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Systematics and Biases in Observations of Supernovae Associated with Gamma-Ray Bursts

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Abstract

Detection, observation and description of supernovae associated with gamma-ray bursts are currently topical tasks in the field of transient phenomena. From the moment an assumption is made about the relationship of the gamma-ray burst with a supernova to obtaining the parameters of the latter, many steps must be taken, and each of them introduces uncertainty and systematics into the final result. In this paper, we analyze the selective effects that arise during the determination of the parameters of supernovae associated with gamma-ray bursts and discuss possible options for taking them into account and minimizing them.

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ACKNOWLEDGMENTS

S. Belkin and A. S. Pozanenko thank the Ministry of Science and Higher Education of the Russian Federation for financial support, grant 075-15-2022-1221 (2022-BRICS-8847-2335).

Funding

The work is supported by the Ministry of Science and Higher Education of the Russian Federation, grant no. 075-15-2022-1221 (2022-BRICS-8847-2335).

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Authors and Affiliations

  1. National Research University “Higher School of Economics”, 101000, Moscow, Russian Federation

    S. O. Belkin & A. S. Pozanenko

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  1. S. O. Belkin
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  2. A. S. Pozanenko
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Correspondence to S. O. Belkin or A. S. Pozanenko.

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This article is a completely original work of its authors, has not been published before and will not be sent to other publications until the PRIA Editorial Board decides not to accept it for publication.

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Additional information

Belkin Sergey. Place of study: National Research University Higher School of Economics, Faculty of Physics;

Job title: Third year PhD student;

Place of work: Space Research Institute of the Russian Academy of Sciences;

Job title: engineer (since September 2020).

Pozanenko Alexei. Place of work: Space Research Institute of the Russian Academy of Sciences;

Job title: Leading Researcher;

Academic degree: Candidate of Physical and Mathematical Sciences.

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Belkin, S.O., Pozanenko, A.S. Systematics and Biases in Observations of Supernovae Associated with Gamma-Ray Bursts. Pattern Recognit. Image Anal. 33, 86–91 (2023). https://doi.org/10.1134/S1054661823020025

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