Published March 8, 2026
| Version v5
Anomalous diffusion in convergence to effective ergodicity
Authors/Creators
Description
v5
Fulldata release
(c) 2013, 2014, 2015, 2016, 2025, 2026
Süzen
GPL v3
Reproducing the data and analysis for the article:
Directories are zipped and larger data placed in the root due to Zenodo's limitation
Anomalous diffusion in convergence to effective ergodicity
Physica Scripta
10.1088/1402-4896/ae483e (2026)
arXiv: doi: 10.48550/arXiv.1606.08693 (2016-2026)
GitHub (code only): msuzen/research/ergodicity_anomalous_convergence
This is significantly advanced analysis with two different power-laws, one for distribution of the Gamma (Rate of effective ergodic convergence modified TM-metric) and time-displacement for the Kappa (Inverse of Gamma).
- Enhanced fitting diagnostics: Extensive automated and visual plots for each case.
- Clarification of Power-laws.
- Extensive plotting of temperature-field ranges.
- KS-statistics comparing Glauber/Metropolis dynamics.
- Finite-size scaling analysis. (v4): We now using a sigmoid-like ansatz. Notebook and plots updated.
For its content see the README.md file.
Reproducing Trajectories and Diagnostic plots
Datasets that would be generate with notebooks would be around~7GB. Here we provide all data.
- Trajectory files are
ising1Dmagnetisation.rds, ising1DrateErgodicity.rds, ising1DrateErgodicityFields.rds.The remaining datasets are powerlaw data frames. - Individual diagnostic plots are also not placed due to space consideration.
plots/powerLawKappa, plots/powerLawKappaFields/ and plots/magnetisation/.
Files
datasets.zip
Files
(8.0 GB)
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md5:50808fa26e783e65e6781f3f8bb2ffda
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34.5 MB | Preview Download |
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md5:505e78d265e950fc0d909565acd55291
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5.6 GB | Download |
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md5:467f8078a29b11bb325192ef3a51f30b
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1.8 GB | Download |
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md5:3870d917139f55e357d78f9d4e1cdb2c
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40.7 kB | Preview Download |
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md5:c6b53548c83f83cba26908e0e8a9528c
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558.2 MB | Preview Download |
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md5:2e7b17fe6718488cbdf2f3fe914f33ef
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4.9 kB | Preview Download |
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md5:0da059633381847f137c2e968e5d1188
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67.1 kB | Preview Download |
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md5:7fe5a1168810084d9061dd86101e54d2
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2.7 kB | Preview Download |
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md5:1915deaabac3d721fc694a37a76592ad
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44.0 kB | Preview Download |
Additional details
Related works
- Is supplement to
- Dataset: arXiv:1606.08693 (arXiv)
Software
- Repository URL
- https://github.com/msuzen/research
- Programming language
- R , C
- Development Status
- Active