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Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions

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Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions. / Chrimes, A A; Gompertz, B P; Kann, D A et al.
In: Monthly Notices of the Royal Astronomical Society, 29.06.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Chrimes, AA, Gompertz, BP, Kann, DA, van Marle, AJ, Eldridge, JJ, Groot, PJ, Laskar, T, Levan, AJ, Nicholl, M, Stanway, ER & Wiersema, K 2022, 'Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions', Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stac1796

APA

Chrimes, A. A., Gompertz, B. P., Kann, D. A., van Marle, A. J., Eldridge, J. J., Groot, P. J., Laskar, T., Levan, A. J., Nicholl, M., Stanway, E. R., & Wiersema, K. (2022). Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions. Monthly Notices of the Royal Astronomical Society. Advance online publication. https://doi.org/10.1093/mnras/stac1796

Vancouver

Chrimes AA, Gompertz BP, Kann DA, van Marle AJ, Eldridge JJ, Groot PJ et al. Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions. Monthly Notices of the Royal Astronomical Society. 2022 Jun 29. Epub 2022 Jun 29. doi: 10.1093/mnras/stac1796

Author

Chrimes, A A ; Gompertz, B P ; Kann, D A et al. / Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions. In: Monthly Notices of the Royal Astronomical Society. 2022.

Bibtex

@article{91828f3418d644a9bff9e06dab23b190,
title = "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 massive star progenitor. Furthermore, the presence of both wind-like environments at high radii and ISM-like environments at low radii remains a mystery. In this paper, we perform a {\textquoteleft}CSM population synthesis{\textquoteright} with long GRB progenitor stellar evolution models. Analytic results for the evolution of wind blown bubbles are adjusted through comparison with a grid of 2D hydrodynamical simulations. Predictions for the emission radii, ratio of ISM to wind-like environments, wind and ISM densities are compared with the largest sample of afterglow-derived parameters yet compiled, which we make available for the community. We find that high ISM densities of n ∼ 1000 cm−3 best reproduce observations. If long GRBs instead occur in typical ISM densities of n ∼ 1 cm−3, then the discrepancy between theory and observations is shown to persist at a population level. We discuss possible explanations for the origin of variety in long GRB afterglows, and for the overall trend of CSM modelling to over-predict the termination shock radius.",
keywords = "Space and Planetary Science, Astronomy and Astrophysics",
author = "Chrimes, {A A} and Gompertz, {B P} and Kann, {D A} and {van Marle}, {A J} and Eldridge, {J J} and Groot, {P J} and T Laskar and Levan, {A J} and M Nicholl and Stanway, {E R} and K Wiersema",
note = "This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society Published by Oxford University Press on behalf of the Royal Astronomical Society.",
year = "2022",
month = jun,
day = "29",
doi = "10.1093/mnras/stac1796",
language = "English",
journal = "Monthly Notices of the Royal Astronomical Society",
issn = "0035-8711",
publisher = "OXFORD UNIV PRESS",

}

RIS

TY - JOUR

T1 - Towards an understanding of long gamma-ray burst environments through circumstellar medium population synthesis predictions

AU - Chrimes, A A

AU - Gompertz, B P

AU - Kann, D A

AU - van Marle, A J

AU - Eldridge, J J

AU - Groot, P J

AU - Laskar, T

AU - Levan, A J

AU - Nicholl, M

AU - Stanway, E R

AU - Wiersema, K

N1 - This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society Published by Oxford University Press on behalf of the Royal Astronomical Society.

PY - 2022/6/29

Y1 - 2022/6/29

N2 - 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 massive star progenitor. Furthermore, the presence of both wind-like environments at high radii and ISM-like environments at low radii remains a mystery. In this paper, we perform a ‘CSM population synthesis’ with long GRB progenitor stellar evolution models. Analytic results for the evolution of wind blown bubbles are adjusted through comparison with a grid of 2D hydrodynamical simulations. Predictions for the emission radii, ratio of ISM to wind-like environments, wind and ISM densities are compared with the largest sample of afterglow-derived parameters yet compiled, which we make available for the community. We find that high ISM densities of n ∼ 1000 cm−3 best reproduce observations. If long GRBs instead occur in typical ISM densities of n ∼ 1 cm−3, then the discrepancy between theory and observations is shown to persist at a population level. We discuss possible explanations for the origin of variety in long GRB afterglows, and for the overall trend of CSM modelling to over-predict the termination shock radius.

AB - 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 massive star progenitor. Furthermore, the presence of both wind-like environments at high radii and ISM-like environments at low radii remains a mystery. In this paper, we perform a ‘CSM population synthesis’ with long GRB progenitor stellar evolution models. Analytic results for the evolution of wind blown bubbles are adjusted through comparison with a grid of 2D hydrodynamical simulations. Predictions for the emission radii, ratio of ISM to wind-like environments, wind and ISM densities are compared with the largest sample of afterglow-derived parameters yet compiled, which we make available for the community. We find that high ISM densities of n ∼ 1000 cm−3 best reproduce observations. If long GRBs instead occur in typical ISM densities of n ∼ 1 cm−3, then the discrepancy between theory and observations is shown to persist at a population level. We discuss possible explanations for the origin of variety in long GRB afterglows, and for the overall trend of CSM modelling to over-predict the termination shock radius.

KW - Space and Planetary Science

KW - Astronomy and Astrophysics

U2 - 10.1093/mnras/stac1796

DO - 10.1093/mnras/stac1796

M3 - Journal article

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

SN - 0035-8711

ER -