The Quest for New Correlations in the Realm of the Gamma-Ray Burst—Supernova Connection

Author:

Dainotti M. G.ORCID,Simone B. DeORCID,Islam K. M.ORCID,Kawaguchi K.ORCID,Moriya T. J.ORCID,Takiwaki T.ORCID,Tominaga N.ORCID,Gangopadhyay A.ORCID

Abstract

Abstract Gamma-ray bursts (GRBs) are very energetic cosmological transients. Long GRBs are usually associated with Type Ib/c supernovae (SNe), and we refer to them as GRB-SNe. Since the associated SN for a given GRB is observed only at low redshift, a possible selection effect exists when we consider intrinsically faint sources that cannot be observed at high redshift. Thus, it is important to explore the possible relationships between GRB and SN parameters after these have been corrected for astrophysical biases due to the instrumental selection effects and redshift evolution of the variables involved. So far, only GRB prompt emission properties have been checked against the SN Ib/c properties without considering the afterglow (AG). This work investigates the existence of relationships among GRBs’ prompt and AG and associated SN properties. We investigate 91 bidimensional correlations among the SN and GRB observables before and after their correction for selection biases and evolutionary effects. As a result of this investigation, we find hints of a new correlation with a Pearson correlation coefficient >0.50 and a probability of being drawn by chance <0.05. This correlation is between the luminosity at the end of the GRB optical plateau emission and the rest-frame peak time of the SN. According to this relation, the brightest optical plateaus are accompanied by the largest peak times. This correlation is corrected for selection biases and redshift evolution and may provide new constraints for the astrophysical models associated with the GRB-SN connection.

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GRB optical and X-ray plateau properties classifier using unsupervised machine learning;Monthly Notices of the Royal Astronomical Society;2023-08-31

2. A Stochastic Approach to Reconstruct Gamma-Ray-burst Light Curves;The Astrophysical Journal Supplement Series;2023-08-01

3. Limit on Supernova Emission in the Brightest Gamma-Ray Burst, GRB 221009A;The Astrophysical Journal Letters;2023-03-01

4. Radio-bright versus radio-dark gamma-ray bursts – more evidence for distinct progenitors;Monthly Notices of the Royal Astronomical Society;2023-02-09

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