Templates for Fitting Photometry of Ultra-high-redshift Galaxies
Creators
Abstract
Recent data from the James Webb Space Telescope allow a first glimpse of galaxies at z ≳ 11. The most successful tool for identifying ultra-high-redshift candidates and inferring their properties is photometric template fitting. However, current methods rely on templates derived from much lower-redshift conditions, including stellar populations older than the age of the Universe at z > 12, a stellar initial mass function that is physically disallowed at z > 6, and weaker emission lines than currently observed at z > 7.5. Here, two sets of synthetic templates, optimized for the expected astrophysics of galaxies at 8 < z < 12 and z > 12, are developed and used to fit three galaxies at z > 12 from the SMACS0723 field. Using these improved templates, quantitative estimates are produced of the bias in inferred properties from JWST observations at z > 8 due to these effects. The best-fit redshifts are similar to those found with previous template sets, but the inferred stellar masses drop by as much as 1–1.6 dex, such that stellar masses are no longer seemingly inconsistent with ΛCDM. The two new template sets are released in formats compatible with EAZY and LePhare.
Additional Information
© 2023. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. The authors would like to thank Michael Boylan-Kolchin, Gabriel Brammer, Andreas Faisst, Johan Fynbo, Kate Gould, Bahram Mobasher, Sune Toft, and Darach Watson for helpful comments. The Cosmic Dawn Center (DAWN) is funded by the Danish National Research Foundation under grant No. 140.Attached Files
Published - Steinhardt_2023_ApJL_951_L40.pdf
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Steinhardt_2023_ApJL_951_L40.pdf
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Additional details
Identifiers
- Eprint ID
- 122390
- Resolver ID
- CaltechAUTHORS:20230725-745489000.13
Funding
- Danish National Research Foundation
- 140
Dates
- Created
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2023-08-17Created from EPrint's datestamp field
- Updated
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2023-08-17Created from EPrint's last_modified field