Understand
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.
Built on
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Similar
S. M. Bhattacharjee and F. Seno, A measure of data collapse for scaling , J. Phys. A: Math. Gen. 34
2001
Cited alongside, same era.
J. Houdayer and A. K. Hartmann, Low-temperature behavior of two-dimensional Gaussian Ising spin glasses , Phys. Rev. B
2004
Cited alongside, same era.
S. Wenzel, E. Bittner, W. Janke, and A. M. J. Schakel, Percolation of vortices in the 3D Abelian lattice Higgs model , Nucl. Phys. B 793
2008
Cited alongside, same era.
F. Winter, W. Janke, and A. M. J. Schakel, Geometric properties of the three-dimensional Ising and XY models , Phys. Rev. E 77
2008
Cited alongside, same era.
The source code of autoScale.py
Cited in the paper.
Python is a high-level general-purpose programming language that can be applied to many different classes of problems, see http://www.python.org/
Cited in the paper.
Cited in the paper.
Gnuplot is a command-line driven interactive data and function plotting utility, see http://www.gnuplot.info
Cited in the paper.
Then
O. Melchert and A. K. Hartmann, Negative-weight percolation , New. J. Phys. 10
2008
Later among the works it cites.
L. Apolo, O. Melchert, and A. K. Hartmann, Phase transitions in diluted negative-weight percolation models , Phys. Rev. E 79
2009
Closest in time.
O. Melchert and A. K. Hartmann, Scaling behavior of domain walls at the T = 0 T=0 ferromagnet to spin-glass transition , Phys. Rev. B 79
2009
Closest in time.
A. K. Hartmann, Practical Guide to Computer Simulations , World Scientific, Singapore, 2009
2009
Closest in time.
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