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https://github.com/huangli712/acflow

A full-fledged analytic continuation toolkit in Julia
https://github.com/huangli712/acflow

analytic-continuation-problem barycentric-rational-function-approximation 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

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A full-fledged analytic continuation toolkit in Julia

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# ACFlow

The `ACFlow` toolkit implements several state-of-the-art analytic continuation methods, including the maximum entropy method, the barycentric rational function approximation method, the Nevanlinna analytical continuation, the stochastic analytic continuation, the stochastic optimization method, and the stochastic pole expansion. 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

v2.1.5-devel.250605

## License

GNU General Public License Version 3

## Documentation

Source: See `acflow/docs`.

Online: https://huangli712.github.io/projects/acflow/index.html