Multi-wavelength GRB Classifier | |
This Multi-wavelength GRB Classifier physically classify Gamma Ray Bursts (GRBs) as Type II (massive star core collapse) and Type I GRB (compact star merger) based on multi-wavelength criteria, with Naive Bayes method ultilized. Both the prompt emission information and host galaxy information are taken into consideration. This method is based on Li, Zhang & Yuan, 2020, The Astrophysical Journal, Volume 897, page 154, also available at arXiv:2005.13663. | |
Input parameter (keep the unknown parameters blank) |
Input parameters:
Output:
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Program Version HistoryV1.0: 2020 May. Original program version corresponding to submitted version of Li, Zhang and Yuan (2020).
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DownloadDownload the python code. Run python grb_cls.py to see the results in data_out.csv.Contact Ye Li (liye_kiaa@pku.edu.cn/yeli@pmo.ac.cn) or Bing Zhang (zhang@physics.unlv.edu) if any problem is encountered. |