2022
DOI: 10.1093/mnras/stac1796
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Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions

Abstract: The temporal and spectral evolution of gamma-ray burst (GRB) afterglows can be used to infer the density and density profile of the medium through which the shock is propagating. In long-duration (core-collapse) GRBs, the circumstellar medium (CSM) is expected to resemble a wind-blown bubble, with a termination shock separating the stellar wind and the interstellar medium (ISM). A long standing problem is that flat density profiles, indicative of the ISM, are often found at lower radii than expected for a mass… Show more

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Cited by 5 publications
(2 citation statements)
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“…This allows us to take a different approach when comparing observational systems and theory: instead of creating a model to match the observations as MNRAS 520, 4740-4746 (2023) best as possible, we can search through our existing predictions and find systems that are similar to those observed (e.g. Xiao et al 2019 Chrimes et al 2022 ;Ghodla et al 2022 ;Ste v ance et al 2022 ).…”
mentioning
confidence: 99%
“…This allows us to take a different approach when comparing observational systems and theory: instead of creating a model to match the observations as MNRAS 520, 4740-4746 (2023) best as possible, we can search through our existing predictions and find systems that are similar to those observed (e.g. Xiao et al 2019 Chrimes et al 2022 ;Ghodla et al 2022 ;Ste v ance et al 2022 ).…”
mentioning
confidence: 99%
“…We also neglect contributions from the outflows associated with the prompt phase or the progenitor star. This is justified since at a distance r in the density of a typical Wolf-Rayet wind is already approximately one order of magnitude lower than the typical intragalactic densities (n ≃ 1 cm −3 ), and thus much lower than the range of densities we explore in our simulations (Chrimes et al 2022;Eldridge et al 2006).…”
Section: Physical Setting Of the Grb Surroundingsmentioning
confidence: 81%