Optical Observations of Gamma-Ray Bursts, the Discovery of Supernovae 2005bv, 2005ee, and 2006ak, and Searches for Transients Using the "MASTER" Robotic Telescope
V. M. Lipunov, V.G.Kornilov, A.V.Krylov, N.V.Tyurina, A. A. Belinski,, E. S. Gorbovskoy, D. A. Kuvshinov, P. A. Gritsyk, G.A.Antipov, G. V. Borisov,, A. V. Sankovich, V.V.Vladimirov, V. I.Vybornov, A. S. Kuznetsov

TL;DR
This paper reports on optical observations of gamma-ray bursts and supernovae using the MASTER robotic telescope, including early detections, spectrum analysis, and the development of new transient search methods, expanding understanding of cosmic transient phenomena.
Contribution
It introduces new observational data, discovers three supernovae, and proposes a novel method for detecting optical transients associated with gamma-ray bursts.
Findings
Brightness-variation law for GRB 050824 established
Optical flare observed in GRB 060926 with X-ray correlation
Discovered three new supernovae, including the first on Russian territory
Abstract
We present the results of observations obtained using the MASTER robotic telescope in 2005 - 2006, including the earliest observations of the optical emission of the gamma-ray bursts GRB 050824 and GRB 060926. Together with later observations, these data yield the brightness-variation law t^{-0.55+-0.05} for GRB 050824. An optical flare was detected in GRB 060926 - a brightness enhancement that repeated the behavior observed in the X-ray variations. The spectrum of GRB 060926 is found to be F_E ~ E^-\beta, where \beta = 1.0+-0.2. Limits on the optical brightnesses of 26 gamma-ray bursts have been derived, 9 of these for the first time. Data for more than 90% of the accessible sky down to were taken and reduced in real time during the survey. A database has been composed based on these data. Limits have been placed on the rate of optical flares that are not associated with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
