Euclid Quick Data Release (Q1): Hunting for luminous z > 6 galaxies in the Euclid Deep Fields -- forecasts and first bright detections
Euclid Collaboration: N. Allen (1, 2), P. A. Oesch (3, 1, 2), R. A. A. Bowler (4), S. Toft (1, 2), J. Matharu (5, 2), J. R. Weaver (6), C. J. R. McPartland (5, 2), M. Shuntov (7, 5, 2), D. B. Sanders (8), B. Mobasher (9), H. J. McCracken (10), H. Atek (10), E. Ba\~nados (11)

TL;DR
The Euclid Deep Fields will significantly enhance the detection and study of luminous galaxies at z > 6, enabling better constraints on the ultraviolet luminosity function's bright end through forecasts and initial detections.
Contribution
This paper provides forecasts for high-redshift galaxy counts in Euclid Deep Fields and demonstrates effective selection methods for bright z > 6 galaxies, including first candidate detections.
Findings
Forecasted >100,000 galaxies at z=6-12 in Euclid data.
High-fidelity selection method recovers >76% of z > 6 galaxies.
Detection of ultra-luminous candidates supports a double power-law LF model.
Abstract
The evolution of the rest-frame ultraviolet luminosity function (UV LF) is a powerful probe of early star formation and stellar mass build-up. At z > 6, its bright end (MUV < -21) remains poorly constrained due to the small volumes of existing near-infrared (NIR) space-based surveys. The Euclid Deep Fields (EDFs) will cover 53 deg^2 with NIR imaging down to 26.5 AB, increasing area by a factor of 100 over previous space-based surveys. They thus offer an unprecedented opportunity to select bright z > 6 Lyman break galaxies (LBGs) and constrain the UV LF's bright end. With NIR coverage extending to 2um, Euclid can detect galaxies out to z = 13. We present forecasts for the number densities of z > 6 galaxies expected in the final EDF dataset. Using synthetic photometry from spectral energy distribution (SED) templates of z = 5--15 galaxies, z = 1--4 interlopers, and Milky Way MLT dwarfs,…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Gamma-ray bursts and supernovae · Astronomy and Astrophysical Research
