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This pipeline allows the user to download data from class payload of chandrayaan 2 and plot its data(7-16kev) in counts vs time

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CH2-CLASS-Pipeline

This pipeline allows the user to download data of class payload of chandrayaan 2 from ISRO's pradhan website and plot its data(7-16kev) in counts vs time

Last updated and checked for working: 29 Sep 2023

sample image: CLASS LC Oct 2023

I have created this pipeline as a part of the data analysis work I was doing wherein I was seeing correlation between Solar energetic protons (SEPs) from GOES data and CLASS data. This python notebook file just downloads CLASS data and plots its graph. The part for GOES is excluded from this repo. In case anyone is interested in that code, please contact me.



CH2-CLASS-Pipeline

Overview

This project analyzes data from the Chandrayaan-2 CLASS (Chandrayaan-2 Large Area Soft X-ray Spectrometer). The pipeline processes and visualizes lunar surface composition data from the CLASS instrument, enabling detailed spectral analysis.

Features

  • Data Loading: Downloads and processes CLASS datasets.
  • Spectral Analysis: Performs basic analysis to identify elemental compositions.
  • Visualization: Generates plots for easy interpretation of results.

Requirements

  • Python 3.x
  • Libraries: numpy, matplotlib, astropy, selenium

Contributing

Feel free to submit pull requests or open issues for bugs or feature requests.

License

MIT License

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This pipeline allows the user to download data from class payload of chandrayaan 2 and plot its data(7-16kev) in counts vs time

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