Abstract
We present the first gamma-ray burst (GRB) host galaxy with a measured absorption line and electron temperature (T e) based metallicity, using the temperature sensitive [O III]λ4363 auroral line detected in the JWST/NIRSpec spectrum of the host of GRB 050505 at redshift z = 4.28. We find that the metallicity of the cold interstellar gas, derived from the absorption lines in the GRB afterglow, of 12 + log(O/H) ∼ 7.7 is in reasonable agreement with the temperature-based emission line metallicity in the warm gas of the GRB host galaxy, which has values of 12 + log(O/H) = 7.80±0.19 and 7.96±0.21 for two common indicators. When using strong emission line diagnostics appropriate for high-z galaxies and sensitive to ionization parameter, we find good agreement between the strong emission line metallicity and the other two methods. Our results imply that, for the host of GRB050505, mixing between the warm and the cold interstellar medium along the line of sight to the GRB is efficient, and that GRB afterglow absorption lines can be a reliable tracer of the metallicity of the galaxy. If confirmed with a large sample, this suggest that metallicities determined via GRB afterglow spectroscopy can be used to trace cosmic chemical evolution to the earliest cosmic epochs and in galaxies far too faint for emission line spectroscopy, even for JWST.
| Original language | English |
|---|---|
| Pages (from-to) | 3837-3850 |
| Number of pages | 14 |
| Journal | Monthly Notices of the Royal Astronomical Society |
| Volume | 541 |
| Issue number | 4 |
| Early online date | 8 Jul 2025 |
| DOIs | |
| Publication status | Published - 1 Aug 2025 |
Data Availability Statement
The JWST and HST data are publicly available through the MAST archive (https://stdatu.stsci.edu/datadownloads.html) under program #2344 with PI P. Schady and #15644 with PI D. Perley, respectively. The data described here may also be obtained from the MAST archive at https://dx.doi.org/10.17909/ektj-8179. Code used for this analysis will be made available on reasonable request to the corresponding author.Funding
This work is based on observations made with the NASA/ESA/CSA James Webb Space Telescope. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with program #2344. This research is based on observations made with the NASA/ESA Hubble Space Telescope obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5\u201326555. These observations are associated with program #15644. AI and PS acknowledge support from the UK Science and Technology Facilities Council, grant reference ST/X001067/1. PW acknowledges support from the UK Science and Technology Facilities Council, grant reference ST/Z510269/1. RGB acknowledges financial support from the Severo Ochoa grant CEX2021-001131-S funded by MCIN AEI/10.13039/501100011033 and PID2022-141755NB-I00. RLCS acknowledges support from the Leverhulme Trust grant RPG-2023-240. AR acknowledges support from PRIN-MIUR 2017 (grant 20179ZF5KS). Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u2019s Excellence Strategy\u2013EXC 2094\u2013390783311. SDV acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-23-CE31-0011 (project PEGaSUS). This work makes use of Python packages numpy (v1.26.4; Harris et al. ), uncertainties (v3.2.2; http://pythonhosted.org/uncertainties/ ), matplotlib (v3.9.1; Hunter ), gdpyc (v.1.1; https://gdpyc.readthedocs.io/en/latest/ ) and lmfit (v1.3.2; Newville et al. ). This work made use of Astropy (v6.1.2; http://www.astropy.org ): a community-developed core Python package and an ecosystem of tools and resources for astronomy (Astropy Collaboration , , ). This work is based on observations made with the NASA/ESA/CSA James Webb Space Telescope. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with program #2344. This research is based on observations made with the NASA/ESA Hubble Space Telescope obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5\u201326555. These observations are associated with program #15644. AI and PS acknowledge support from the UK Science and Technology Facilities Council, grant reference ST/X001067/1. PW acknowledges support from the UK Science and Technology Facilities Council, grant reference ST/Z510269/1. RGB acknowledges financial support from the Severo Ochoa grant CEX2021-001131-S funded by MCIN AEI/10.13039/501100011033 and PID2022-141755NB-I00. RLCS acknowledges support from the Leverhulme Trust grant RPG-2023-240. AR acknowledges support from PRIN-MIUR 2017 (grant 20179ZF5KS). Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany\u2019s Excellence Strategy\u2013EXC 2094\u2013390783311. SDV acknowledges the support of the French Agence Nationale de la Recherche (ANR), under grant ANR-23-CE31-0011 (project PEGaSUS). This work makes use of Python packages NUMPY (v1.26.4; Harris et al. 2020), UNCERTAINTIES (v3.2.2; http://pythonhosted.org/uncertainties/), MATPLOTLIB (v3.9.1; Hunter 2007), GDPYC (v.1.1; https://gdpyc.readthedocs.io /en/latest/) and LMFIT (v1.3.2; Newville et al. 2016). This work made use of Astropy (v6.1.2; http://www.astropy.org): a community-developed core Python package and an ecosystem of tools and resources for astronomy (Astropy Collaboration 2013, 2018, 2022).
| Funders | Funder number |
|---|---|
| National Aeronautics and Space Administration | |
| UNCERTAINTIES | |
| GDPYC | |
| LMFIT | |
| Endocrine Society of Australia | |
| French National Research Agency | 2020, ANR-23-CE31-0011 |
| Space Telescope Science Institute | 15644, NAS 5–26555 |
| Science and Technology Facilities Council | ST/X001067/1, ST/Z510269/1 |
| Leverhulme Trust | RPG-2023-240, 20179ZF5KS |
| Severo Ochoa | PID2022-141755NB-I00, MCIN AEI/10.13039/501100011033, CEX2021-001131-S |
| Canadian Space Agency | NAS 5-03127, 2344 |
| Deutsche Forschungsgemeinschaft (DFG) | EXC 2094–390783311 |
Keywords
- galaxies: abundances
- gamma-ray burst: general
- gamma-ray burst: individual: GRB 050505
- gamma-ray bursts
ASJC Scopus subject areas
- Astronomy and Astrophysics
- Space and Planetary Science
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