SuryaDrishti

Solar Flare Catalogue from 3 Years of Chandrayaan-2 XSM Observations. If you use the catalogue or this pipeline, please cite Valluvan et al. 2024 (https://doi.org/10.1007/s11207-023-02244-0).

Copyright (C) 2024 Aravind Bharathi Valluvan, Ashwin Goyal and Devansh Jain.

A daily updated version of the catalogue will soon be available on the Indian Space Science Data Centre (ISSDC) Pradan website (https://pradan.issdc.gov.in/ch2/).

Dependencies

Python libraries:

1. numpy
2. matplotlib
3. scipy
4. astropy
5. pandas
6. lmfit

Installation Procedure

1. Clone this repository

git clone https://github.com/DEVANSH-DVJ/SuryaDrishti.git

2. Download XSM L2 .lc data files from the PRADAN website. Unzip them and place them under a /data/Lightcurves/ folder.
3. Define data path in utils.py if they are not under /data/Lightcurves/.
4. Set up for bulk execution using logmain.py
   • n_proc: number of processors to be used
   • glob = Config(): Config variables (refer to sd.py)
   • gen argument should be set to True
   • start_date: starting date of files
   • numdays: number of days to process from start_date
5. Run

python logmain.py <output_root>

where output root is the name of the folder /data/Runs/<output_root>

Repository Structure

• /catalog: Contains full solar flare catalogs discussed in Valluvan et al 2023. Can be generated by running logmain.py
• /data/Runs: Output files from logmain.py can be found here
• /scripts: Contains the scripts used to preprocess data
• fit.py: Curve-fitting codes
• logmain.py: Script to process lightcurves in parallel and generate a log file.
• main.py: Script to process lightcurves in parallel. More efficient than logmain.py but does not generate a log file.
• plot.py: Plotting functions used in analysis
• sd.py: All lightcurve functions. main.py and logmain.py calls the functions in this file.
• utils.py: General-purpose functions