This project aims to develop a robust reduction pipeline for reducing the images taken by the M2FS telescope in Las Campanas, Chile.
The current codebase fits a continuum to each spectrum in the image while attempting to remove the overlapping regions. The main.py
file is executable and is the program's main point of entry. Please run python main.py to get started.
This project is written in Python 3.6.7.
It is recommended to use a virtual environment. The required libraries are outlined in the requirements.txt. Run pip install -r requirements.txt.
As mentioned the main.py is the primary entry point. Below is the project workflow:
To run, run python main.py to run on the default file specified in main.py.
It also takes the following command line arguments: -l and -s.
python main.py -l will loop through every file in the directory specified in the directory variable in main.py.
By default, the program will save a pickled version of the fitted file and an svg image. Upon a subsequent run, it will look for the saved pickled file and attempt to re-plot. If the -s flag is enabled, then it will also save upon re-plotting and overwrite the original .svg file.
The current way to save files is via the Python pickling tool. This, however, poses a substantial security vulnerability as cited in: https://nvd.nist.gov/vuln/detail/CVE-2019-12760. This is not a concern if it accepts trusted pickle files, but should be of serious concern if this code is used over a network to accept unknown pickle files, which could lead to arbitrary code execution.
Skanda Kaashyap, Carnegie Mellon University