The First Two Years of FLEET: an Active Search for Superluminous Supernovae

Abstract

In November 2019 we began operating FLEET (Finding Luminous and Exotic Extragalactic Transients), a machine learning algorithm designed to photometrically identify Type I superluminous supernovae (SLSNe) in transient alert streams. Using FLEET, we spectroscopically classified 21 of the 50 SLSNe identified worldwide between November 2019 and January 2022. Based on our original algorithm, we anticipated that FLEET would achieve a purity of about 50\% for transients with a probability of being a SLSN, \pslsn$>0.5$; the true on-sky purity we obtained is closer to 80\%. Similarly, we anticipated FLEET could reach a completeness of about 30\%, and we indeed measure an upper limit on the completeness of $\approx 33$\%. Here, we present FLEET 2.0, an updated version of FLEET trained on 4,780 transients (almost 3 times more than in FLEET 1.0). FLEET 2.0 has a similar predicted purity to FLEET 1.0, but outperforms FLEET 1.0 in terms of completeness, which is now closer to $\approx 40$\% for transients with \pslsn$>0.5$. Additionally, we explore possible systematics that might arise from the use of FLEET for target selection. We find that the population of SLSNe recovered by FLEET is mostly indistinguishable from the overall SLSN population, in terms of physical and most observational parameters. We provide FLEET as an open source package on GitHub https://github.com/gmzsebastian/FLEET

10 pages, 3 figures, submitted to ApJ

References in corpus (11)

• The NumPy array: a structure for efficient numerical computation
• SN 2006gy: An extremely luminous supernova in the galaxy NGC 1260
• The magnetar model for Type I superluminous supernovae I: Bayesian analysis of the full multicolour light curve sample with MOSFiT
• Binospec: A Wide-field Imaging Spectrograph for the MMT
• The hydrogen-poor superluminous supernova iPTF13ajg and its host galaxy in absorption and emission
• Photometric Redshifts with the LSST: Evaluating Survey Observing Strategies
• The Hydrogen-Poor Superluminous Supernovae from the Zwicky Transient Facility Phase-I Survey: I. Light Curves and Measurements
• Bumpy Declining Light Curves Are Common in Hydrogen-poor Superluminous Supernovae
• Luminous Supernovae: Unveiling a Population Between Superluminous and Normal Core-collapse Supernovae
• Photospheric Velocity Gradients and Ejecta Masses of Hydrogen-poor Superluminous Supernovae -- Proxies for Distinguishing between Fast and Slow Events
• Optical Observations and Modeling of the Superluminous Supernova 2018lfe

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