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Analytical formulas for some useful three-particles integrals are derived. Many of these integrals include Bessel and/or trigonometric functions of one and two interparticle (relative) coordinates $r_{32}, r_{31}$ and $r_{21}$. The formulas…

Mathematical Physics · Physics 2013-12-24 Alexei M. Frolov , David M. Wardlaw

The evaluation of higher-loop Feynman integrals is at the core of the quest to reduce the uncertainty of theoretical predictions and match experimental data from the LHC and future colliders. pySecDec is a program to evaluate such integrals…

High Energy Physics - Phenomenology · Physics 2022-03-01 Vitaly Magerya

pSecDec is a computer tool to evaluate Feynman integrals and their weighted sums (amplitudes) using the method of sector decomposition and numerical integration. The new release of pySecDec version 1.6 comes with a significant performance…

High Energy Physics - Phenomenology · Physics 2023-11-02 Vitaly Magerya

The inverse Langevin function is a fundamental part of the statistical chain models used to describe the behavior of polymeric-like materials, appearing also in other fields such as magnetism, molecular dynamics and even biomechanics. In…

Computational Physics · Physics 2020-07-15 José María Benitez , Francisco Javier Montáns

POLEVAL provides a software toolbox for collaborative, persistent and reproducible analysis of XPS experiments. It allows to treat, analyse and visualise the results of an extended experimental campaign in a single python notebook in a…

Materials Science · Physics 2025-05-21 Robin Yoël Engel , Patrick Lömker

We present pySecDec, a new version of the program SecDec, which performs the factorisation of dimensionally regulated poles in parametric integrals, and the subsequent numerical evaluation of the finite coefficients. The algebraic part of…

High Energy Physics - Phenomenology · Physics 2017-11-28 S. Borowka , G. Heinrich , S. Jahn , S. P. Jones , M. Kerner , J. Schlenk , T. Zirke

Pyserini is an easy-to-use Python toolkit that supports replicable IR research by providing effective first-stage retrieval in a multi-stage ranking architecture. Our toolkit is self-contained as a standard Python package and comes with…

Information Retrieval · Computer Science 2021-02-22 Jimmy Lin , Xueguang Ma , Sheng-Chieh Lin , Jheng-Hong Yang , Ronak Pradeep , Rodrigo Nogueira

Determining the best partition for a dataset can be a challenging task because of 1) the lack of a priori information within an unsupervised learning framework; and 2) the absence of a unique clustering validation approach to evaluate…

Machine Learning · Computer Science 2021-04-06 Isotta Landi , Veronica Mandelli , Michael V. Lombardo

Several techniques were proposed to model the Piecewise linear (PWL) functions, including convex combination, incremental and multiple choice methods. Although the incremental method was proved to be very efficient, the attention of the…

Optimization and Control · Mathematics 2018-02-13 Mutaz Tuffaha , Jan Tommy Gravdahl

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference for black-box computational models (Acerbi, 2018, 2020). VBMC is an approximate inference method designed for…

Machine Learning · Statistics 2023-06-29 Bobby Huggins , Chengkun Li , Marlon Tobaben , Mikko J. Aarnos , Luigi Acerbi

In the rapidly evolving software development landscape, Python stands out for its simplicity, versatility, and extensive ecosystem. Python packages, as units of organization, reusability, and distribution, have become a pressing concern,…

Software Engineering · Computer Science 2025-09-05 Haowei Quan , Junjie Wang , Xinzhe Li , Terry Yue Zhuo , Xiao Chen , Xiaoning Du

BayesPy is an open-source Python software package for performing variational Bayesian inference. It is based on the variational message passing framework and supports conjugate exponential family models. By removing the tedious task of…

Machine Learning · Statistics 2015-06-08 Jaakko Luttinen

Bessel functions are critical in scientific computing for applications such as machine learning, protein structure modeling, and robotics. However, currently, available routines lack precision or fail for certain input ranges, such as when…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-16 Andreas Plesner , Hans Henrik Brandenborg Sørensen , Søren Hauberg

Green's function of the problem describing steady forward motion of bodies in an open ocean in the framework of the linear surface wave theory (the function is often referred to as Kelvin's wave source potential) is considered. Methods for…

Numerical Analysis · Mathematics 2014-11-04 Oleg V. Motygin

imbalanced-ensemble, abbreviated as imbens, is an open-source Python toolbox for leveraging the power of ensemble learning to address the class imbalance problem. It provides standard implementations of popular ensemble imbalanced learning…

Machine Learning · Computer Science 2023-02-24 Zhining Liu , Jian Kang , Hanghang Tong , Yi Chang

Context. Inferring spectral parameters from X-ray data is one of the cornerstones of high-energy astrophysics, and is achieved using software stacks that have been developed over the last twenty years and more. However, as models get more…

Instrumentation and Methods for Astrophysics · Physics 2024-10-23 Simon Dupourqué , Didier Barret , Camille M. Diez , Sébastien Guillot , Erwan Quintin

We discuss the systematic evaluation of 3-loop vacuum integrals with arbitrary masses. Using integration by parts, the general integral of this type can be reduced algebraically to a few basis integrals. We define a set of modified finite…

High Energy Physics - Phenomenology · Physics 2021-08-10 Stephen P. Martin , David G. Robertson

A special purpose solver, based on the Magnus expansion, well suited for the integration of the linear three neutrino oscillations equations in matter is proposed. The computations are speeded up to two orders of magnitude with respect to a…

Computational Physics · Physics 2017-01-23 Fernando Casas , Jose Angel Oteo , Juan Carlos D'Olivo

Highly oscillatory integrals, such as those involving Bessel functions, are best evaluated analytically as much as possible, as numerical errors can be difficult to control. We investigate indefinite integrals involving monomials in $x$…

Classical Analysis and ODEs · Mathematics 2017-03-21 Jolyon K. Bloomfield , Stephen H. P. Face , Zander Moss

The program ftint is introduced which numerically evaluates dimensionally regulated integrals as they occur in the perturbative approach to the gradient-flow formalism in quantum field theory. It relies on sector decomposition in order to…

High Energy Physics - Phenomenology · Physics 2024-10-10 Robert V. Harlander , Theodoros Nellopoulos , Anton Olsson , Marius Wesle