Gamma-ray bursts (GRBs) are the most energetic events known to occur in the universe. Most of what is known about them comes from the study of their lower energy afterglow, due to the difficulty in pinpointing their origin in the gamma or x-ray spectrum. Of particular interest are emissions in visible light which have helped confirm the link between GRBs and hypernova explosions. Due to the limited field of view of most telescopes, there is a sizable time gap between a GRB detection by an orbiting telescope and optical telescopes slewing onto the target. To make things more challenging, the uncertainty of localization is often greater than the field of view for most telescopes. The Evryscope, however, has a 16,000 sq. deg. field of view. Since its deployment at CTIO in 2016, it has been operating and recording all data continuously, so we have a full record of sky events stretching back years. In this work, images taken by the Evryscope at the trigger times and locations provided by the Fermi Gamma Burst Monitor (GBM) team from the Fermi Gamma-ray Space Telescope (FGST) were extracted from the database. They were then processed using the Evryscope subtraction pipeline, which includes a machine-learning vetting system, to create a list of transient candidates. Those candidates were sorted visually, and the most prominent ones were analyzed. Most were found to be flares from M-dwarf stars.
American Astronomical Society Meeting Abstracts #235
- Pub Date:
- January 2020