2009/10/28 by O. Melchert, Oliver Melchert, Melchert, O. · 6 citations
Computer Science · Physics and Astronomy · #Advanced Clustering Algorithms Research #Computational Physics (physics.comp-ph) #Data Analysis #Data Analysis with R #FOS: Physical sciences #Statistics and Probability (physics.data-an) #Theoretical and Computational Physics #physics.comp-ph #physics.data-an
paper · pdf · doi:10.48550/arxiv.0910.5403
12 pages, 1 figure; contains supplementary archive
arxiv created 2009/10/28 · openalex publication_date 2009/10/28 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.