We wrote a research note for this tool here: arxiv: 2312.15585. This package can be used to fit double-peaked supernova light curves using the following shock cooling emission models:

1. PIRO 2015

2. Sapir-Waxman 2017

   A) For a blue supergiant (n = 3)

   B) For a red supergiant (n = 3/2)

3. PIRO 2020

This package utilizes pysynphot in order to create synthetic photometry generated according to the analytical models used. The user need to install pysynphot before installing shock_cooling_curve which includes downloading required pysynphot files and adding them to user path.

Detailed instructions for how to set up pysynphot on your system are provided here. Here is the truncated version adapted from pysynphot provided guidelines:

1. pip install pysynphot
2. Two sets of tar files, 1 and 2 need to be downloaded and store in some local directory.
3. The terminal source file (accessible by calling vi .zprofile on MAC) should be opened and edited to include the path to the pysynphot files set by export PYSYN_CDBS=/my/local/dir/trds/. Note that the variable should be PYSYN_CDBS.
4. Check if this is done correctly by opening python in your terminal and calling the following command:

import os
os.environ['PYSYN_CDBS']
>>> '/my/local/dir/trds/'

Once you have this setup, you should be good to install shock_cooling_curve!

Make sure you follow all the steps in Before Installation before pip installing this package. This package is installable via PyPI using pip:

pip install shock-cooling-curve

Any code changes, suggestions or improvements are welcome and can be submitted by making a PR! To develop this code, you can:

1. Fork this repository. It will appear in your own GitHub account as https://github.com/<your_username>/shock_cooling_curve.
2. Clone your forked shock_cooling_curve repository
3. cd into the folder shock_cooling_curve and pip install -e .

There are two files that have to be prepared before using this package.

1. The config file: A template for this file in provided under templates/config_template.ini. Simply make a copy of the file and fill out all the entries in the DEFAULT section. The BOUNDS section is optional.

2. The data file: This file containing the photometry data must be a csv. The column headers and template is under templates/phot_template.csv.

3. If you are unsure about the naming convention of filters when you include them in your photometry file, you can refer to filter_info.csv under templates.

Related Papers: shock_cooling_curve: A Python-Based Package for Extensive and Efficient Modeling of Shock Cooling Emission in Supernovae The Circumstellar Environments of Double-Peaked, Calcium-strong Supernovae 2021gno and 2021inl