https://github.com/huangli712/acflow

A Full-Fledged Analytic Continuation Toolkit in Julia
https://github.com/huangli712/acflow

analytic-continuation-problem high-energy-physics many-body-physics maximum-entropy-method nevanlinna-analytical-continuation quantum-many-body-physics stochastic-analytic-continuation stochastic-optimization-method stochastic-pole-expansion

Last synced: 29 days ago
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A Full-Fledged Analytic Continuation Toolkit in Julia

• Host: GitHub
• URL: https://github.com/huangli712/acflow
• Owner: huangli712
• License: gpl-3.0
• Created: 2021-11-21T17:18:55.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-09-18T02:09:56.000Z (3 months ago)
• Last Synced: 2024-09-18T05:51:34.560Z (3 months ago)
• Topics: analytic-continuation-problem, high-energy-physics, many-body-physics, maximum-entropy-method, nevanlinna-analytical-continuation, quantum-many-body-physics, stochastic-analytic-continuation, stochastic-optimization-method, stochastic-pole-expansion
• Language: Julia
• Homepage: https://huangli712.github.io/projects/acflow/index.html
• Size: 11.1 MB
• Stars: 23
• Watchers: 5
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ACFlow

The `ACFlow` toolkit implements several state-of-the-art analytic continuation methods, including the maximum entropy method, the stochastic analytic continuation, the stochastic optimization method, the stochastic pole expansion, the Nevanlinna analytical continuation, and the barycentric rational function method. It can be used to convert the single-particle or two-particle correlation functions, which are generated by finite-temperature quantum many-body simulations, from imaginary time or imaginary frequency axis to real axis.

This toolkit is currently under developement. **PLEASE USE IT AT YOUR OWN RISK!**

## Version

v2.1.1-devel.241001

## License

GNU General Public License Version 3

## Documentation

See `acflow/docs`.