Efficient Survey Design for Finding High-redshift Galaxies with JWST

  • Vujeva L
  • Steinhardt C
  • Jespersen C
  • et al.
6Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Several large JWST blank field observing programs have not yet discovered the first galaxies expected to form at 15 ≤ z ≤ 20. This has motivated the search for more effective survey strategies that will be able to effectively probe this redshift range. Here, we explore the use of gravitationally lensed cluster fields, which have historically been the most effective discovery tool with the Hubble Space Telescope. In this paper, we analyze the effectiveness of the most massive galaxy clusters that provide the highest median magnification factor within a single JWST NIRCam module in uncovering this population. The results of exploiting these lensing clusters to break the z > 15 barrier are compared against the results from large-area, blank-field surveys such as JADES and CEERS in order to determine the most effective survey strategy for JWST. We report that the fields containing massive foreground galaxy clusters specifically chosen to occupy the largest fraction of a single NIRCam module with high magnification factors in the source plane while containing all multiple images in the image plane within a single module provide the highest probability of both probing the 15 ≤ z ≤ 20 regime as well as discovering the highest-redshift galaxy possible with JWST. We also find that using multiple massive clusters in exchange for shallower survey depths is a more time-efficient method of probing the z > 15 regime.

Cite

CITATION STYLE

APA

Vujeva, L., Steinhardt, C. L., Jespersen, C. K., Frye, B. L., Koekemoer, A. M., Natarajan, P., … Sneppen, A. (2024). Efficient Survey Design for Finding High-redshift Galaxies with JWST. The Astrophysical Journal, 974(1), 23. https://doi.org/10.3847/1538-4357/ad639d

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free