443 citations · 653 across the 8 of their papers we have counts for
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A Detection of Helium in the Bright Superluminous Supernova SN 2024rmj
Harsh Kumar, Edo Berger, Peter K. Blanchard +8
We present extensive ultraviolet (UV), optical, and near-infrared (NIR) photometric and spectroscopic observations of the nearby hydrogen-poor superluminous supernova (SLSN-I) SN20…
A Near-IR Search for Helium in the Superluminous Supernova SN 2024ahr
Harsh Kumar, Edo Berger, Peter K. Blanchard +13
We present a detailed study of SN 2024ahr, a hydrogen-poor superluminous supernova (SLSN-I), for which we determine a redshift of . SN 2024ahr has a peak absolute magnitu…
Superphot+: Realtime Fitting and Classification of Supernova Light Curves
Kaylee M. de Soto, Ashley Villar, Edo Berger +9
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric…
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…
Identifying Tidal Disruption Events with an Expansion of the FLEET Machine Learning Algorithm
Sebastian Gomez, V. Ashley Villar, Edo Berger +5
We present an expansion of FLEET, a machine learning algorithm optimized to select transients that are most likely to be tidal disruption events (TDEs). FLEET is based on a random…