This is not original CIGALE repository. If you are looking for the original one: https://gitlab.lam.fr/cigale/cigale/
Here, I add stochastic starformation history in two forms:
- Usual attempt, with t student distribution for limiting the SFR change between each step.
- Iyer+24 attempt, with 5 parameters with physical motivation used for regulation.
I have tested this implementation with my paper Lisiecki+, submitted. If you use this repository, please cite my paper, thanks!
The idea behind the repository is simple. You have sucessfully installed CIGALE v2022.1 or CIGALE v2025.0 (this one was not extensively tested, please report any bugs/problems). Download my repo and find the corresponding version. Merge directories.
IMPORTANT note: unfortunatelly, the installation is not so easy while working with pip-installed version of CIGALE. Unfortunatelly, if you have such version, probably you have to rebuild the whole thing with my files within source file.