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arXiv · 2404.17515

An Online Framework for Fitting Fast Transient Lightcurves

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
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Abstract

The identification of extragalactic fast optical transients (eFOTs) as potential multi-messenger 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 lightcurve models such as kilonovae and $\gamma$-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.

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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. 2024-04-26. An Online Framework for Fitting Fast Transient Lightcurves. https://doi.org/10.1093/mnras%2Fstae1164

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