13 citations · 15 across the 2 of their papers we have counts for
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The First Two Years of FLEET: an Active Search for Superluminous Supernovae
Sebastian Gomez, Edo Berger, Peter K. Blanchard +5
In November 2019 we began operating FLEET (Finding Luminous and Exotic Extragalactic Transients), a machine learning algorithm designed to photometrically identify Type I superlumi…
Optical Observations and Modeling of the Superluminous Supernova 2018lfe
Yao Yin, Sebastian Gomez, Edo Berger +3
We present optical imaging and spectroscopy of SN\,2018lfe, which we classify as a Type I superluminous supernova (SLSN-I) at a redshift of with a peak absolute magnit…
Late-Time Radio and Millimeter Observations of Superluminous Supernovae and Long Gamma Ray Bursts: Implications for Obscured Star Formation, Central Engines, and Fast Radio Bursts
T. Eftekhari, B. Margalit, C. M. B. Omand +18
We present the largest and deepest late-time radio and millimeter survey to date of superluminous supernovae (SLSNe) and long duration gamma-ray bursts (LGRBs) to search for associ…
FLEET: A Redshift-Agnostic Machine Learning Pipeline to Rapidly Identify Hydrogen-Poor Superluminous Supernovae
Sebastian Gomez, Edo Berger, Peter K. Blanchard +4
Over the past decade wide-field optical time-domain surveys have increased the discovery rate of transients to the point that are being spectroscopically classified…