This project studies the properties of 25 Type Ia supernovae siblings distributed across 10 host galaxies using near-infrared (NIR) photometry. The main goal is to investigate whether correlations exist between supernovae properties and their host galaxy characteristics, and to assess the potential of SNe siblings as tools for improving cosmological distance measurements.
- Ramon Sanfeliu Rúperez
- Tomás E. Müller Bravo
- Lluís Galbany
SNe_siblings/
├── Photometry/ # NIR + optical photometry data
├── Templates/ # Template images and subtraction pipeline
├── finding-sibilings/ # Target finding and sample selection
├── plots/ # Output figures
├── theory/ # Reference papers and theoretical background
├── Sne_fits.ipynb # Main analysis notebook
The Photometry/ folder contains one subdirectory per host galaxy (10 galaxies total). Inside each galaxy folder, there is one SNooPy (.snpy) file per supernova, containing the gathered NIR and optical photometry for that object.
The Templates/ folder contains template images for the supernovae that required template subtraction. The pipeline consists of two steps:
- Background subtraction (
background_subtraction.ipynb) — applies background subtraction to both the template and science images. - Template subtraction — uses ImageMatch to perform the image subtraction between background-subtracted template and science images.
Each supernova has its own subdirectory containing the raw templates, background-subtracted images, and configuration files.
- Python 3
- SNooPy
- ImageMatch
- Standard astronomical Python stack:
astropy,numpy,matplotlib
Note: FITS template images are stored using Git LFS. Make sure you have Git LFS installed before cloning:
git lfs install git clone https://github.com/SN-ICE/SNe_siblings.git