Tootfinder

Interesting, "GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter."
https://venturebeat.com/ai/how-much-information-do-llms-really-memorize-now-we-know-thanks-to-met…

How much information do LLMs really memorize? Now we know, thanks to Meta, Google, Nvidia and Cornell
Using a clever solution, researchers find GPT-style models have a fixed memorization capacity of approximately 3.6 bits per parameter.

Today I learned! Magento 1 Layout.XML and JSON to encode action parameter
https://winkelwagen.de/2025/06/05/magento-1-json-in-layout-xml/

Magento 1: JSON in layout xml
Today I learned, one can use JSON in Magento 1’s layout xml. Tell Magento which action parameter are json and that’s it. You can tell Magento that only one parameter is json, like this.…

Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
Hasin Us Sami, Swapneel Sen, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, Basak Guler
https://arxiv.org/abs/2506.04453

Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
Federated learning (FL) allows multiple data-owners to collaboratively train machine learning models by exchanging local gradients, while keeping their private data on-device. To simultaneously enhance privacy and training efficiency, recently parameter-efficient fine-tuning (PEFT) of large-scale pretrained models has gained substantial attention in FL. While keeping a pretrained (backbone) model frozen, each user fine-tunes only a few lightweight modules to be used in conjunction, to fit speci…

This https://arxiv.org/abs/2308.02636 has been replaced.
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Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure
The topology of the large-scale structure of the universe contains valuable information on the underlying cosmological parameters. While persistent homology can extract this topological information, the optimal method for parameter estimation from the tool remains an open question. To address this, we propose a neural network model to map persistence images to cosmological parameters. Through a parameter recovery test, we demonstrate that our model makes accurate and precise estimates, consider…

Cosmological Dynamics of Accelerating Model in $f(T)$ Gravity with Special Form of Deceleration Parameter
Shivank Pal, Romanshu Garg, Gyan Prakash Singh, Gauree Shanker
https://arxiv.org/abs/2506.03756

Cosmological Dynamics of Accelerating Model in $f(T)$ Gravity with Special Form of Deceleration Parameter
In this paper, the dynamical behavior of the accelerated expansion of the universe is discussed within the framework of $f(T)$ gravity for a particular form of $ f(T)=α(-T)^{n}$. Considering a redshift-dependent parameterization of the deceleration parameter as $q(z)=q_{0}+ q_{1}\left(\frac{ \ln(N+z)}{z+1}-\ln N \right)$. We have derived the Hubble parameter in terms of redshift and discussed its effect on other cosmological parameters. Using Bayesian statistical analysis and $χ^2$-minimizati…

Effective description of Nelson-Barr models and the theta parameter
Gustavo H. S. Alves, Celso C. Nishi
https://arxiv.org/abs/2506.03257 https://

Effective description of Nelson-Barr models and the theta parameter
Nelson-Barr theories solve the strong CP problem with CP spontaneously broken at Λ_{CP} and transmitted to the CP conserving version of the SM through vector-like quarks (VLQs). For an arbitrary number of CP breaking scalars and VLQs, we perform the full one-loop matching calculations at Λ_{CP} up to dimension five operators and the relevant matching calculations at the VLQ scale relevant to tracking the contributions to the parameter \barθ. In the EFT after the CP breaking scalars have been…

This https://arxiv.org/abs/2504.01759 has been replaced.
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Alpha-Beta HMM: Hidden Markov Model Filtering with Equal Exit Probabilities and a Step-Size Parameter
The hidden Markov model (HMM) provides a powerful framework for inference in time-varying environments, where the underlying state evolves according to a Markov chain. To address the optimal filtering problem in general dynamic settings, we propose the $αβ$-HMM algorithm, which simplifies the state transition model to a Markov chain with equal exit probabilities and introduces a step-size parameter to balance the influence of observational data and the model. By analyzing the algorithm's dyna…

This https://arxiv.org/abs/2504.19583 has been replaced.
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Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning
This paper proposes a parameter collaborative optimization algorithm for large language models, enhanced with graph spectral analysis. The goal is to improve both fine-tuning efficiency and structural awareness during training. In the proposed method, the parameters of a pre-trained language model are treated as nodes in a graph. A weighted graph is constructed, and Laplacian spectral decomposition is applied to enable frequency-domain modeling and structural representation of the parameter spa…

On the Dynamics of Invariant Graphs for Dissipative Twist Maps
Qi Li, Lin Wang
https://arxiv.org/abs/2506.04938 https://arxiv.org/pdf…

On the Dynamics of Invariant Graphs for Dissipative Twist Maps
For two-parameter families of dissipative twist maps, we study the dynamics of invariant graphs and the thresholds of their existence and breakdown. We obtain: (1) For arbitrary $C^1$-small perturbations, invariant graphs with prescribed rotation numbers can be realized through parameter adjustments; (2) The existence of almost sharp perturbations that trigger complete destruction of all invariant graphs; (3) When the perturbation lacks $C^1$-regularity, Lipschitz invariant graphs with non-diff…

A Parameter Survey of Neutron Star Accretion Column Simulations
Lizhong Zhang, Omer Blaes, Yan-Fei Jiang
https://arxiv.org/abs/2506.02288 https://

A Parameter Survey of Neutron Star Accretion Column Simulations
We conduct a parameter survey of neutron star accretion column simulations by solving the relativistic radiation MHD equations with opacities that account for strong magnetic fields and pair production. We study how column properties depend on accretion rate, magnetic field strength, and accretion flow geometry. All the simulated accretion columns exhibit kHz oscillatory behavior, consistent with our previous findings. We show how the predicted oscillation properties depend on the column parame…

Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction
Mitchel J. Colebank
https://arxiv.org/abs/2506.04538

Assessing parameter identifiability of a hemodynamics PDE model using spectral surrogates and dimension reduction
Computational inverse problems for biomedical simulators suffer from limited data and relatively high parameter dimensionality. This often requires sensitivity analysis, where parameters of the model are ranked based on their influence on the specific quantities of interest. This is especially important for simulators used to build medical digital twins, as the amount of data is typically limited. For expensive models, such as blood flow models, emulation is employed to expedite the simulation …

Learning Parametric Convex Functions
Maximilian Schaller, Alberto Bemporad, Stephen Boyd
https://arxiv.org/abs/2506.04183 https://arx…

Learning Parametric Convex Functions
A parametrized convex function depends on a variable and a parameter, and is convex in the variable for any valid value of the parameter. Such functions can be used to specify parametrized convex optimization problems, i.e., a convex optimization family, in domain specific languages for convex optimization. In this paper we address the problem of fitting a parametrized convex function that is compatible with disciplined programming, to some given data. This allows us to fit a function arising i…

This https://arxiv.org/abs/2401.00510 has been replaced.
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Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds
The family of Matérn kernels are often used in spatial statistics, function approximation and Gaussian process methods in machine learning. One reason for their popularity is the presence of a smoothness parameter that controls, for example, optimal error bounds for kriging and posterior contraction rates in Gaussian process regression. On closed Riemannian manifolds, we show that the smoothness parameter can be consistently estimated from the maximizer(s) of the Gaussian likelihood when the u…

This https://arxiv.org/abs/2402.13074 has been replaced.
initial toot: https://mastoxiv.page/@a…

AC Josephson Signatures of the Superconducting Higgs/Amplitude Mode
The Higgs mode in superconductors corresponds to oscillations of the amplitude of the order parameter. While its detection typically entails resonant optical excitation, we present a purely transport-based setup wherein it is excited in a voltage biased Josephson junction. Demonstrating the importance of order parameter dynamics, the interplay of Higgs resonance and Josephson physics enhances the second harmonic Josephson current oscillating at twice the usual Josephson frequency in transparent…

Engineering harmonic emission through spatial modulation in a Kitaev chain
Nivash R., S. Srinidhi, Jayendra N. Bandyopadhyay, Amol R. Holkundkar
https://arxiv.org/abs/2506.05003

Engineering harmonic emission through spatial modulation in a Kitaev chain
We investigate High-harmonic generation (HHG) in a dimerized Kitaev chain. The dimerization in the model is introduced through a site-dependent modulating potential, determined by a parameter $λ\in [-1:1]$. This parameter also determines the strength of the hopping amplitudes and tunes the system's topology. Depending upon the parameter $λ$, the HHG emission spectrum can be classified into three segments. The first segment exhibits two plateau structures, with the dominant one resulting from …

Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process
Jason J. Lambe, Feng Chen, Tom Stindl, Tsz-Kit Jeffrey Kwan
https://arxiv.org/abs/2506.01258

Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process
When the sample path of a Hawkes process is observed discretely, such that only the total event counts in disjoint time intervals are known, the likelihood function becomes intractable. To overcome the challenge of likelihood-based inference in this setting, we propose to use a likelihood-free approach to parameter estimation, where a fully connected neural network (NN) is trained using simulated data to estimate the parameters of the Hawkes process from a summary statistic of the count data. A…

This https://arxiv.org/abs/2406.02792 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Weak Degeneracy of Planar Graphs
The weak degeneracy of a graph $G$ is a numerical parameter that was recently introduced by the first two authors with the aim of understanding the power of greedy algorithms for graph coloring. Every $d$-degenerate graph is weakly $d$-degenerate, but the converse is not true in general (for example, all connected $d$-regular graphs except cycles and cliques are weakly $(d-1)$-degenerate). If $G$ is weakly $d$-degenerate, then the list-chromatic number of $G$ is at most $d+1$, and the same uppe…

The non-unit conjecture for Misiurewicz parameters
Robert L. Benedetto, Vefa Goksel
https://arxiv.org/abs/2506.05254 https://arxiv.or…

The non-unit conjecture for Misiurewicz parameters
A Misiurewicz parameter is a complex number $c$ for which the orbit of the critical point $z=0$ under $z^2+c$ is strictly preperiodic. Such parameters play the same role in dynamical moduli spaces as singular moduli (corresponding to CM elliptic curves) play on modular curves. Building on our earlier work, we investigate whether the difference of two Misiurewicz parameters can be an algebraic unit. (The corresponding question for singular moduli was recently answered in the negative by Li.) We …

$\mathrm{SL}(2,\mathbb{R})$ families of Kerr black holes
Robert Penna
https://arxiv.org/abs/2506.00184 https://arxiv.org/pdf/2506.001…

$\mathrm{SL}(2,\mathbb{R})$ families of Kerr black holes
The stationary, axisymmetric sector of vacuum general relativity (with zero cosmological constant) enjoys an $\mathrm{SL}(2,\mathbb{R})$ symmetry called the Matzner-Misner group. We study the action of the Matzner-Misner group on the Kerr black hole. We show that the group acts naturally on a three parameter generalization of the usual two parameter Kerr solution. The new parameter represents a large diffeomorphism which gives the spacetime an asymptotic angular velocity. We explain how the $\m…

When your function expects a path fragment string as a parameter, you MUST specify, explicitly, if it should have a leading, trailing, or neither forward slash.
If you do not say *explicitly in the docblock of that exact function/method*, then you are wrong and your code is wrong and I will curse your name every time I am forced to use your broken code.
#Programming

This https://arxiv.org/abs/2504.14170 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Collision Induced Binding and Transport of Shape Changing Robot Pairs
We report in experiment and simulation the spontaneous formation of dynamically bound pairs of shape changing robots undergoing locally repulsive collisions. These physical `gliders' robustly emerge from an ensemble of individually undulating three-link two-motor robots and can remain bound for hundreds of undulations and travel for multiple robot dimensions. Gliders occur in two distinct binding symmetries and form over a wide range of angular oscillation extent. This parameter sets the maxima…

Neural Jumps for Option Pricing
Duosi Zheng, Hanzhong Guo, Yanchu Liu, Wei Huang
https://arxiv.org/abs/2506.05137 https://arxiv.org/p…

Neural Jumps for Option Pricing
Recognizing the importance of jump risk in option pricing, we propose a neural jump stochastic differential equation model in this paper, which integrates neural networks as parameter estimators in the conventional jump diffusion model. To overcome the problem that the backpropagation algorithm is not compatible with the jump process, we use the Gumbel-Softmax method to make the jump parameter gradient learnable. We examine the proposed model using both simulated data and S&P 500 index options.…

Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding
Weiqing Xiao, Hao Huang, Chonghao Zhong, Yujie Lin, Nan Wang, Xiaoxue Chen, Zhaoxi Chen, Saining Zhang, Shuocheng Yang, Pierre Merriaux, Lei Lei, Hao Zhao
https://arxiv.org/abs/2506.03134

Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding
We present SA-Radar (Simulate Any Radar), a radar simulation approach that enables controllable and efficient generation of radar cubes conditioned on customizable radar attributes. Unlike prior generative or physics-based simulators, SA-Radar integrates both paradigms through a waveform-parameterized attribute embedding. We design ICFAR-Net, a 3D U-Net conditioned on radar attributes encoded via waveform parameters, which captures signal variations induced by different radar configurations. Th…

This https://arxiv.org/abs/2008.12591 has been replaced.
link: https://scholar.google.com/scholar?q=a

Convergence of adaptive stochastic collocation with finite elements
We consider an elliptic partial differential equation with a random diffusion parameter discretized by a stochastic collocation method in the parameter domain and a finite element method in the spatial domain. We prove convergence of an adaptive algorithm which adaptively enriches the parameter space as well as refines the finite element meshes.

This https://arxiv.org/abs/2410.07984 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Large Deviation Analysis for the Reverse Shannon Theorem
Channel simulation is to simulate a noisy channel using noiseless channels with unlimited shared randomness. This can be interpreted as the reverse problem to Shannon's noisy coding theorem. In contrast to previous works, our approach employs Rényi divergence (with the parameter $α\in(0,\infty)$) to measure the level of approximation. Specifically, we obtain the reverse Shannon theorem under the Rényi divergence, which characterizes the Rényi simulation rate, the minimum communication cost …

Multi-step Strong First-Order Electroweak Phase Transitions in the Inverted Type-I 2HDM: Parameter Space, Gravitational Waves, and Collider Phenomenology
Soojin Lee, Dongjoo Kim, Jin-Hwan Cho, Jinheung Kim, Jeonghyeon Song
https://arxiv.org/abs/2506.03260

Multi-step Strong First-Order Electroweak Phase Transitions in the Inverted Type-I 2HDM: Parameter Space, Gravitational Waves, and Collider Phenomenology
We investigate the nature of the electroweak phase transition (EWPT) in the Type-I two-Higgs-doublet model under the inverted Higgs scenario, where the observed 125 GeV Higgs boson corresponds to the heavier \textit{CP}-even scalar. We systematically map the parameter space viable for strong first-order EWPTs (SFOEWPTs) under current theoretical and experimental constraints, revealing that such transitions can occur through one-step, two-step, and rarely three-step pathways with distinct phenom…

This https://arxiv.org/abs/2505.08467 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

The matter with(in) CPL
We introduce a two-parameter phenomenological extension of the $Λ$CDM model in which the equation of state parameter of the ``dust'' fluid becomes different from zero for redshifts below a transition value $z_t$. Using data from DESI DR2 BAO, DESY5 Sn~Ia and CMB distance priors ($R,l_A,ω_b$) data, we compare our model with the standard CPL parameterization $w_0-w_a$ for dynamical dark energy. Using the Deviance Information Criteria (DIC), we find that the two models are essentially indistingu…

Going Bayesian on the ages of nearby young stellar systems I. The expansion rate method
J. Olivares, A. Berihuete, H. Bouy
https://arxiv.org/abs/2506.05110

Going Bayesian on the ages of nearby young stellar systems I. The expansion rate method
Context. Determining the ages of young stellar systems is fundamental to test and validate current star-formation theories. Aims. We aim at developing a Bayesian version of the expansion rate method that incorporates the a priori knowledge on the stellar system's age and solves some of the caveats of the traditional frequentist approach. Methods. We upgrade an existing Bayesian hierarchical model with additional parameter hierarchies that include, amongst others, the system's age. For this late…

This https://arxiv.org/abs/2310.14846 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Thin Gordian Unlinks
A gordian unlink is a finite number of unknots that are not topologically linked, each with prescribed length and thickness, and that cannot be disentangled into the trivial link by an isotopy preserving length and thickness throughout. In this note, we provide the first examples of gordian unlinks. As a consequence, we identify the existence of isotopy classes of unknots that differ from those in classical knot theory. More generally, we present a one-parameter family of gordian unlinks with…

This https://arxiv.org/abs/2409.11330 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Parameter dependent rough SDEs with applications to rough PDEs
Rough stochastic differential equations (rough SDEs), recently introduced by Friz, Hocquet and Lê in arXiv:2106.10340, have emerged as a versatile tool to study "doubly" SDEs under partial conditioning (with motivation from pathwise filtering and control, volatility modelling in finance and mean-field stochastic dynamics with common noise ...). While the full dynamics may be highly non-Markovian, the conditional dynamics often are. In natural (and even linear) situations, the resulting stochas…

This https://arxiv.org/abs/2410.19118 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Reproducing the effects of quantum deformation in the undeformed Jaynes-Cummings model
In the Jaynes-Cummings (JC) model, the time dependence in the coupling parameter allows changes in the forms of the Rabi oscillations. In the inverse problem approach (IPA), the time-dependent coupling parameter is obtained from the resulting population inversion. In this work, we employ the IPA to obtain a time-dependent coupling that reproduces the effects of $κ$-deformation in the population inversion of an undeformed JC. This is relevant because it may pave the way for simulating quantum d…

Time Glasses: Symmetry Broken Chaotic Phase with a Finite Gap
Taiki Haga
https://arxiv.org/abs/2506.04740 https://arxiv.org/pdf/2506.…

Time Glasses: Symmetry Broken Chaotic Phase with a Finite Gap
We introduce the time glass, a non-periodic analogue of the discrete time crystal that arises in periodically driven dissipative quantum many-body systems. This phase is defined by two key features: (i) spatial long-range order arising from the spontaneous breaking of an internal symmetry, and (ii) temporally chaotic oscillations of the order parameter, whose lifetime diverges with system size. To characterize the time glass phase, we focus on the spectral gap of the one-cycle (Floquet) Liouvil…

Tuning Shear Rheology through Active Dopants
Amir Shee, Ritwik Bandyopadhyay, Haicen Yue
https://arxiv.org/abs/2506.05262 https://arx…

Tuning Shear Rheology through Active Dopants
We numerically investigate the shear rheology of mixtures of active and passive Brownian particles, with varying fractions of active components. We find that even a small fraction of active dopants triggers fluidization with comparable efficiency to fully active systems. A combined parameter, active energy, given by dopant fraction multiplied by propulsion speed squared controls the shear rheology and glass transition of the active-passive mixtures. These results together provide a quantitative…

The $\mathcal{R}$-boundedness of solution operators for the $Q$-tensor model of nematic liquid crystals
Daniele Barbera, Miho Murata
https://arxiv.org/abs/2506.05152

The $\mathcal{R}$-boundedness of solution operators for the $Q$-tensor model of nematic liquid crystals
In this paper, we consider a resolvent problem arising from the $Q$-tensor model for liquid crystal flows in the half-space. Our purpose is to show the $\mathcal{R}$-boundedness for the solution operator families of the resolvent problem when the resolvent parameter lies near the origin. The definition of the $\mathcal{R}$-solvability implies the uniform boundedness of the operator and, consequently, the resolvent estimates for the linear system.

This https://arxiv.org/abs/2209.10950 has been replaced.
link: https://scholar.google.com/scholar?q=a

DELight: a Direct search Experiment for Light dark matter with superfluid helium
To reach ultra-low detection thresholds necessary to probe unprecedentedly low Dark Matter masses, target material alternatives and novel detector designs are essential. One such target material is superfluid $^4$He which has the potential to probe so far uncharted light Dark Matter parameter space at sub-GeV masses. The new ``Direct search Experiment for Light dark matter'', DELight, will be using superfluid helium as active target, instrumented with magnetic micro-calorimeters. It is being de…

This https://arxiv.org/abs/2505.21920 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective
The Segment Anything Model (SAM), a vision foundation model, exhibits impressive zero-shot capabilities in general tasks but struggles in specialized domains. Parameter-efficient fine-tuning (PEFT) is a promising approach to unleash the potential of SAM in novel scenarios. However, existing PEFT methods for SAM neglect the domain-invariant relations encoded in the pre-trained model. To bridge this gap, we propose InfoSAM, an information-theoretic approach that enhances SAM fine-tuning by distil…

Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
Lulu Nie, Baoqin Wen, Jingbin Li, Shufeng Li, Yali Li, Zhaokun Zhang, Zhiyuan Wang, Zhihao Fan
https://arxiv.org/abs/2506.03786

Discrete Element Parameter Calibration of Livestock Salt Based on Particle Scaling
In order to obtain accurate contact parameters for the discrete element simulation of salt particles used in animal husbandry, the principle of particle contact scaling and dimensional analysis were used for particle scaling. Firstly, the Plackett Burman experiment was used to screen the parameters that significantly affect the angle of repose: salt salt rolling friction coefficient, salt salt recovery coefficient, and salt steel rolling friction coefficient. Considering the influence of other …

Core-collapse supernova parameter estimation with the upcoming Vera C. Rubin Observatory
Andrea Simongini, F. Ragosta, I. Di Palma, S. Piranomonte
https://arxiv.org/abs/2506.04184

Core-collapse supernova parameter estimation with the upcoming Vera C. Rubin Observatory
The Vera Rubin Observatory's Legacy Survey of Space and Time (LSST) is expected to revolutionize time-domain optical astronomy as we know it. With its unprecedented depth, the LSST will survey the southern hemisphere sky, generating nearly 32 trillion observations over its nominal 10-year operation. Among these, approximately 10 million will be supernovae (SNe). These observations will uniquely characterize the SN population, enabling studies of known and rare SN types, detailed parameterizatio…

RESOLVE: Rare Event Surrogate Likelihood for Gravitational Wave Paleontology Parameter Estimation
Ann-Kathrin Schuetz, Alexander Migala, Adam Boesky, Alan W. P. Poon, Floor S. Broekgaarden, Aobo Li
https://arxiv.org/abs/2506.00757

RESOLVE: Rare Event Surrogate Likelihood for Gravitational Wave Paleontology Parameter Estimation
The first detection of gravitational waves, recognized by the 2017 Nobel Prize in Physics, has opened up a new research field: gravitational-wave paleontology. When massive stars evolve into black holes and collide, they create gravitational waves that propagate through space and time. These gravitational-waves, now detectable on Earth, act as fossils tracing the histories of the massive stars that created them. Estimating physics parameters of these massive stars from detected gravitational-wa…

Localized atomic vibrations caused by point impurity in long chains of noble gas atoms adsorbed in outer grooves of carbon nanobundle
E. V. Manzhelii, S. B. Feodosyev
https://arxiv.org/abs/2505.24497

Localized atomic vibrations caused by point impurity in long chains of noble gas atoms adsorbed in outer grooves of carbon nanobundle
The characteristics of discrete vibrational levels caused by a point three-parameter substitutional impurity in long linear chain of inert gas atoms adsorbed in groove on the surface of carbon nanobundle are studied. The impurity atom differs from the atoms of the chain in the following parameters: the mass, the parameter of interaction with neighboring atoms and the parameter of interaction with the substrate. Analytical expressions for the frequencies of the localized vibrations and the inten…

This https://arxiv.org/abs/2407.14318 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Some new results for the GHWS model
Here we outline some new results for the GHWS model which points to a discretization of parameter space into well differentiated collective dynamic states. We argue this can lead to basic processes in parameter space, starting with minimum modelling ingredients: a complex network with a disorder parameter and an excitable dynamics (cellular automata) on it.

This https://arxiv.org/abs/2501.00417 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

PureRank: A Parameter-Free Recursive Importance Measure for Network Nodes
Classical parameter-free centrality measures based on the recursive definition of importance (RDI), such as eigenvector centrality and Seeley centrality, are limited to strongly connected networks, while widely used methods like Katz centrality and PageRank rely on free parameters, such as the damping factor, to handle general networks. This motivates our central question: can an RDI-based importance (centrality) measure be defined for arbitrary networks without any tunable parameters? We answe…

This https://arxiv.org/abs/2009.00967 has been replaced.
link: https://scholar.google.com/scholar?q=a

Big Ramsey degrees using parameter spaces
We show that the universal homogeneous partial order has finite big Ramsey degrees and discuss several corollaries. Our proof relies on parameter spaces and the Carlson-Simpson theorem rather than on (a strengthening of) the Halpern-Läuchli theorem and the Milliken tree theorem, which are typically used to bound big Ramsey degrees in the existing literature (originating from the work of Laver and Milliken). This new technique has many additional applications. We show that the homogeneous uni…

This https://arxiv.org/abs/2306.11707 has been replaced.
link: https://scholar.google.com/scholar?q=a

Hexagonal circular 3-webs with reducible polar curves of degree three
The paper reports the progress with the classical problem, posed by Blaschke and Bol in 1938. We present new examples and new classifications of natural classes of hexagonal circular 3-webs. The main results is the classification of hexagonal circular 3-webs with reducible polar curves of degree 3 and description of hexagonal circular 3-webs admitting a one-parameter Möbius symmetry.

Axial quasi-normal modes of slowly rotating black holes in dynamical Chern-Simons gravity to second-order in spin and coupling
Tharaka Alapati (IIT Bombay), S. Shankaranarayanan (IIT Bombay)
https://arxiv.org/abs/2506.03600

Axial quasi-normal modes of slowly rotating black holes in dynamical Chern-Simons gravity to second-order in spin and coupling
We compute the quasi-normal mode (QNM) frequencies of slowly rotating black holes in dynamical Chern-Simons (dCS) gravity, including corrections up to second order in the black hole's dimensionless spin parameter ($χ$) and second order in the dCS coupling parameter ($α$). Due to the complexities of constructing a Newman-Penrose tetrad at this order, we employ a metric perturbation approach. We derive a system of coupled ordinary differential equations for the primary axial $l$-mode and the po…

IntLevPy: A Python library to classify and model intermittent and L\'evy processes
Shailendra Bhandari, Pedro Lencastre, Sergiy Denysov, Yurii Bystryk, Pedro G. Lind
https://arxiv.org/abs/2506.03729

IntLevPy: A Python library to classify and model intermittent and Lévy processes
IntLevPy provides a comprehensive description of the IntLevPy Package, a Python library designed for simulating and analyzing intermittent and Lévy processes. The package includes functionalities for process simulation, including full parameter estimation and fitting optimization for both families of processes, moment calculation, and classification methods. The classification methodology utilizes adjusted-$R^2$ and a noble performance measure Γ, enabling the distinction between intermittent …

MLorc: Momentum Low-rank Compression for Large Language Model Adaptation
Wei Shen, Yaxiang Zhang, Minhui Huang, Mengfan Xu, Jiawei Zhang, Cong Shen
https://arxiv.org/abs/2506.01897

MLorc: Momentum Low-rank Compression for Large Language Model Adaptation
With increasing size of large language models (LLMs), full-parameter fine-tuning imposes substantial memory demands. To alleviate this, we propose a novel memory-efficient training paradigm called Momentum Low-rank compression (MLorc). By directly compressing and reconstructing momentum rather than gradients, MLorc avoids imposing a fixed-rank constraint on weight update matrices and better preserves the training dynamics of full-parameter fine-tuning, in contrast to existing low-rank approache…

Estimating properties of a homogeneous bounded soil using machine learning models
Konstantinos Kalimeris, Leonidas Mindrinos, Nikolaos Pallikarakis
https://arxiv.org/abs/2506.04256

Estimating properties of a homogeneous bounded soil using machine learning models
This work focuses on estimating soil properties from water moisture measurements. We consider simulated data generated by solving the initial-boundary value problem governing vertical infiltration in a homogeneous, bounded soil profile, with the usage of the Fokas method. To address the parameter identification problem, which is formulated as a two-output regression task, we explore various machine learning models. The performance of each model is assessed under different data conditions: full,…

This https://arxiv.org/abs/2505.15998 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics
We present a method for the automated discovery of system-level dynamics in Flow-Lenia$-$a continuous cellular automaton (CA) with mass conservation and parameter localization$-$using a curiosity-driven AI scientist. This method aims to uncover processes leading to self-organization of evolutionary and ecosystemic dynamics in CAs. We build on previous work which uses diversity search algorithms in Lenia to find self-organized individual patterns, and extend it to large environments that support…

This https://arxiv.org/abs/2312.00871 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

The q-Schwarzian and Liouville gravity
We present a new holographic duality between q-Schwarzian quantum mechanics and Liouville gravity. The q-Schwarzian is a one parameter deformation of the Schwarzian, which is dual to JT gravity and describes the low energy sector of SYK. We show that the q-Schwarzian in turn is dual to sinh dilaton gravity. This one parameter deformation of JT gravity can be rewritten as Liouville gravity. We match the thermodynamics and classical two point function between q-Schwarzian and Liouville gravity. W…

New level density parameter beyond Egidy-Bucurescu's systematics
Junzhe Zhang, Yanan Zheng, Caixin Yuan, Yangyang Shen, Yingchen Mao
https://arxiv.org/abs/2506.02322

New level density parameter beyond Egidy-Bucurescu's systematics
Extending beyond the Egidy-Bucurescu systematics, the nuclear level density parameters (LDPs) for the back-shifted Fermi gas model were compiled. Three forms of LDPs were fitted: the liquid-drop model (LDM), the droplet model (DM), and the power-law dependence on mass number A. Additionally, the root-mean-square deviations (RMSDs) of the new LDPs and existing literature values were calculated. The newly fitted global LDM-type parameters outperform the commonly used Toke-Swiatecki parameters in …

Speeding up Model Loading with fastsafetensors
Takeshi Yoshimura, Tatsuhiro Chiba, Manish Sethi, Daniel Waddington, Swaminathan Sundararaman
https://arxiv.org/abs/2505.23072

Speeding up Model Loading with fastsafetensors
The rapid increases in model parameter sizes introduces new challenges in pre-trained model loading. Currently, machine learning code often deserializes each parameter as a tensor object in host memory before copying it to device memory. We found that this approach underutilized storage throughput and significantly slowed down loading large models with a widely-used model file formats, safetensors. In this work, we present fastsafetensors, a Python library designed to optimize the deserializati…

Upper bounds on the theta function of random graphs
Uriel Feige, Vadim Grinberg
https://arxiv.org/abs/2506.02952 https://arxiv.org/pd…

Upper bounds on the theta function of random graphs
The theta function of Lovasz is a graph parameter that can be computed up to arbitrary precision in polynomial time. It plays a key role in algorithms that approximate graph parameters such as maximum independent set, maximum clique and chromatic number, or even compute them exactly in some models of random and semi-random graphs. For Erdos-Renyi random $G_{n,1/2}$ graphs, the expected value of the theta function is known to be at most $2\sqrt{n}$ and at least $\sqrt{n}$. These bounds have not …

Greedy recursion parameter selection for the One-Way Navier-Stokes (OWNS) equations
Michael K. Sleeman, Tim Colonius
https://arxiv.org/abs/2506.02320 https…

Greedy recursion parameter selection for the One-Way Navier-Stokes (OWNS) equations
The One-Way Navier-Stokes (OWNS) equations use recursive filtering to construct efficient, well-posed one-way approximations to linear hyperbolic systems. The recursion parameters are critical to the accuracy and stability of the method, and have previously been chosen based on heuristic estimates of key eigenvalues (or their branches), which converges slowly and requires trial-and-error tuning for new systems. We review the projection and recursive OWNS formulations (OWNS-P and OWNS-R) for inh…

This https://arxiv.org/abs/2506.03405 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Age-Structured Population Dynamics
This chapter reviews some aspects of the theory of age-structured models of populations with finite maximum age. We formulate both the renewal equation for the birth rate and the partial differential equation for the age density, and show their equivalence. Next, we define and discuss central concepts in population dynamics, like the basic reproduction number $R_0$, the Malthusian parameter $r$, and the stable age distribution. We briefly review the sun-star theory that turns the birth term int…

Collapse of the $ \mathfrak{sl}_2 $-triple associated to the $ (k, a) $-generalized Fourier transform
Tatsuro Hikawa
https://arxiv.org/abs/2505.22607 https…

Collapse of the $ \mathfrak{sl}_2 $-triple associated to the $ (k, a) $-generalized Fourier transform
Ben Saïd--Kobayashi--Ørsted introduced a family of $ \mathfrak{sl}_2 $-triples of differential operators $ \mathbb{H}_{k, a} $, $ \mathbb{E}^+_{k, a} $ and $ \mathbb{E}^-_{k, a} $ on $ \mathbb{R}^N \setminus \{0\} $ indexed by a Dunkl parameter $ k $ and a deformation parameter $ a \neq 0 $. In the present paper, we fix $ k = 0 $ and study the behavior as the parameter $ a $ approaches $ 0 $. In this limit, the Lie algebra $ \mathfrak{g}_a = \operatorname{span}_{\mathbb{R}} \{\mathbb{H}_a, \m…

This https://arxiv.org/abs/2404.03152 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Orthogonal calibration via posterior projections with applications to the Schwarzschild model
The orbital superposition method originally developed by Schwarzschild (1979) is used to study the dynamics of growth of a black hole and its host galaxy, and has uncovered new relationships between the galaxy's global characteristics. Scientists are specifically interested in finding optimal parameter choices for this model that best match physical measurements along with quantifying the uncertainty of such procedures. This renders a statistical calibration problem with multivariate outcomes. …

Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction
Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor
https://arxiv.org/abs/2505.23872

Parameter-Free Bio-Inspired Channel Attention for Enhanced Cardiac MRI Reconstruction
Attention is a fundamental component of the human visual recognition system. The inclusion of attention in a convolutional neural network amplifies relevant visual features and suppresses the less important ones. Integrating attention mechanisms into convolutional neural networks enhances model performance and interpretability. Spatial and channel attention mechanisms have shown significant advantages across many downstream tasks in medical imaging. While existing attention modules have proven …

Bi-Level optimization for parameter estimation of differential equations using interpolation
Siddharth Prabhu, Srinivas Rangarajan, Mayuresh Kothare
https://arxiv.org/abs/2506.00720

Bi-Level optimization for parameter estimation of differential equations using interpolation
Inverse problem or parameter estimation of ordinary differential equations is a process of obtaining the best parameters using experimental measurements of the states. Single (Multiple)-shooting is a type of sequential optimization method that minimizes the error in the measured and numerically integrated states. However, this requires computing sensitivities i.e. the derivatives of states with respect to the parameters over the numerical integrator, which can get computationally expensive. To …

This https://arxiv.org/abs/2505.09400 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Structured coalescents, coagulation equations and multi-type branching processes
Consider a structured population consisting of $d$ colonies, with migration rates that are proportional to a positive parameter $K$. We sample $N_K$ individuals distributed evenly across the $d$ colonies and trace their ancestral lineages back. Within a colony, we assume that pairs of ancestral lineages coalesce at a constant rate, as in a Kingman's coalescent. We identify each ancestral lineage with the set, or block, of its descendants in the sample and we encode the state of the system using…

This https://arxiv.org/abs/2403.05349 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Extended Sobolev scale for vector bundles, and its applications
We study an extended Sobolev scale for smooth vector bundles over a smooth closed manifold. This scale is built on the base of inner product distribution spaces of generalized smoothness given by an arbitrary positive function OR-varying at infinity. We show that this scale is obtained by the quadratic interpolation (with a function parameter) between inner product Sobolev spaces, is closed with respect to the quadratic interpolation, and consists of all Hilbert spaces that are interpolation sp…

This https://arxiv.org/abs/2409.08928 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Self-Organizing State-Space Models with Artificial Dynamics
We consider the problem of performing parameter and state inference in a state-space model (SSM) parametrized by a static parameter $θ$. A popular idea to address this problem consists of incorporating $θ$ in the state of the system and allowing its time evolution, modelled as a Markov chain $(θ_t)_{t\geq 1}$. This proxy model defines a so-called self-organizing SSM (SO-SSM) to which one may apply standard particle filters. However, the practical implementation of this idea in a theoreticall…

Toward Khintchine's theorem with a moving target: extra divergence or finitely centered target
Gilbert Michaud, Felipe A. Ram\'irez
https://arxiv.org/abs/2506.04187

Toward Khintchine's theorem with a moving target: extra divergence or finitely centered target
Sz{ü}sz's inhomogeneous version (1958) of Khintchine's theorem (1924) gives conditions on $ψ:\mathbb{N}\to\mathbb{R}_{\geq 0}$ under which for almost every real number $α$ there exist infinitely many rationals $p/q$ such that \begin{equation*} \lvertα- \frac{p+γ}{q}\rvert < \frac{ψ(q)}{q}, \end{equation*} where $γ\in\mathbb{R}$ is some fixed inhomogeneous parameter. It is often interpreted as a statement about visits of $qα\,(\bmod 1)$ to a shrinking target centered around $γ\,(\bmod…

This https://arxiv.org/abs/2406.18080 has been replaced.
initial toot: https://mastoxiv.page/@a…

Capacitance-based Fermion parity read-out and predicted Rabi oscillations in a Majorana nanowire
Recent experiments have measured flux dependent capacitance at radio frequencies leading to the potential for a fast parity read-out of a Majorana qubit. In this work we argue that the quantum dot used in the capacitance measurement can be reasonably approximated by a non-interacting weakly coupled orbital. We then predict the measured flux and parity dependent capacitance for several parameter regimes of the disordered Majorana nanowire model that are both topological and trivial. Following th…

This https://arxiv.org/abs/2412.08732 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Exploring superconformal Yang-Mills theories through matrix Bessel kernels
A broad class of observables in four-dimensional $\mathcal{N}=2$ and $\mathcal{N}=4$ superconformal Yang-Mills theories can be exactly computed for arbitrary 't Hooft coupling as Fredholm determinants of integrable Bessel operators. These observables admit a unifying description through a one-parameter generating function, which possesses a determinant representation involving a matrix generalization of the Bessel operator. We analyze this generating function over a wide range of parameter valu…

This https://arxiv.org/abs/1903.01933 has been replaced.
link: https://scholar.google.com/scholar?q=a

Sparkling saddle loops of vector fields on surfaces
We study bifurcations of vector fields on 2-manifolds with handles in generic one-parameter families unfolding vector fields with a separatrix loop of a hyperbolic saddle. These bifurcations can differ drastically from the analogous bifurcations on the sphere. The reason is that, on a surface, a free separatrix of a hyperbolic saddle may wind toward the separatrix loop of the same saddle. When this loop is broken, sparkling saddle loops emerge. In the orientable case, the parameter values corre…

This https://arxiv.org/abs/2506.03975 has been replaced.
initial toot: https://mastoxiv.page/@a…

Nernst effect and its thickness dependence in superconducting NbN films
Superconducting thin films and layered crystals display a Nernst signal generated by short-lived Cooper pairs above their critical temperature. Several experimental studies have broadly verified the standard theory invoking Gaussian fluctuations of a two-dimensional superconducting order parameter. Here, we present a study of the Nernst effect in granular NbN thin films with a thickness varying from 4 to 30 nm, exceeding the short superconducting coherence length and putting the system in the t…

Beamforming for Secure RSMA-Aided ISAC Systems
Qian Dan, Hongjiang Lei, Ki-Hong Park, Gaofeng Pan
https://arxiv.org/abs/2506.03622 https://

Beamforming for Secure RSMA-Aided ISAC Systems
This work investigates the physical layer security of rate-splitting multiple access (RSMA)-aided integrated communication and sensing (ISAC) systems. The ISAC base station (BS) transmits signals to communicate with users in an eavesdropped scenario and to estimate the parameters of the sensed targets. The research considers different sensing signals under RSMA technology and the Cram{é}r-Rao bound of the parameter estimation is utilized as the sensing metric. With the channel state informatio…

This https://arxiv.org/abs/2506.02551 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Impact of convective overshooting on the single-degenerate model of Type Ia supernovae
The single-degenerate (SD) model is one of the principal models for the progenitors of Type Ia supernovae (SNe Ia). However, it faces some challenges, the primary being its inability to account for the observed SN Ia birth rate. Many studies have attempted to address this issue by expanding the parameter space, defined by the initial donor star mass and orbital period, that can lead to SNe Ia, as well as by improving binary population synthesis. While these efforts have led to significant progr…

Model Splitting Enhanced Communication-Efficient Federated Learning for CSI Feedback
Yanjie Dong, Haijun Zhang, Gaojie Chen, Xiaoyi Fan, Victor C. M. Leung, Xiping Hu
https://arxiv.org/abs/2506.04113

Model Splitting Enhanced Communication-Efficient Federated Learning for CSI Feedback
Recent advancements have introduced federated machine learning-based channel state information (CSI) compression before the user equipments (UEs) upload the downlink CSI to the base transceiver station (BTS). However, most existing algorithms impose a high communication overhead due to frequent parameter exchanges between UEs and BTS. In this work, we propose a model splitting approach with a shared model at the BTS and multiple local models at the UEs to reduce communication overhead. Moreover…

Novel black holes with scalar hair in the Einstein-Maxwell-Scalar Theory with positive coupling
Hong Guo, Wei-Liang Qian, Bean Wang
https://arxiv.org/abs/2506.02445

Novel black holes with scalar hair in the Einstein-Maxwell-Scalar Theory with positive coupling
In this work, we find a new branch of hairy black hole solutions in the Einstein-Maxwell-Scalar (EMS) theory in four-dimensional asymptotically flat spacetimes. Different from spontaneous scalarization induced by tachyonic instabilities in Reissner-Nordström (RN) black holes with a negative coupling parameter, these scalar-hairy black hole solutions arise when the coupling parameter is positive, where nonlinear coupling plays the dominant role, meaning that the coupling is positively correlate…

This https://arxiv.org/abs/2502.00805 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Constraints on Lorentz Invariance Violation from Gamma-ray Burst rest-frame spectral lags using Profile Likelihood
We reanalyze the spectral lag data for 56 Gamma-Ray Bursts (GRBs) in the cosmological rest frame to search for Lorentz Invariance Violation (LIV) using frequentist inference. For this purpose, we use the technique of profile likelihood to deal with the nuisance parameters, corresponding to a constant time lag in the GRB rest frame and an unknown intrinsic scatter, while the parameter of interest is the energy scale for LIV ($E_{QG}$). With this method, we do not obtain a global minimum for $χ^…

This https://arxiv.org/abs/2412.08151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Improving cosmological constraints via galaxy intrinsic alignment in full-shape analysis
The intrinsic alignment (IA) of galaxy shapes probes the underlying gravitational tidal field, thus offering cosmological information complementary to galaxy clustering. In this paper, we perform a Fisher forecast to assess the benefit of IA in improving cosmological parameter constraints, for the first time, leveraging the full-shape (FS) information of IA statistics. Our forecast is based on PFS-like and Euclid-like surveys as examples of deep and wide galaxy surveys, respectively. We explore…

This https://arxiv.org/abs/2305.15549 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data
Improving the accuracy of soil moisture estimation is required for advancing irrigation scheduling and water conservation efforts. Central to this task are soil hydraulic parameters, which govern moisture dynamics but are rarely known precisely and must therefore be inferred from observational data. In large-scale agricultural fields, estimating the complete set of these parameters is often impractical due to the sparse and noisy nature of available measurements. To address this challenge, this…

Point Jacobi-type preconditioning and parameter tuning for Calderon-preconditioned Burton-Miller method in transmission problems
Keigo Tomoyasu, Hiroshi Isakari
https://arxiv.org/abs/2506.01440

Point Jacobi-type preconditioning and parameter tuning for Calderon-preconditioned Burton-Miller method in transmission problems
It was recently demonstrated that the boundary element method based on the Burton-Miller formulation (BM-BEM), widely used for solving exterior problems, can be adapted to solve transmission problems efficiently. This approach utilises Calderon's identities to improve the spectral properties of the underlying integral operator. Consequently, most eigenvalues of the squared BEM coefficient matrix, i.e. the collocation-discretised version of the operator, cluster at a few points in the complex pl…

Lipschitz stability for Bayesian inference in porous medium tissue growth models
Tomasz D\k{e}biec, Piotr Gwiazda, B{\l}a\.zej Miasojedow, Katarzyna Ryszewska, Zuzanna Szyma\'nska, Aneta Wr\'oblewska-Kami\'nska
https://arxiv.org/abs/2506.04769

Lipschitz stability for Bayesian inference in porous medium tissue growth models
We consider a macroscopic model for the dynamics of living tissues incorporating pressure-driven dispersal and pressure-modulated proliferation. Given a power-law constitutive relation between the pressure and cell density, the model can be written as a porous medium equation with a growth term. We prove Lipschitz continuity of the mild solutions of the model with respect to the diffusion parameter (the exponent $γ$ in the pressure-density law) in the $L_1$ norm. While of independent analytica…

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Florian F\"urrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Mu\~noz-Gil
https://arxiv.org/abs/2506.01666

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Efficiently compiling quantum operations remains a major bottleneck in scaling quantum computing. Today's state-of-the-art methods achieve low compilation error by combining search algorithms with gradient-based parameter optimization, but they incur long runtimes and require multiple calls to quantum hardware or expensive classical simulations, making their scaling prohibitive. Recently, machine-learning models have emerged as an alternative, though they are currently restricted to discrete ga…

This https://arxiv.org/abs/2504.00420 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
Building a lifelong robot that can effectively leverage prior knowledge for continuous skill acquisition remains significantly challenging. Despite the success of experience replay and parameter-efficient methods in alleviating catastrophic forgetting problem, naively applying these methods causes a failure to leverage the shared primitives between skills. To tackle these issues, we propose Primitive Prompt Learning (PPL), to achieve lifelong robot manipulation via reusable and extensible primi…

This https://arxiv.org/abs/2501.06935 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Feedback Arc Sets and Feedback Arc Set Decompositions in Weighted and Unweighted Oriented Graphs
For any arc-weighted oriented graph $D=(V(D), A(D),w)$, we write ${\rm fas}_w(D)$ to denote the minimum weight of a feedback arc set in $D$. In this paper, we consider upper bounds on ${\rm fas}_w(D)$ for arc-weight oriented graphs $D$ with bounded maximum degrees and directed girth. We obtain such bounds by introducing a new parameter ${\rm fasd}(D)$, which is the maximum integer such that $A(D)$ can be partitioned into ${\rm fasd}(D)$ feedback arc sets. This new parameter seems to be intere…

Shadow constraints of charged black hole with scalar hair and gravitational waves from extreme mass ratio inspirals
Lai Zhao, Meirong Tang, Zhaoyi Xu
https://arxiv.org/abs/2506.04971

Shadow constraints of charged black hole with scalar hair and gravitational waves from extreme mass ratio inspirals
Black hole (BH) shadow observations and gravitational wave astronomy have become crucial approaches for exploring BH physics and testing gravitational theories in extreme environments. This paper investigates the charged black hole with scalar hair (CBH-SH) derived from the Einstein-Maxwell-conformal coupled scalar (EMCS) theory. We first constrain the parameter space $(Q/M, s/M^2)$ of the BH using the Event Horizon Telescope (EHT) observations of M87* and Sgr A*. The results show that M87* pro…

This https://arxiv.org/abs/2504.00466 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Multiplicity distribution under the reflective scattering mode
Transition to the reflective scattering mode which has emerged at the highest LHC energy of $\sqrt{s}=13$ TeV results in a relative shrinkage with the energy of the impact parameter region responsible for the inelastic hadron collisions. Respective increasing role of the multiplicity fluctuations of quantum origin is emphasized.

Dynamically derived morphology from the recurrence patterns of close binary stars using Kepler data
Anisha R. V. Kashyap, D. Pawar, R. Misra, G. Ambika, Sandip V George
https://arxiv.org/abs/2506.04111

Dynamically derived morphology from the recurrence patterns of close binary stars using Kepler data
In this work, we propose a novel method to classify close binary stars, derived from the dynamical structure inherent in their light curves. We apply the technique to light curves of binaries from the revised Kepler Eclipsing binary catalog, selecting close binaries which have the standard morphology parameter, $c$, $\gt 0.5$ corresponding to semi-detached, over-contact and ellipsoidal systems. Using the method of time delay embedding, we recreate the non-linear dynamics underlying the data and…

Cosmology Constraints from Type Ia Supernova Simulations of the Nancy Grace Roman Space Telescope Strategy Recommended by the High Latitude Time Domain Survey Definition Committee
Richard Kessler, Rebekah Hounsell, Bhavin Joshi, David Rubin, Masao Sako, Rebecca Chen, Vivian Miranda, Benjamin. M. Rose
https://arxiv.org/abs/2506.0…

Cosmology Constraints from Type Ia Supernova Simulations of the Nancy Grace Roman Space Telescope Strategy Recommended by the High Latitude Time Domain Survey Definition Committee
Within the next few years, the upcoming Nancy Grace Roman Space Telescope will be gathering data for the High Latitude Time Domain Survey (HLTDS) that will be used to significantly improve the Type Ia supernova measurement of the dark energy equation of state parameters w0 and wa. Here we generate a catalog-level simulation of the in-guide strategy recommended by the HLTDS definition committee, and determine dark energy parameter constraints using a detailed analysis that includes light curve f…

Existence and multiplicity of normalized solutions for the generalized Kadomtsev-Petviashvili equation in $\mathbb{R}^2$
Claudianor O. Alves, Rui Ding, Chao Ji
https://arxiv.org/abs/2506.04967

Existence and multiplicity of normalized solutions for the generalized Kadomtsev-Petviashvili equation in $\mathbb{R}^2$
In this paper, we study the existence and {multiplicity} of nontrivial solitary waves for the generalized Kadomtsev-Petviashvili equation with prescribed {$L^2$-norm} \begin{equation*}\label{Equation1} \left\{\begin{array}{l} \left(-u_{x x}+D_x^{-2} u_{y y}+λu-f(u)\right)_x=0,{\quad x \in \mathbb{R}^2, } \\[10pt] \displaystyle \int_{\mathbb{R}^2}u^2 d x=a^2, \end{array}\right.%\tag{$\mathscr E_λ$} \end{equation*} where $a>0$ and $λ\in \mathbb{R}$ is an unknown parameter that appears …

This https://arxiv.org/abs/2410.13219 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Fundamental Limits of Pulse Based UWB ISAC Systems: A Parameter Estimation Perspective
This paper investigates a bi-static integrated sensing and communication (ISAC) system for multi-target scenarios using impulse radio ultra-wideband (IR-UWB) signals, which offer fine temporal resolution, low power consumption, and strong resistance to multipath interference. Two typical modulation schemes, namely pulse position modulation (PPM) and binary phase shift keying (BPSK), are considered for communication over the delay and phase domains, respectively. Accordingly, we introduce a pilo…

Periodic Orbits and Gravitational Wave Radiation of Black Holes in 4D-EGB gravity
Liping Meng, Zhaoyi Xu, Meirong Tang
https://arxiv.org/abs/2506.05015 htt…

Periodic Orbits and Gravitational Wave Radiation of Black Holes in 4D-EGB gravity
In the paper, we study the dynamical behavior of a particle around a charged black hole within the framework of 4D-EGB gravity theory. Based on the spacetime metric of the black hole, we rigorously derived the effective potential of the particle and analyzed the particle's MBO and ISCO. The results show that the key physical quantities of MBO and ISCO-including orbital radius, angular momentum, and energy-all exhibit significant dependence on parameter $α$ and charge $Q$. As these two paramete…

This https://arxiv.org/abs/2503.07012 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Large $θ$ angle in two-dimensional large $N$ $\mathbb{CP}^{N-1}$ model
In confining large $N$ theories with a $θ$ angle such as four-dimensional $\mathrm{SU}(N)$ pure Yang-Mills theory, there are multiple metastable vacua and it makes sense to consider the parameter region of ``large $θ$ of order $N$'' despite the fact that $θ$ is a $2π$-periodic parameter. We investigate this parameter region in the two-dimensional $\mathbb{CP}^{N-1}$ model by computing the partition function on $T^2$. When $θ/N$ is of order $ \mathcal{O}(0.1) $ or less, we get perfectly sen…

This https://arxiv.org/abs/2308.07803 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Misspecified Bernstein-Von Mises theorem for hierarchical models
We derive a Bernstein von-Mises theorem in the context of misspecified, non-i.i.d., hierarchical models parametrized by a finite-dimensional parameter of interest. We apply our results to hierarchical models containing non-linear operators, including the squared integral operator, and PDE-constrained inverse problems. More specifically, we consider the elliptic, time-independent Schrödinger equation with parametric boundary condition and general parabolic PDEs with parametric potential and bou…

This https://arxiv.org/abs/2408.00277 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Stochastic Domination of Exit Times for Random Walks and Brownian Motion with Drift
In this note, by an elementary use of Girsanov's transform we show that the exit time for either a biased random walk or a drifted Brownian motion on a symmetric interval is stochastically monotone with respect to the drift parameter. In the random walk case, this gives an alternative proof of a recent result of E. Peköz and R. Righter in 2024. Our arguments in both discrete and continuous cases are parallel to each other. We also outline a simple SDE proof for the Brownian case based on a sta…

This https://arxiv.org/abs/2409.01198 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Direct Kinematics, Inverse Kinematics, and Motion Planning of 1-DoF Rational Linkages
This study presents a set of algorithms that deal with trajectory planning of rational single-loop mechanisms with one degree of freedom (DoF). Benefiting from a dual quaternion representation of a rational motion, a formula for direct (forward) kinematics, a numerical inverse kinematics algorithm, and the generation of a driving-joint trajectory are provided. A novel approach using the Gauss-Newton search for the one-parameter inverse kinematics problem is presented. Additionally, a method for…

Global Kinetic Simulations of Monster Shocks and Their Emission
Dominic Bernardi, Yajie Yuan, Alexander Y. Chen
https://arxiv.org/abs/2506.04175 https://…

Global Kinetic Simulations of Monster Shocks and Their Emission
Fast magnetosonic waves are one of the two low-frequency plasma modes that can exist in a neutron star magnetosphere. It was recently realized that these waves may become nonlinear within the magnetosphere and steepen into some of the strongest shocks in the universe. These shocks, when in the appropriate parameter regime, may emit GHz radiation in the form of precursor waves. We present the first global Particle-in-Cell simulations of the nonlinear steepening of fast magnetosonic waves in a di…

Probing Cosmic Curvature with Fast Radio Bursts and DESI DR2
J\'eferson A. S. Fortunato, Wiliam S. Hip\'olito-Ricaldi, Gustavo E. Romero
https://arxiv.org/abs/2506.01504

Probing Cosmic Curvature with Fast Radio Bursts and DESI DR2
The spatial curvature of the Universe remains a central question in modern cosmology. In this work, we explore the potential of localized Fast Radio Bursts (FRBs) as a novel tool to constrain the cosmic curvature parameter $Ω_k$ in a cosmological model-independent way. Using a sample of 80 FRBs with known redshifts and dispersion measures, we reconstruct the Hubble parameter $H(z)$ via artificial neural networks, which is then used to obtain angular diameter distances $D_A(z)$ through two comp…

2-Homogeneous bipartite distance-regular graphs and the quantum group $U^\prime_q(\mathfrak{so}_6)$
Paul Terwilliger
https://arxiv.org/abs/2506.02190 https…

2-Homogeneous bipartite distance-regular graphs and the quantum group $U^\prime_q(\mathfrak{so}_6)$
We consider a 2-homogeneous bipartite distance-regular graph $Γ$ with diameter $D \geq 3$. We assume that $Γ$ is not a hypercube nor a cycle. We fix a $Q$-polynomial ordering of the primitive idempotents of $Γ$. This $Q$-polynomial ordering is described using a nonzero parameter $q \in \mathbb C$ that is not a root of unity. We investigate $Γ$ using an $S_3$-symmetric approach. In this approach one considers $V^{\otimes 3} = V \otimes V \otimes V$ where $V$ is the standard module of $Γ$. W…

This https://arxiv.org/abs/2410.20426 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Exact Temporal Variation for Fractional Stochastic Heat Equation Driven by Space-Time White Noise
In this paper, we consider the exact fractional variation for the temporal process of the solution to the fractional stochastic heat equation on $\mathbb{R}$ driven by a space-time white noise, and as an application we give the estimate of drift parameter.

Impact of convective overshooting on the single-degenerate model of Type Ia supernovae
Xinghuan Wang, Xiangcun Meng
https://arxiv.org/abs/2506.02551 https:…

Impact of convective overshooting on the single-degenerate model of Type Ia supernovae
The single-degenerate (SD) model is one of the principal models for the progenitors of Type Ia supernovae (SNe Ia). However, it faces some challenges, the primary being its inability to account for the observed SN Ia birth rate. Many studies have attempted to address this issue by expanding the parameter space, defined by the initial donor star mass and orbital period, that can lead to SNe Ia, as well as by improving binary population synthesis. While these efforts have led to significant progr…

Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC
Bruno Felipe Costa, Taufik Abr\~ao
https://arxiv.org/abs/2506.02624 https://…

Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC
This paper develops an integrated OTFS-RSMA framework employing advanced SP techniques tailored for this demanding environment. We derive refined communication performance metrics, specifically SINR expressions capturing the practical effects of ICSI and ISIC. Moreover, fundamental sensing limits are established via CRB derivation incorporating parameter-dependent echo gain, linking waveform SP properties to estimation accuracy. The resource allocation is formulated as a non-convex optimization…

An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian
Siqi Wang, Chuangyu Jiang, Xiaodong Zhang, Yilong Zhang, Baoqiang Zhang, Huageng Luo
https://arxiv.org/abs/2506.04028

An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian
Triply periodic minimal surface (TPMS) structures, a type of lattice structure, have garnered significant attention due to their lightweight nature, controllability, and excellent mechanical properties. Voxel-based modeling is a widely used method for investigating the mechanical behavior of such lattice structures through finite element simulations. This study proposes a two-parameter voxel method that incorporates joint control of element size and minimum Jacobian (MJ). Numerical results indi…

This https://arxiv.org/abs/2501.08161 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Cosmological model with Gong-Zong Parametrization in $f(R,L_m)$ gravity
We present the cosmic expansion scenarios in the $f(R, L_m)$ gravity studied by using the dark energy equation of state (EoS) parameters. We proceed with the specific form of $f(R, L_m)$ gravity termed as $f(R, L_m)=\frac{R}{2}+L_{m}^α$. We derive the expansion rate in terms of the red-shift for two different forms of EoS parameter. In first model, EoS parameter varies inversely with the redshift and in second model, it involves the exponential form with the redshift. By using the Bayesian met…

External Attention Transformer: A Robust AI Model for Identifying Initial Eccentricity Signatures in Binary Black Hole Events in Simulated Advanced LIGO Data
Elahe Khalouei, Cristiano G. Sabiu, Hyung Mok Lee, A. Gopakumar
https://arxiv.org/abs/2506.03634

External Attention Transformer: A Robust AI Model for Identifying Initial Eccentricity Signatures in Binary Black Hole Events in Simulated Advanced LIGO Data
Initial orbital eccentricities of gravitational wave (GW) events associated with merging binary black holes (BBHs) should provide clues to their formation scenarios, mainly because various BBH formation channels predict distinct eccentricity distributions. However, searching for inspiral GWs from eccentric BBHs is computationally challenging due to sophisticated approaches to model such GW events. This ensures that Bayesian parameter estimation methods to characterize such events are computatio…

This https://arxiv.org/abs/2406.05820 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Thermodynamic phase description of charged 4D Gauss-Bonnet black holes in quantum regime
Glavan and Lin [Phys. Rev. Lett. 124, 081301 (2020)] ave argued for a 4D theory of Gauss-Bonnet (GB)gravity. This model predicts significant contributions of the GB coupling parameter $α$ to gravitational dynamics, while circumventing the Lovelock theorem and avoiding Ostrogradsky instability. As a powerful competitor to general relativity (GR), the model has been examined on various phenomenological grounds. Here, we employ a technique from information geometry to analyze the thermodynamic ph…