This is still a beta version, changes in the user interface cannot be excluded currently. The main features have been tested extensively already and seem to work well. However, there might still be some minor issues.
Any questions, suggestions and bug reports will be received gratefully. (Mail to: josef dot kaufmann at tuwien dot ac dot at)
Analytic continuation of Matsubara Green's functions is a difficult task, for which there exists a large variety of methods and codes. This package does, for now, not contain any new method, but its concept differs from most other codes: I do not provide compiled program that is able to do many different tasks, but instead a small Python library containing the necessary classes and functions. Based on this, the user is encouraged to write their own scripts, fitting their needs.
Currently, the Pade approximation and the Maximum Entropy method (classic and Bryan) are implemented.
- ana_cont contains the main code files.
- doc will contain a detailed description of the implemented formulas and code structure.
- scripts contains some simple examples how the library may be used. (More sophisticated
- examples will be added later.) Also there are some scripts to generate test data.
- install.sh is a simple installation script that compiles the modules that are written in
- C and Cython, and it appends the directory to the PYTHONPATH environment variable.
- Python
- numpy
- scipy
- Cython (only for Pade)