Spectrophotometric Redshifts In The Faint Infrared Grism Survey: Finding Overdensities Of Faint Galaxies
John Pharo, Sangeeta Malhotra, James Rhoads, Russell Ryan, Vithal, Tilvi, Norbert Pirzkal, Steven Finkelstein, Rogier Windhorst, Norman Grogin,, Anton Koekemoer, Zhenya Zheng, Nimish Hathi, Keunho Kim, Bhavin Joshi, Huan, Yang, Lise Christensen, Andrea Cimatti, Jon Gardner

TL;DR
This study enhances photometric redshift accuracy by incorporating low-resolution grism spectra from Hubble, enabling better detection of galaxy overdensities and clusters up to redshift 6.
Contribution
It introduces a method combining HST grism spectra with photometry to significantly improve redshift precision and identify galaxy overdensities.
Findings
Photometric redshift error reduced by 50% with grism data
Identified 24 galaxy overdensities, including confirmed clusters
Improved outlier rate from 8% to 7%
Abstract
We improve the accuracy of photometric redshifts by including low-resolution spectral data from the G102 grism on the Hubble Space Telescope, which assists in redshift determination by further constraining the shape of the broadband Spectral Energy Disribution (SED) and identifying spectral features. The photometry used in the redshift fits includes near-IR photometry from FIGS+CANDELS, as well as optical data from ground-based surveys and HST ACS, and mid-IR data from Spitzer. We calculated the redshifts through the comparison of measured photometry with template galaxy models, using the EAZY photometric redshift code. For objects with F105W AB mag with a redshift range of , we find a typical error of for the purely photometric redshifts; with the addition of FIGS spectra, these become , an improvement of 50\%.…
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