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Carlo.jl: A general framework for Monte Carlo simulations in Julia
by Lukas Weber
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Submission summary
| Authors (as registered SciPost users): | Lukas Weber |
| Submission information | |
|---|---|
| Preprint Link: | scipost_202412_00026v1 (pdf) |
| Code repository: | https://github.com/lukas-weber/Carlo.jl |
| Code version: | v0.2.3 |
| Code license: | MIT License |
| Date accepted: | Dec. 18, 2024 |
| Date submitted: | Dec. 13, 2024, 6:42 p.m. |
| Submitted by: | Lukas Weber |
| Submitted to: | SciPost Physics Codebases |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approach: | Computational |
Abstract
Carlo.jl is a Monte Carlo simulation framework written in Julia. It provides MPI-parallel scheduling (including parallel tempering), organized storage of input, checkpoint, and output files, as well as statistical postprocessing. With a minimalist design, it aims to aid the development of high-quality Monte Carlo codes, especially for demanding applications in condensed matter and statistical physics. This hands-on user guide shows how to implement a simple code with Carlo.jl, how to run an existing stochastic series expansion code based on Carlo.jl, and provides benchmarks to show its efficacy.
List of changes
- adds discussion about sign problem in the case of mixed-sign $D^x_i$
- correction of typos and style improvements
Published as SciPost Phys. Codebases 49 (2025) , SciPost Phys. Codebases 49-r0.2 (2025)