COSMIC

COSMIC (Cluster Optical Search using Machine Intelligence in Catalogs) is a galaxy cluster finding algorithm that utilizes machine learning techniques.

Toy Model

This project selects a 1 square degree region from the SDSS for testing the code.

Directory Structure

• data/: Contains test data and background galaxy data.
• model/: Contains the XGBoost model for BCG classification and the ResNet model for richness estimation.
• output/: Stores program output data, including candidate BCGs in BCG_cand.fits, detected clusters in cluster.fits, and other necessary data.
• source/: Contains the source code.

Dependencies

The project requires the following Python packages:

• astropy==4.3.1
• functions==0.7.0
• h5py==3.7.0
• matplotlib==3.5.3
• numpy==1.21.6
• pandas==1.2.0
• scikit-learn==0.24.2
• scipy==1.6.2
• torch==1.7.1+cu110
• torchvision==0.8.2+cu110
• xgboost==1.4.2

Note: Ensure you are using a Python environment compatible with these package versions. You can install these dependencies using the provided requirements.txt file:

pip install -r requirements.txt

Running the Program

To execute the program, run:

cd source
python3 run.py