Finding Fast Transients in Real Time Using a Novel Light-curve Analysis Algorithm

Strausbaugh, Robert; Cucchiara, Antonino; Dow Jr., Michael; Webb, Sara; Zhang, Jielai; Goode, Simon; Cooke, Jeff

doi:10.3847/1538-3881/ac441b

Title: Finding Fast Transients in Real Time Using a Novel Light-curve Analysis Algorithm

Journal Article · 27 January 2022 · The Astronomical Journal

DOI: https://doi.org/10.3847/1538-3881/ac441b · OSTI ID:1983154

^[1]; Cucchiara, Antonino ^[2]; Dow Jr., Michael ^[1]; Webb, Sara ^[3];

^[4]; Goode, Simon ^[3]; Cooke, Jeff ^[3]

University of the Virgin Islands, St. Thomas, VI (United States)
University of the Virgin Islands, St. Thomas, VI (United States); College of Marin, CA (United States)
Swinburne University of Technology, Hawthorn, VIC (Australia)
Swinburne University of Technology, Hawthorn, VIC (Australia); ARC Centre of Excellence for Gravitational Wave Discovery (OzGrav), Hawthorn, VIC (Australia)

The current data acquisition rate of astronomical transient surveys and the promise for significantly higher rates in the next decade necessitate the development of novel approaches to analyze astronomical data sets and promptly detect objects of interest. The Deeper, Wider, Faster (DWF) program is a survey focused on the identification of fast-evolving transients, such as fast radio bursts, gamma-ray bursts, and supernova shock breakouts. It employs multifrequency simultaneous coverage of the same part of the sky over several orders of magnitude. Using the Dark Energy Camera mounted on the 4 m Blanco telescope, DWF captures a 20 s g-band exposure every minute, at a typical seeing of ~1'' and an air mass of ~1.5. These optical data are collected simultaneously with observations conducted over the entire electromagnetic spectrum—from radio to γ-rays—as well as cosmic-ray observations. In this paper, we present a novel real-time light-curve analysis algorithm, designed to detect transients in the DWF optical data; this algorithm functions independently from, or in conjunction with, image subtraction. We present a sample of fast transients detected by our algorithm, as well as a false-positive analysis. Our algorithm is customizable and can be tuned to be sensitive to transients evolving over different timescales and flux ranges.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Science (SC)

Grant/Contract Number:: SC0014664

OSTI ID:: 1983154

Journal Information:: The Astronomical Journal, Journal Name: The Astronomical Journal Journal Issue: 2 Vol. 163; ISSN 0004-6256

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

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