autoScale.py - A program for automatic finite-size scaling analyses: A users guide

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.

💡 Research Summary

The paper introduces autoScale.py, a Python‑based tool that automates finite‑size scaling (FSS) analysis for simulation data sets. Finite‑size scaling is a cornerstone technique in statistical physics and critical phenomena, where an observable (O(t,L)) measured at a control parameter (t) (e.g., reduced temperature) and system size (L) is assumed to obey a scaling form
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