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An Unambiguous Separation of Gamma-Ray Bursts into Two Classes from Prompt Emission Alone

Astrophysical Journal Letters, ISSN: 2041-8213, Vol: 896, Issue: 2
2020
  • 44
    Citations
  • 0
    Usage
  • 28
    Captures
  • 3
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    44
    • Citation Indexes
      44
  • Captures
    28
  • Mentions
    3
    • News Mentions
      3
      • News
        3

Most Recent News

Separating gamma-ray bursts: Students make critical breakthrough

By applying a machine-learning algorithm, scientists at the Niels Bohr Institute, University of Copenhagen, have developed a method to classify all gamma-ray bursts (GRBs), rapid

Article Description

The duration of a gamma-ray burst (GRB) is a key indicator of its physical origin, with long bursts perhaps associated with the collapse of massive stars and short bursts with mergers of neutron stars. However, there is substantial overlap in the properties of both short and long GRBs and neither duration nor any other parameter so far considered completely separates the two groups. Here we unambiguously classify every GRB using a machine-learning dimensionality reduction algorithm, t-distributed stochastic neighborhood embedding, providing a catalog separating all Swift GRBs into two groups. Although the classification takes place only using prompt emission light curves, every burst with an associated supernova is found in the longer group and bursts with kilonovae in the short, suggesting along with the duration distributions that these two groups are truly long and short GRBs. Two bursts with a clear absence of a supernova belong to the longer class, indicating that these might have been direct-collapse black holes, a proposed phenomenon that may occur in the deaths of more massive stars.

Bibliographic Details

Christian K. Jespersen; Johann B. Severin; Charles L. Steinhardt; Jonas Vinther; Johan P. U. Fynbo; Jonatan Selsing; Darach Watson

American Astronomical Society

Physics and Astronomy; Earth and Planetary Sciences

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