English

A Software Tool for "Gluing" Distributions

Data Analysis, Statistics and Probability 2022-07-19 v1 Computational Physics

Abstract

When performing Monte-Carlo simulations, distributions are sometimes determined only for sub-intervals of the desired total range. In such cases, a frequent problem is to connect, or glue, individual distributions to obtain the final result. Most prominent examples, where this is usually necessary, are certain large-deviation simulation techniques. However, there are multiple approaches to do this, depending on the data and individual requirements. Here, a software tool is presented, containing multiple algorithms, to aid with this task. An introduction to the available methods is presented together with a short tutorial using exemplary data.

Keywords

Cite

@article{arxiv.2207.08429,
  title  = {A Software Tool for "Gluing" Distributions},
  author = {Peter Werner},
  journal= {arXiv preprint arXiv:2207.08429},
  year   = {2022}
}

Comments

4 pages, 2 figures

R2 v1 2026-06-25T00:59:53.617Z