The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code
- Autores
- Ferreira, Bernardo P. L.; Santos Jr., João F. C.; Dias, Bruno; Maia, Francisco; Kerber, Leandro O.; Gardin, João Francisco; Oliveira, Raphael A. P.; Westera, Pieter; Rocha, João Pedro S.; Souza, Stefano O.; Hernandez Jimenez, Jose Andres; Santrich, Orlando Katime; Pérez Villegas, Angeles; Garro, Elisa R.; Baume, Gustavo Luis; Fernández Trincado, José G.; de Bórtoli, Bruno Javier; Parisi, Maria Celeste; Bica, Eduardo
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- We present a novel code, named SIESTA (Statistical matchIng between rEal and Synthetic sTellar popuLations), designed for performing statistical isochrone fitting to colour–magnitude diagrams (CMDs) of single stellar populations by leveraging comparisons between the observed stellar distribution and predictions from synthetic populations, simulated on top of a grid of isochrones. These synthetic populations encompass determinant factors such as the cluster’s initial mass function (IMF), the presence of non-resolved binaries, as well as the expected photometric errors, and observational completeness (or the observed luminosity function). Employing Markov Chain Monte Carlo within a Bayesian framework, SIESTA allows for the determination of a cluster’s age, metallicity, distance, colour excess, and binary fraction (with masses exceeding a certain ratio). In this study, we rigorously benchmark the SIESTA code utilizing synthetic populations and evaluate its performance against observations from the VISCACHA Survey in the Small Magellanic Cloud, focusing on five star clusters: Lindsay 114, NGC 152, Lindsay 91, Lindsay 113, and NGC 121. These clusters were chosen for their diverse age range, spanning from 0.04 to 10 Gyr. Our findings demonstrate the capability of the SIESTA code to accurately represent the observed CMDs of these clusters. Furthermore, we compare the results obtained with SIESTA to previous characterizations of these clusters, highlighting the consistency between the derived metallicity and spectroscopic determinations from various sources.
Fil: Ferreira, Bernardo P. L.. Universidade Federal de Minas Gerais; Brasil
Fil: Santos Jr., João F. C.. Universidade Federal de Minas Gerais; Brasil
Fil: Dias, Bruno. Universidad Andrés Bello; Chile
Fil: Maia, Francisco. Universidade Federal do Rio de Janeiro; Brasil
Fil: Kerber, Leandro O.. Universidade Estadual de Santa Cruz; Brasil
Fil: Gardin, João Francisco. Universidade Federal de Minas Gerais; Brasil
Fil: Oliveira, Raphael A. P.. University of Warsaw; Polonia
Fil: Westera, Pieter. Universidad Federal do Abc; Brasil
Fil: Rocha, João Pedro S.. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Souza, Stefano O.. Universidade de Sao Paulo; Brasil
Fil: Hernandez Jimenez, Jose Andres. Universidade de Sao Paulo; Brasil
Fil: Santrich, Orlando Katime. Universidade Estadual de Santa Cruz; Brasil
Fil: Pérez Villegas, Angeles. Universidad Nacional Autónoma de México; México
Fil: Garro, Elisa R.. European Southern Observatory Chile; Chile
Fil: Baume, Gustavo Luis. 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: Fernández Trincado, José G.. Universidad Católica del Norte; Chile
Fil: de Bórtoli, Bruno Javier. 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: Parisi, Maria Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Bica, Eduardo. Universidade Federal do Rio Grande do Sul; Brasil - Materia
-
small magellanic cloud
CMD fitting code - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/275790
Ver los metadatos del registro completo
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The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting codeFerreira, Bernardo P. L.Santos Jr., João F. C.Dias, BrunoMaia, FranciscoKerber, Leandro O.Gardin, João FranciscoOliveira, Raphael A. P.Westera, PieterRocha, João Pedro S.Souza, Stefano O.Hernandez Jimenez, Jose AndresSantrich, Orlando KatimePérez Villegas, AngelesGarro, Elisa R.Baume, Gustavo LuisFernández Trincado, José G.de Bórtoli, Bruno JavierParisi, Maria CelesteBica, Eduardosmall magellanic cloudCMD fitting codehttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We present a novel code, named SIESTA (Statistical matchIng between rEal and Synthetic sTellar popuLations), designed for performing statistical isochrone fitting to colour–magnitude diagrams (CMDs) of single stellar populations by leveraging comparisons between the observed stellar distribution and predictions from synthetic populations, simulated on top of a grid of isochrones. These synthetic populations encompass determinant factors such as the cluster’s initial mass function (IMF), the presence of non-resolved binaries, as well as the expected photometric errors, and observational completeness (or the observed luminosity function). Employing Markov Chain Monte Carlo within a Bayesian framework, SIESTA allows for the determination of a cluster’s age, metallicity, distance, colour excess, and binary fraction (with masses exceeding a certain ratio). In this study, we rigorously benchmark the SIESTA code utilizing synthetic populations and evaluate its performance against observations from the VISCACHA Survey in the Small Magellanic Cloud, focusing on five star clusters: Lindsay 114, NGC 152, Lindsay 91, Lindsay 113, and NGC 121. These clusters were chosen for their diverse age range, spanning from 0.04 to 10 Gyr. Our findings demonstrate the capability of the SIESTA code to accurately represent the observed CMDs of these clusters. Furthermore, we compare the results obtained with SIESTA to previous characterizations of these clusters, highlighting the consistency between the derived metallicity and spectroscopic determinations from various sources.Fil: Ferreira, Bernardo P. L.. Universidade Federal de Minas Gerais; BrasilFil: Santos Jr., João F. C.. Universidade Federal de Minas Gerais; BrasilFil: Dias, Bruno. Universidad Andrés Bello; ChileFil: Maia, Francisco. Universidade Federal do Rio de Janeiro; BrasilFil: Kerber, Leandro O.. Universidade Estadual de Santa Cruz; BrasilFil: Gardin, João Francisco. Universidade Federal de Minas Gerais; BrasilFil: Oliveira, Raphael A. P.. University of Warsaw; PoloniaFil: Westera, Pieter. Universidad Federal do Abc; BrasilFil: Rocha, João Pedro S.. Laboratorio Nacional de Computacao Cientifica; BrasilFil: Souza, Stefano O.. Universidade de Sao Paulo; BrasilFil: Hernandez Jimenez, Jose Andres. Universidade de Sao Paulo; BrasilFil: Santrich, Orlando Katime. Universidade Estadual de Santa Cruz; BrasilFil: Pérez Villegas, Angeles. Universidad Nacional Autónoma de México; MéxicoFil: Garro, Elisa R.. European Southern Observatory Chile; ChileFil: Baume, Gustavo Luis. 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: Fernández Trincado, José G.. Universidad Católica del Norte; ChileFil: de Bórtoli, Bruno Javier. 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: Parisi, Maria Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Bica, Eduardo. Universidade Federal do Rio Grande do Sul; BrasilWiley Blackwell Publishing, Inc2024-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/275790Ferreira, Bernardo P. L.; Santos Jr., João F. C.; Dias, Bruno; Maia, Francisco; Kerber, Leandro O.; et al.; The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 533; 4; 10-2024; 4210-42330035-8711CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnras/article/533/4/4210/7746770info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stae2055info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T13:29:06Zoai:ri.conicet.gov.ar:11336/275790instacron: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:34982025-12-23 13:29:06.426CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code |
| title |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code |
| spellingShingle |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code Ferreira, Bernardo P. L. small magellanic cloud CMD fitting code |
| title_short |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code |
| title_full |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code |
| title_fullStr |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code |
| title_full_unstemmed |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code |
| title_sort |
The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code |
| dc.creator.none.fl_str_mv |
Ferreira, Bernardo P. L. Santos Jr., João F. C. Dias, Bruno Maia, Francisco Kerber, Leandro O. Gardin, João Francisco Oliveira, Raphael A. P. Westera, Pieter Rocha, João Pedro S. Souza, Stefano O. Hernandez Jimenez, Jose Andres Santrich, Orlando Katime Pérez Villegas, Angeles Garro, Elisa R. Baume, Gustavo Luis Fernández Trincado, José G. de Bórtoli, Bruno Javier Parisi, Maria Celeste Bica, Eduardo |
| author |
Ferreira, Bernardo P. L. |
| author_facet |
Ferreira, Bernardo P. L. Santos Jr., João F. C. Dias, Bruno Maia, Francisco Kerber, Leandro O. Gardin, João Francisco Oliveira, Raphael A. P. Westera, Pieter Rocha, João Pedro S. Souza, Stefano O. Hernandez Jimenez, Jose Andres Santrich, Orlando Katime Pérez Villegas, Angeles Garro, Elisa R. Baume, Gustavo Luis Fernández Trincado, José G. de Bórtoli, Bruno Javier Parisi, Maria Celeste Bica, Eduardo |
| author_role |
author |
| author2 |
Santos Jr., João F. C. Dias, Bruno Maia, Francisco Kerber, Leandro O. Gardin, João Francisco Oliveira, Raphael A. P. Westera, Pieter Rocha, João Pedro S. Souza, Stefano O. Hernandez Jimenez, Jose Andres Santrich, Orlando Katime Pérez Villegas, Angeles Garro, Elisa R. Baume, Gustavo Luis Fernández Trincado, José G. de Bórtoli, Bruno Javier Parisi, Maria Celeste Bica, Eduardo |
| 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 |
small magellanic cloud CMD fitting code |
| topic |
small magellanic cloud CMD fitting code |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
We present a novel code, named SIESTA (Statistical matchIng between rEal and Synthetic sTellar popuLations), designed for performing statistical isochrone fitting to colour–magnitude diagrams (CMDs) of single stellar populations by leveraging comparisons between the observed stellar distribution and predictions from synthetic populations, simulated on top of a grid of isochrones. These synthetic populations encompass determinant factors such as the cluster’s initial mass function (IMF), the presence of non-resolved binaries, as well as the expected photometric errors, and observational completeness (or the observed luminosity function). Employing Markov Chain Monte Carlo within a Bayesian framework, SIESTA allows for the determination of a cluster’s age, metallicity, distance, colour excess, and binary fraction (with masses exceeding a certain ratio). In this study, we rigorously benchmark the SIESTA code utilizing synthetic populations and evaluate its performance against observations from the VISCACHA Survey in the Small Magellanic Cloud, focusing on five star clusters: Lindsay 114, NGC 152, Lindsay 91, Lindsay 113, and NGC 121. These clusters were chosen for their diverse age range, spanning from 0.04 to 10 Gyr. Our findings demonstrate the capability of the SIESTA code to accurately represent the observed CMDs of these clusters. Furthermore, we compare the results obtained with SIESTA to previous characterizations of these clusters, highlighting the consistency between the derived metallicity and spectroscopic determinations from various sources. Fil: Ferreira, Bernardo P. L.. Universidade Federal de Minas Gerais; Brasil Fil: Santos Jr., João F. C.. Universidade Federal de Minas Gerais; Brasil Fil: Dias, Bruno. Universidad Andrés Bello; Chile Fil: Maia, Francisco. Universidade Federal do Rio de Janeiro; Brasil Fil: Kerber, Leandro O.. Universidade Estadual de Santa Cruz; Brasil Fil: Gardin, João Francisco. Universidade Federal de Minas Gerais; Brasil Fil: Oliveira, Raphael A. P.. University of Warsaw; Polonia Fil: Westera, Pieter. Universidad Federal do Abc; Brasil Fil: Rocha, João Pedro S.. Laboratorio Nacional de Computacao Cientifica; Brasil Fil: Souza, Stefano O.. Universidade de Sao Paulo; Brasil Fil: Hernandez Jimenez, Jose Andres. Universidade de Sao Paulo; Brasil Fil: Santrich, Orlando Katime. Universidade Estadual de Santa Cruz; Brasil Fil: Pérez Villegas, Angeles. Universidad Nacional Autónoma de México; México Fil: Garro, Elisa R.. European Southern Observatory Chile; Chile Fil: Baume, Gustavo Luis. 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: Fernández Trincado, José G.. Universidad Católica del Norte; Chile Fil: de Bórtoli, Bruno Javier. 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: Parisi, Maria Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Bica, Eduardo. Universidade Federal do Rio Grande do Sul; Brasil |
| description |
We present a novel code, named SIESTA (Statistical matchIng between rEal and Synthetic sTellar popuLations), designed for performing statistical isochrone fitting to colour–magnitude diagrams (CMDs) of single stellar populations by leveraging comparisons between the observed stellar distribution and predictions from synthetic populations, simulated on top of a grid of isochrones. These synthetic populations encompass determinant factors such as the cluster’s initial mass function (IMF), the presence of non-resolved binaries, as well as the expected photometric errors, and observational completeness (or the observed luminosity function). Employing Markov Chain Monte Carlo within a Bayesian framework, SIESTA allows for the determination of a cluster’s age, metallicity, distance, colour excess, and binary fraction (with masses exceeding a certain ratio). In this study, we rigorously benchmark the SIESTA code utilizing synthetic populations and evaluate its performance against observations from the VISCACHA Survey in the Small Magellanic Cloud, focusing on five star clusters: Lindsay 114, NGC 152, Lindsay 91, Lindsay 113, and NGC 121. These clusters were chosen for their diverse age range, spanning from 0.04 to 10 Gyr. Our findings demonstrate the capability of the SIESTA code to accurately represent the observed CMDs of these clusters. Furthermore, we compare the results obtained with SIESTA to previous characterizations of these clusters, highlighting the consistency between the derived metallicity and spectroscopic determinations from various sources. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024-10 |
| 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 |
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http://hdl.handle.net/11336/275790 Ferreira, Bernardo P. L.; Santos Jr., João F. C.; Dias, Bruno; Maia, Francisco; Kerber, Leandro O.; et al.; The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 533; 4; 10-2024; 4210-4233 0035-8711 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/275790 |
| identifier_str_mv |
Ferreira, Bernardo P. L.; Santos Jr., João F. C.; Dias, Bruno; Maia, Francisco; Kerber, Leandro O.; et al.; The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 533; 4; 10-2024; 4210-4233 0035-8711 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
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info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnras/article/533/4/4210/7746770 info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stae2055 |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
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openAccess |
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https://creativecommons.org/licenses/by/2.5/ar/ |
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application/pdf application/pdf |
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Wiley Blackwell Publishing, Inc |
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Wiley Blackwell Publishing, Inc |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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