Package designed to work with the data of Type I Superluminous Supernovae (SLSNe).
- Code: https://github.com/gmzsebastian/SLSNe
- Docs: https://slsne.readthedocs.io/
- License: MIT
The package can be installed via PyPI
pip install slsne
If you use slsne in your work, please cite Gomez et al. 2024:
@ARTICLE{2024arXiv240707946G,
author = {{Gomez}, Sebastian and {Nicholl}, Matt and {Berger}, Edo and {Blanchard}, Peter K. and {Villar}, V. Ashley and {Rest}, Sofia and {Hosseinzadeh}, Griffin and {Aamer}, Aysha and {Ajay}, Yukta and {Athukoralalage}, Wasundara and {Coulter}, David C. and {Eftekhari}, Tarraneh and {Fiore}, Achille and {Franz}, Noah and {Fox}, Ori and {Gagliano}, Alexander and {Hiramatsu}, Daichi and {Howell}, D. Andrew and {Hsu}, Brian and {Karmen}, Mitchell and {Siebert}, Matthew R. and {K{\"o}nyves-T{\'o}th}, R{\'e}ka and {Kumar}, Harsh and {McCully}, Curtis and {Pellegrino}, Craig and {Pierel}, Justin and {Rest}, Armin and {Wang}, Qinan},
title = "{The Type I Superluminous Supernova Catalog I: Light Curve Properties, Models, and Catalog Description}",
journal = {arXiv e-prints},
keywords = {Astrophysics - High Energy Astrophysical Phenomena},
year = 2024,
month = jul,
eid = {arXiv:2407.07946},
pages = {arXiv:2407.07946},
archivePrefix = {arXiv},
eprint = {2407.07946},
primaryClass = {astro-ph.HE},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024arXiv240707946G},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
We also advise to cite the original sources of data used in this work. We provide a script that prints out the bibtex entries for all these original sources of data, or an optional list of objects if the full sample was not used.
from slsne.utils import get_references
# Print all references
get_references()
# Print only some references
get_references(['2018lfe','2015bn'])