Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys
ABSTRACT The quasar target selection for the upcoming survey of the Dark Energy Spectroscopic Instrument (DESI) will be fixed for the next 5 yr. The aim of this work is to validate the quasar selection by studying the impact of imaging systematics as well as stellar and galactic contaminants, and to...
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creator | Chaussidon, Edmond Yèche, Christophe Palanque-Delabrouille, Nathalie de Mattia, Arnaud Myers, Adam D Rezaie, Mehdi Ross, Ashley J Seo, Hee-Jong Brooks, David Gaztañaga, Enrique Kehoe, Robert Levi, Michael E Newman, Jeffrey A Tarlé, Gregory Zhang, Kai |
description | ABSTRACT
The quasar target selection for the upcoming survey of the Dark Energy Spectroscopic Instrument (DESI) will be fixed for the next 5 yr. The aim of this work is to validate the quasar selection by studying the impact of imaging systematics as well as stellar and galactic contaminants, and to develop a procedure to mitigate them. Density fluctuations of quasar targets are found to be related to photometric properties such as seeing and depth of the Data Release 9 of the DESI Legacy Imaging Surveys. To model this complex relation, we explore machine learning algorithms (random forest and multilayer perceptron) as an alternative to the standard linear regression. Splitting the footprint of the Legacy Imaging Surveys into three regions according to photometric properties, we perform an independent analysis in each region, validating our method using extended Baryon Oscillation Spectroscopic Survey (eBOSS) EZ-mocks. The mitigation procedure is tested by comparing the angular correlation of the corrected target selection on each photometric region to the angular correlation function obtained using quasars from the Sloan Digital Sky Survey (SDSS) Data Release 16. With our procedure, we recover a similar level of correlation between DESI quasar targets and SDSS quasars in two-thirds of the total footprint and we show that the excess of correlation in the remaining area is due to a stellar contamination that should be removed with DESI spectroscopic data. We derive the Limber parameters in our three imaging regions and compare them to previous measurements from SDSS and the 2dF QSO Redshift Survey. |
doi_str_mv | 10.1093/mnras/stab3252 |
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The quasar target selection for the upcoming survey of the Dark Energy Spectroscopic Instrument (DESI) will be fixed for the next 5 yr. The aim of this work is to validate the quasar selection by studying the impact of imaging systematics as well as stellar and galactic contaminants, and to develop a procedure to mitigate them. Density fluctuations of quasar targets are found to be related to photometric properties such as seeing and depth of the Data Release 9 of the DESI Legacy Imaging Surveys. To model this complex relation, we explore machine learning algorithms (random forest and multilayer perceptron) as an alternative to the standard linear regression. Splitting the footprint of the Legacy Imaging Surveys into three regions according to photometric properties, we perform an independent analysis in each region, validating our method using extended Baryon Oscillation Spectroscopic Survey (eBOSS) EZ-mocks. The mitigation procedure is tested by comparing the angular correlation of the corrected target selection on each photometric region to the angular correlation function obtained using quasars from the Sloan Digital Sky Survey (SDSS) Data Release 16. With our procedure, we recover a similar level of correlation between DESI quasar targets and SDSS quasars in two-thirds of the total footprint and we show that the excess of correlation in the remaining area is due to a stellar contamination that should be removed with DESI spectroscopic data. We derive the Limber parameters in our three imaging regions and compare them to previous measurements from SDSS and the 2dF QSO Redshift Survey.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stab3252</identifier><language>eng</language><publisher>United Kingdom: Oxford University Press</publisher><subject>ASTRONOMY AND ASTROPHYSICS ; Astrophysics ; cosmology ; dark energy ; data analysis ; Data Analysis, Statistics and Probability ; Instrumentation and Detectors ; large scale structure of Universe ; observations ; Physics ; surveys</subject><ispartof>Mon.Not.Roy.Astron.Soc, 2022-01, Vol.509 (3), p.3904-3923</ispartof><rights>2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society 2021</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-912668b5a58ba662740ae35dafdc1d397f09b87416c18b7fed84e024b6309b8e3</citedby><cites>FETCH-LOGICAL-c334t-912668b5a58ba662740ae35dafdc1d397f09b87416c18b7fed84e024b6309b8e3</cites><orcidid>0000-0001-8996-4874 ; 0000-0002-6588-3508 ; 0000-0001-5589-7116 ; 0000-0002-0068-8197 ; 0000-0002-6758-2186 ; 0000000189964874 ; 0000000155897116 ; 0000000265883508</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1598,27903,27904</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/mnras/stab3252$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://hal.science/hal-03327411$$DView record in HAL$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1834211$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Chaussidon, Edmond</creatorcontrib><creatorcontrib>Yèche, Christophe</creatorcontrib><creatorcontrib>Palanque-Delabrouille, Nathalie</creatorcontrib><creatorcontrib>de Mattia, Arnaud</creatorcontrib><creatorcontrib>Myers, Adam D</creatorcontrib><creatorcontrib>Rezaie, Mehdi</creatorcontrib><creatorcontrib>Ross, Ashley J</creatorcontrib><creatorcontrib>Seo, Hee-Jong</creatorcontrib><creatorcontrib>Brooks, David</creatorcontrib><creatorcontrib>Gaztañaga, Enrique</creatorcontrib><creatorcontrib>Kehoe, Robert</creatorcontrib><creatorcontrib>Levi, Michael E</creatorcontrib><creatorcontrib>Newman, Jeffrey A</creatorcontrib><creatorcontrib>Tarlé, Gregory</creatorcontrib><creatorcontrib>Zhang, Kai</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><creatorcontrib>Univ. of Wyoming, Laramie, WY (United States)</creatorcontrib><title>Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys</title><title>Mon.Not.Roy.Astron.Soc</title><description>ABSTRACT
The quasar target selection for the upcoming survey of the Dark Energy Spectroscopic Instrument (DESI) will be fixed for the next 5 yr. The aim of this work is to validate the quasar selection by studying the impact of imaging systematics as well as stellar and galactic contaminants, and to develop a procedure to mitigate them. Density fluctuations of quasar targets are found to be related to photometric properties such as seeing and depth of the Data Release 9 of the DESI Legacy Imaging Surveys. To model this complex relation, we explore machine learning algorithms (random forest and multilayer perceptron) as an alternative to the standard linear regression. Splitting the footprint of the Legacy Imaging Surveys into three regions according to photometric properties, we perform an independent analysis in each region, validating our method using extended Baryon Oscillation Spectroscopic Survey (eBOSS) EZ-mocks. The mitigation procedure is tested by comparing the angular correlation of the corrected target selection on each photometric region to the angular correlation function obtained using quasars from the Sloan Digital Sky Survey (SDSS) Data Release 16. With our procedure, we recover a similar level of correlation between DESI quasar targets and SDSS quasars in two-thirds of the total footprint and we show that the excess of correlation in the remaining area is due to a stellar contamination that should be removed with DESI spectroscopic data. We derive the Limber parameters in our three imaging regions and compare them to previous measurements from SDSS and the 2dF QSO Redshift Survey.</description><subject>ASTRONOMY AND ASTROPHYSICS</subject><subject>Astrophysics</subject><subject>cosmology</subject><subject>dark energy</subject><subject>data analysis</subject><subject>Data Analysis, Statistics and Probability</subject><subject>Instrumentation and Detectors</subject><subject>large scale structure of Universe</subject><subject>observations</subject><subject>Physics</subject><subject>surveys</subject><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkEtPwzAQhC0EEqVw5Wxx45DWj8RJjlVbaKVIFRTOluNs0qA0jmynUv89DeVx5LTS7Dezq0HonpIJJSmf7lur3NR5lXMWsQs0olxEAUuFuEQjQngUJDGl1-jGuQ9CSMiZGCE5a6u-URbrpncebN1WuLOmA-trcNiU2O8AL5bbNX7ZbrBXtgKPHTSgfW1a3LvBsXhNcQaV0ke83qtqkLa9PcDR3aKrUjUO7r7nGL0_Ld_mqyDbPK_nsyzQnIc-SCkTIskjFSW5EoLFIVHAo0KVhaYFT-OSpHkSh1RomuRxCUUSAmFhLviwAD5GD-dc43wtna496J02bXv6U9KEh4zSE_R4hnaqkZ2t98oepVG1XM0yOWiE89NpSg8DOzmz2hrnLJS_Bkrk0Lf86lv-9P0XbvruP_YTA3aCgA</recordid><startdate>20220101</startdate><enddate>20220101</enddate><creator>Chaussidon, Edmond</creator><creator>Yèche, Christophe</creator><creator>Palanque-Delabrouille, Nathalie</creator><creator>de Mattia, Arnaud</creator><creator>Myers, Adam D</creator><creator>Rezaie, Mehdi</creator><creator>Ross, Ashley J</creator><creator>Seo, Hee-Jong</creator><creator>Brooks, David</creator><creator>Gaztañaga, Enrique</creator><creator>Kehoe, Robert</creator><creator>Levi, Michael E</creator><creator>Newman, Jeffrey A</creator><creator>Tarlé, Gregory</creator><creator>Zhang, Kai</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0001-8996-4874</orcidid><orcidid>https://orcid.org/0000-0002-6588-3508</orcidid><orcidid>https://orcid.org/0000-0001-5589-7116</orcidid><orcidid>https://orcid.org/0000-0002-0068-8197</orcidid><orcidid>https://orcid.org/0000-0002-6758-2186</orcidid><orcidid>https://orcid.org/0000000189964874</orcidid><orcidid>https://orcid.org/0000000155897116</orcidid><orcidid>https://orcid.org/0000000265883508</orcidid></search><sort><creationdate>20220101</creationdate><title>Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys</title><author>Chaussidon, Edmond ; Yèche, Christophe ; Palanque-Delabrouille, Nathalie ; de Mattia, Arnaud ; Myers, Adam D ; Rezaie, Mehdi ; Ross, Ashley J ; Seo, Hee-Jong ; Brooks, David ; Gaztañaga, Enrique ; Kehoe, Robert ; Levi, Michael E ; Newman, Jeffrey A ; Tarlé, Gregory ; Zhang, Kai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-912668b5a58ba662740ae35dafdc1d397f09b87416c18b7fed84e024b6309b8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>ASTRONOMY AND ASTROPHYSICS</topic><topic>Astrophysics</topic><topic>cosmology</topic><topic>dark energy</topic><topic>data analysis</topic><topic>Data Analysis, Statistics and Probability</topic><topic>Instrumentation and Detectors</topic><topic>large scale structure of Universe</topic><topic>observations</topic><topic>Physics</topic><topic>surveys</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chaussidon, Edmond</creatorcontrib><creatorcontrib>Yèche, Christophe</creatorcontrib><creatorcontrib>Palanque-Delabrouille, Nathalie</creatorcontrib><creatorcontrib>de Mattia, Arnaud</creatorcontrib><creatorcontrib>Myers, Adam D</creatorcontrib><creatorcontrib>Rezaie, Mehdi</creatorcontrib><creatorcontrib>Ross, Ashley J</creatorcontrib><creatorcontrib>Seo, Hee-Jong</creatorcontrib><creatorcontrib>Brooks, David</creatorcontrib><creatorcontrib>Gaztañaga, Enrique</creatorcontrib><creatorcontrib>Kehoe, Robert</creatorcontrib><creatorcontrib>Levi, Michael E</creatorcontrib><creatorcontrib>Newman, Jeffrey A</creatorcontrib><creatorcontrib>Tarlé, Gregory</creatorcontrib><creatorcontrib>Zhang, Kai</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. 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The quasar target selection for the upcoming survey of the Dark Energy Spectroscopic Instrument (DESI) will be fixed for the next 5 yr. The aim of this work is to validate the quasar selection by studying the impact of imaging systematics as well as stellar and galactic contaminants, and to develop a procedure to mitigate them. Density fluctuations of quasar targets are found to be related to photometric properties such as seeing and depth of the Data Release 9 of the DESI Legacy Imaging Surveys. To model this complex relation, we explore machine learning algorithms (random forest and multilayer perceptron) as an alternative to the standard linear regression. Splitting the footprint of the Legacy Imaging Surveys into three regions according to photometric properties, we perform an independent analysis in each region, validating our method using extended Baryon Oscillation Spectroscopic Survey (eBOSS) EZ-mocks. The mitigation procedure is tested by comparing the angular correlation of the corrected target selection on each photometric region to the angular correlation function obtained using quasars from the Sloan Digital Sky Survey (SDSS) Data Release 16. With our procedure, we recover a similar level of correlation between DESI quasar targets and SDSS quasars in two-thirds of the total footprint and we show that the excess of correlation in the remaining area is due to a stellar contamination that should be removed with DESI spectroscopic data. We derive the Limber parameters in our three imaging regions and compare them to previous measurements from SDSS and the 2dF QSO Redshift Survey.</abstract><cop>United Kingdom</cop><pub>Oxford University Press</pub><doi>10.1093/mnras/stab3252</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-8996-4874</orcidid><orcidid>https://orcid.org/0000-0002-6588-3508</orcidid><orcidid>https://orcid.org/0000-0001-5589-7116</orcidid><orcidid>https://orcid.org/0000-0002-0068-8197</orcidid><orcidid>https://orcid.org/0000-0002-6758-2186</orcidid><orcidid>https://orcid.org/0000000189964874</orcidid><orcidid>https://orcid.org/0000000155897116</orcidid><orcidid>https://orcid.org/0000000265883508</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | ASTRONOMY AND ASTROPHYSICS Astrophysics cosmology dark energy data analysis Data Analysis, Statistics and Probability Instrumentation and Detectors large scale structure of Universe observations Physics surveys |
title | Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys |
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