Search Results for author: Peter K. Blanchard

Found 1 papers, 0 papers with code

FLEET: A Redshift-Agnostic Machine Learning Pipeline to Rapidly Identify Hydrogen-Poor Superluminous Supernovae

no code implementations3 Sep 2020 Sebastian Gomez, Edo Berger, Peter K. Blanchard, Griffin Hosseinzadeh, Matt Nicholl, V. Ashley Villar, Yao Yin

This classifier can achieve a maximum purity of about 85\% (with 20\% completeness) when observing a selection of SLSN-I candidates.

High Energy Astrophysical Phenomena

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