The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75

We present the Lyman-α (Lyα) luminosity function (LF) at 2.05 < z < 3.75, estimated from a sample of 67 Lyα-emitter (LAE) candidates in the Javalambre Physics of the Accelerating Universe Astronomical Survey (J-PAS) pathfinder surveys: miniJPAS and J-NEP. These two surveys cover a total effect...

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Autores: Torralba-Torregrosa, Alberto, Gurung-López, Siddhartha, Arnalte-Mur, P., Spinoso, Daniele, Izquierdo-Villalba, D., Fernández-Soto, Alberto, Angulo, R. E., Bonoli, Silvia, González Delgado, Rosa M., Márquez, Isabel, Martínez, Vicente J., Rahna, P. T., Vílchez Medina, José Manuel, Abramo, L. R., Alcaniz, Jailson, Benítez, Narciso, Carneiro, Saulo, Cenarro, A. J., Cristóbal-Hornillos, David, Dupke, Renato A., Ederoclite, Alessandro, Hernán-Caballero, Antonio, López-Sanjuan, Carlos, Marín-Franch, Antonio, Mendes de Oliveira, Claudia, Moles, Mariano, Sodré Jr., L., Taylor, Keith, Varela, Jesús, Vázquez Ramió, H.
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/350444
Acesso em linha:http://hdl.handle.net/10261/350444
Access Level:Acceso aberto
Palavra-chave:Methods: observational
Quasars: emission lines
Galaxies: luminosity function
Mass function
Galaxies: high-redshift
Line: identification
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oai_identifier_str oai:digital.csic.es:10261/350444
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network_name_str España
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dc.title.none.fl_str_mv The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
title The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
spellingShingle The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
Torralba-Torregrosa, Alberto
Methods: observational
Quasars: emission lines
Galaxies: luminosity function
Mass function
Galaxies: high-redshift
Line: identification
title_short The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
title_full The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
title_fullStr The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
title_full_unstemmed The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
title_sort The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75
dc.creator.none.fl_str_mv Torralba-Torregrosa, Alberto
Gurung-López, Siddhartha
Arnalte-Mur, P.
Spinoso, Daniele
Izquierdo-Villalba, D.
Fernández-Soto, Alberto
Angulo, R. E.
Bonoli, Silvia
González Delgado, Rosa M.
Márquez, Isabel
Martínez, Vicente J.
Rahna, P. T.
Vílchez Medina, José Manuel
Abramo, L. R.
Alcaniz, Jailson
Benítez, Narciso
Carneiro, Saulo
Cenarro, A. J.
Cristóbal-Hornillos, David
Dupke, Renato A.
Ederoclite, Alessandro
Hernán-Caballero, Antonio
López-Sanjuan, Carlos
Marín-Franch, Antonio
Mendes de Oliveira, Claudia
Moles, Mariano
Sodré Jr., L.
Taylor, Keith
Varela, Jesús
Vázquez Ramió, H.
author Torralba-Torregrosa, Alberto
author_facet Torralba-Torregrosa, Alberto
Gurung-López, Siddhartha
Arnalte-Mur, P.
Spinoso, Daniele
Izquierdo-Villalba, D.
Fernández-Soto, Alberto
Angulo, R. E.
Bonoli, Silvia
González Delgado, Rosa M.
Márquez, Isabel
Martínez, Vicente J.
Rahna, P. T.
Vílchez Medina, José Manuel
Abramo, L. R.
Alcaniz, Jailson
Benítez, Narciso
Carneiro, Saulo
Cenarro, A. J.
Cristóbal-Hornillos, David
Dupke, Renato A.
Ederoclite, Alessandro
Hernán-Caballero, Antonio
López-Sanjuan, Carlos
Marín-Franch, Antonio
Mendes de Oliveira, Claudia
Moles, Mariano
Sodré Jr., L.
Taylor, Keith
Varela, Jesús
Vázquez Ramió, H.
author_role author
author2 Gurung-López, Siddhartha
Arnalte-Mur, P.
Spinoso, Daniele
Izquierdo-Villalba, D.
Fernández-Soto, Alberto
Angulo, R. E.
Bonoli, Silvia
González Delgado, Rosa M.
Márquez, Isabel
Martínez, Vicente J.
Rahna, P. T.
Vílchez Medina, José Manuel
Abramo, L. R.
Alcaniz, Jailson
Benítez, Narciso
Carneiro, Saulo
Cenarro, A. J.
Cristóbal-Hornillos, David
Dupke, Renato A.
Ederoclite, Alessandro
Hernán-Caballero, Antonio
López-Sanjuan, Carlos
Marín-Franch, Antonio
Mendes de Oliveira, Claudia
Moles, Mariano
Sodré Jr., L.
Taylor, Keith
Varela, Jesús
Vázquez Ramió, H.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia, Innovación y Universidades (España)
Ministerio de Ciencia e Innovación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Generalitat Valenciana
European Research Council
European Commission
National Key Research and Development Program (China)
National Natural Science Foundation of China
Fondo de Inversiones de Teruel
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Methods: observational
Quasars: emission lines
Galaxies: luminosity function
Mass function
Galaxies: high-redshift
Line: identification
topic Methods: observational
Quasars: emission lines
Galaxies: luminosity function
Mass function
Galaxies: high-redshift
Line: identification
description We present the Lyman-α (Lyα) luminosity function (LF) at 2.05 < z < 3.75, estimated from a sample of 67 Lyα-emitter (LAE) candidates in the Javalambre Physics of the Accelerating Universe Astronomical Survey (J-PAS) pathfinder surveys: miniJPAS and J-NEP. These two surveys cover a total effective area of ∼1.14 deg2 with 54 narrow band (NB) filters (FWHM ∼ 145 Å) across the optical range, with typical limiting magnitudes of ∼23. This set of NBs allowed us to probe Lyα emission in a wide and continuous range of redshifts. We developed a method for detecting Lyα emission for the estimation of the Lyα LF using the whole J-PAS filter set. We tested this method by applying it to the miniJPAS and J-NEP data. In order to compute the corrections needed to estimate the Lyα LF and to test the performance of the candidate selection method, we built mock catalogs. These include representative populations of LAEs at 1.9 < z < 4.5 as well as their expected contaminants, namely low-z galaxies and z < 2 quasi-stellar objects (QSOs). We show that our method is able to provide the Lyα LF at the intermediate-bright range of luminosity (43.5 ≲ log10(LLyα/erg s−1) ≲ 44.5) combining both miniJPAS and J-NEP. The photometric information provided by these surveys suggests that our samples are dominated by bright, Lyα-emitting active galactic nuclei (i.e., AGNs). At log10(LLyα/erg s−1) < 44.5, we fit our Lyα LF to a power law with a slope of A = 0.70 ± 0.25. We also fit a Schechter function to our data, obtaining the following: log10(Φ∗/Mpc−3) = −6.30−0.70+0.48, log10(L∗/erg s−1) = 44.85−0.32+0.50, and α = −1.65−0.27+0.29. Overall, our results confirm the presence of an AGN component at the bright end of the Lyα LF. In particular, we find no significant contribution of star-forming LAEs to the Lyα LF at log10(LLyα/erg s−1) > 43.5. This work serves as a proof of concept for the results that can be obtained with the upcoming data releases of the J-PAS survey.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/350444
url http://hdl.handle.net/10261/350444
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109592GB-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001131-S
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109067GB-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106027GB-C41
https://doi.org/10.1051/0004-6361/202347463

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publisher.none.fl_str_mv EDP Sciences
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instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
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spelling The miniJPAS and J-NEP surveys: Identification and characterization of the Ly α emitter population and the Ly α luminosity function at redshift 2.05 < z < 3.75Torralba-Torregrosa, AlbertoGurung-López, SiddharthaArnalte-Mur, P.Spinoso, DanieleIzquierdo-Villalba, D.Fernández-Soto, AlbertoAngulo, R. E.Bonoli, SilviaGonzález Delgado, Rosa M.Márquez, IsabelMartínez, Vicente J.Rahna, P. T.Vílchez Medina, José ManuelAbramo, L. R.Alcaniz, JailsonBenítez, NarcisoCarneiro, SauloCenarro, A. J.Cristóbal-Hornillos, DavidDupke, Renato A.Ederoclite, AlessandroHernán-Caballero, AntonioLópez-Sanjuan, CarlosMarín-Franch, AntonioMendes de Oliveira, ClaudiaMoles, MarianoSodré Jr., L.Taylor, KeithVarela, JesúsVázquez Ramió, H.Methods: observationalQuasars: emission linesGalaxies: luminosity functionMass functionGalaxies: high-redshiftLine: identificationWe present the Lyman-α (Lyα) luminosity function (LF) at 2.05 < z < 3.75, estimated from a sample of 67 Lyα-emitter (LAE) candidates in the Javalambre Physics of the Accelerating Universe Astronomical Survey (J-PAS) pathfinder surveys: miniJPAS and J-NEP. These two surveys cover a total effective area of ∼1.14 deg2 with 54 narrow band (NB) filters (FWHM ∼ 145 Å) across the optical range, with typical limiting magnitudes of ∼23. This set of NBs allowed us to probe Lyα emission in a wide and continuous range of redshifts. We developed a method for detecting Lyα emission for the estimation of the Lyα LF using the whole J-PAS filter set. We tested this method by applying it to the miniJPAS and J-NEP data. In order to compute the corrections needed to estimate the Lyα LF and to test the performance of the candidate selection method, we built mock catalogs. These include representative populations of LAEs at 1.9 < z < 4.5 as well as their expected contaminants, namely low-z galaxies and z < 2 quasi-stellar objects (QSOs). We show that our method is able to provide the Lyα LF at the intermediate-bright range of luminosity (43.5 ≲ log10(LLyα/erg s−1) ≲ 44.5) combining both miniJPAS and J-NEP. The photometric information provided by these surveys suggests that our samples are dominated by bright, Lyα-emitting active galactic nuclei (i.e., AGNs). At log10(LLyα/erg s−1) < 44.5, we fit our Lyα LF to a power law with a slope of A = 0.70 ± 0.25. We also fit a Schechter function to our data, obtaining the following: log10(Φ∗/Mpc−3) = −6.30−0.70+0.48, log10(L∗/erg s−1) = 44.85−0.32+0.50, and α = −1.65−0.27+0.29. Overall, our results confirm the presence of an AGN component at the bright end of the Lyα LF. In particular, we find no significant contribution of star-forming LAEs to the Lyα LF at log10(LLyα/erg s−1) > 43.5. This work serves as a proof of concept for the results that can be obtained with the upcoming data releases of the J-PAS survey.This work has been funded by project PID2019-109592GBI00/AEI/10.13039/501100011033 from the Spanish Ministerio de Ciencia e Innovación (MCIN)-Agencia Estatal de Investigación, by the Project of Excellence Prometeo/2020/085 from the Conselleria d’Innovació Universitats, Ciència i Societat Digital de la Generalitat Valenciana. The authors acknowledge the financial support from the MCIN with funding from the European Union NextGenerationEU and Generalitat Valenciana in the call Programa de Planes Complementarios de I+D+i (PRTR 2022). Project (VAL-JPAS), reference ASFAE/2022/025. D.S. acknowledges funding from National Key R&D Program of China (grant no. 2018YFA0404503), the National Science Foundation of China (grant no. 12073014), the science research grants from the China Manned Space Project with no. CMS-CSST2021-A05 and Tsinghua University Initiative Scientific Research Program (no. 20223080023). R.G.D. acknowledges financial support from the grant CEX2021-001131-S funded by MCIN/AEI/10.13039/501100011033 and PID2019-109067-GB100. I.M. acknowledges financial support from the Severo Ochoa grant CEX2021- 001131-S funded by MCIN/AEI/10.13039/501100011033 and PID2019-106027GB-C41. Funding for the J-PAS Project has been provided by the Governments of Spain and Aragón through the Fondo de Inversión de Teruel, European FEDER funding and the Spanish Ministry of Science, Innovation and Universities, and by the Brazilian agencies FINEP, FAPESP, FAPERJ and by the National Observatory of Brazil. Additional funding was also provided by the Tartu Observatory and by the J-PAS Chinese Astronomical Consortium. Funding for the Sloan Digital Sky Survey V has been provided by the Alfred P. Sloan Foundation, the HeisingSimons Foundation, the National Science Foundation, and the Participating Institutions. SDSS acknowledges support and resources from the Center for High-Performance Computing at the University of Utah.With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001131-S).Peer reviewedEDP SciencesMinisterio de Ciencia, Innovación y Universidades (España)Ministerio de Ciencia e Innovación (España)Ministerio de Ciencia, Innovación y Universidades (España)Generalitat ValencianaEuropean Research CouncilEuropean CommissionNational Key Research and Development Program (China)National Natural Science Foundation of ChinaFondo de Inversiones de TeruelConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/350444reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109592GB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001131-Sinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109067GB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-106027GB-C41https://doi.org/10.1051/0004-6361/202347463Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3504442026-05-22T06:33:51Z
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