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BSA

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Fitting data to a scaling law of critical phenomena, we automatically estimate critical point and indices. Since Bayesian method is flexible, we can use all data in a critical region.

Information
Last Update:2021/03/05

Official site

http://kenjiharada.github.io/BSA/

License

GPL v3
Availability C++, GSL(GNU Scientific Library)
Core Developers Kenji Harada (Graduate school of informatics, Kyoto University, Japan)
Target substance/model Critical phenomena
Physical quantities that can be computed Critical indices, Scaling function
Methodology Scaling analysis, Bayesian inference
Related keywords
Document
Other The application’s greatest appeal: Automated scaling analysis of critical phenomena
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