paper

EPOCHS Paper II: The Ultraviolet Luminosity Function from using 180 square arcminutes of deep, blank-fields from the PEARLS Survey and Public JWST data

arXiv:2304.13721

Abstract

We present an analysis of the ultraviolet luminosity function (UV LF) and star formation rate density of distant galaxies () in the `blank' fields of the Prime Extragalactic Areas for Reionization Science (PEARLS) survey combined with Early Release Science (ERS) data from the CEERS, GLASS, NGDEEP surveys/fields and the first data release of JADES. We use strict quality cuts on EAZY photometric redshifts to obtain a reliable selection and characterisation of high-redshift () galaxies from a consistently processed set of deep, near-infrared imaging. Within an area of 180 arcmin, we identify 1046 candidate galaxies at redshifts and we use this sample to study the ultraviolet luminosity function (UV LF) in four redshift bins between . The measured number density of galaxies at and match those of past observations undertaken by the {\em Hubble Space Telescope} (HST). Our measurements lie between early JWST results and past HST results, indicating cosmic variance may be the cause of previous high density measurements. However, number densities of UV luminous galaxies at are high compared to predictions from simulations. When examining the star formation rate density of galaxies at this time period, our observations are still largely consistent with a constant star formation efficiency, are slightly lower than previous early estimations using JWST and support galaxy driven reionization at .

28 Pages, 4 Tables, 10 Figures, V2 updated paper: Accepted in ApJ, analysis now includes completed PEARLS NEP-TDF Field and JADES DR1, updated image calibrations for all fields, more detailed completeness analysis conducted. V3 updated paper: corrected minor issues in acknowledgements section

EPOCHS Paper II: The Ultraviolet Luminosity Function from $7.5<z<13.5$ using 180 square arcminutes of deep, blank-fields from the PEARLS Survey and Public JWST data · wovepaper