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******************** Welcome to CatFit! ******************** CatFit is a python project developed by Dr. Lingjun Wang (ORCID: 0000-0002-8352-1359) and Hai Yu (ORCID: 0000-0002-1840-8835) to fit the observed bolometric and multiband light curves of supernovae and other similar transients. The models are semi-analytical models based on Arnett (1980, 1982), Arnett & Fu (1989), and Chatzopoulos et al. (2012). The code was developed during the writing of the following papers: https://ui.adsabs.harvard.edu/abs/2016ApJ...821...22W/abstract https://ui.adsabs.harvard.edu/abs/2017ApJ...837..128W/abstract https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.1110W/abstract and Wang et al. (2022). 1. Software requirements ------------------------- The user needs to have Python 3.4 or above installed in a Mac, Windows or Linux machine. The following python packages are utilized in CatFit: 1) scipy, 2) numpy, 3) emcee, 4) matplotlib, 5) astropy, 6) multiprocessing. These can be easily installed either via the Anaconda python framework or one of the package managers available for Macosx and Linux platforms (e.g. Homebrew, Macports, Fink). 2. Running CatFit ------------------------- CatFit is designed to be user-friendly. To run CatFit simply type the following command in a terminal window: > python multi-interaction.py <demo.conf> The configuration file is used to specify the fitting parameters. It was originally designed for the mcmc code (Wang et al. 2017). The program produces a file named "output.txt" that is self-explaining for every column of the data. 3. Troubleshooting ------------------- The users are welcome to submit bug reports/errors by E-mail to: wanglingjun@ihep.ac.cn. 4. Repository distribution ---------------------------------------- CatFit can be obtained through a git repository by typing: > git clone https://github.com/Lingjun-Wang/CatFit If you make use of CatFit for your publications please reference it appropriately. 5. Copyright and disclaimer notice ----------------------------------- CatFit, (copyright 2016-2022) is property of Drs. Lingjun Wang, Hai Yu and National Astronomical Observatories, Institute of High Energy Physics of Chinese Academy of Sciences, and Nanjing University.
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