An online framework for fitting fast transient light curves

Tyler Barna*, Brandon Reed, Igor Andreoni, Michael W. Coughlin, Tim Dietrich, Steven L. Groom, Theophile Jegou du Laz, Peter T.H. Pang, Josiah N. Purdum, Ben Rusholme

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The identification of extragalactic fast optical transients (eFOTs) as potential multimessenger sources is one of the main challenges in time-domain astronomy. However, recent developments have allowed for probes of rapidly evolving transients. With the increasing number of alert streams from optical time-domain surveys, the next paradigm is building technologies to rapidly identify the most interesting transients for follow-up. One effort to make this possible is the fitting of objects to a variety of eFOT light curve models such as kilonovae and γ -ray burst (GRB) afterglows. In this work, we describe a new framework designed to efficiently fit transients to light curve models and flag them for further follow-up. We describe the pipeline’s workflow and a handful of performance metrics, including the nominal sampling time for each model. We highlight as examples ZTF20abwysqy, the shortest long gamma-ray burst discovered to date, and ZTF21abotose, a core-collapse supernova initially identified as a potential kilonova candidate.

Original languageEnglish
Pages (from-to)1084-1094
Number of pages11
JournalMonthly Notices of the Royal Astronomical Society
Volume531
Issue number1
DOIs
Publication statusPublished - 1 Jun 2024

Keywords

  • (transients:) black hole
  • (transients:) gamma-ray bursts
  • (transients:) neutron star mergers
  • methods: data analysis
  • neutron star mergers
  • software: development

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