Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission

Autores
Henny, Kiana F.; Dale, Daniel A.; Chandar, Rupali; Boquien, Médéric; Thilker, David A.; Whitmore, Bradley C.; Lee, Janice C.; Rodriguez, Maria Jimena; Maschmann, Daniel; Wofford, Aida; Indebetouw, Rémy; Úbeda, Leonardo; Groves, Brent; Hassani, Hamid; Larson, Kirsten L.; Williams, Thomas G.; Grasha, Kathryn; Pinna, Francesca; Hannon, Stephen
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The large number of star clusters in nearby galaxies permits us to statistically test the predictions of stellar, dust, and gas models. Using Hubble Space Telescope (HST) broadband plus Hα imaging combined with JWST near-infrared imaging, we use a total of 10 filters spanning near-ultraviolet through near-infrared wavelengths to model key physical parameters, including age, mass, and reddening, of 6130 star clusters in 16 nearby spiral galaxies from the Physics at High Angular resolution in Nearby GalaxieS sample, focusing on their ages, masses, and reddenings. We find that HST/Hα and JWST/NIRCam 2─3.6 μm photometry significantly improves our ability to disentangle the age─reddening degeneracy between young, gas- and dust-rich clusters and older, dustless clusters. The near-infrared data provide strong constraints on hot continuum dust and small polycyclic aromatic hydrocarbon emission for populations where gas and dust are present. These hot dust constraints demonstrate that Bruzual & Charlot stellar population models do not align with the observed near-ultraviolet-optical-near-infrared spectral energy distributions of star clusters in the first 10 Myr. We note that for old and low-metallicity globular clusters, the inclusion of narrowband Hα and/or broadband near-infrared data does not improve the determination of age and reddening parameters, due to the lack of stars capable of heating dust in the near-infrared regime.
Fil: Henny, Kiana F.. University Of Wyoming; Estados Unidos
Fil: Dale, Daniel A.. University Of Wyoming; Estados Unidos
Fil: Chandar, Rupali. University Of Toledo (utoledo); Estados Unidos
Fil: Boquien, Médéric. Université Côte D'azur; Francia
Fil: Thilker, David A.. University Johns Hopkins; Estados Unidos
Fil: Whitmore, Bradley C.. Space Telescope Science Institute; Estados Unidos
Fil: Lee, Janice C.. Space Telescope Science Institute; Estados Unidos
Fil: Rodriguez, Maria Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina
Fil: Maschmann, Daniel. Space Telescope Science Institute; Estados Unidos
Fil: Wofford, Aida. Universidad Nacional Autónoma de México; México
Fil: Indebetouw, Rémy. University of Virginia; Estados Unidos
Fil: Úbeda, Leonardo. Space Telescope Science Institute; Estados Unidos
Fil: Groves, Brent. University of Western Australia; Australia
Fil: Hassani, Hamid. University of Alberta; Canadá
Fil: Larson, Kirsten L.. Space Telescope Science Institute; Estados Unidos
Fil: Williams, Thomas G.. University of Oxford; Reino Unido
Fil: Grasha, Kathryn. Australian National University; Australia
Fil: Pinna, Francesca. Universidad de La Laguna; España
Fil: Hannon, Stephen. Max Planck Institut für Astronomie; Alemania
Materia
Star clusters
Spiral galaxies
Spectral energy distribution
Star forming regions
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/290789
Acceder
id CONICETDig_4d4970d3293877ae10031082f0dfea15
oai_identifier_str oai:ri.conicet.gov.ar:11336/290789
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust EmissionHenny, Kiana F.Dale, Daniel A.Chandar, RupaliBoquien, MédéricThilker, David A.Whitmore, Bradley C.Lee, Janice C.Rodriguez, Maria JimenaMaschmann, DanielWofford, AidaIndebetouw, RémyÚbeda, LeonardoGroves, BrentHassani, HamidLarson, Kirsten L.Williams, Thomas G.Grasha, KathrynPinna, FrancescaHannon, StephenStar clustersSpiral galaxiesSpectral energy distributionStar forming regionshttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The large number of star clusters in nearby galaxies permits us to statistically test the predictions of stellar, dust, and gas models. Using Hubble Space Telescope (HST) broadband plus Hα imaging combined with JWST near-infrared imaging, we use a total of 10 filters spanning near-ultraviolet through near-infrared wavelengths to model key physical parameters, including age, mass, and reddening, of 6130 star clusters in 16 nearby spiral galaxies from the Physics at High Angular resolution in Nearby GalaxieS sample, focusing on their ages, masses, and reddenings. We find that HST/Hα and JWST/NIRCam 2─3.6 μm photometry significantly improves our ability to disentangle the age─reddening degeneracy between young, gas- and dust-rich clusters and older, dustless clusters. The near-infrared data provide strong constraints on hot continuum dust and small polycyclic aromatic hydrocarbon emission for populations where gas and dust are present. These hot dust constraints demonstrate that Bruzual & Charlot stellar population models do not align with the observed near-ultraviolet-optical-near-infrared spectral energy distributions of star clusters in the first 10 Myr. We note that for old and low-metallicity globular clusters, the inclusion of narrowband Hα and/or broadband near-infrared data does not improve the determination of age and reddening parameters, due to the lack of stars capable of heating dust in the near-infrared regime.Fil: Henny, Kiana F.. University Of Wyoming; Estados UnidosFil: Dale, Daniel A.. University Of Wyoming; Estados UnidosFil: Chandar, Rupali. University Of Toledo (utoledo); Estados UnidosFil: Boquien, Médéric. Université Côte D'azur; FranciaFil: Thilker, David A.. University Johns Hopkins; Estados UnidosFil: Whitmore, Bradley C.. Space Telescope Science Institute; Estados UnidosFil: Lee, Janice C.. Space Telescope Science Institute; Estados UnidosFil: Rodriguez, Maria Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; ArgentinaFil: Maschmann, Daniel. Space Telescope Science Institute; Estados UnidosFil: Wofford, Aida. Universidad Nacional Autónoma de México; MéxicoFil: Indebetouw, Rémy. University of Virginia; Estados UnidosFil: Úbeda, Leonardo. Space Telescope Science Institute; Estados UnidosFil: Groves, Brent. University of Western Australia; AustraliaFil: Hassani, Hamid. University of Alberta; CanadáFil: Larson, Kirsten L.. Space Telescope Science Institute; Estados UnidosFil: Williams, Thomas G.. University of Oxford; Reino UnidoFil: Grasha, Kathryn. Australian National University; AustraliaFil: Pinna, Francesca. Universidad de La Laguna; EspañaFil: Hannon, Stephen. Max Planck Institut für Astronomie; AlemaniaIOP Publishing2025-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/290789Henny, Kiana F.; Dale, Daniel A.; Chandar, Rupali; Boquien, Médéric; Thilker, David A.; et al.; Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission; IOP Publishing; Astrophysical Journal; 991; 1; 9-2025; 1-310004-637XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.3847/1538-4357/ade440info:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4357/ade440info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:49:10Zoai:ri.conicet.gov.ar:11336/290789instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 14:49:10.804CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
title Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
spellingShingle Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
Henny, Kiana F.
Star clusters
Spiral galaxies
Spectral energy distribution
Star forming regions
title_short Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
title_full Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
title_fullStr Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
title_full_unstemmed Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
title_sort Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission
dc.creator.none.fl_str_mv Henny, Kiana F.
Dale, Daniel A.
Chandar, Rupali
Boquien, Médéric
Thilker, David A.
Whitmore, Bradley C.
Lee, Janice C.
Rodriguez, Maria Jimena
Maschmann, Daniel
Wofford, Aida
Indebetouw, Rémy
Úbeda, Leonardo
Groves, Brent
Hassani, Hamid
Larson, Kirsten L.
Williams, Thomas G.
Grasha, Kathryn
Pinna, Francesca
Hannon, Stephen
author Henny, Kiana F.
author_facet Henny, Kiana F.
Dale, Daniel A.
Chandar, Rupali
Boquien, Médéric
Thilker, David A.
Whitmore, Bradley C.
Lee, Janice C.
Rodriguez, Maria Jimena
Maschmann, Daniel
Wofford, Aida
Indebetouw, Rémy
Úbeda, Leonardo
Groves, Brent
Hassani, Hamid
Larson, Kirsten L.
Williams, Thomas G.
Grasha, Kathryn
Pinna, Francesca
Hannon, Stephen
author_role author
author2 Dale, Daniel A.
Chandar, Rupali
Boquien, Médéric
Thilker, David A.
Whitmore, Bradley C.
Lee, Janice C.
Rodriguez, Maria Jimena
Maschmann, Daniel
Wofford, Aida
Indebetouw, Rémy
Úbeda, Leonardo
Groves, Brent
Hassani, Hamid
Larson, Kirsten L.
Williams, Thomas G.
Grasha, Kathryn
Pinna, Francesca
Hannon, Stephen
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Star clusters
Spiral galaxies
Spectral energy distribution
Star forming regions
topic Star clusters
Spiral galaxies
Spectral energy distribution
Star forming regions
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The large number of star clusters in nearby galaxies permits us to statistically test the predictions of stellar, dust, and gas models. Using Hubble Space Telescope (HST) broadband plus Hα imaging combined with JWST near-infrared imaging, we use a total of 10 filters spanning near-ultraviolet through near-infrared wavelengths to model key physical parameters, including age, mass, and reddening, of 6130 star clusters in 16 nearby spiral galaxies from the Physics at High Angular resolution in Nearby GalaxieS sample, focusing on their ages, masses, and reddenings. We find that HST/Hα and JWST/NIRCam 2─3.6 μm photometry significantly improves our ability to disentangle the age─reddening degeneracy between young, gas- and dust-rich clusters and older, dustless clusters. The near-infrared data provide strong constraints on hot continuum dust and small polycyclic aromatic hydrocarbon emission for populations where gas and dust are present. These hot dust constraints demonstrate that Bruzual & Charlot stellar population models do not align with the observed near-ultraviolet-optical-near-infrared spectral energy distributions of star clusters in the first 10 Myr. We note that for old and low-metallicity globular clusters, the inclusion of narrowband Hα and/or broadband near-infrared data does not improve the determination of age and reddening parameters, due to the lack of stars capable of heating dust in the near-infrared regime.
Fil: Henny, Kiana F.. University Of Wyoming; Estados Unidos
Fil: Dale, Daniel A.. University Of Wyoming; Estados Unidos
Fil: Chandar, Rupali. University Of Toledo (utoledo); Estados Unidos
Fil: Boquien, Médéric. Université Côte D'azur; Francia
Fil: Thilker, David A.. University Johns Hopkins; Estados Unidos
Fil: Whitmore, Bradley C.. Space Telescope Science Institute; Estados Unidos
Fil: Lee, Janice C.. Space Telescope Science Institute; Estados Unidos
Fil: Rodriguez, Maria Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina
Fil: Maschmann, Daniel. Space Telescope Science Institute; Estados Unidos
Fil: Wofford, Aida. Universidad Nacional Autónoma de México; México
Fil: Indebetouw, Rémy. University of Virginia; Estados Unidos
Fil: Úbeda, Leonardo. Space Telescope Science Institute; Estados Unidos
Fil: Groves, Brent. University of Western Australia; Australia
Fil: Hassani, Hamid. University of Alberta; Canadá
Fil: Larson, Kirsten L.. Space Telescope Science Institute; Estados Unidos
Fil: Williams, Thomas G.. University of Oxford; Reino Unido
Fil: Grasha, Kathryn. Australian National University; Australia
Fil: Pinna, Francesca. Universidad de La Laguna; España
Fil: Hannon, Stephen. Max Planck Institut für Astronomie; Alemania
description The large number of star clusters in nearby galaxies permits us to statistically test the predictions of stellar, dust, and gas models. Using Hubble Space Telescope (HST) broadband plus Hα imaging combined with JWST near-infrared imaging, we use a total of 10 filters spanning near-ultraviolet through near-infrared wavelengths to model key physical parameters, including age, mass, and reddening, of 6130 star clusters in 16 nearby spiral galaxies from the Physics at High Angular resolution in Nearby GalaxieS sample, focusing on their ages, masses, and reddenings. We find that HST/Hα and JWST/NIRCam 2─3.6 μm photometry significantly improves our ability to disentangle the age─reddening degeneracy between young, gas- and dust-rich clusters and older, dustless clusters. The near-infrared data provide strong constraints on hot continuum dust and small polycyclic aromatic hydrocarbon emission for populations where gas and dust are present. These hot dust constraints demonstrate that Bruzual & Charlot stellar population models do not align with the observed near-ultraviolet-optical-near-infrared spectral energy distributions of star clusters in the first 10 Myr. We note that for old and low-metallicity globular clusters, the inclusion of narrowband Hα and/or broadband near-infrared data does not improve the determination of age and reddening parameters, due to the lack of stars capable of heating dust in the near-infrared regime.
publishDate 2025
dc.date.none.fl_str_mv 2025-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/290789
Henny, Kiana F.; Dale, Daniel A.; Chandar, Rupali; Boquien, Médéric; Thilker, David A.; et al.; Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission; IOP Publishing; Astrophysical Journal; 991; 1; 9-2025; 1-31
0004-637X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/290789
identifier_str_mv Henny, Kiana F.; Dale, Daniel A.; Chandar, Rupali; Boquien, Médéric; Thilker, David A.; et al.; Star Clusters in the Near-ultraviolet-optical-near-infrared: Spectral Energy Distribution Modeling with Direct Markers of Gas and Dust Emission; IOP Publishing; Astrophysical Journal; 991; 1; 9-2025; 1-31
0004-637X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.3847/1538-4357/ade440
info:eu-repo/semantics/altIdentifier/doi/10.3847/1538-4357/ade440
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1874774721518632960
score 13.265058

Publicaciones similares