High redshift LBGs from deep broadband imaging for future spectroscopic surveys
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2024
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| author | Ruhlmann-Kleider, Vanina Yèche, Christophe Magneville, Christophe Coquinot, Henri Armengaud, Eric Palanque-Delabrouille, Nathalie Raichoor, Anand Aguilar, Jessica Nicole Ahlen, Steven Arnouts, Stéphane Brooks, David Chaussidon, Edmond Claybaugh, Todd Dawson, Kyle de la Macorra, Axel Dey, Arjun Dey, Biprateep Doel, Peter Fanning, Kevin Ferraro, Simone Forero-Romero, Jaime E. Gontcho, Satya Gontcho A Gutierrez, Gaston Gwyn, Stephen Honscheid, Klaus Juneau, Stephanie Kehoe, Robert Kisner, Theodore Kremin, Anthony Lambert, Andrew Landriau, Martin Guillou, Laurent Le Levi, Michael E. Manera, Marc Martini, Paul Meisner, Aaron Miquel, Ramon Moustakas, John Mueller, Eva-Maria Muñoz-Gutiérrez, Andrea Newman, Jeffrey A. Nie, Jundan Niz, Gustavo Payerne, Constantin Picouet, Vincent Ravoux, Corentin Rezaie, Mehdi Rossi, Graziano Sanchez, Eusebio Sawicki, Marcin Schlafly, Edward F. Schlegel, David Schubnell, Michael Seo, Hee-Jong Silber, Joseph Sprayberry, David Taran, Julien Tarlé, Gregory Weaver, Benjamin A. White, Martin Wilson, Michael J. Zhou, Zhimin Zou, Hu |
| author_facet | Ruhlmann-Kleider, Vanina Yèche, Christophe Magneville, Christophe Coquinot, Henri Armengaud, Eric Palanque-Delabrouille, Nathalie Raichoor, Anand Aguilar, Jessica Nicole Ahlen, Steven Arnouts, Stéphane Brooks, David Chaussidon, Edmond Claybaugh, Todd Dawson, Kyle de la Macorra, Axel Dey, Arjun Dey, Biprateep Doel, Peter Fanning, Kevin Ferraro, Simone Forero-Romero, Jaime E. Gontcho, Satya Gontcho A Gutierrez, Gaston Gwyn, Stephen Honscheid, Klaus Juneau, Stephanie Kehoe, Robert Kisner, Theodore Kremin, Anthony Lambert, Andrew Landriau, Martin Guillou, Laurent Le Levi, Michael E. Manera, Marc Martini, Paul Meisner, Aaron Miquel, Ramon Moustakas, John Mueller, Eva-Maria Muñoz-Gutiérrez, Andrea Newman, Jeffrey A. Nie, Jundan Niz, Gustavo Payerne, Constantin Picouet, Vincent Ravoux, Corentin Rezaie, Mehdi Rossi, Graziano Sanchez, Eusebio Sawicki, Marcin Schlafly, Edward F. Schlegel, David Schubnell, Michael Seo, Hee-Jong Silber, Joseph Sprayberry, David Taran, Julien Tarlé, Gregory Weaver, Benjamin A. White, Martin Wilson, Michael J. Zhou, Zhimin Zou, Hu |
| contents | Lyman break galaxies (LBGs) are promising probes for clustering measurements at high redshift, $z>2$, a region only covered so far by Lyman-$α$ 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 $g,r,z$ and $u$ 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 $57\%$ of the observed targets after spectroscopic confirmation with DESI, and provide an efficiency for LBGs of $83\pm3\%$, for a purity of the selected LBG sample of $90\pm2\%$. This would deliver a confirmed LBG density of $\sim 620$ deg$^{-2}$ in the range $2.3<z<3.5$ for a $r$-band limiting magnitude $r<24.2$. Selections optimised for high redshift efficiency retain $73\%$ of the observed targets after spectroscopic confirmation, with $89\pm4\%$ efficiency for $97\pm2\%$ purity. This would provide a confirmed LBG density of $\sim 470$ deg$^{-2}$ in the range $2.8<z<3.5$ for a $r$-band limiting magnitude $r<24.5$. A preliminary study of the LBG sample 3d-clustering properties is also presented and used to estimate the LBG linear bias. A value of $b_{LBG} = 3.3 \pm 0.2 (stat.)$ is obtained for a mean redshift of 2.9 and a limiting magnitude in $r$ of 24.2, in agreement with results reported in the literature. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_03569 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | High redshift LBGs from deep broadband imaging for future spectroscopic surveys Ruhlmann-Kleider, Vanina Yèche, Christophe Magneville, Christophe Coquinot, Henri Armengaud, Eric Palanque-Delabrouille, Nathalie Raichoor, Anand Aguilar, Jessica Nicole Ahlen, Steven Arnouts, Stéphane Brooks, David Chaussidon, Edmond Claybaugh, Todd Dawson, Kyle de la Macorra, Axel Dey, Arjun Dey, Biprateep Doel, Peter Fanning, Kevin Ferraro, Simone Forero-Romero, Jaime E. Gontcho, Satya Gontcho A Gutierrez, Gaston Gwyn, Stephen Honscheid, Klaus Juneau, Stephanie Kehoe, Robert Kisner, Theodore Kremin, Anthony Lambert, Andrew Landriau, Martin Guillou, Laurent Le Levi, Michael E. Manera, Marc Martini, Paul Meisner, Aaron Miquel, Ramon Moustakas, John Mueller, Eva-Maria Muñoz-Gutiérrez, Andrea Newman, Jeffrey A. Nie, Jundan Niz, Gustavo Payerne, Constantin Picouet, Vincent Ravoux, Corentin Rezaie, Mehdi Rossi, Graziano Sanchez, Eusebio Sawicki, Marcin Schlafly, Edward F. Schlegel, David Schubnell, Michael Seo, Hee-Jong Silber, Joseph Sprayberry, David Taran, Julien Tarlé, Gregory Weaver, Benjamin A. White, Martin Wilson, Michael J. Zhou, Zhimin Zou, Hu Cosmology and Nongalactic Astrophysics Lyman break galaxies (LBGs) are promising probes for clustering measurements at high redshift, $z>2$, a region only covered so far by Lyman-$α$ 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 $g,r,z$ and $u$ 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 $57\%$ of the observed targets after spectroscopic confirmation with DESI, and provide an efficiency for LBGs of $83\pm3\%$, for a purity of the selected LBG sample of $90\pm2\%$. This would deliver a confirmed LBG density of $\sim 620$ deg$^{-2}$ in the range $2.3<z<3.5$ for a $r$-band limiting magnitude $r<24.2$. Selections optimised for high redshift efficiency retain $73\%$ of the observed targets after spectroscopic confirmation, with $89\pm4\%$ efficiency for $97\pm2\%$ purity. This would provide a confirmed LBG density of $\sim 470$ deg$^{-2}$ in the range $2.8<z<3.5$ for a $r$-band limiting magnitude $r<24.5$. A preliminary study of the LBG sample 3d-clustering properties is also presented and used to estimate the LBG linear bias. A value of $b_{LBG} = 3.3 \pm 0.2 (stat.)$ is obtained for a mean redshift of 2.9 and a limiting magnitude in $r$ of 24.2, in agreement with results reported in the literature. |
| title | High redshift LBGs from deep broadband imaging for future spectroscopic surveys |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2404.03569 |