Colección SciELO Chile

Departamento Gestión de Conocimiento, Monitoreo y Prospección
Consultas o comentarios: productividad@anid.cl
Búsqueda Publicación
Búsqueda por Tema Título, Abstract y Keywords



Gaia-ESO survey: Massive stars in the Carina Nebula II. The spectroscopic analysis of the O-star population
Indexado
WoS WOS:001452628700001
Scopus SCOPUS_ID:105001877730
DOI 10.1051/0004-6361/202453269
Año 2025
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Context. The new census of massive stars in the Carina Nebula reveals the presence of 54 apparently single O-type stars in the Car OB1 association, an extremely active star-forming region that hosts some of the most luminous stars of the Milky Way. A detailed spectroscopic analysis of the current most complete sample of O-type stars in the association can be used to inspect the main physical properties of cluster members and test evolutionary and stellar atmosphere models. Aims. Our aim is to carry out a spectroscopic characterization of the census of the apparently single (actual single or SB1) O-type stars in Car OB1, obtaining a reliable distribution of rotational velocities and stellar parameters from high-resolution spectra from the Gaia-ESO survey (GES) and the LiLiMaRlin library database, which is itself fed by spectroscopic surveys such as the high-resolution spectroscopic monitoring survey of Southern Galactic O- and WN-type stars (OWN), the high-resolution, multi-epoch project of Galactic OB stars (IACOB), the northern massive dim stars survey (NoMaDS), and the Calar Alto fiber-fed echelle - binary evolution Andalusian northern survey (CAF & Eacute;-BEANS). Methods. To derive rotational velocities, we used the semi-automatized tool for the line-broadening characterization of OB stars (iacob-broad) which is based on a combined Fourier transform and the goodness-of-fit methodology. To derive the stellar parameters, we used the iacob-gbat tool, FASTWIND stellar models, and astrometry provided by the Gaia third data release. The BONNSAI tool was used to compute evolutionary masses and ages. Results. We performed quantitative spectroscopic analysis for the most complete sample of apparently single O-type stars in Car OB1 with available spectroscopic data. From the high-resolution GES and OWN spectra, we obtain a reliable distribution of rotational velocities for a sample of 37 O-type stars. It shows a bimodal structure with a low velocity peak at 60 km s(-1) and a short tail of fast rotators reaching 320 km s(-1). We also performed a quantitative spectroscopic analysis and derived effective temperature, surface gravity, and He abundance for a sample of 47 O-type stars, now including further stars from the GOSSS database. Radii, luminosities, and spectroscopic masses were also determined using Gaia astrometry. We created the Hertzsprung-Russell diagram to inspect the evolutionary status of the region and confirm the lack of stars close to the zero-age main sequence (ZAMS) from similar to 35-55 M-circle dot. We confirm a very young population with an age distribution peaking at 1 Myr, with some stars close to or even on the ZAMS, and a secondary peak at 4-5 Myr in the age distribution. We confirm the youth of Trumpler 14, which is also the only cluster not showing the secondary peak. We also find a clear trend of evolutionary masses higher than derived spectroscopic masses for stars with an evolutionary mass below 40 M-circle dot .

Revista



Revista ISSN
Astronomy & Astrophysics 0004-6361

Métricas Externas



PlumX Altmetric Dimensions

Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:

Disciplinas de Investigación



WOS
Astronomy & Astrophysics
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

Muestra la distribución de disciplinas para esta publicación.

Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



Muestra la distribución de colaboración, tanto nacional como extranjera, generada en esta publicación.


Autores - Afiliación



Ord. Autor Género Institución - País
1 Berlanas, S. R. - Inst Astrofis Canarias - España
UNIV LA LAGUNA - España
Instituto Astrofisico de Canarias - España
Universidad de La Laguna - España
2 Mahy, L. Hombre Royal Observ Belgium - Bélgica
Royal Observatory of Belgium - Bélgica
3 Herrero, Artemio Hombre Inst Astrofis Canarias - España
UNIV LA LAGUNA - España
Instituto Astrofisico de Canarias - España
Universidad de La Laguna - España
4 Maiz Apellaniz, J. Hombre CSIC - España
CSIC-INTA - Centro de Astrobiología (CAB) - España
5 Blomme, R. Hombre Royal Observ Belgium - Bélgica
Royal Observatory of Belgium - Bélgica
6 Comeron, Fernando Hombre ESO - Alemania
Observatorio Europeo Austral - Alemania
7 Negueruela, Ignacio Hombre Univ Alicante - España
Universitat d'Alacant - España
8 Molina Lera, J. A. - UBA - Argentina
Instituto de Astronomía y Física del Espacio - Argentina
9 Pantaleoni Gonzalez, M. - Univ Vienna - Austria
Universität Wien - Austria
10 Daflon, S. Mujer Observ Nacl ON MCTI - Brasil
Observatório Nacional - Brasil
11 Santos, W. - Observ Nacl ON MCTI - Brasil
Univ Estadual Santa Cruz UESC - Brasil
Observatório Nacional - Brasil
Universidade Estadual de Santa Cruz - Brasil
12 Kalari, Venu M. - Observatorio Gemini - Chile
Gemini ObservatorySouthern Operations Center - Chile

Muestra la afiliación y género (detectado) para los co-autores de la publicación.

Financiamiento



Fuente
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Ministerio de Ciencia e Innovación
European Science foundation
European Research Council
Federación Española de Enfermedades Raras
Consejo Superior de Investigaciones Científicas
ESO
UK Science and Technology Facilities Council
Science and Technology Facilities Council
INAF
Consejo Superior de Investigaciones Cientificas (CSIC)
Secretaria de Estado de Investigacion, Desarrollo e Innovacion
Ministero dell’Istruzione, dell’Università e della Ricerca
Leverhulme Trust
Ministerio da Ciencia, Tecnologia e Inovacao
European Space Agency
Agencia Estatal de Investigación
MCIU
Istituto Nazionale di Astrofisica
European Union FP7 programme through ERC
ESF (European Science Foundation) through the GREAT Research Network Programme
Spanish Government Ministerio de Ciencia, Innovacion y Universidades
European Union FP7
Gaia Multilateral Agreement
Gaia-ESO Survey Data Archive
Gaia Data Processing and Analysis Consortium
Cambridge Astronomy Survey Unit
ESO Telescopes at the La Silla Paranal Observatory under programme
Spanish Government Ministerio de Ciencia e Innovación
Ministerio de Universidades
Spanish Ministry of Science and Innovation (MICINN) through the Spanish State Research Agency
NextGeneration EU
PRTR
Diabetes Patient Advocacy Coalition
NextGeneration EU/PRTR
European Union NextGenerationEU
MIU
European Union NextGenerationEU and Generalitat Valenciana
Ministero dell' Istruzione, dell' Universita' e della Ricerca (MIUR) in the form of the grant "Premiale VLT 2012"
Severo Ochoa Programme 2020-2024
CNPq/MCTI for grant
Generalitat Valenciana in the call Programa de Planes Complementarios de I+D+i (PRTR 2022)
Spanish Government Ministerio de Ciencia, Innovacion y Universidades and Agencia Estatal de Investigacion (MCIU/AEI)
Project HIAMAS

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
This paper is based on data products from observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 188.B-3002. These data products have been processed by the Cambridge Astronomy Survey Unit (CASU) at the Institute of Astronomy, University of Cambridge, and by the FLAMES/UVES reduction team at INAF/Osservatorio Astrofisico di Arcetri. These data have been obtained from the Gaia-ESO Survey Data Archive, prepared and hosted by the Wide Field Astronomy Unit, Institute for Astronomy, University of Edinburgh, which is funded by the UK Science and Technology Facilities Council. This work was partly supported by the European Union FP7 programme through ERC grant number 320360 and by the Leverhulme Trust through grant RPG-2012-541. We acknowledge the support from INAF and Ministero dell' Istruzione, dell' Universita' e della Ricerca (MIUR) in the form of the grant "Premiale VLT 2012". The results presented here benefit from discussions held during the Gaia-ESO workshops and conferences supported by the ESF (European Science Foundation) through the GREAT Research Network Programme. This work has made use of data from the European Space Agency (ESA) mission Gaia, processed by the Gaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. The Gaia data is processed with the computer resources at Mare Nostrum and the technical support provided by BSC-CNS. S.R.B. and A.H. acknowledge funding from the Spanish Ministry of Science and Innovation (MICINN) through the Spanish State Research Agency through grants PID2021-122397NB-C21, and the Severo Ochoa Programme 2020-2024 (CEX2019-000920-S). S.R.B. also acknowledges financial support by NextGeneration EU/PRTR and MIU (UNI/551/2021) trough grant Margarita Salas-ULL. A.H. acknowledges ESO for its hospitality during his stay as Unpaid Associate in 2022. I.N. is partially supported by the Spanish Government Ministerio de Ciencia, Innovacion y Universidades and Agencia Estatal de Investigacion (MCIU/AEI/10.130 39/501 100 011 033/FEDER, UE) under grant PID2021-122397NB-C22, and by MCIU with funding from the European Union NextGenerationEU and Generalitat Valenciana in the call Programa de Planes Complementarios de I+D+i (PRTR 2022), project HIAMAS, reference ASFAE/2022/017, and NextGeneration EU/PRTR. S.D. acknowledges CNPq/MCTI for grant 306859/2022-0. J.M.A. and M.P.G. acknowledge support from the Spanish Government Ministerio de Ciencia e Innovacion through grants PGC2018-095 049-B-C22 and PID2022-136640NB-C22 and from the Consejo Superior de Investigaciones Cientificas (CSIC) through grant 2022-AEP005.
This paper is based on data products from observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 188.B-3002. These data products have been processed by the Cambridge Astronomy Survey Unit (CASU) at the Institute of Astronomy, University of Cambridge, and by the FLAMES/UVES reduction team at INAF/Osservatorio Astrofisico di Arcetri. These data have been obtained from the Gaia-ESO Survey Data Archive, prepared and hosted by the Wide Field Astronomy Unit, Institute for Astronomy, University of Edinburgh, which is funded by the UK Science and Technology Facilities Council. This work was partly supported by the European Union FP7 programme through ERC grant number 320360 and by the Leverhulme Trust through grant RPG-2012-541. We acknowledge the support from INAF and Ministero dell\u2019 Istruzione, dell\u2019 Universit\u00E0\u2019 e della Ricerca (MIUR) in the form of the grant \u201CPremiale VLT 2012\u201D. The results presented here benefit from discussions held during the Gaia-ESO workshops and conferences supported by the ESF (European Science Foundation) through the GREAT Research Network Programme. This work has made use of data from the European Space Agency (ESA) mission Gaia, processed by the Gaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. The Gaia data is processed with the computer resources at Mare Nostrum and the technical support provided by BSC-CNS. S.R.B. and A.H. acknowledge funding from the Spanish Ministry of Science and Innovation (MICINN) through the Spanish State Research Agency through grants PID2021-122397NB-C21, and the Severo Ochoa Programme 2020-2024 (CEX2019-000920-S). S.R.B. also acknowledges financial support by NextGeneration EU/PRTR and MIU (UNI/551/2021) trough grant Margarita Salas-ULL. A.H. acknowledges ESO for its hospitality during his stay as Unpaid Associate in 2022. I.N. is partially supported by the Spanish Government Ministerio de Ciencia, Innovaci\u00F3n y Universidades and Agencia Estatal de Investigaci\u00F3n (MCIU/AEI/10.130 39/501 100 011 033/FEDER, UE) under grant PID2021-122397NB-C22, and by MCIU with funding from the European Union NextGenerationEU and Generalitat Valenciana in the call Programa de Planes Complementarios de I+D+i (PRTR 2022), project HIAMAS, reference ASFAE/2022/017, and NextGeneration EU/PRTR. S.D. acknowledges CNPq/MCTI for grant 306859/2022-0. J.M.A. and M.P.G. acknowledge support from the Spanish Government Ministerio de Ciencia e Innovaci\u00F3n through grants PGC2018-095 049-B-C22 and PID2022-136 640 NB-C22 and from the Consejo Superior de Investigaciones Cient\u00EDficas (CSIC) through grant 2022-AEP 005.
This paper is based on data products from observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 188.B-3002. These data products have been processed by the Cambridge Astronomy Survey Unit (CASU) at the Institute of Astronomy, University of Cambridge, and by the FLAMES/UVES reduction team at INAF/Osservatorio Astrofisico di Arcetri. These data have been obtained from the Gaia-ESO Survey Data Archive, prepared and hosted by the Wide Field Astronomy Unit, Institute for Astronomy, University of Edinburgh, which is funded by the UK Science and Technology Facilities Council. This work was partly supported by the European Union FP7 programme through ERC grant number 320360 and by the Leverhulme Trust through grant RPG-2012-541. We acknowledge the support from INAF and Ministero dell\u2019 Istruzione, dell\u2019 Universit\u00E0\u2019 e della Ricerca (MIUR) in the form of the grant \u201CPremiale VLT 2012\u201D. The results presented here benefit from discussions held during the Gaia-ESO workshops and conferences supported by the ESF (European Science Foundation) through the GREAT Research Network Programme. This work has made use of data from the European Space Agency (ESA) mission Gaia, processed by the Gaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. The Gaia data is processed with the computer resources at Mare Nostrum and the technical support provided by BSC-CNS. S.R.B. and A.H. acknowledge funding from the Spanish Ministry of Science and Innovation (MICINN) through the Spanish State Research Agency through grants PID2021-122397NB-C21, and the Severo Ochoa Programme 2020-2024 (CEX2019-000920-S). S.R.B. also acknowledges financial support by NextGeneration EU/PRTR and MIU (UNI/551/2021) trough grant Margarita Salas-ULL. A.H. acknowledges ESO for its hospitality during his stay as Unpaid Associate in 2022. I.N. is partially supported by the Spanish Government Ministerio de Ciencia, Innovaci\u00F3n y Universidades and Agencia Estatal de Investigaci\u00F3n (MCIU/AEI/10.130 39/501 100 011 033/FEDER, UE) under grant PID2021-122397NB-C22, and by MCIU with funding from the European Union NextGenerationEU and Generalitat Valenciana in the call Pro- grama de Planes Complementarios de I+D+i (PRTR 2022), project HIAMAS, reference ASFAE/2022/017, and NextGeneration EU/PRTR. S.D. acknowledges CNPq/MCTI for grant 306859/2022-0. J.M.A. and M.P.G. acknowledge support from the Spanish Government Ministerio de Ciencia e Innovaci\u00F3n through grants PGC2018-095 049-B-C22 and PID2022-136 640 NB-C22 and from the Consejo Superior de Investigaciones Cient\u00EDficas (CSIC) through grant 2022-AEP 005.

Muestra la fuente de financiamiento declarada en la publicación.