An Online Framework for Fitting Fast Transient Lightcurves
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arXiv
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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913922319122432 |
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| 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_facet | 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 |
| contents | 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 $γ$-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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_17515 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An Online Framework for Fitting Fast Transient Lightcurves 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 High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics 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 $γ$-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. |
| title | An Online Framework for Fitting Fast Transient Lightcurves |
| topic | High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2404.17515 |