The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra

Dwarf galaxies are ideal laboratories to study the physics of the interstellar medium (ISM). Emission lines have been widely used to this aim. Retrieving the full information encoded in the spectra is therefore essential. This can be efficiently and reliably done using Machine Learning (ML) algorith...

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Detalles Bibliográficos
Autores: Ucci, G., Ferrara, A., Gallerani, S., Pallottini, A., Cresci, G., Kehrig, C., Hunt, L.K., Vílchez Medina, José Manuel, Vanzi, L.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/189502
Acceso en línea:http://hdl.handle.net/10261/189502
Access Level:acceso abierto
Palabra clave:Galaxies: evolution
Galaxies: individual: He 2-10
Galaxies: individual: IZw18
Galaxies: star formation
Galaxies: ISM
Galaxies: abundances
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spelling The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectraUcci, G.Ferrara, A.Gallerani, S.Pallottini, A.Cresci, G.Kehrig, C.Hunt, L.K.Vílchez Medina, José ManuelVanzi, L.Galaxies: evolutionGalaxies: individual: He 2-10Galaxies: individual: IZw18Galaxies: star formationGalaxies: ISMGalaxies: abundancesDwarf galaxies are ideal laboratories to study the physics of the interstellar medium (ISM). Emission lines have been widely used to this aim. Retrieving the full information encoded in the spectra is therefore essential. This can be efficiently and reliably done using Machine Learning (ML) algorithms. Here, we apply the ML code GAME to MUSE (Multi Unit Spectroscopic Explorer) and PMAS (Potsdam Multi Aperture Spectrophotometer) integral field unit observations of two nearby blue compact galaxies: Henize 2-10 and IZw18. We derive spatially resolved maps of several key ISM physical properties. We find that both galaxies show a remarkably uniform metallicity distribution. Henize 2-10 is a star-forming-dominated galaxy, with a star formation rate (SFR) of about 1.2 M yr. Henize 2-10 features dense and dusty (A up to 5-7 mag) star-forming central sites. We find IZw18 to be very metal-poor (Z = 1/20 Z). IZw18 has a strong interstellar radiation field, with a large ionization parameter. We also use models of PopIII stars spectral energy distribution as a possible ionizing source for the He II λ4686 emission detected in the IZw18 NW component. We find that PopIII stars could provide a significant contribution to the line intensity. The upper limit to the PopIII star formation is 52 per cent of the total IZw18 SFR.© 2018 The Author(s)AF acknowledges support from the ERC Advanced Grant INTERSTELLAR H2020/740120. GC and LKH are grateful to grant funding from the INAF PRIN-SKA program 1.05.01.88.04. Peer ReviewedOxford University PressEuropean Research CouncilIstituto Nazionale di AstrofisicaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2019201920192019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/189502reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1895022026-05-22T06:33:51Z
dc.title.none.fl_str_mv The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
title The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
spellingShingle The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
Ucci, G.
Galaxies: evolution
Galaxies: individual: He 2-10
Galaxies: individual: IZw18
Galaxies: star formation
Galaxies: ISM
Galaxies: abundances
title_short The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
title_full The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
title_fullStr The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
title_full_unstemmed The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
title_sort The interstellar medium of dwarf galaxies: New insights from Machine Learning analysis of emission-line spectra
dc.creator.none.fl_str_mv Ucci, G.
Ferrara, A.
Gallerani, S.
Pallottini, A.
Cresci, G.
Kehrig, C.
Hunt, L.K.
Vílchez Medina, José Manuel
Vanzi, L.
author Ucci, G.
author_facet Ucci, G.
Ferrara, A.
Gallerani, S.
Pallottini, A.
Cresci, G.
Kehrig, C.
Hunt, L.K.
Vílchez Medina, José Manuel
Vanzi, L.
author_role author
author2 Ferrara, A.
Gallerani, S.
Pallottini, A.
Cresci, G.
Kehrig, C.
Hunt, L.K.
Vílchez Medina, José Manuel
Vanzi, L.
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv European Research Council
Istituto Nazionale di Astrofisica
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Galaxies: evolution
Galaxies: individual: He 2-10
Galaxies: individual: IZw18
Galaxies: star formation
Galaxies: ISM
Galaxies: abundances
topic Galaxies: evolution
Galaxies: individual: He 2-10
Galaxies: individual: IZw18
Galaxies: star formation
Galaxies: ISM
Galaxies: abundances
description Dwarf galaxies are ideal laboratories to study the physics of the interstellar medium (ISM). Emission lines have been widely used to this aim. Retrieving the full information encoded in the spectra is therefore essential. This can be efficiently and reliably done using Machine Learning (ML) algorithms. Here, we apply the ML code GAME to MUSE (Multi Unit Spectroscopic Explorer) and PMAS (Potsdam Multi Aperture Spectrophotometer) integral field unit observations of two nearby blue compact galaxies: Henize 2-10 and IZw18. We derive spatially resolved maps of several key ISM physical properties. We find that both galaxies show a remarkably uniform metallicity distribution. Henize 2-10 is a star-forming-dominated galaxy, with a star formation rate (SFR) of about 1.2 M yr. Henize 2-10 features dense and dusty (A up to 5-7 mag) star-forming central sites. We find IZw18 to be very metal-poor (Z = 1/20 Z). IZw18 has a strong interstellar radiation field, with a large ionization parameter. We also use models of PopIII stars spectral energy distribution as a possible ionizing source for the He II λ4686 emission detected in the IZw18 NW component. We find that PopIII stars could provide a significant contribution to the line intensity. The upper limit to the PopIII star formation is 52 per cent of the total IZw18 SFR.© 2018 The Author(s)
publishDate 2019
dc.date.none.fl_str_mv 2019
2019
2019
2019
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/10261/189502
url http://hdl.handle.net/10261/189502
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
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
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score 15,812429

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