autoScale.py - A program for automatic finite-size scaling analyses: A user's guide
O. Melchert

TL;DR
autoScale.py is a software tool that automates finite-size scaling analysis for simulated data, optimizing parameters to achieve data collapse and aiding researchers in analyzing critical phenomena.
Contribution
It introduces a general, automated approach for finite-size scaling analysis, including optimization of scaling parameters and practical guidance for users.
Findings
Automates finite-size scaling analysis process
Optimizes scaling parameters for data collapse
Provides user guidance and example workflows
Abstract
autoScale.py is a program that performs an automatic finite-size scaling analysis for given sets of simulated data. It implements a quite general scaling assumption and optimizes an initial set of scaling parameters that enforce a data collapse of the different data sets. The presented guide describes how the program works, it presents a detailed example and finally gives some hints on how to improve the results of a scaling analysis.
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Taxonomy
TopicsData Analysis with R · Advanced Clustering Algorithms Research · Theoretical and Computational Physics
