Work

NeuMC — A package for neural sampling for lattice field theories

Year: 2025

Type: software-paper

Abstract: We present the NeuMC software package aimed at facilitating the research on neural samplers in lattice field theories. Neural samplers based on normalizing flows are becoming increasingly popular in the context of Monte-Carlo simulations as they can effectively approximate target probability distributions, possibly alleviating some shortcomings of the Markov chain Monte-Carlo methods. Our package provides tools to create such samplers for two-dimensional field theories and is based on a popular Pytorch package.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102253

Authors: Piotr Białas, Piotr Korcyl, Tomasz Stebel, Dawid Zapolski

Institution: Jagiellonian University

Language: English

Topic: Markov Chains and Monte Carlo Methods

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funders: Narodowe Centrum Nauki, Uniwersytet Jagielloński w Krakowie, Infrastruktura PL-Grid, Academic Computer Centre Cyfronet, AGH University of Science and Technology