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BSA

  • Openness:3 ★★★
  • Document quality:2 ★★☆

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.

Developer's Voice

harada

Kenji Harada (Graduate school of infomatics, Kyoto University, Japan)

History of BSA

We started this application for my own study of quantum critical phenomena.

Appeal points of BSA

If you only prepare text data file, you can easily use a new Bayesian scaling method in your study.

Future vision of BSA

We have a plan to add new features in this application: better estimation of confidencial intervals and new codes by python.

Developer’s hopes

We hope that Bayesian method and application is useful in your study of critical phenomena.

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