An online framework for fitting fast transient light curves

Publication date

2024-06-01

Authors

Barna, Tyler
Reed, Brandon
Andreoni, Igor
Coughlin, Michael W.
Dietrich, TimISNI 0000000518136325
Groom, Steven L.
du Laz, Theophile Jegou
Pang, Peter Tsun HoISNI 0000000512566404
Purdum, Josiah N.
Rusholme, Ben

Editors

Advisors

Supervisors

Document Type

Article
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License

cc_by

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.

Keywords

(transients:) black hole, (transients:) gamma-ray bursts, (transients:) neutron star mergers, methods: data analysis, neutron star mergers, software: development, Astronomy and Astrophysics, Space and Planetary Science

Citation

Barna, T, Reed, B, Andreoni, I, Coughlin, M W, Dietrich, T, Groom, S L, du Laz, T J, Pang, P T H, Purdum, J N & Rusholme, B 2024, 'An online framework for fitting fast transient light curves', Monthly Notices of the Royal Astronomical Society, vol. 531, no. 1, pp. 1084-1094. https://doi.org/10.1093/mnras/stae1164