A python package to implement Bayesian Inference with WFST(or other facilities) data.
- Bu2018lm: 3-components model presented in Dietrich et al.
- Bu2022Ye: 3-components model presented in Bulla et al.
- Bu_nsbh: 3-components model of NSBH kilonovae, Anand et al.
- Ka2017: 1-component spherical model presented in Kasen et al.
- Ka2017_2comp: 2-components model extended from Ka2017
- Ka2017_2comp_axym: 2-components axisymmetric model extended from Ka2017
- Afterglow library in afterglowpy
- Aspherical Cocoon: Cocoon emission presented in Piro et al.
- Asym Cocoon: Axisymmetric cocoon with an opening angle