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A wind environment and Lorentz factors of tens explain gamma-ray bursts X-ray plateau

  • Hüsne Dereli-Bégué
  • , Asaf Pe’er
  • , Felix Ryde
  • , Samantha R. Oates
  • , Bing Zhang
  • , Maria G. Dainotti
  • KTH Royal Institute of Technology
  • University of Birmingham
  • University of Nevada, Las Vegas
  • National Institutes of Natural Sciences - National Astronomical Observatory of Japan
  • The Graduate University for Advanced Studies
  • Space Science Institute

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

Abstract

Gamma-ray bursts (GRBs) are known to have the most relativistic jets, with initial Lorentz factors in the order of a few hundreds. Many GRBs display an early X-ray light-curve plateau, which was not theoretically expected and therefore puzzled the community for many years. Here, we show that this observed signal is naturally obtained within the classical GRB fireball model, provided that the initial Lorentz factor is rather a few tens, and the expansion occurs into a medium-low density wind. The range of Lorentz factors in GRB jets is thus much wider than previously thought and bridges an observational gap between mildly relativistic jets inferred in active galactic nuclei, to highly relativistic jets deduced in few extreme GRBs. Furthermore, long GRB progenitors are either not Wolf-Rayet stars, or the wind properties during the final stellar evolution phase are different than at earlier times. Our model has predictions that can be tested to verify or reject it in the future, such as lack of GeV emission, lack of strong thermal component and long (few seconds) variability during the prompt phase characterizing plateau bursts.

Original languageEnglish
Article number5611
Number of pages10
JournalNature Communications
Volume13
Issue number1
DOIs
StatePublished - 24 Sep 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Funding

We thank Dr. Damien Bégué, Dr. Mukesh Vyas and Dr. Filip Samuelsson for their comments throughout the development of this work. This work made use of data supplied by the UK Swift Science Data Centre at the University of Leicester. H.D.-B. and A.P. is supported by the European Research Council via ERC consolidating grant 773062 (acronym O.M.J.). F.R. is supported by the Göran Gustafsson Foundation for Research in Natural Sciences and Medicine. We acknowledge support from the Swedish National Space Agency (196/16), the Swedish Research Council (Vetenskapsrådet, 2018-03513), and the Swedish Foundation for international Cooperation in Research and Higher Education (STINT, IB2019-8160). We thank Dr. Damien Bégué, Dr. Mukesh Vyas and Dr. Filip Samuelsson for their comments throughout the development of this work. This work made use of data supplied by the UK Swift Science Data Centre at the University of Leicester. H.D.-B. and A.P. is supported by the European Research Council via ERC consolidating grant 773062 (acronym O.M.J.). F.R. is supported by the Göran Gustafsson Foundation for Research in Natural Sciences and Medicine. We acknowledge support from the Swedish National Space Agency (196/16), the Swedish Research Council (Vetenskapsrådet, 2018-03513), and the Swedish Foundation for international Cooperation in Research and Higher Education (STINT, IB2019-8160).

FundersFunder number
Göran Gustafsson Foundation for Research in Natural Sciences and Medicine
University of Leicester
European Commission773062
Swedish Foundation for International Cooperation in Research and Higher EducationIB2019-8160
Swedish National Space Agency196/16
Vetenskapsrådet2018-03513

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