SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues

We present the MaNGA PyMorph photometric Value Added Catalogue (MPP-VAC-DR17) and the MaNGA Deep Learning Morphological VAC (MDLM-VAC-DR17) for the final data release of the MaNGA survey, which is part of the SDSS Data Release 17 (DR17). The MPP-VAC-DR17 provides photometric parameters from Sérsic a...

Descripción completa

Detalles Bibliográficos
Autores: Domínguez Sánchez, Helena, Margalef-Bentabol, Berta, Bernardi, Mariangela, Huertas-Company, M.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/270905
Acceso en línea:http://hdl.handle.net/10261/270905
Access Level:acceso abierto
Palabra clave:Catalogues
Surveys
Galaxies: disc
Galaxies: elliptical
Lenticular
cD
Galaxies: photometry
Galaxies: structure
id ES_bd42d0c53a085a04bce3edeb20efd4e2
oai_identifier_str oai:digital.csic.es:10261/270905
network_acronym_str ES
network_name_str España
repository_id_str
spelling SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological cataloguesDomínguez Sánchez, HelenaMargalef-Bentabol, BertaBernardi, MariangelaHuertas-Company, M.CataloguesSurveysGalaxies: discGalaxies: ellipticalLenticularcDGalaxies: photometryGalaxies: structureWe present the MaNGA PyMorph photometric Value Added Catalogue (MPP-VAC-DR17) and the MaNGA Deep Learning Morphological VAC (MDLM-VAC-DR17) for the final data release of the MaNGA survey, which is part of the SDSS Data Release 17 (DR17). The MPP-VAC-DR17 provides photometric parameters from Sérsic and Sérsic+Exponential fits to the two-dimensional surface brightness profiles of the MaNGA DR17 galaxy sample in the g, r, and i bands (e.g. total fluxes, half-light radii, bulge-disc fractions, ellipticities, position angles, etc.). The MDLM-VAC-DR17 provides deep-learning-based morphological classifications for the same galaxies. The MDLM-VAC-DR17 includes a number of morphological properties, for example, a T-Type, a finer separation between elliptical and S0, as well as the identification of edge-on and barred galaxies. While the MPP-VAC-DR17 simply extends the MaNGA PyMorph photometric VAC published in the SDSS Data Release 15 (MPP-VAC-DR15) to now include galaxies that were added to make the final DR17, the MDLM-VAC-DR17 implements some changes and improvements compared to the previous release (MDLM-VAC-DR15): Namely, the low end of the T-Types is better recovered in this new version. The catalogue also includes a separation between early or late type, which classifies the two populations in a complementary way to the T-Type, especially at the intermediate types (-1 < T-Type < 2), where the T-Type values show a large scatter. In addition, k-fold-based uncertainties on the classifications are also provided. To ensure robustness and reliability, we have also visually inspected all the images. We describe the content of the catalogues and show some interesting ways in which they can be combined.The authors thank the referee for useful comments, which helped to improve the quality of the paper. This work was supported in part by NSF AST-1816330. HDS acknowledges support from PIE2018-50E099 project: Cross-field research in space sciences. The authors gratefully acknowledge the computer resources at Artemisa, funded by the European Union ERDF and Comunitat Valenciana as well as the technical support provided by the Instituto de Física Corpuscular, IFIC (CSIC-UV).Royal Astronomical SocietyNational Science Foundation (US)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220212022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/270905reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésThe underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1093/mnras/stab3089http://doi.org/10.1093/mnras/stab3089Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2709052026-05-22T06:33:51Z
dc.title.none.fl_str_mv SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
title SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
spellingShingle SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
Domínguez Sánchez, Helena
Catalogues
Surveys
Galaxies: disc
Galaxies: elliptical
Lenticular
cD
Galaxies: photometry
Galaxies: structure
title_short SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
title_full SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
title_fullStr SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
title_full_unstemmed SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
title_sort SDSS-IV DR17: Final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
dc.creator.none.fl_str_mv Domínguez Sánchez, Helena
Margalef-Bentabol, Berta
Bernardi, Mariangela
Huertas-Company, M.
author Domínguez Sánchez, Helena
author_facet Domínguez Sánchez, Helena
Margalef-Bentabol, Berta
Bernardi, Mariangela
Huertas-Company, M.
author_role author
author2 Margalef-Bentabol, Berta
Bernardi, Mariangela
Huertas-Company, M.
author2_role author
author
author
dc.contributor.none.fl_str_mv National Science Foundation (US)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Catalogues
Surveys
Galaxies: disc
Galaxies: elliptical
Lenticular
cD
Galaxies: photometry
Galaxies: structure
topic Catalogues
Surveys
Galaxies: disc
Galaxies: elliptical
Lenticular
cD
Galaxies: photometry
Galaxies: structure
description We present the MaNGA PyMorph photometric Value Added Catalogue (MPP-VAC-DR17) and the MaNGA Deep Learning Morphological VAC (MDLM-VAC-DR17) for the final data release of the MaNGA survey, which is part of the SDSS Data Release 17 (DR17). The MPP-VAC-DR17 provides photometric parameters from Sérsic and Sérsic+Exponential fits to the two-dimensional surface brightness profiles of the MaNGA DR17 galaxy sample in the g, r, and i bands (e.g. total fluxes, half-light radii, bulge-disc fractions, ellipticities, position angles, etc.). The MDLM-VAC-DR17 provides deep-learning-based morphological classifications for the same galaxies. The MDLM-VAC-DR17 includes a number of morphological properties, for example, a T-Type, a finer separation between elliptical and S0, as well as the identification of edge-on and barred galaxies. While the MPP-VAC-DR17 simply extends the MaNGA PyMorph photometric VAC published in the SDSS Data Release 15 (MPP-VAC-DR15) to now include galaxies that were added to make the final DR17, the MDLM-VAC-DR17 implements some changes and improvements compared to the previous release (MDLM-VAC-DR15): Namely, the low end of the T-Types is better recovered in this new version. The catalogue also includes a separation between early or late type, which classifies the two populations in a complementary way to the T-Type, especially at the intermediate types (-1 < T-Type < 2), where the T-Type values show a large scatter. In addition, k-fold-based uncertainties on the classifications are also provided. To ensure robustness and reliability, we have also visually inspected all the images. We describe the content of the catalogues and show some interesting ways in which they can be combined.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
2022
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
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/270905
url http://hdl.handle.net/10261/270905
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1093/mnras/stab3089
http://doi.org/10.1093/mnras/stab3089
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Royal Astronomical Society
publisher.none.fl_str_mv Royal Astronomical Society
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418186172006400
score 15.81155

Similares en LA Referencia