The Evryscope Fast Transient Engine: Real-Time Detection for Rapidly Evolving Transients
| Autor: | Corbett, Hank, Carney, Jonathan, Gonzalez, Ramses, Fors, Octavi, Galliher, Nathan, Glazier, Amy, Howard, Ward S., Law, Nicholas M., Quimby, Robert, Ratzloff, Jeffrey K., Soto, Alan Vasquez |
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| Rok vydání: | 2023 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.3847/1538-4365/acbd41 |
| Popis: | Astrophysical transients with rapid development on sub-hour timescales are intrinsically rare. Due to their short durations, events like stellar superflares, optical flashes from gamma-ray bursts, and shock breakouts from young supernovae are difficult to identify on timescales that enable spectroscopic followup. This paper presents the Evryscope Fast Transient Engine (EFTE), a new data reduction pipeline designed to provide low-latency transient alerts from the Evryscopes, a North-South pair of ultra-wide-field telescopes with an instantaneous footprint covering 38% of the entire sky, and tools for building long-term light curves from Evryscope data. EFTE leverages the optical stability of the Evryscopes by using a simple direct image subtraction routine suited to continuously monitoring the transient sky at minute cadence. Candidates are produced within the base Evryscope two-minute cadence for 98.5% of images, and internally filtered using VetNet, a convolutional neural network real-bogus classifier. EFTE provides an extensible, robust architecture for transient surveys probing similar timescales, and serves as the software testbed for the real-time analysis pipelines and public data distribution systems for the Argus Array, a next generation all-sky observatory with a data rate 62x higher than Evryscope. Comment: 28 pages, 18 figures. in press, ApJS |
| Databáze: | arXiv |
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