High redshift LBGs from deep broadband imaging for future spectroscopic surveys
Abstract
Lyman break galaxies (LBGs) are promising probes for clustering measurements at high redshift, , a region only covered so far by Lyman- forest measurements. In this paper, we investigate the feasibility of selecting LBGs by exploiting the existence of a strong deficit of flux shortward of the Lyman limit, due to various absorption processes along the line of sight. The target selection relies on deep imaging data from the HSC and CLAUDS surveys in the and bands, respectively, with median depths reaching 27 AB in all bands. The selections were validated by several dedicated spectroscopic observation campaigns with DESI. Visual inspection of spectra has enabled us to develop an automated spectroscopic typing and redshift estimation algorithm specific to LBGs. Based on these data and tools, we assess the efficiency and purity of target selections optimised for different purposes. Selections providing a wide redshift coverage retain of the observed targets after spectroscopic confirmation with DESI, and provide an efficiency for LBGs of , for a purity of the selected LBG sample of . This would deliver a confirmed LBG density of deg in the range for a -band limiting magnitude . Selections optimised for high redshift efficiency retain of the observed targets after spectroscopic confirmation, with efficiency for purity. This would provide a confirmed LBG density of deg in the range for a -band limiting magnitude . A preliminary study of the LBG sample 3d-clustering properties is also presented and used to estimate the LBG linear bias. A value of is obtained for a mean redshift of 2.9 and a limiting magnitude in of 24.2, in agreement with results reported in the literature.
Cite
@article{arxiv.2404.03569,
title = {High redshift LBGs from deep broadband imaging for future spectroscopic surveys},
author = {Vanina Ruhlmann-Kleider and Christophe Yèche and Christophe Magneville and Henri Coquinot and Eric Armengaud and Nathalie Palanque-Delabrouille and Anand Raichoor and Jessica Nicole Aguilar and Steven Ahlen and Stéphane Arnouts and David Brooks and Edmond Chaussidon and Todd Claybaugh and Kyle Dawson and Axel de la Macorra and Arjun Dey and Biprateep Dey and Peter Doel and Kevin Fanning and Simone Ferraro and Jaime E. Forero-Romero and Satya Gontcho A Gontcho and Gaston Gutierrez and Stephen Gwyn and Klaus Honscheid and Stephanie Juneau and Robert Kehoe and Theodore Kisner and Anthony Kremin and Andrew Lambert and Martin Landriau and Laurent Le Guillou and Michael E. Levi and Marc Manera and Paul Martini and Aaron Meisner and Ramon Miquel and John Moustakas and Eva-Maria Mueller and Andrea Muñoz-Gutiérrez and Jeffrey A. Newman and Jundan Nie and Gustavo Niz and Constantin Payerne and Vincent Picouet and Corentin Ravoux and Mehdi Rezaie and Graziano Rossi and Eusebio Sanchez and Marcin Sawicki and Edward F. Schlafly and David Schlegel and Michael Schubnell and Hee-Jong Seo and Joseph Silber and David Sprayberry and Julien Taran and Gregory Tarlé and Benjamin A. Weaver and Martin White and Michael J. Wilson and Zhimin Zhou and Hu Zou},
journal= {arXiv preprint arXiv:2404.03569},
year = {2024}
}
Comments
45 pages, 29 figures, published in JCAP