An Online Framework for Fitting Fast Transient Lightcurves
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 optic...
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| creator | Barna, Tyler Reed, Brandon Andreoni, Igor Coughlin, Michael W Dietrich, Tim Groom, Steven L Laz, Theophile Jegou du Pang, Peter T. H Purdum, Josiah N Rusholme, Ben |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2404.17515 |
| format | Article |
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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
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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.</description><subject>Physics - Cosmology and Nongalactic Astrophysics</subject><subject>Physics - High Energy Astrophysical Phenomena</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj71OwzAURr0woMIDMOEXSPDftWO2qiKAFKlL9sh2rotF6yLHFHh7oDCd4ZOOvkPIDWet6gDYnSuf6dQKxVTLDXC4JPfrTLd5nzLSvrgDfhzLK43HQvtUa8o72rul0rG4vCTMlQ5p91LDeznhckUuotsveP3PFRn7h3Hz1Azbx-fNemicNtDY4GUwNrLYMa2C8NZbBbMJYMEKBT52Ag0yLvFn09orwWd0njk1a8mUXJHbP-35_PRW0sGVr-k3YjpHyG_5tEEp</recordid><startdate>20240426</startdate><enddate>20240426</enddate><creator>Barna, Tyler</creator><creator>Reed, Brandon</creator><creator>Andreoni, Igor</creator><creator>Coughlin, Michael W</creator><creator>Dietrich, Tim</creator><creator>Groom, Steven L</creator><creator>Laz, Theophile Jegou du</creator><creator>Pang, Peter T. H</creator><creator>Purdum, Josiah N</creator><creator>Rusholme, Ben</creator><scope>GOX</scope></search><sort><creationdate>20240426</creationdate><title>An Online Framework for Fitting Fast Transient Lightcurves</title><author>Barna, Tyler ; Reed, Brandon ; Andreoni, Igor ; Coughlin, Michael W ; Dietrich, Tim ; Groom, Steven L ; Laz, Theophile Jegou du ; Pang, Peter T. H ; Purdum, Josiah N ; Rusholme, Ben</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-9cb3c79f0f8064c2b9b945d7c5959245bf82e7e013e2b966b421deab0a4d63043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Physics - Cosmology and Nongalactic Astrophysics</topic><topic>Physics - High Energy Astrophysical Phenomena</topic><toplevel>online_resources</toplevel><creatorcontrib>Barna, Tyler</creatorcontrib><creatorcontrib>Reed, Brandon</creatorcontrib><creatorcontrib>Andreoni, Igor</creatorcontrib><creatorcontrib>Coughlin, Michael W</creatorcontrib><creatorcontrib>Dietrich, Tim</creatorcontrib><creatorcontrib>Groom, Steven L</creatorcontrib><creatorcontrib>Laz, Theophile Jegou du</creatorcontrib><creatorcontrib>Pang, Peter T. H</creatorcontrib><creatorcontrib>Purdum, Josiah N</creatorcontrib><creatorcontrib>Rusholme, Ben</creatorcontrib><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Barna, Tyler</au><au>Reed, Brandon</au><au>Andreoni, Igor</au><au>Coughlin, Michael W</au><au>Dietrich, Tim</au><au>Groom, Steven L</au><au>Laz, Theophile Jegou du</au><au>Pang, Peter T. H</au><au>Purdum, Josiah N</au><au>Rusholme, Ben</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Online Framework for Fitting Fast Transient Lightcurves</atitle><date>2024-04-26</date><risdate>2024</risdate><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.</abstract><doi>10.48550/arxiv.2404.17515</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Physics - Cosmology and Nongalactic Astrophysics Physics - High Energy Astrophysical Phenomena |
| title | An Online Framework for Fitting Fast Transient Lightcurves |
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