves as a powerful technique for creating shape deformations with the area changes reflecting an underlying density function. In recent decades, DEM has found widespread applications in fields such as data visualization, geometry processing, and medical imaging. Traditional approaches to DEM primarily rely on iterative numerical solvers for diffusion equations or optimization-based methods that minimize handcrafted energy functionals. However, these conventional t…

A novel method to trace the dark matter density profile around supermassive black holes with AGN reverberation mapping
Mayank Sharma, Gonzalo Herrera, Nahum Arav, Shunsaku Horiuchi
https://arxiv.org/abs/2506.10122

A novel method to trace the dark matter density profile around supermassive black holes with AGN reverberation mapping
We propose a new method to determine the dark matter density profile in the vicinity of distant supermassive black holes (SMBH) using reverberation mapping measurements of active galactic nuclei (AGN). For some AGN, the mapping of multiple emission lines allows us to measure the enclosed mass within different radii from the central SMBH, which allows us to infer or constrain the dark matter density profile on sub-pc scales. We find that for five out of fourteen AGN in our identified sample, the…

RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking
Yuqiang Lin, Sam Lockyer, Mingxuan Sui, Li Gan, Florian Stanek, Markus Zarbock, Wenbin Li, Adrian Evans, Nic Zhang
https://arxiv.org/abs/2507.08729

RoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking
The multi-camera vehicle tracking (MCVT) framework holds significant potential for smart city applications, including anomaly detection, traffic density estimation, and suspect vehicle tracking. However, current publicly available datasets exhibit limitations, such as overly simplistic scenarios, low-resolution footage, and insufficiently diverse conditions, creating a considerable gap between academic research and real-world scenario. To fill this gap, we introduce RoundaboutHD, a comprehensiv…

A note on $\mathscr{B}$-free sets and the existence of natural density
Aurelia Dymek, Stanis{\l}aw Kasjan, Joanna Ku{\l}aga-Przymus
https://arxiv.org/abs/2506.10218

A note on $\mathscr{B}$-free sets and the existence of natural density
Given $\mathscr{B}\subseteq \mathbb{N}$, let $\mathcal{M}_\mathscr{B}=\bigcup_{b\in\mathscr{B}}b\mathbb{Z}$ be the correspoding set of multiples. We say that $\mathscr{B}$ is taut if the logarithmic density of $\mathcal{M}_\mathscr{B}$ decreases after removing any element from $\mathscr{B}$. We say that $\mathscr{B}$ is minimal if it is primitive (i.e.\ $b| b'$ for $b,b'\in\mathscr{B}$ implies $b=b'$) and the characteristic function $η$ of $\mathcal{M}_\mathscr{B}$ is a Toeplitz sequence …

Urban Composition V 🫟
都市构图 V 🫟
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1995
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

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Minimal hypergraph non-jumps
Benedict Randall Shaw
https://arxiv.org/abs/2506.09620 https://arxiv.org/pdf/2506.09620

Minimal hypergraph non-jumps
An $r$-uniform hypergraph, or $r$-graph, has density $|E(G)|/|V(G)^{(r)}|$. We say $α$ is a jump for $r$-graphs if there is some constant $δ=δ(α)$ such that, for each $\varepsilon>0$ and $n\geq r$, any sufficiently large $r$-graph of density at least $\varepsilon$ has a subgraph of order $n$ and density at least $α+δ$. For $r=2$, all $α$ are jumps. For $r\geq 3$, Erdős showed all $[0,\frac{r!}{r^r})$ are jumps, and conjectured all $[0,1)$ are jumps. Since then, a var…

Cauchy density
Adri\'an Do\~na Mateo
https://arxiv.org/abs/2507.07869 https://arxiv.org/pdf/2507.07869

Cauchy density
In the paper where he defined the Cauchy completion of a $\mathscr{V}$-category, Lawvere also defined a condition on a $\mathscr{V}$-functor which made it analogous to a map of metric spaces whose image is topologically dense in its codomain. We call this condition Cauchy density. In this note, we focus on the fully faithful Cauchy dense $\mathscr{V}$-functors, and show that the Cauchy completion of $\mathscr{A}$ is the largest $\mathscr{V}$-category that admits a fully faithful Cauchy dense $\…

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
Peyman Sharifian, Xiaotong Hong, Alireza Karimian, Mehdi Amini, Hossein Arabi
https://arxiv.org/abs/2507.06410

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
Breast density assessment is a crucial component of mammographic interpretation, with high breast density (BI-RADS categories C and D) representing both a significant risk factor for developing breast cancer and a technical challenge for tumor detection. This study proposes an automated deep learning system for robust binary classification of breast density (low: A/B vs. high: C/D) using the VinDr-Mammo dataset. We implemented and compared four advanced convolutional neural networks: ResNet18, …

Lower-dimensional posterior density and cluster summaries for overparameterized Bayesian models
Henrique Bolfarine, Hedibert F. Lopes, Carlos M. Carvalho
https://arxiv.org/abs/2506.09850

Lower-dimensional posterior density and cluster summaries for overparameterized Bayesian models
The usefulness of Bayesian models for density and cluster estimation is well established across multiple literatures. However, there is still a known tension between the use of simpler, more interpretable models and more flexible, complex ones. In this paper, we propose a novel method that integrates these two approaches by projecting the fit of a flexible, over-parameterized model onto a lower-dimensional parametric summary, which serves as a surrogate. This process increases interpretability …

This https://arxiv.org/abs/2411.12206 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Safe Navigation in Dynamic Environments using Density Functions
This work presents a density-based framework for safe navigation in dynamic environments characterized by time-varying obstacle sets and time-varying target regions. We propose an analytical construction of time-varying density functions that enables the synthesis of a feedback controller defined as the positive gradient of the resulting density field. The primary contribution of this paper is a rigorous convergence proof demonstrating almost-everywhere safe navigation under the proposed framew…

Chiral and Deconfinement Transitions in Spin-Polarized Quark Matter
Ricardo L. S. Farias, William R. Tavares
https://arxiv.org/abs/2507.08130 https://

Chiral and Deconfinement Transitions in Spin-Polarized Quark Matter
We investigate the influence of spin polarization in strongly interacting matter by introducing a finite spin potential, $μ_Σ$, which effectively controls the spin density of the system without requiring rotation or specific boundary conditions. Inspired by recent lattice QCD simulations that incorporated such a potential, we implement this approach within an effective QCD framework. Our results show that increasing spin polarization leads to a simultaneous decrease in both the chiral and dec…

Observation and Modeling of Small Spatial Structures of Solar Radio Noise Storms using the uGMRT
Surajit Mondal, Peijin Zhang, Devojyoti Kansabanik, Divya Oberoi, Gillian Pearce
https://arxiv.org/abs/2507.08093

Observation and Modeling of Small Spatial Structures of Solar Radio Noise Storms using the uGMRT
One of the most commonly observed solar radio sources in the metric and decametric wavelengths is the solar noise storm. These are generally associated with active regions and are believed to be powered by the plasma emission mechanism. Since plasma emission emits primarily at the fundamental and harmonic of the local plasma frequency, it is significantly affected by density inhomogeneities in the solar corona. The source can become significantly scatter-broadened due to the multi-path propagat…

Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
Paul Bastide, Arnaud Estoup, Jean-Michel Marin, Julien Stoehr
https://arxiv.org/abs/2507.08734

Estimating Marginal Likelihoods in Likelihood-Free Inference via Neural Density Estimation
The marginal likelihood, or evidence, plays a central role in Bayesian model selection, yet remains notoriously challenging to compute in likelihood-free settings. While Simulation-Based Inference (SBI) techniques such as Sequential Neural Likelihood Estimation (SNLE) offer powerful tools to approximate posteriors using neural density estimators, they typically do not provide estimates of the evidence. In this technical report presented at BayesComp 2025, we present a simple and general methodo…

Refining ensemble $N$-representability of one-body density matrices from partial information
Julia Liebert, Anna O. Schouten, Irma Avdic, Christian Schilling, David A. Mazziotti
https://arxiv.org/abs/2506.09960

Refining ensemble $N$-representability of one-body density matrices from partial information
The $N$-representability problem places fundamental constraints on reduced density matrices (RDMs) that originate from physical many-fermion quantum states. Motivated by recent developments in functional theories, we introduce a hierarchy of ensemble one-body $N$-representability problems that incorporate partial knowledge of the one-body reduced density matrices (1RDMs) within an ensemble of $N$-fermion states with fixed weights $w_i$. Specifically, we propose a systematic relaxation that redu…

Growth of Cosmic Structures in generalized mass-to-horizon relation Entropic Cosmology
Shafqat Ali, Tomasz Denkiewicz
https://arxiv.org/abs/2507.08647 http…

Growth of Cosmic Structures in generalized mass-to-horizon relation Entropic Cosmology
We investigate the growth of cosmic structures in the thermodynamically consistent generalised mass-to-horizon entropic cosmology (MHEC). For the Bekenstein case the entropic energy density augments the Friedmann equations without modifying the Hawking temperature and automatically satisfies the Clausius relation, thereby avoiding the inconsistencies that afflicted earlier entropy-force models. We then derive the linear perturbation equations, emphasising the distinction between a fully perturb…

Gas of thin tubes of massless scalar field as a possible model of unified dark fluid
Alexander Lelyakov, Stepan Lelyakov
https://arxiv.org/abs/2507.08054 h…

Gas of thin tubes of massless scalar field as a possible model of unified dark fluid
In this work, we investigated the influence of constants that characterize the motion of thin tubes of a massless scalar field (TToMSF) in a gas on the global properties of such a gas, in particular, on its ability to accelerated expansion. The peculiarity of the TToMSF gas is related to the fact that the parameter of its equation of state $w$ depends on the degree of rarefaction of the gas and can take values in a very wide range of values $-1< w <1$. In this case, fluctuations in the density …

Optical force density and surface displacements in transparent dielectrics due to non-ionizing sub-picosecond laser excitation
B. Anghinoni, L. C. Malacarne, G. V. B. Lukasievicz, B. Lendl, M. L. Baesso, N. G. C. Astrath
https://arxiv.org/abs/2506.09964

Optical force density and surface displacements in transparent dielectrics due to non-ionizing sub-picosecond laser excitation
The optical force density acting in transparent dielectric media due to short laser excitation is theoretically analyzed. For typical laser pulses with picosecond duration, the momentum component of the optical force becomes of the same order of magnitude as the stress component, enhancing the overall optomechanical effects. Simulations of the optically-induced surface displacements in fused silica glass are also presented. With careful choice of realistic simulation parameters, dispersive and …

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory
Runtong Pan, Xinyi Fang, Kamyar Azizzadenesheli, Miguel Liu-Schiaffini, Mengyang Gu, Jianzhong Wu
https://arxiv.org/abs/2506.06623

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory
Neural operators are capable of capturing nonlinear mappings between infinite-dimensional functional spaces, offering a data-driven approach to modeling complex functional relationships in classical density functional theory (cDFT). In this work, we evaluate the performance of several neural operator architectures in learning the functional relationships between the one-body density profile $ρ(x)$, the one-body direct correlation function $c_1(x)$, and the external potential $V_{ext}(x)$ of in…

Learning the bulk and interfacial physics of liquid-liquid phase separation
Silas Robitschko, Florian Samm\"uller, Matthias Schmidt, Robert Evans
https://arxiv.org/abs/2507.08395

Learning the bulk and interfacial physics of liquid-liquid phase separation
We use simulation-based supervised machine learning and classical density functional theory to investigate bulk and interfacial phenomena associated with phase coexistence in binary mixtures. For a prototypical symmetrical Lennard-Jones mixture our trained neural density functional yields accurate liquid-liquid and liquid-vapour binodals together with predictions for the variation of the associated interfacial tensions across the entire fluid phase diagram. From the latter we determine the cont…

Mixtures of nonhomogeneous viscoelastic incompressible fluids governed by the Kelvin-Voigt equations
S. N. Antontsev, H. B. de Oliveira, I. V. Kuznetsov, D. A. Prokudin, Kh. Khompysh
https://arxiv.org/abs/2506.10278

Mixtures of nonhomogeneous viscoelastic incompressible fluids governed by the Kelvin-Voigt equations
An initial-and boundary-value problem for the Kelvin-Voigt system, modeling a mixture of n incompressible and viscoelastic fluids, with non-constant density, is investigated in this work. The existence of global-in-time weak solutions is established: velocity, density and pressure. Under additional regularity assumptions, we also prove the uniqueness of the solution.

Average Power-Density Spectrum of short and long Fermi-GBM Gamma-Ray Bursts
Else Magnus, Jannes Loonen, Rose S. Stanley, Paul Coppin, Krijn D. de Vries, Nick van Eijndhoven
https://arxiv.org/abs/2506.09610

Average Power-Density Spectrum of short and long Fermi-GBM Gamma-Ray Bursts
Gamma-ray bursts (GRBs) are the most powerful electromagnetic outbursts in the Universe and emit a vast amount of their energy in the form of gamma rays. Their duration is extremely short on cosmic timescales, but they show a wealth of time variability in their light curves. Properties of this variability may carry information about the processes the gamma rays emerge from, which are still poorly understood. This research investigates the redshift-corrected gamma-ray light curves of 159 long GR…

Thermoelectric optimization and quantum-to-classical crossover in gate-controlled two-dimensional semiconducting nanojunctions
Yu-Chang Chen, Yu-Chen Chang
https://arxiv.org/abs/2507.08231

Thermoelectric optimization and quantum-to-classical crossover in gate-controlled two-dimensional semiconducting nanojunctions
We investigate the thermoelectric performance of 2D nanojunctions with gate tunable architectures and varying channel lengths from 3 to 12 nm using a combination of first principles simulations, including density functional theory, DFT with nonequilibrium Greens function formalism (nanoDCAL), and nonequilibrium molecular dynamics simulations. Our study reveals a gate, temperature, and length dependent transition from quantum to classical in electron transport, transitioning from quantum tunneli…

Dirichlet kernel density estimation for strongly mixing sequences on the simplex
Hanen Daayeb, Salah Khardani, Fr\'ed\'eric Ouimet
https://arxiv.org/abs/2506.08816

Dirichlet kernel density estimation for strongly mixing sequences on the simplex
This paper investigates the theoretical properties of Dirichlet kernel density estimators for compositional data supported on simplices, for the first time addressing scenarios involving time-dependent observations characterized by strong mixing conditions. We establish rigorous results for the asymptotic normality and mean squared error of these estimators, extending previous findings from the independent and identically distributed (iid) context to the more general setting of strongly mixing …

An analytical optimization of plasma density profiles for downramp injection in laser wake-field acceleration
Gaetano Fiore, Paolo Tomassini
https://arxiv.org/abs/2506.06814

An analytical optimization of plasma density profiles for downramp injection in laser wake-field acceleration
We propose and detail a multi-step analytical procedure, based on an improved fully relativistic plane model for Laser Wake Field Acceleration, to tailor the initial density of a cold diluted plasma to the laser pulse profile, so as to control and optimize the partial wave-breaking of the plasma wave and maximize the acceleration of small bunches of electrons self-injected by the first wave-breaking at the density down-ramp, at least in the first stages of their acceleration phase. We find an e…

Emblems of pair density waves: dual identity of topological defects and their transport signatures
Omri Lesser, Chunli Huang, James P. Sethna, Eun-Ah Kim
https://arxiv.org/abs/2506.08087

Emblems of pair density waves: dual identity of topological defects and their transport signatures
The pair density wave (PDW) exemplifies intertwined orders in strongly correlated systems. A recent discovery of superconductivity in a quarter-metal state offers the first experimental system where a pure PDW without uniform superconductivity is suspected, offering a unique opportunity to examine the consequences of intertwined orders. A pure two-dimensional PDW supports an unusual fractional excitation as its topological defect (TD). A TD simultaneously winds the phase of the Cooper pair and …

A consistent description of the kinetic processes of electrolyte ion transport in a dynamic porous medium
P. P. Kostrobij, B. M. Markovych, O. V. Viznovych, M. V. Tokarchuk
https://arxiv.org/abs/2506.09753

A consistent description of the kinetic processes of electrolyte ion transport in a dynamic porous medium
The consistent description of kinetic and hydrodynamic processes is applied to the study of ion transport processes in the ionic solution-porous medium system. A system of equations is obtained for the nonequilibrium single-ion distribution function, the nonequilibrium average value of the energy density of the interaction of solution ions, and the nonequilibrium average value of the number density of particles in a porous medium. Using the fractional calculus technique, a generalized diffusion…

Lower bounds on heights of odd degree points of hyperelliptic curves
Jef Laga, Jack A. Thorne
https://arxiv.org/abs/2507.08652 https://

Lower bounds on heights of odd degree points of hyperelliptic curves
We develop a reduction theory for the representation of $\mathrm{SL}_n$ on pairs of symmetric $n\times n$ matrices. We apply this theory to the pencils of quadrics arising from divisors on hyperelliptic curves. We use these results to show that, in a density $1$ family, an odd degree point $P$ of degree at most $2g-1$ on the hyperelliptic curve $z^2 = f_0x^{2g+2} + f_1 x^{2g+1} y + \cdots + f_{2g+2}y^{2g+2}$ cannot have small Weil height.

Universality of the entropy stairway in homogeneous isotropization
Gustavo de Oliveira, Willians Barreto, Romulo Rougemont
https://arxiv.org/abs/2506.10294

Universality of the entropy stairway in homogeneous isotropization
We numerically investigate the time evolution of the non-equilibrium entropy during the homogeneous isotropization dynamics of the 2 R-Charge Black Hole (2RCBH) model, corresponding to a top-down holographic fluid defined at finite temperature and R-charge density. In addition to the entropy, we also analyze the time evolution of the pressure anisotropy and the scalar condensate of the medium. When the system is far-from-equilibrium the dominant and weak energy conditions can be transiently vio…

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Shriya Gumber, Lorena Alzate-Vargas, Benjamin T. Nebgen, Arjen van Veelen, Smit Kadvani, Tammie Gibson, Richard Messerly
https://arxiv.org/abs/2506.10211

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Machine learning interatomic potentials (MLIPs) are inherently limited by the accuracy of the training data, usually consisting of energies and forces obtained from quantum mechanical calculations, such as density functional theory (DFT). Since DFT itself is based on several approximations, MLIPs may inherit systematic errors that lead to discrepancies with experimental data. In this paper, we use a trajectory re-weighting technique to refine DFT pre-trained MLIPs to match the target experiment…

I biked on a street similar to this in Vancouver! Could tell from the younger trees on the outside that the cycle track was a recent addition. We can do this here too
https://mastodon.online/@BrentToderian/114808060180884076

Brent Toderian (@BrentToderian@mastodon.online)
Attached: 1 image This is really important. The main thing that makes it hard to achieve integrated nature and green in cities isn’t density of buildings or density of people — it's density of cars. And the more well-designed and integrated density of people & buildings you achieve, the fewer cars you need or want.

Markov Blanket Density and Free Energy Minimization
Luca M. Possati
https://arxiv.org/abs/2506.05794 https://arxiv.org/pdf/2506.05794…

Markov Blanket Density and Free Energy Minimization
This paper presents a continuous, information-theoretic extension of the Free Energy Principle through the concept of Markov blanket density, i.e., a scalar field that quantifies the degree of conditional independence between internal and external states at each point in space (ranging from 0 for full coupling to 1 for full separation). It demonstrates that active inference dynamics (including the minimization of variational and expected free energy) naturally emerge from spatial gradients in t…

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators
Arturo Castellanos, Anna Korba, Pavlo Mozharovskyi, Hicham Janati
https://arxiv.org/abs/2507.06055

Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators
Distances between probability distributions are a key component of many statistical machine learning tasks, from two-sample testing to generative modeling, among others. We introduce a novel distance between measures that compares them through a Schatten norm of their kernel covariance operators. We show that this new distance is an integral probability metric that can be framed between a Maximum Mean Discrepancy (MMD) and a Wasserstein distance. In particular, we show that it avoids some pitfa…

Bayesian Interpretation of Husimi Function and Wehrl Entropy
Chen Xu, Yiqi Yu, Peng Zhang
https://arxiv.org/abs/2507.08600 https://ar…

Bayesian Interpretation of Husimi Function and Wehrl Entropy
Husimi function (Q-function) of a quantum state is the distribution function of the density operator in the coherent state representation. It is widely used in theoretical research, such as in quantum optics. The Wehrl entropy is the Shannon entropy of the Husimi function, and is non-zero even for pure states. This entropy has been extensively studied in mathematical physics. Recent research also suggests a significant connection between the Wehrl entropy and many-body quantum entanglement in s…

Intracortical bipolar stimulation allows selective activation of neuronal populations in the cortex #BCI

Intracortical bipolar stimulation allows selective activation of neuronal populations in the cortex
Background Intracortical electrical stimulation has emerged as a promising approach for sensory restoration, such as a cortical visual prosthesis, yet its effectiveness is limited by current spread and electrode density constraints. Objective To determine whether intracortical bipolar current steering—via modulation of the return electrode position—can enhance neural activation selectivity compared to traditional monopolar stimulation, with the aim of improving spatial precision in sensory…

New Sufficient Conditions for Moment-determinacy via the Probability Density Tails
Gwo Dong Lin, Jordan M. Stoyanov
https://arxiv.org/abs/2507.05615 https:…

New Sufficient Conditions for Moment-determinacy via the Probability Density Tails
One of the ways to characterize a probability distribution is to show that it is moment-determinate, or, uniquely determined by knowing all its moments. The uniqueness, in the absolutely continuous case, depends strongly on the behaviour of the probability density tails. A sufficient condition of this type implying the moment-determinacy was introduced in the recent paper by Wei and Zhang (2025). Analyzing in detail the condition of these authors led us to finding a more general checkable condi…

Convergence of adaptive boundary element methods driven by functional a posteriori error estimates
Alexander Freiszlinger, Dirk Pauly, Dirk Praetorius
https://arxiv.org/abs/2506.10499

Convergence of adaptive boundary element methods driven by functional a posteriori error estimates
The recent work [Kurz et al., Numer. Math., 147 (2021)] proposed functional a posteriori error estimates for boundary element methods (BEMs) together with a related adaptive mesh-refinement strategy. Unlike most a posteriori BEM error estimators, the proposed functional error estimators cover Galerkin as well as collocation BEM and, more importantly, do not control the error in the integral density on the boundary, but the error of the potential approximation in the domain, which is of greater …

Is this feasible everywhere?
Maybe not, depending on population density and geography.
However, it's not a big mystery where floods will happen and we figured this out long ago—there's no reason anyone should live there and we know in advance when they happen to evacuate anyone being temporarily around.

Population density wasn’t the point of this video but it would’ve been cooler if he used an equal-area projection instead. 🗺️
#dataviz

Sufficient digits and density estimation: A Bayesian nonparametric approach using generalized finite P\'olya trees
Mario Beraha, Jesper M{\o}ller
https://arxiv.org/abs/2506.09437

Sufficient digits and density estimation: A Bayesian nonparametric approach using generalized finite Pólya trees
This paper proposes a novel approach for statistical modelling of a continuous random variable $X$ on $[0, 1)$, based on its digit representation $X=.X_1X_2\ldots$. In general, $X$ can be coupled with a random variable $N$ so that if a prior of $N$ is imposed, $(X_1,\ldots,X_N)$ becomes a sufficient statistics and $.X_{N+1}X_{N+2}\ldots$ is uniformly distributed. In line with this fact, and focusing on binary digits for simplicity, we propose a family of generalized finite P{ó}lya trees that i…

Upper tail distributions of central $L$-values of quadratic twists of elliptic curves at the variance scale
Mr Nathan Creighton
https://arxiv.org/abs/2507.08640

Upper tail distributions of central $L$-values of quadratic twists of elliptic curves at the variance scale
We consider the large deviations at the order of the variance for the central value of a family of $L$-functions among the members with bounded discriminant. When there is an upper bound on an integer moment of the central value twisted by a short Dirichlet polynomial, we can establish upper bounds on the density of members exhibiting a large central value. We adapt the techniques from Arguin and Bailey for large deviations of the Riemann zeta function to prove results on the degree two family …

Unconventional Materials for Light Dark Matter Detection
Yonit Hochberg, Dino Novko, Rotem Ovadia, Antonio Politano
https://arxiv.org/abs/2507.07164 https:…

Unconventional Materials for Light Dark Matter Detection
We propose the use of several unconventional materials as detectors for dark matter with mass beneath the MeV scale. These include the transition-metal dichalcogenide TiSe$_2$ hosting a low-energy plasmon in the charge-density-wave phase, Sr$_2$RuO$_4$ containing a low-energy acoustic demon mode, and hole-doped diamond with tunable optical and acoustic plasmon frequencies. We perform first-principles density functional theory computations of their loss functions at non-vanishing momenta and est…

BF-Max: an Efficient Bit Flipping Decoder with Predictable Decoding Failure Rate
Alessio Baldelli, Marco Baldi, Franco Chiaraluce, Paolo Santini
https://arxiv.org/abs/2506.09689

BF-Max: an Efficient Bit Flipping Decoder with Predictable Decoding Failure Rate
The Bit-Flipping (BF) decoder, thanks to its very low computational complexity, is widely employed in post-quantum cryptographic schemes based on Moderate Density Parity Check codes in which, ultimately, decryption boils down to syndrome decoding. In such a setting, for security concerns, one must guarantee that the Decoding Failure Rate (DFR) is negligible. Such a condition, however, is very difficult to guarantee, because simulations are of little help and the decoder performance is difficult…

Electric and spin current vortices in altermagnets
A. A. Herasymchuk, Karl Bergson Hallberg, Erik Wegner Hodt, Jacob Linder, E. V. Gorbar, Pavlo Sukhachov
https://arxiv.org/abs/2507.08072

Electric and spin current vortices in altermagnets
Altermagnets constitute a class of collinear magnets with momentum-dependent spin splitting and vanishing net magnetization. Direct observation of the characteristic altermagnetic spin splitting, however, remains challenging. Indirect signatures can be obtained via transport studies, which so far have only considered homogeneous fields driving currents. We propose to leverage nonuniform electric fields and spin density gradients to probe the shape and the spin polarization of altermagnetic Ferm…

Entanglement Holography in Quantum Phases via Twisted R\'enyi-N Correlators
Pablo Sala, Frank Pollmann, Masaki Oshikawa, Yizhi You
https://arxiv.org/abs/2506.10076

Entanglement Holography in Quantum Phases via Twisted Rényi-N Correlators
We introduce a holographic framework for the entanglement Hamiltonian in symmetry-protected topological (SPT) phases with area-law entanglement, whose reduced density matrix $ρ\propto e^{-H_e}$ can be treated as a lower-dimensional mixed state. By replicating $ρ$, we reconstruct the fixed-point SPT wavefunction, establishing an exact correspondence between the bulk strange correlator of the (d+1)-dimensional SPT state and the twisted Rényi-N operator of the d-dimensional reduced density matr…

This https://arxiv.org/abs/2408.12766 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography
Density reconstruction from X-ray projections is an important problem in radiography with key applications in scientific and industrial X-ray computed tomography (CT). Often, such projections are corrupted by unknown sources of noise and scatter, which when not properly accounted for, can lead to significant errors in density reconstruction. In the setting of this problem, recent deep learning-based methods have shown promise in improving the accuracy of density reconstruction. In this article,…

Free-surface Euler equations with density variations, and shallow-water limit
Th\'eo Fradin
https://arxiv.org/abs/2507.06889 https://arxiv.org/pdf/2507.06889 https://arxiv.org/html/2507.06889
arXiv:2507.06889v1 Announce Type: new
Abstract: In this paper we study the well-posedness in Sobolev spaces of the incompressible Euler equations in an infinite strip delimited from below by a non-flat bottom and from above by a free-surface. We allow the presence of vorticity and density variations, and in these regards the present system is an extension of the well-studied water waves equations. When the bottom is flat and with no density variations (but when the flow is not necessarily irrotational), our study provides an alternative proof of the already known large-time well-posedness results for the water waves equations. Our main contribution is that we allow for the presence of density variations, while also keeping track of the dependency in the shallow water parameter. This allows us to justify the convergence from the free-surface Euler equations towards the non-linear shallow water equations in this setting. Using an already established large time existence result for these latter equations, we also prove the existence of the free-surface Euler equations on a logarithmic time-scale, in a suitable regime.
toXiv_bot_toot

Can repeating and non-repeating FRBs be drawn from the same population?
Paz Beniamini, Pawan Kumar
https://arxiv.org/abs/2506.09138 https://

Can repeating and non-repeating FRBs be drawn from the same population?
Do all Fast Radio Burst (FRB) sources repeat? We present evidence that FRB sources follow a Zipf-like distribution, in which the number density of sources is approximately inversely proportional to their burst rate above a fixed energy threshold-even though both the burst rate and number density span many orders of magnitude individually. We introduce a model-independent framework that predicts the distribution of observed fluences and distances, and repetition rates of an FRB population based …

Density dependent embedding potentials for piecewise exact densities
Tomasz Adam Wesolowski
https://arxiv.org/abs/2506.08744 https://…

Density dependent embedding potentials for piecewise exact densities
Frozen Density Embedding Theory (FDET) [Wesolowski {\it Phys. Rev. A} {\bf 77}, 012504 (2008)] provides the interpretation of the eigenvalue equations for an embedded $N'$-electron wavefunction, in which the embedding operator is multiplicative, as the Euler-Lagrange equation corresponding to the constrained minimisation of the Hohenberg-Kohn energy functional. The constraint is given by a non-negative function integrating to an integer $N-N'>0$ with $N$ being the total number of electrons in t…

Imaging systematics induced by galaxy sub-sample fluctuation: new systematics at second order
Hui Kong, Nora Elisa Chisari, Boris Leistedt, Eric Gawiser, Martin Rodr\'iguez-Monroy, Noah Weaverdyck
https://arxiv.org/abs/2506.09481

Imaging systematics induced by galaxy sub-sample fluctuation: new systematics at second order
Imaging systematics refers to the inhomogeneous distribution of a galaxy sample caused by varying observing conditions and astrophysical foregrounds. Current mitigation methods correct the galaxy density fluctuations, caused by imaging systematics assuming that all galaxies in a sample have the same galaxy density fluctuations. Under this assumption, the corrected sample cannot perfectly recover the true correlation function. We name this effect sub-sample systematics. For a galaxy sample, even…

Packing3D: An Open-Source Analytical Framework for Computing Packing Density and Mixing Indices Using Partial Spherical Volumes
Freddie Barter, Christopher R. K. Windows-Yule
https://arxiv.org/abs/2506.08852

Packing3D: An Open-Source Analytical Framework for Computing Packing Density and Mixing Indices Using Partial Spherical Volumes
Accurate quantification of local packing density and mixing in simulations of particulate systems is essential for many industrial applications. Traditional methods which simply count the number of particle centres within a given volume of space (cell) introduce discontinuities at cell boundaries, leading to unreliable measurement of packing density. We introduce Packing3D.jl, an open-source Julia package providing analytic, partial-volume calculations for spheres intersecting Cartesian and cyl…

Density matrix analysis of systems influenced by periodic Hamiltonians
Soham Sen, Manjari Dutta, Sunandan Gangopadhyay
https://arxiv.org/abs/2507.06355 htt…

Density matrix analysis of systems influenced by periodic Hamiltonians
In this work, we consider simple systems that are influenced by Hamiltonians with time periodicity. Our analysis is mainly focussed on the density matrix approach and aims to solve the Liouville equation of motion from which one can extract the state of the system when the system is in a pure state. We start our analysis with the standard Rabi-oscillation problem. We consider a density matrix corresponding to the entire model system and solve the Liouville equation of motion. We have then made …

This https://arxiv.org/abs/2407.01101 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Packing Density of Sets With Only Two Nonmixed Gaps
For a finite set of integers such that the first few gaps between its consecutive elements equal $a$, while the remaining gaps equal $b$, we study dense packings of its translates on the line. We obtain an explicit lower bound on the corresponding optimal density, conjecture its tightness, and prove it in case one of the gap lengths, $a$ or $b$, appears only once. This is equivalent to a Motzkin problem on the independence ratio of certain integer distance graphs.

Studies on the $\pi^ p$ elastic scattering via the von Neumann entropy
Seung-il Nam
https://arxiv.org/abs/2506.10672 https://arxiv.o…

Studies on the $π^+ p$ elastic scattering via the von Neumann entropy
We study the $π^+ p$ elastic scattering process using an effective Lagrangian approach that incorporates the $s$-, $u$-, and $t$-channel amplitudes, including $Δ^{++,0}(1232)$, neutron, and $ρ^0$ contributions. By constructing the spin-density matrices (SDMs) from helicity amplitudes, we derive the von Neumann (entanglement) entropy associated with the spin degrees of freedom of the initial and final state particles. We compute the entropy by performing a partial trace over the spin subsyste…

An Extended-MHD Model for Handling Low-density Plasmas with Tabular Material Models
Nathaniel D. Hamlin, Matthew R. Martin, Jeffrey M. Woolstrum
https://arxiv.org/abs/2506.06625

An Extended-MHD Model for Handling Low-density Plasmas with Tabular Material Models
An extended-MHD model, interfaced with tabular equation-of-state and conductivity models, has been developed in PERSEUS (Physics as an Extended-MHD Relaxation System with an Efficient Upwind Scheme) for simulating a plasma-vacuum interface under experimentally-relevant conditions for a pulsed-power system, and with minimal sensitivity to parameters characterizing the numerical vacuum. For several test problems, we demonstrate convergence of this model for sufficiently low density floors and wit…

High-density three-dimensional holography using rapid modulation of light
Jorge-Alberto Peralta-\'Angeles, Mingyuan Hong, Mario A. Quiroz-Ju\'arez, Omar S. Maga\~na-Loaiza, Roberto de J. Le\'on-Montiel
https://arxiv.org/abs/2506.08253

High-density three-dimensional holography using rapid modulation of light
One of the most common methods for reconstructing three-dimensional (3D) images of real objects is digital holography. This technique relies on the use of electro-optical devices that modify the phase or amplitude of light fields in a controlled manner, the so-called spatial light modulators. However, given that holography typically requires coherent light sources, a common problem with three-dimensional projection is the crosstalk between the layers that make up the 3D object. This limits full…

Abinit 2025: New Capabilities for the Predictive Modeling of Solids and Nanomaterials
Matthieu J. Verstraete, Joao Abreu, Guillaume E. Allemand, Bernard Amadon, Gabriel Antonius, Maryam Azizi, Lucas Baguet, Clementine Barat, Louis Bastogne, Romuald Bejaud, Jean-Michel Beuken, Jordan Bieder, Augustin Blanchet, Francois Bottin, Johann Bouchet, Julien Bouquiaux, Eric Bousquet, James Boust, Fabien Brieuc, Veronique Brousseau-Couture, Nils Brouwer Fabien Bruneval, Alois Castellano, Emmanuel…

Abinit 2025: New Capabilities for the Predictive Modeling of Solids and Nanomaterials
Abinit is a widely used scientific software package implementing density functional theory and many related functionalities for excited states and response properties. This paper presents the novel features and capabilities, both technical and scientific, which have been implemented over the past 5 years. This evolution occurred in the context of evolving hardware platforms, high-throughput calculation campaigns, and the growing use of machine learning to predict properties based on databases o…

Effects of One-particle Reduced Density Matrix Optimization in Variational Quantum Eigensolvers
Amanda Marques de Lima, Erico Souza Teixeira, Eivson Darlivam Rodrigues de Aguiar Silva, Ricardo Luiz Longo
https://arxiv.org/abs/2507.07667

Effects of One-particle Reduced Density Matrix Optimization in Variational Quantum Eigensolvers
The variational quantum eigensolver (VQE) is a promising method for simulating molecular systems on near-term quantum computers. This approach employs energy estimation; however, other relevant molecular properties can be extracted from the one-particle reduced density matrix (1-RDM) generated by VQE. The accuracy of these properties strongly depends on the reliability and convergence of the 1-RDM, which is not guaranteed by energy-only optimization. Thus, we investigate the effect of optimizin…

Kilohertz Gravitational Waves from Binary Neutron Star Mergers: Full Spectrum Analyses and High-density Constraints on Neutron Star Matter
Giulia Huez, Sebastiano Bernuzzi, Matteo Breschi, Rossella Gamba
https://arxiv.org/abs/2507.06293

Kilohertz Gravitational Waves from Binary Neutron Star Mergers: Full Spectrum Analyses and High-density Constraints on Neutron Star Matter
We demonstrate Bayesian analyses of the complete gravitational-wave spectrum of binary neutron star mergers events with the next-generation detector Einstein Telescope. Our mock analyses are performed for 20 different signals using the TEOBResumSPA_NRPMw waveform that models gravitational-waves from the inspiral to the postmerger phase. They are employed to validate a pipeline for neutron star's extreme matter constraints with prospective detections and under minimal hypotheses on the equation …

Global strong solution of the 3D compressible liquid crystal flows with density-dependent viscosity and large velocity
Jiaxu Li, Yu Mei, Rong Zhang
https://arxiv.org/abs/2507.04760

Global strong solution of the 3D compressible liquid crystal flows with density-dependent viscosity and large velocity
This paper concerns the Cauchy problem of three-dimensional compressible liquid crystal flows with density-dependent viscosity. When the viscosity coefficients $μ_1(ρ),μ_2(ρ)$ are power functions of the density with the power larger than $1$, it is proved that the system exists a unique global strong solution as long as the initial density is sufficiently large and $L^3$-norm of the derivative of the initial director is sufficiently small. This is the first result concerning the global stro…

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
Cheng Zeng, George Michailidis, Hitoshi Iyatomi, Leo L Duan
https://arxiv.org/abs/2507.04216

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
The conditional density characterizes the distribution of a response variable $y$ given other predictor $x$, and plays a key role in many statistical tasks, including classification and outlier detection. Although there has been abundant work on the problem of Conditional Density Estimation (CDE) for a low-dimensional response in the presence of a high-dimensional predictor, little work has been done for a high-dimensional response such as images. The promising performance of normalizing flow (…

Empirical Calibration of Na I D and Other Absorption Lines as Tracers of High-Redshift Neutral Outflows
Lorenzo Moretti, Sirio Belli, Gwen C. Rudie, Andrew B. Newman, Minjung Park, Amir H. Khoram, Nima Chartab, Darko Donevski
https://arxiv.org/abs/2507.07160

Empirical Calibration of Na I D and Other Absorption Lines as Tracers of High-Redshift Neutral Outflows
Recent JWST observations of massive galaxies at z > 2 have detected blueshifted absorption in Na I D and other resonant absorption lines, indicative of strong gas outflows in the neutral phase. However, the measured mass outflow rates are highly uncertain because JWST observations can only probe the column density of trace elements such as sodium, while most of the gas is in the form of hydrogen. The conversion between the column density of sodium and that of hydrogen is based on observations o…

Towards a p-adic nowhere density conjecture of Hecke Orbits
Yu Fu
https://arxiv.org/abs/2506.06932 https://arxiv.org/pdf/2506.06932…

Towards a p-adic nowhere density conjecture of Hecke Orbits
We propose a conjecture on the $p$-adic nowhere density of the Hecke orbit of subvarieties of Hodge type Shimura varieties. By investigating the monodromy of $p$-adic Galois representations associated with points on such Shimura varieties, we prove that the locus in a formal $\mathcal{O}_K$-neighborhood of a mod $p$ point that has large monodromy is open dense, where $K$ is a totally ramified finite extension of $\breve{\mathbb{Q}}_p.$

Linear-Response Quantum-Electrodynamical Density Functional Theory Based on Two-Component X2C Hamiltonians
Lukas Konecny, Valeriia P. Kosheleva, Michael Ruggenthaler, Michal Repisky, Angel Rubio
https://arxiv.org/abs/2507.07198

Linear-Response Quantum-Electrodynamical Density Functional Theory Based on Two-Component X2C Hamiltonians
Linear-response quantum electrodynamical density functional theory (QEDFT) enables the description of molecular spectra under strong coupling to quantized photonic modes, such as those in optical cavities. Recently, this approach was extended to the relativistic domain using the four-component Dirac-Coulomb Hamiltonian. To provide a computationally efficient yet accurate alternative-particularly for modeling 2D spectra or collective coupling for large, heavy-element systems-this article introdu…

A systematic study of binary neutron star merger rate density history using simulated gravitational wave and short gamma-ray burst observations
Yun-Fei Du, Emre Seyit Yorgancioglu, Shu-Xu Yi, Tian-Yong Cao, Shuang-Nan Zhang
https://arxiv.org/abs/2507.04019

A systematic study of binary neutron star merger rate density history using simulated gravitational wave and short gamma-ray burst observations
Measuring the merger rate density history of binary neutron stars (BNS) can greatly aid in understanding the history of heavy element formation in the Universe. Currently, second-generation Gravitational Wave (GW) detectors can only measure the BNS merger rate density history at low redshifts ($z$ $\sim$ 0.1). Short gamma-ray bursts (sGRBs) may trace the BNS merger to higher redshifts ($z$ $\sim$ 3). However, not all BNS mergers result in sGRBs, and it is not certain that all sGRBs originate fr…

B-splines approximate the Gaussian density and Hermite functions in Schwartz seminorms
Maciej Rzeszut, Micha{\l} Wojciechowski
https://arxiv.org/abs/2507.04507

B-splines approximate the Gaussian density and Hermite functions in Schwartz seminorms
We prove that B-splines with knots satisfying assumptions of the Berry-Esseen Theorem, which correspond directly to the volumes of sections of the standard simplex, tend to the Gaussian density in any Schwartz seminorm. As a consequence, we derive some asymptotic formulas connecting Hermite and Laguerre polynomials.

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/4]:
- Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
Peyman Sharifian, Xiaotong Hong, Alireza Karimian, Mehdi Amini, Hossein Arabi

Indicator Functions: Distilling the Information from Gaussian Random Fields
Andrew Repp, Ravi K. Sheth, Istvan Szapudi, Yan-Chuan Cai
https://arxiv.org/abs/2506.06668

Indicator Functions: Distilling the Information from Gaussian Random Fields
A random Gaussian density field contains a fixed amount of Fisher information on the amplitude of its power spectrum. For a given smoothing scale, however, that information is not evenly distributed throughout the smoothed field. We investigate which parts of the field contain the most information by smoothing and splitting the field into different levels of density (using the formalism of indicator functions), deriving analytic expressions for the information content of each density bin in the…

Stability of bound states in multi-component DFT in absolute coordinate systems
Bander Linjawi
https://arxiv.org/abs/2506.07990 https://

Stability of bound states in multi-component DFT in absolute coordinate systems
Homogeneous electron and nuclear gases are transformed to a localized trial density in absolute coordinates of the multi-component hamiltonian to determine the stability of forming bound states. Regions of stability were found both at the high density and low density regimes, where electron-nuclear correlations could play a critical role in the intermediate density regime. The use of Galilean coordinates is motivated for its use in density functional theory to develop kinetic and potential dens…

Magnetic excitations and exchange parameters of a nickel chain compound PbMn$_2$Ni$_6$Te$_3$O$_{18}$: Neutron scattering and density functional theory studies
S. Uthayakumar, D. T. Adroja, Amit Pokhriyal, A. K. Bera, Haranath Ghosh, Tatiana Gudi, Manh Duc Le, Christian Balz, R. A. Ewings, Minal Gupta, P. R. Sagdeo, D. Prabhakaran, J. P. Goff
https://…

Magnetic excitations and exchange parameters of a nickel chain compound PbMn$_2$Ni$_6$Te$_3$O$_{18}$: Neutron scattering and density functional theory studies
We have investigated the quasi-one dimensional Ni-chain compound PbMn$_2$Ni$_6$Te$_2$O$_{18}$ using theoretical DFT calculations, inelastic neutron scattering and optical spectroscopy in order to understand the nature of magnetic exchange interactions. Our inelastic neutron scattering study at 5 K on a powder sample reveals two bands of magnetic excitations, the first near 8 meV and the second near 18 meV originating from the antiferromagnetic zone center near $Q$ = 1~Å. On the other hand at 1…

Electronic and optical properties of the thio-apatites phases Ba$_5$(VS$_{\alpha}$O$_{\beta}$)$_3$X [X=Cl, F, Br, I]: impact of multiple anionic substitution
Smritijit Sen, Houria Kabbour
https://arxiv.org/abs/2507.08308

Electronic and optical properties of the thio-apatites phases Ba$_5$(VS$_α$O$_β$)$_3$X [X=Cl, F, Br, I]: impact of multiple anionic substitution
A systematic study of the electronic structure and optical properties of the thio-apatites Ba$_5$(VS$_α$O$_β$)$_3$X (X= Cl, F, Br, I) is carried out through first principles density functional theory simulations. The band gap and properties evolution from fluorine to iodine on fixed O/S ratios, as well as by substituting sulfur (S) for oxygen (O) are discussed. The reduction of the band gap by raising valence band energy levels, with an increasing S/O ratio can also be further modulated by th…

Density Discontinuity Regression
Surya T Tokdar, Rik Sen, Haoliang Zheng, Shuangjie Zhang
https://arxiv.org/abs/2507.05581 https://ar…

Density Discontinuity Regression
Many policies hinge on a continuous variable exceeding a threshold, prompting strategic behavior by agents to stay on the favorable side. This creates density discontinuities at cutoffs, evident in contexts like taxable income, corporate regulations, and academic grading. Existing methods detect these discontinuities, but systematic approaches to examine how they vary with observable characteristics are lacking. We propose a novel, interpretable Bayesian framework that jointly estimates both th…

Thermal corrections to dark matter annihilation with real photon emission/absorption
Prabhat Butola (IMSc, HBNI), D. Indumathi (IMSc, HBNI), Pritam Sen (TIFR)
https://arxiv.org/abs/2506.07663

Thermal corrections to dark matter annihilation with real photon emission/absorption
The dark matter relic density is being increasingly precisely measured. This relic density is theoretically determined by a Boltzmann equation which computes the dark matter distribution according to the (thermally averaged) cross section for annihilation/production of dark matter within a given model. We present here the complete higher order thermal corrections, calculated using real time thermal field theory, to the cross section for the annihilation of dark matter into Standard Model fermio…

Origin of Radio Emission in Three Nearby Ultraluminous Infrared Galaxies with Signatures of Luminous Buried Active Galactic Nuclei
Takayuki J. Hayashi (National Astronomical Observatory of Japan), Yoshiaki Hagiwara (Toyo University), Masatoshi Imanishi (National Astronomical Observatory of Japan)
https://arxiv.org/abs/2506.10549…

Origin of Radio Emission in Three Nearby Ultraluminous Infrared Galaxies with Signatures of Luminous Buried Active Galactic Nuclei
We report multifrequency Very Long Baseline Array (VLBA) observations at 2.3 and 8.4GHz of three nearby ultraluminous infrared galaxies, identified via mid-infrared spectroscopic analyses as hosting deeply embedded active galactic nuclei (AGNs). Milliarcsecond-scale observations at both frequencies reveal compact continuum emission in IRAS F00188$-$0856 and IRAS F01298$-$0744, accounting for $\sim10$% of the flux density measured on arcsecond scales. The non-detection in IRAS F00091$-$0738 and …

Poincar\'e inequality on the monotone sets revisited
Fan Chang, Guowei Sun, Lei Yu
https://arxiv.org/abs/2506.09852 https://arxiv…

Poincaré inequality on the monotone sets revisited
In this short note, we provide a simple inductive proof of the Poincaré inequality on the monotone sets, which is firstly established by Fei and Pinto Jr. using directed heat semigroup method. Such inequality improves the mixing time upper bound of the censored random walk on constant-density monotone sets from $O(n^3)$ by Ding and Mossel to $O(n^2)$.

Spatial and temporal evolutions of blue-core helicon discharge driven by planar antenna with concentric rings
Chao Wang, Lei Chang, Ling-Feng Lu, Shunjiro Shinohara, Zhi-De Zeng, Ilya Zadiriev, Elena Kralkina, Zhi Li, Shi-Jie Zhang, Zi-Chen Kan, Ye Tao, Ding-Zhou Li
https://arxiv.org/abs/2506.10493…

Spatial and temporal evolutions of blue-core helicon discharge driven by planar antenna with concentric rings
The spatial and temporal evolutions of blue-core helicon discharge driven by a planar antenna with four concentric rings are explored on the Linear Experimental Advanced Device (LEAD). The discharge experiences distinct density jumps from E mode to H mode, W mode, and blue-core mode, when RF input power increases. This is similar to previous observations using other typical helicon antennas; however, this special antenna could drive modes of even higher levels for which the blue-core plasma col…

Advancing Quantum Transport Calculations: An Effective Medium Theory with Plane-Wave Basis and PAW Potentials in Eigenstates
Yi-Cheng Lin, Ken-Ming Lin, Yu-Chang Chen
https://arxiv.org/abs/2507.07366

Advancing Quantum Transport Calculations: An Effective Medium Theory with Plane-Wave Basis and PAW Potentials in Eigenstates
We present an effective medium theory based on density functional theory that is implemented in VASP using the PAW method with a plane wave basis set. The transmission coefficient is derived through three complementary approaches: the current density relation J=nqv, the field operator method, and the nonquilibrium Green's function formalism. We compare transmission coefficients calculated using EMT-PW with results from NEGF-DFT, based on the NanoDCAL package utilizing a linear combination of at…

Two-site entanglement in the two-dimensional Hubbard model
Frederic Bippus, Anna Kauch, Gerg\H{o} Ro\'osz, Christian Mayrhofer, Fakher Assaad, Karsten Held
https://arxiv.org/abs/2506.09780

Two-site entanglement in the two-dimensional Hubbard model
The study of entanglement in strongly correlated electron systems typically requires knowledge of the reduced density matrix. Here, we apply the parquet dynamical vertex approximation to study the two-site reduced density matrix at varying distance, in the Hubbard model at weak coupling. This allows us to investigate the spatial structure of entanglement in dependence of interaction strength, electron filling, and temperature. We compare results from different entanglement measures, and benchma…

Global attractor of chemotaxis system with weak degradation and density-dependent motion
Lin Guo, Dan Li
https://arxiv.org/abs/2507.07554 https://

Global attractor of chemotaxis system with weak degradation and density-dependent motion
This paper investigates the following chemotaxis system featuring weak degradation and nonlinear motility functions \begin{equation}\label{Model1} \begin{cases} u_{t} = (γ(v)u)_{xx} + r - μu, & x \in [0,L],\ t > 0, v_{t} = v_{xx} - v + u, & x \in [0,L],\ t > 0, \end{cases} \end{equation} defined on the bounded interval $[0,L]$ with homogeneous Neumann boundary conditions. The motility function $γ(v)$ satisfies the regularity conditions $γ\in C^{2}[0,\infty)$ with $γ(v) > 0$ for…

Splashback radius and the mass accretion rate of RASS MCMF galaxy clusters
Jitendra Joshi, Divya Rana, Surhud More, Matthias Klein
https://arxiv.org/abs/2506.08925

Splashback radius and the mass accretion rate of RASS MCMF galaxy clusters
We present measurements of the radial profile of mass and galaxy number density around X-ray selected ROSAT All Sky Survey-Multi-Component Matched Filter galaxy clusters using Year 3 data from the Dark Energy Survey. We measure the projected cross-correlation signal of the RedMaGiC "high density" galaxies around an approximately volume-limited sample of 255 galaxy clusters at a median redshift of $z=0.4$ and an X-ray luminosity $L_X > 10^{44} \,\text{ergs} \, \text{s}^{-1} \, \text{h}^{-2}$. Th…

Replaced article(s) found for math.NT. https://arxiv.org/list/math.NT/new/
[1/1]:
The density of ADE families of curves having squarefree discriminant

Searching for radio pulses from radio-quiet gamma-ray pulsars with FAST
S. Q. Wang, S. Dai, N. Wang, A. Zic, G. Hobbs, D. Li, R. B. Ding, L. Peng, Z. C. Pan, S. B. Zhang
https://arxiv.org/abs/2506.10565

Searching for radio pulses from radio-quiet gamma-ray pulsars with FAST
We present periodicity and single-pulse searches at 1250 MHz for 22 radio-quiet gamma-ray pulsars, conducted using the Five-hundred-meter Aperture Spherical Radio Telescope (FAST). For PSR J1813$-$1246, we successfully detected pulsed signals with a spin period of 48.08 ms and a dispersion measure of 209.85 ${\rm pc cm^{-3}}$, consistent with the spin period measured at gamma-ray wavelengths. The estimated flux density is approximately 9 $μ$Jy. For the remaining 21 sources, no radio emission w…

Comparing probability distributions: application to quantum states of light
Soumyabrata Paul, V. Balakrishnan, S. Ramanan, S. Lakshmibala
https://arxiv.org/abs/2506.10760

Comparing probability distributions: application to quantum states of light
Probability distributions play a central role in quantum mechanics, and even more so in quantum optics with its rich diversity of theoretically conceivable and experimentally accessible quantum states of light. Quantifiers that compare two different states or density matrices in terms of `distances' between the respective probability distributions include the Kullback-Leibler divergence $D_{\rm KL}$, the Bhattacharyya distance $D_{\rm B}$, and the $p$-Wasserstein distance $W_{p}$. We present a …

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting
Abi I. Riley, Marta Blangiardo, Fr\'ed\'eric B. Piel, Andrew Beddows, Sean Beevers, Gary W. Fuller, Paul Agnew
https://arxiv.org/abs/2506.10688

A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5 in an Urban Setting
Airborne particulate matter (PM2.5) is a major public health concern in urban environments, where population density and emission sources exacerbate exposure risks. We present a novel Bayesian spatiotemporal fusion model to estimate monthly PM2.5 concentrations over Greater London (2014-2019) at 1km resolution. The model integrates multiple PM2.5 data sources, including outputs from two atmospheric air quality dispersion models and predictive variables, such as vegetation and satellite aerosol …

Landau theory of the density wave transition in trilayer Ruddlesden-Popper nickelates
M. R. Norman
https://arxiv.org/abs/2506.07870 https://

Landau theory of the density wave transition in trilayer Ruddlesden-Popper nickelates
This paper presents a Landau treatment of the incommensurate density wave transition observed in trilayer Ruddlesden-Popper nickelates and uses this to address the nature of the transition. The data are consistent with a spin driven transition with the distinct intertwining of charge and spin order due to being in or proximate to the first order transition region of the Landau phase diagram. From this approach, one also obtains an understanding of the variation of the transition temperature wit…

Analytic model for neutral penetration and plasma fueling
George J. Wilkie
https://arxiv.org/abs/2506.10906 https://arxiv.org/pdf/250…

Analytic model for neutral penetration and plasma fueling
Neutral atoms recycled from wall interaction interact with confined plasma, thereby refueling it, most strongly in the region closest to the wall. This occurs near the X-point in diverted configurations, or else near the wall itself in limited configurations. A progression of analytic models are developed for neutral density in the vicinity of a planar or linear source in an ionizing domain. First-principles neutral transport simulations with DEGAS2 are used throughout to test the validity and …

Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles
Sean Benevedes, Jesse Thaler
https://arxiv.org/abs/2506.00113 https://

Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles
We introduce wifi ensembles as a novel framework to obtain asymptotic frequentist uncertainties on density ratios, with a particular focus on neural ratio estimation in the context of high-energy physics. When the density ratio of interest is a likelihood ratio conditioned on parameters, wifi ensembles can be used to perform simulation-based inference on those parameters. After training the basis functions f_i(x), uncertainties on the weights w_i can be straightforwardly propagated to the estim…

Constraining the lensing dispersion from the angular clustering of binary black hole mergers
Fumihiro Chuman, Masamune Oguri
https://arxiv.org/abs/2506.10469

Constraining the lensing dispersion from the angular clustering of binary black hole mergers
Gravitational waves from inspiraling compact binaries provide direct measurements of luminosity distances and serve as a powerful probe of the high-redshift Universe. In addition to their role as standard sirens, they offer an opportunity to constrain small-scale density fluctuations through the dispersion in the distance-redshift relation induced by gravitational lensing. We propose a method to constrain this lensing dispersion without requiring the redshift information by analyzing the angula…

Density of algebraic points on products of curves
Jennifer Berg, Yu Fu, Evangelia Gazaki, Morena Porzio, James Rawson, Isabel Vogt
https://arxiv.org/abs/2507.00860

Density of algebraic points on products of curves
In this paper, we initiate the systematic study of density of algebraic points on surfaces. We give an effective asymptotic range in which the density degree set has regular behavior dictated by the index. By contrast, in small degree, the question of density is subtle and depends on the arithmetic of the curves. We give several explicit examples displaying these different behaviors, including products of genus $2$ curves with and without dense quadratic points. These results for products of cu…

Density Ratio Permutation Tests with connections to distributional shifts and conditional two-sample testing
Alberto Bordino, Thomas B. Berrett
https://arxiv.org/abs/2505.24529

Density Ratio Permutation Tests with connections to distributional shifts and conditional two-sample testing
We introduce novel hypothesis tests to allow for statistical inference for density ratios. More precisely, we introduce the Density Ratio Permutation Test (DRPT) for testing $H_0: g \propto r f$ based on independent data drawn from distributions with densities $f$ and $g$, where the hypothesised density ratio $r$ is a fixed function. The proposed test employs an efficient Markov Chain Monte Carlo algorithm to draw permutations of the combined dataset according to a distribution determined by $r…

Field-free perpendicular magnetization switching by altermagnet with collinear spin current
M. Q. Dong, Zhi-Xin Guo, Xin-Gao Gong
https://arxiv.org/abs/2506.10336

Field-free perpendicular magnetization switching by altermagnet with collinear spin current
The generation of collinear spin current (CSC), where both the propagation direction and spin-polarized direction aligned perpendicularly to the applied charge current, is crucial for efficiently manipulating systems with perpendicular magnetic anisotropy used in high-density magnetic recording. However, the efficient generation of CSC remains a challenge. In this work, based on the symmetry analysis, we propose that CSC can be effectively generated using altermagnets when the charge current is…

GEARS H: Accurate machine-learned Hamiltonians for next-generation device-scale modeling
Anubhab Haldar, Ali K. Hamze, Nikhil Sivadas, Yongwoo Shin
https://arxiv.org/abs/2506.10298

GEARS H: Accurate machine-learned Hamiltonians for next-generation device-scale modeling
We introduce GEARS H, a state-of-the-art machine-learning Hamiltonian framework for large-scale electronic structure simulations. Using GEARS H, we present a statistical analysis of the hole concentration induced in defective $\mathrm{WSe}_2$ interfaced with Ni-doped amorphous $\mathrm{HfO}_2$ as a function of the Ni doping rate, system density, and Se vacancy rate in 72 systems ranging from 3326 to 4160 atoms-a quantity and scale of interface electronic structure calculation beyond the reach o…

Density functional theory study of effect of NO annealing on electronic structures and carrier scattering properties of 4H-SiC(0001)/SiO$_2$ interface
Nahoto Funaki, Kosei Sugiyama, Mitsuharu Uemoto, Tomoya Ono
https://arxiv.org/abs/2506.23912

Density functional theory study of effect of NO annealing on electronic structures and carrier scattering properties of 4H-SiC(0001)/SiO$_2$ interface
The effect of the nitrided layer introduced by NO annealing on the electronic structure and carrier scattering property of the 4H-SiC(0001)/SiO$_2$ interface is investigated by the density functional theory calculation using the interface models where the areal N atom density corresponds to that in practical devices. The areal N atom density is one third of the areal C atom density in practical devices. It is found that the nitrided layer screens the unfavorable Coulomb interaction of O atoms i…