Spectral Templates Optimal for Selecting Galaxies at z > 8 with JWST

Authors: Rebecca L. Larson, Taylor A. Hutchison, Micaela Bagley, Steven L. Finkelstein, L. Y. Aaron Yung, Rachel S. Somerville, Michaela Hirschmann, Gabriel Brammer, Benne W. Holwerda, Casey Papovich, Alexa M. Morales, Stephen M. Wilkins

arXiv: 2211.10035v1 - DOI (astro-ph.GA)
14 pages, 10 figures, submitted to ApJ. SED templates published at: ceers.github.io/LarsonSEDTemplates
License: CC0 1.0

Results of the summarizing process for the arXiv paper: 2211.10035v1

  • Comprehensive Summary
  • Key points
  • Layman's Summary
  • Blog article
The selection of high-redshift galaxies, particularly those at z > 8, is crucial for understanding the early universe. Accurately determining the redshifts of these galaxies solely through photometric data can be challenging, as spectral energy distribution (SED) fitting relies on comparing observed photometry to model templates. However, the rest-frame ultraviolet (UV) colors of z > 8 galaxies are often bluer than what is typically expected from these templates, leading to potential errors in photometric redshift estimation. To address this issue, a team of researchers has developed a set of spectral templates that better match the predicted rest-UV colors of z > 8 galaxies. Combining BPASS and Cloudy models, they tested their effectiveness using a mock catalog that mimics the expected field depths and areas of the Cosmic Evolution Early Release Science Survey (CEERS). This survey is being conducted by the James Webb Space Telescope (JWST) over several extragalactic fields, providing an ideal opportunity for discovering and classifying distant galaxies. By incorporating these new templates into their analysis with EAZY software, they were able to enhance the accuracy of redshift recovery for galaxies at 8 < z < 10. This work provides important insights for astronomers entering this new era of astronomy with JWST and demonstrates how improved spectral templates can address challenges associated with estimating accurate redshifts for high-redshift galaxies using photometric data alone.
AI-generated keywords: High-redshift galaxies

AI-generated Key Points

  • Selection of high-redshift galaxies, especially those at z > 8, is crucial for understanding the early universe.
  • Determining redshifts of these galaxies through photometric data can be challenging.
  • Rest-frame ultraviolet (UV) colors of z > 8 galaxies are often bluer than expected from model templates.
  • Researchers have developed spectral templates that better match the predicted rest-UV colors of z > 8 galaxies.
  • The effectiveness of these templates was tested using a mock catalog mimicking the Cosmic Evolution Early Release Science Survey (CEERS).
  • Incorporating these new templates into analysis with EAZY software enhances redshift recovery accuracy for galaxies at 8 < z < 10.
  • This work provides insights for astronomers using the James Webb Space Telescope (JWST) to study high-redshift galaxies.
Also access our AI generated: Comprehensive summary, Lay summary, Blog-like article; or ask questions about this paper to our AI assistant.

Abstract: The selection of high-redshift galaxies often involves spectral energy distribution (SED) fitting to photometric data, an expectation for contamination levels, and measurement of sample completeness -- all vetted through comparison to spectroscopic redshift measurements of a sub-sample. The first JWST data is now being taken over several extragalactic fields, to different depths and across various areas, which will be ideal for the discovery and classification of galaxies out to distances previously uncharted. As spectroscopic redshift measurements for sources in this epoch will not be initially available to compare with the first photometric measurements of z > 8 galaxies, robust photometric redshifts are of the utmost importance. Galaxies at z > 8 are expected to have bluer rest-frame ultraviolet (UV) colors than typically-used model SED templates, which could lead to catastrophic photometric redshift failures. We use a combination of BPASS and Cloudy models to create a supporting set of templates that match the predicted rest-UV colors of z > 8 the simulated galaxies in a mock catalog (Yung et al. 2022), which mimics expected field depths and areas of the Cosmic Evolution Early Release Science Survey (CEERS: m$_{5\sigma}$ ~ 28.6 over ~100 arcmin$^2$; Finkelstein et al. 2022a, Bagley et al. 2022). We use EAZY to highlight the improvements in redshift recovery with the inclusion of our new template set and suggest criteria for selecting galaxies at 8 < z < 10 with JWST, providing an important test case for observers venturing into this new era of astronomy.

Submitted to arXiv on 18 Nov. 2022

Tools for this paper

Explain it differently 3 free rewrites left today
Export BibTeX · RIS (Zotero, Mendeley, EndNote) · Markdown (Notion, Obsidian) · Premium
Citation alerts Premium
Journal club Slides to present it Premium
For journalists Press kit and hype check Premium

Ask questions about this paper to our AI assistant

You can also chat with multiple papers at once here.

Figures and plots

Ask about a figure by number or use its question button to request visual analysis. Up to two figures and four image panels per question. Values read from plots are approximate; check the original data.

AI assistant instructions?

Assess the quality of the AI-generated content by voting

Score: 0

Why do we need votes?

Votes are used to determine whether we need to re-run our summarizing tools. If the count reaches -10, our tools can be restarted.

The previous summary was created more than a year ago and can be re-run (if necessary) by clicking on the Run button below.

Similar papers summarized with our AI tools

Navigate through even more similar papers through a

tree representation

Disclaimer: The AI-based summarization tool and virtual assistant provided on this website may not always provide accurate and complete summaries or responses. We encourage you to carefully review and evaluate the generated content to ensure its quality and relevance to your needs.