/KN_Inference

The program is a part of GW-EM pipeline for WFST

Primary LanguagePython

KN_Inference

A python package to implement Bayesian Inference with WFST(or other facilities) data.

Kilonovae

  • 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

  • Afterglow library in afterglowpy
  • Aspherical Cocoon: Cocoon emission presented in Piro et al.
  • Asym Cocoon: Axisymmetric cocoon with an opening angle