Estimating complete basis set extrapolation error through random walkWe propose a method of estimating the uncertainty of a result obtained through extrapolation to the complete basis set limit. The method is based on an ensemble of random walks which simulate all…Jakub Lang, Michał Przybytek, Michał Lesiuk·Mar 12, 2025SaveLearn
SPARKX: A Software Package for Analyzing Relativistic Kinematics in Collision ExperimentsSPARKX is an open-source Python package developed to analyze simulation data from heavy-ion collision experiments. By offering a comprehensive suite of tools, SPARKX simplifies data analysis…Nils Sass, Hendrik Roch, Niklas Götz et al.·Mar 12, 2025SaveLearn
Signatures of extreme events in the cumulative entropic spectrumIn this study, the cumulative effect of the empirical probability distribution of a random variable is identified as a factor that amplifies the occurrence of extreme events in datasets. To quantify…Ewa A. Drzazga-Szczȩśniak, Adam Z. Kaczmarek, Marta Kielak et al.·Mar 9, 2025SaveLearn
Machine Learning for Single-Ended Event Reconstruction in PROSPECT ExperimentThe Precision Reactor Oscillation and Spectrum Experiment, PROSPECT, was a segmented antineutrino detector that successfully operated at the High Flux Isotope Reactor in Oak Ridge, TN, during its…M. Andriamirado, A. B. Balantekin, C. D. Bass et al.·Mar 9, 2025SaveLearn
A skeletonization based image segmentation algorithm to isolate slender regions in 3D microstructuresThe work proposes an image segmentation algorithm that isolates slender regions in three-dimensional microstructures. Characterizing slender regions in material microstructures is an extremely…Vinit Vijay Deshpande, Romana Piat·Mar 7, 2025SaveLearn
U-Net 3+ for Anomalous Diffusion Analysis enhanced with Mixture Estimates (U-AnD-ME) in particle-tracking dataBiophysical processes within living systems rely on encounters and interactions between molecules in complex environments such as cells. They are often described by anomalous diffusion transport.…Solomon Asghar, Ran Ni, Giorgio Volpe·Feb 26, 2025SaveLearn
Recurrence threshold selection for obtaining robust recurrence characteristics in different embedding dimensionsThe appropriate selection of recurrence thresholds is a key problem in applications of recurrence quantification analysis and related methods across disciplines. Here, we discuss the distribution of…K. Hauke Kraemer, Reik V. Donner, Jobst Heitzig et al.·Feb 18, 2025SaveLearn
On the dynamical evolution of randomness Part A: Random experiments as dynamical systemsIn this work, Bernoulli's Law of Large Numbers, also known as the Golden theorem, has been extended to study the relations between empirical probability and empirical randomness of an otherwise…Allen Lobo, Saravanan Arumugam·Feb 17, 2025SaveLearn
Impact of Tracking Resolutions on φ-Meson Spin Alignment MeasurementMeasurements of global spin alignment of vector mesons in relativistic heavy-ion collisions can provide unique insights into spin-orbit interactions and vector meson dynamics in the Quark-Gluon…C. W. Robertson, Yicheng Feng, Fuqiang Wang·Feb 10, 2025SaveLearn
Complex network approaches to nonlinear time series analysisIn the last decade, there has been a growing body of literature addressing the utilization of complex network methods for the characterization of dynamical systems based on time series. While both…Yong Zou, Reik V. Donner, Norbert Marwan et al.·Jan 30, 2025SaveLearn
Dynamic Metadata Schemes in the Neutron and Photon Science Communities: A Case Study of X-Ray Photon Correlation SpectroscopyMetadata is one of the most important aspects for advancing data management practices within all research communities. Definitions and schemes of metadata are inter alia of particular significance in…Amir Tosson, Mohammad Reza, Christian Gutt·Jan 28, 2025SaveLearn
Linear scaling causal discovery from high-dimensional time series by dynamical community detectionUnderstanding which parts of a dynamical system cause each other is extremely relevant in fundamental and applied sciences. However, inferring causal links from observational data, namely without…Matteo Allione, Vittorio Del Tatto, Alessandro Laio·Jan 18, 2025SaveLearn
Orthogonal projections of hypercubesProjections of hypercubes have been applied to visualize high-dimensional binary state spaces in various scientific fields. Conventional methods for projecting hypercubes, however, face practical…Yoshiaki Horiike, Shin Fujishiro·Jan 17, 2025SaveLearn
Empirical Growing Networks vs Minimal Models: Evidence and Challenges from Software Heritage and APS Citation DatasetsWe investigate the evolution rules and degree distribution properties of the Software Heritage dataset, a large-scale growing network linking software source-code versions from open-source…Guillaume Rousseau·Jan 17, 2025SaveLearn
Reconstructing Time-of-Flight Detector Values of Angular Streaking Using Machine LearningAngular streaking experiments enable for experimentation in the attosecond regions. However, the deployed Time-of-flight detectors are susceptible to noise and failure. These shortcomings make the…David Meier, Wolfram Helml, Thorsten Otto et al.·Jan 15, 2025SaveLearn
Calibration of Scanning Thermal Microscope using Optimal Estimation of Function Parameters by Iterated LinearizationScanning thermal microscopy is a unique tool for the study of thermal properties at the nanoscale. However, calibration of the method is a crucial problem. When analyzing local thermal conductivity,…Anna Charvátová Campbell, Petr Klapetek, Radek Šlesinger et al.·Jan 15, 2025SaveLearn
Disentangling sources of multifractality in time seriesThis contribution addresses the question commonly asked in scientific literature about the sources of multifractality in time series. Two primary sources are typically considered. These are temporal…Robert Kluszczyński, Stanisław Drożdż, Jarosław Kwapień et al.·Jan 15, 2025SaveLearn
DMCpy: A powder and single crystal neutron diffraction software for DMCThe recently upgraded DMC diffractometer at SINQ, equipped with a state-of-the-art 2D He detector, enables high-resolution neutron diffraction experiments optimized for both powder and single-crystal…Jakob Lass, Samuel Harrison Moody, Øystein Slagtern Fjellvåg·Jan 15, 2025SaveLearn
Bayesian estimation of coupling strength and heterogeneity in a coupled oscillator model from macroscopic quantitiesVarious macroscopic oscillations, such as the heartbeat and the flashing of fireflies, are created by synchronizing oscillatory units (oscillators). To elucidate the mechanism of synchronization,…Yusuke Kato, Shuhei Kashiwamura, Emiri Watanabe et al.·Jan 14, 2025SaveLearn
High-Performance Data Format for Scientific Data Storage and AnalysisIn this article, we present the High-Performance Output (HiPO) data format developed at Jefferson Laboratory for storing and analyzing data from Nuclear Physics experiments. The format was designed…Gagik Gavalian·Jan 13, 2025SaveLearn
Automatizing the search for mass resonances using BumpNetThe search for resonant mass bumps in invariant-mass distributions remains a cornerstone strategy for uncovering Beyond the Standard Model (BSM) physics at the Large Hadron Collider (LHC).…Jean-Francois Arguin, Georges Azuelos, Émile Baril et al.·Jan 9, 2025SaveLearn
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation ModelsThis paper explores ideas and provides a potential roadmap for the development and evaluation of physics-specific large-scale AI models, which we call Large Physics Models (LPMs). These models, based…Kristian G. Barman, Sascha Caron, Emily Sullivan et al.·Jan 9, 2025SaveLearn
Sparse identification of evolution equations via Bayesian model selectionThe quantitative formulation of evolution equations is the backbone for prediction, control, and understanding of dynamical systems across diverse scientific fields. Besides deriving differential…Tim W. Kroll, Oliver Kamps·Jan 1, 2025SaveLearn
Transient and Periodic Steady-State Characteristics of the Local Heat Transfer Measurement by Thermal Perturbation with Gaussian Power Density Distribution & A Supplementary Perspective with CommentsThe local heat transfer coefficient measurement with temperature oscillation induced by periodic thermal perturbation - usually via a Gaussian laser beam, was investigated for the impact of the…Zhongyuan Shi, Tao Dong, Zhaochu Yang·Dec 25, 2024SaveLearn
New method of image processing via statistical analysis for application in intelligent systemsImage processing has always been a topic of significant importance to society. Recently, this field has gained considerable prominence due to the development of intelligent systems. In this work, we…Monalisa Cavalcante, José Araújo, José Holanda·Dec 24, 2024SaveLearn