Journal article
Early Results from GLASS-JWST. X. Rest-frame UV-optical Properties of Galaxies at 7 < z < 9
N Leethochawalit, M Trenti, P Santini, L Yang, E Merlin, M Castellano, A Fontana, T Treu, C Mason, K Glazebrook, T Jones, B Vulcani, T Nanayakkara, D Marchesini, S Mascia, T Morishita, G Roberts-Borsani, A Bonchi, D Paris, K Boyett Show all
Astrophysical Journal Letters | IOP Publishing Ltd | Published : 2023
Abstract
We present the first James Webb Space Telescope/NIRCam-led determination of 7 < z < 9 galaxy properties based on broadband imaging from 0.8 to 5 μm as part of the GLASS-JWST Early Release Science program. This is the deepest data set acquired at these wavelengths to date, with an angular resolution ≲0.″14. We robustly identify 13 galaxies with signal-to-noise ratio ≳ 8 in F444W from 8 arcmin2 of data at m AB ≤ 28 from a combination of dropout and photometric redshift selection. From simulated data modeling, we estimate the dropout sample purity to be ≳90%. We find that the number density of these F444W-selected sources is broadly consistent with expectations from the UV luminosity function d..
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Grants
Awarded by Ecological Society of Australia Incorporated
Funding Acknowledgements
This work is based on observations made with the NASA/ESA/CSA James Webb Space Telescope. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with program JWST-ERS-1324. We acknowledge financial support from NASA through grants JWST-ERS-1324. This research is supported in part by the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project number CE170100013. K.G. and T.N. acknowledge support from the Australian Research Council Laureate Fellowship FL180100060. M.B. acknowledges support from the Slovenian national research agency ARRS through grant N1-0238. Facility: JWST(NIRCam). Software: astropy (Astropy Collaboration et al. 2018), Bagpipes (Carnall et al. 2018).