Dataciencia

Colección SciELO Chile

A MaNGA view of isolated galaxy mergers in the star-forming main sequence

Indexado

WoS	WOS:001476794000009
Scopus	SCOPUS_ID:105003895218

DOI

10.1051/0004-6361/202451464

Año

2025

Tipo

artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras

Abstract

Context. There are still many open questions in the complex process of galaxy evolution during interactions, as each stage is characterized by different periods of star formation. Aims. We aim to better understand the processes triggered in galaxies by interactions. We consider low-density environments in which in-situ interaction between the members is the main process that drives evolution. Methods. In this work we carried out an analysis of star-formation and nuclear activity at different stages during a galaxy merger identified in isolated systems (isolated galaxies, isolated pairs, and isolated triplets) using integral field spectroscopy from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) project. We classified galaxies into close pairs, pre-mergers, mergers, and post-mergers (including galaxies with post-starburst spectroscopic features) for a total sample of 137 galaxies. We constrained their star formation history from spectro-photometric SED fitting with Code Investigating GALaxy Emission (CIGALE), and used spatially resolved WHAN diagrams, with other MaNGA data products to explore whether there is any connection between their physical properties and their merging stage. Results. In general, galaxies show characteristic properties intrinsically related to each stage of the merger process. Galaxies in the merger and post-merger stages present higher star-formation activity (measured by their integrated sSFR). In the merger stage, the fraction of strong AGN spaxels is comparable to the fraction of spaxels with pure star-formation emission, with no difference between the AGN activity in close pairs and strongly interacting galaxies with the same stellar mass. Conclusions. Our results support the scenario where galaxy interactions trigger star formation and nuclear activity on galaxies. Nonetheless, the AGN has a minor role in quenching galaxies following a merger, as AGN feedback might not have had sufficient time to inhibit star formation. In addition, we found that the quenching process in post-merger galaxies with post-starburst emission happens outside-in, which is an observational proof of the effect of interactions on the quenching process. The transforming processes after a recent major galaxy interaction may happen slowly in isolated environments, where the system evolves in a common dark matter halo with no perturbation from external galaxies.

Revista

Revista	ISSN
Astronomy & Astrophysics	0004-6361

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Disciplinas de Investigación

WOS
Astronomy & Astrophysics

Scopus
Sin Disciplinas

SciELO
Sin Disciplinas

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

Colaboración Institucional

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Autores - Afiliación

Ord.	Autor	Género	Institución - País
1	Vasquez-Bustos, P.	-	Pontificia Universidad Católica de Valparaíso - Chile UNIV GRANADA - España Universidad de Granada - España
2	ARGUDO-FERNANDEZ, MARIA DEL CARMEN	Mujer	Pontificia Universidad Católica de Valparaíso - Chile UNIV GRANADA - España Universidad de Granada - España Universidad de Granada, Facultad de Ciencias - España
3	Boquien, Mederic	Hombre	Univ Cote dAzur - Francia Observatoire de la Côte d'Azur - Francia
4	Castillo-Baeza, N.	-	Pontificia Universidad Católica de Valparaíso - Chile
5	Castillo-Rencoret, A.	-	Pontificia Universidad Católica de Valparaíso - Chile
6	Ariza-Quintana, D.	-	UNIV GRANADA - España Universidad de Granada - España

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

Financiamiento

Fuente
FONDECYT
National Science Foundation
Fondo Nacional de Desarrollo Científico y Tecnológico
European Regional Development Fund
Junta de Andalucía
gobierno de España
University of Granada
National Aeronautics and Space Administration
Alfred P. Sloan Foundation
U.S. Department of Energy Office of Science
Agence Nationale de la Recherche
Universidad de Granada
California Institute of Technology under NASA
Office of Science
California Institute of Technology
FONDECYT Iniciacion project
Proyecto
Jet Propulsion Laboratory/California Institute of Technology
French government
IPAC
Agencia Nacional de Investigación y Desarrollo
ANID Basal Project
MCIN/AEI
Consejería de Transformación Económica, Industria, Conocimiento y Universidades
DI-PUCV research project
Consejeria de Universidad, Investigacion e Innovacion
Unión Europea - NextGenerationEU
Consejería de Universidad, Investigación e Innovación and Gobierno de España and Unión Europea
Emergia program from Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades
National Research Agency (ANR), Initiative of Excellence of Universit Cpte d'Azur
FEDER/Junta de Andalucia-Consejeria de Transforamcion Economica, Industria, Conocimiento y Universidades/Proyecto
Project of the University of California, Los Angeles
PROTEUS
Unta de Andalucia (Spain)
Institute Carlos I in Granada, Spain
Initiative of Excellence of Universit Côte d’Azur

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos

Agradecimiento
We thank our referee whose valuable comments have certainly contributed to improve and clarify this paper. MAF and PVB acknowledge financial support by the DI-PUCV research project 039.481/2020, the research project PID2023-150178NB-I00 and PID2023-149578NB-I00, financed by MCIN/AEI/10.13039/501100011033, the project A-FQM-510-UGR20 financed from FEDER/Junta de Andalucia-Consejeria de Transforamcion Economica, Industria, Conocimiento y Universidades/Proyecto, by the grants P20_00334 and FQM108, financed by the Junta de Andalucia (Spain), the Emergia program (EMERGIA20_38888) from Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades and University of Granada, and the Grant AST22-4.4, funded by Consejeria de Universidad, Investigacion e Innovacion and Gobierno de Espana and Union Europea - NextGenerationEU. MAF also acknowledges support from FONDECYT iniciacion project 11200107. We are also grateful for the computing resources and related technical support provided by PROTEUS, the supercomputing center of Institute Carlos I in Granada, Spain. MB gratefully acknowledges support from the ANID BASAL project FB210003 and from the FONDECYT regular grant 1211000. This work was supported by the French government through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence of Universit Cpte d'Azur under reference number ANR-15-IDEX-01. This research made use of ASTROPY, a community-developed core PYTHON (http://www.python.org) package for Astronomy (Astropy Collaboration 2013); IPYTHON (Perez & Granger 2007); MATPLOTLIB (Hunter 2007); NUMPY (Walt et al. 2011); SCIPY (Jones et al. 2001); and TOPCAT (Taylor et al. 2005). This research made use of ASTRODENDRO, a Python package to compute dendrograms of Astronomical data (http://www.dendrograms.org/). This research has made use of the NASA/IPAC Extragalactic Database, operated by the Jet Propulsion Laboratory of the California Institute of Technology, uncentract with the National Aeronautics and Space Administration. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III Web site is http://www.sdss3.org/. The SDSS-IV site is http://www/sdss/org. Based on observations made with the NASA Galaxy Evolution Explorer (GALEX). GALEX is operated for NASA by the California Institute of Technology under NASA contract NAS5-98034. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration.
We thank our referee whose valuable comments have certainly contributed to improve and clarify this paper. MAF and PVB acknowledge financial support by the DI-PUCV research project 039.481/2020, the research project PID2023-150178NB-I00 and PID2023-149578NB-I00, financed by MCIN/AEI/10.13039/501100011033, the project A-FQM-510-UGR20 financed from FEDER/Junta de Andaluc\u00EDa-Consejer\u00EDa de Transforamci\u00F3n Econ\u00F3mica, Industria, Conocimiento y Universidades/Proyecto, by the grants P20_00334 and FQM108, financed by the Junta de Andaluc\u00EDa (Spain), the Emergia program (EMERGIA20_38888) from Consejer\u00EDa de Transformaci\u00F3n Econ\u00F3mica, Industria, Conocimiento y Universidades and University of Granada, and the Grant AST22-4.4, funded by Consejer\u00EDa de Universidad, Investigaci\u00F3n e Innovaci\u00F3n and Gobierno de Espa\u00F1a and Uni\u00F3n Europea - NextGenerationEU. MAF also acknowledges support from FONDECYT iniciaci\u00F3n project 11200107. We are also grateful for the computing resources and related technical support provided by PROTEUS, the supercomputing center of Institute Carlos I in Granada, Spain. MB gratefully acknowledges support from the ANID BASAL project FB210003 and from the FONDECYT regular grant 1211000. This work was supported by the French government through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence of Universit C\u00F4te d\u2019Azur under reference number ANR-15-IDEX-01. This research made use of astropy, a community-developed core python (http://www.python.org) package for Astronomy (Astropy Collaboration 2013); ipython (P\u00E9rez & Granger 2007); matplotlib (Hunter 2007); numpy (Walt et al. 2011); scipy (Jones et al. 2001); and topcat (Taylor et al. 2005). This research made use of astrodendro, a Python package to compute dendrograms of Astronomical data (http://www.dendrograms.org/). This research has made use of the NASA/IPAC Extragalactic Database, operated by the Jet Propulsion Laboratory of the California Institute of Technology, un centract with the National Aeronautics and Space Administration. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III Web site is http://www.sdss3.org/. The SDSS-IV site is http://www/sdss/org. Based on observations made with the NASA Galaxy Evolution Explorer (GALEX). GALEX is operated for NASA by the California Institute of Technology under NASA contract NAS5-98034. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration.

Agradecimiento

We thank our referee whose valuable comments have certainly contributed to improve and clarify this paper. MAF and PVB acknowledge financial support by the DI-PUCV research project 039.481/2020, the research project PID2023-150178NB-I00 and PID2023-149578NB-I00, financed by MCIN/AEI/10.13039/501100011033, the project A-FQM-510-UGR20 financed from FEDER/Junta de Andalucia-Consejeria de Transforamcion Economica, Industria, Conocimiento y Universidades/Proyecto, by the grants P20_00334 and FQM108, financed by the Junta de Andalucia (Spain), the Emergia program (EMERGIA20_38888) from Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades and University of Granada, and the Grant AST22-4.4, funded by Consejeria de Universidad, Investigacion e Innovacion and Gobierno de Espana and Union Europea - NextGenerationEU. MAF also acknowledges support from FONDECYT iniciacion project 11200107. We are also grateful for the computing resources and related technical support provided by PROTEUS, the supercomputing center of Institute Carlos I in Granada, Spain. MB gratefully acknowledges support from the ANID BASAL project FB210003 and from the FONDECYT regular grant 1211000. This work was supported by the French government through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence of Universit Cpte d'Azur under reference number ANR-15-IDEX-01. This research made use of ASTROPY, a community-developed core PYTHON (http://www.python.org) package for Astronomy (Astropy Collaboration 2013); IPYTHON (Perez & Granger 2007); MATPLOTLIB (Hunter 2007); NUMPY (Walt et al. 2011); SCIPY (Jones et al. 2001); and TOPCAT (Taylor et al. 2005). This research made use of ASTRODENDRO, a Python package to compute dendrograms of Astronomical data (http://www.dendrograms.org/). This research has made use of the NASA/IPAC Extragalactic Database, operated by the Jet Propulsion Laboratory of the California Institute of Technology, uncentract with the National Aeronautics and Space Administration. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III Web site is http://www.sdss3.org/. The SDSS-IV site is http://www/sdss/org. Based on observations made with the NASA Galaxy Evolution Explorer (GALEX). GALEX is operated for NASA by the California Institute of Technology under NASA contract NAS5-98034. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration.

We thank our referee whose valuable comments have certainly contributed to improve and clarify this paper. MAF and PVB acknowledge financial support by the DI-PUCV research project 039.481/2020, the research project PID2023-150178NB-I00 and PID2023-149578NB-I00, financed by MCIN/AEI/10.13039/501100011033, the project A-FQM-510-UGR20 financed from FEDER/Junta de Andaluc\u00EDa-Consejer\u00EDa de Transforamci\u00F3n Econ\u00F3mica, Industria, Conocimiento y Universidades/Proyecto, by the grants P20_00334 and FQM108, financed by the Junta de Andaluc\u00EDa (Spain), the Emergia program (EMERGIA20_38888) from Consejer\u00EDa de Transformaci\u00F3n Econ\u00F3mica, Industria, Conocimiento y Universidades and University of Granada, and the Grant AST22-4.4, funded by Consejer\u00EDa de Universidad, Investigaci\u00F3n e Innovaci\u00F3n and Gobierno de Espa\u00F1a and Uni\u00F3n Europea - NextGenerationEU. MAF also acknowledges support from FONDECYT iniciaci\u00F3n project 11200107. We are also grateful for the computing resources and related technical support provided by PROTEUS, the supercomputing center of Institute Carlos I in Granada, Spain. MB gratefully acknowledges support from the ANID BASAL project FB210003 and from the FONDECYT regular grant 1211000. This work was supported by the French government through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence of Universit C\u00F4te d\u2019Azur under reference number ANR-15-IDEX-01. This research made use of astropy, a community-developed core python (http://www.python.org) package for Astronomy (Astropy Collaboration 2013); ipython (P\u00E9rez & Granger 2007); matplotlib (Hunter 2007); numpy (Walt et al. 2011); scipy (Jones et al. 2001); and topcat (Taylor et al. 2005). This research made use of astrodendro, a Python package to compute dendrograms of Astronomical data (http://www.dendrograms.org/). This research has made use of the NASA/IPAC Extragalactic Database, operated by the Jet Propulsion Laboratory of the California Institute of Technology, un centract with the National Aeronautics and Space Administration. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III Web site is http://www.sdss3.org/. The SDSS-IV site is http://www/sdss/org. Based on observations made with the NASA Galaxy Evolution Explorer (GALEX). GALEX is operated for NASA by the California Institute of Technology under NASA contract NAS5-98034. This publication makes use of data products from the Wide-field Infrared Survey Explorer, which is a joint project of the University of California, Los Angeles, and the Jet Propulsion Laboratory/California Institute of Technology, funded by the National Aeronautics and Space Administration.