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In this proceeding, the xFitter project is presented. xFitter is an open-source package that provides a framework for the determination of the parton distribution and fragmentation functions for many different kinds of analyses in Quantum…

High Energy Physics - Phenomenology · Physics 2022-05-30 Francesco Giuli

This paper presents Deepchecks, a Python library for comprehensively validating machine learning models and data. Our goal is to provide an easy-to-use library comprising of many checks related to various types of issues, such as model…

BasisGen is a Python package for the automatic generation of bases of operators in effective field theories. It accepts any semisimple symmetry group and fields in any of its finite dimensional irreducible representations. It takes into…

High Energy Physics - Phenomenology · Physics 2019-05-01 Juan Carlos Criado

Summary: In functional imaging studies, accurately synchronizing the time course of experimental manipulations and stimulus presentations with resulting imaging data is crucial for analysis. Current software tools lack such functionality,…

Quantitative Methods · Quantitative Biology 2023-11-02 Anna Nadtochiy , Peter Luu , Scott E. Fraser , Thai V. Truong

This paper describes the design and implementation of Stingray, a library in Python built to perform time series analysis and related tasks on astronomical light curves. Its core functionality comprises a range of Fourier analysis…

Instrumentation and Methods for Astrophysics · Physics 2019-08-12 D. Huppenkothen , M. Bachetti , A. L. Stevens , S. Migliari , P. Balm , O. Hammad , U. M. Khan , H. Mishra , H. Rashid , S. Sharma , R. V. Blanco , E. M. Ribeiro

aeon is a unified Python 3 library for all machine learning tasks involving time series. The package contains modules for time series forecasting, classification, extrinsic regression and clustering, as well as a variety of utilities,…

Fractional calculus has become widely studied and applied to physical problems in recent years. As a result, many methods for the numerical computation of fractional derivatives and integrals have been defined. However, these algorithms are…

Mathematical Software · Computer Science 2019-12-12 Matthew Adams

PySEMTools is a Python-based library for post-processing simulation data produced with high-order hexahedral elements in the context of the spectral element method in computational fluid dynamics. It aims to minimize intermediate steps…

Computational Physics · Physics 2025-04-18 Adalberto Perez , Siavash Toosi , Tim Felle Olsen , Stefano Markidis , Philipp Schlatter

Medical image analysis plays a key role in precision medicine as it allows the clinicians to identify anatomical abnormalities and it is routinely used in clinical assessment. Data curation and pre-processing of medical images are critical…

Image and Video Processing · Electrical Eng. & Systems 2024-07-19 Sergey Primakov , Elizaveta Lavrova , Zohaib Salahuddin , Henry C Woodruff , Philippe Lambin

Gravitational microlensing is a powerful tool that can be used to find and measure the mass of isolated and dark compact objects. In many microlensing events, the lens, the source, or both may be a binary system. In this work, we introduce…

Solar and Stellar Astrophysics · Physics 2026-03-30 T. Dex Bhadra , J. R. Lu , Natasha S. Abrams , Andrew Scharf , Edward Broadberry , Casey Lam , Macy J. Huston

Advanced Hyperspectral Data Analysis Software (AVHYAS) plugin is a python3 based quantum GIS (QGIS) plugin designed to process and analyse hyperspectral (Hx) images. It is developed to guarantee full usage of present and future Hx airborne…

Image and Video Processing · Electrical Eng. & Systems 2021-06-25 Rosly Boy Lyngdoh , Anand S Sahadevan , Touseef Ahmad , Pradyuman Singh Rathore , Manoj Mishra , Praveen Kumar Gupta , Arundhati Misra

We present the first public release (v0.1) of the open-source GADGET Dataframe Library: gadfly. The aim of this package is to leverage the capabilities of the broader python scientific computing ecosystem by providing tools for analyzing…

Instrumentation and Methods for Astrophysics · Physics 2016-10-19 Jacob Hummel

Galaxy morphological classification is a fundamental aspect of galaxy formation and evolution studies. Various machine learning tools have been developed for automated pipeline analysis of large-scale surveys, enabling a fast search for…

Instrumentation and Methods for Astrophysics · Physics 2022-06-15 Yash Gondhalekar , Rafael S. de Souza , Ana L. Chies-Santos

PySINDy is a Python package for the discovery of governing dynamical systems models from data. In particular, PySINDy provides tools for applying the sparse identification of nonlinear dynamics (SINDy) (Brunton et al. 2016) approach to…

In today's modern wide-field galaxy surveys, there is the necessity for parametric surface brightness decomposition codes characterised by accuracy, small degree of user intervention, and high degree of parallelisation. We try to address…

Astrophysics of Galaxies · Physics 2023-03-03 Luca Tortorelli , Amata Mercurio

We present gradiend, an open-source Python package that operationalizes the GRADIEND method for learning feature directions from factual-counterfactual MLM and CLM gradients in language models. The package provides a unified workflow for…

Computation and Language · Computer Science 2026-03-02 Jonathan Drechsel , Steffen Herbold

In modern-day astronomy, near-infrared, optical, and ultraviolet spectroscopy are indispensable for studying a wide range of phenomena, from measuring black hole masses to analyzing chemical abundances in stellar atmospheres. However,…

Instrumentation and Methods for Astrophysics · Physics 2025-07-21 Raniere de Menezes , Francesco Massaro , Michela Negro , Claudia M. Raiteri , Harold Peña-Herazo , Jose A. Acosta-Pulido

A Python package for the analysis of dark-field X-ray microscopy (DFXM) and rocking curve imaging (RCI) data is presented. \textit{darfix} provides a set of data processing and visualization tools that can be either imported as library…

This paper introduces pyRDF2Vec, a Python software package that reimplements the well-known RDF2Vec algorithm along with several of its extensions. By making the algorithm available in the most popular data science language, and by bundling…

Machine Learning · Computer Science 2022-05-06 Gilles Vandewiele , Bram Steenwinckel , Terencio Agozzino , Femke Ongenae

Discrete convex functions are used in many areas, including operations research, discrete-event systems, game theory, and economics. The objective of this paper is to offer a survey on fundamental operations for various kinds of discrete…

Combinatorics · Mathematics 2019-10-04 Kazuo Murota