[NEW SUBMISSION] FLEET

[gmzsebastian]

Citation information

"FLEET": {
    "tags": [
        "2020ApJ...904...74G",
        "2020zndo...4013965G"
    ],
    "logo": "img/FLEET.png",
    "language": "Python",
    "category": "Transients",
    "keywords": [
        "Transients",
        "Supernovae",
        "Machine Learning",
        "Tidal Disruption Events"
    ],
    "description": "A machine learning pipeline designed to predict the probability of transients to be either a superluminous supernova or a tidal disruption event.",
    "link": "https://github.com/gmzsebastian/FLEET/blob/master/README.md",
    "attribution_link": "https://github.com/gmzsebastian/FLEET",
    "zenodo_doi": "",
    "custom_citation": "",
    "dependencies": [
        "astropy",
        "matplotlib",
        "numpy",
        "python",
        "scipy",
        "astroquery"
    ]
}

BibTeX

@ARTICLE{2020ApJ...904...74G,
       author = {{Gomez}, Sebastian and {Berger}, Edo and {Blanchard}, Peter K. and {Hosseinzadeh}, Griffin and {Nicholl}, Matt and {Villar}, V. Ashley and {Yin}, Yao},
        title = "{FLEET: A Redshift-agnostic Machine Learning Pipeline to Rapidly Identify Hydrogen-poor Superluminous Supernovae}",
      journal = {\apj},
     keywords = {Supernovae, Core-collapse supernovae, Surveys, 1668, 304, 1671, Astrophysics - High Energy Astrophysical Phenomena},
         year = 2020,
        month = nov,
       volume = {904},
       number = {1},
          eid = {74},
        pages = {74},
          doi = {10.3847/1538-4357/abbf49},
archivePrefix = {arXiv},
       eprint = {2009.01853},
 primaryClass = {astro-ph.HE},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020ApJ...904...74G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@software{2020zndo...4013965G,
       author = {{Gomez}, Sebastian and {Berger}, Edo and {Blanchard}, Peter K. and {Hosseinzadeh}, Griffin and {Nicholl}, Matt and {Villar}, V. Ashley and {Yin}, Yao},
        title = "{FLEET Finding Luminous and Exotic Extragalactic Transients}",
         year = 2020,
        month = sep,
          eid = {10.5281/zenodo.4013965},
          doi = {10.5281/zenodo.4013965},
      version = {1.0.0},
    publisher = {Zenodo},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020zndo...4013965G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

[TomWagg]

Looks great, thanks @gmzsebastian. I've moved the zenodo DOI into that specific field so people can choose the right version if new versions come out as well :) It'll be on the site in just a moment.