The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code

ABSTRACT 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.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2024-08-31
DOI
https://doi.org/10.1093/mnras/stae2055
Citations
4
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
1.33

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article

The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code

G. Baume, L. O. Kerber, P. Westera, Bruno J. De Bórtoli et al.
4 citations
Monthly Notices of the Royal Astronomical Society
Gamma-ray bursts and supernovae
1.33
article

The VISCACHA Survey – XI. Benchmarking SIESTA: a new synthetic CMD fitting code

G. Baume, L. O. Kerber, P. Westera, Bruno J. De Bórtoli, Ángeles Pérez-Villegas, M. C. Parisi, José G. Fernández-Trincado, J P Rocha, F. F. S. Maia, E. R. Garro, J. F. C. Santos, João Francisco Gardin, J. A. Hernández-Jiménez, S. O. Souza, R. A. P. Oliveira, Bruno Dias, E. Bica, Bernardo P. L. Ferreira, Orlando Katime Santrich
article en
4 citations

Abstract

ABSTRACT 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.

Monthly Notices of the Royal Astronomical SocietyVol. 533(4)
Universidade Federal de Minas Gerais (BR), Universidade Federal do Rio de Janeiro (BR), Universidade Federal do Rio Grande do Sul (BR), Universidad Andrés Bello (CL), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Universidad Nacional de Córdoba (AR), Universidade de São Paulo (BR), Universidad Católica del Norte (CL), Universidade Estadual de Santa Cruz (BR), Instituto de Astronomía Teórica y Experimental (AR), Argentine National Observatory (AR), Max Planck Institute for Astronomy (DE), European Southern Observatory (CL), Laboratório Nacional de Computação Científica (BR), Instituto de Astrofísica de La Plata, University of Warsaw (PL), Universidade Federal do ABC (BR), Universidad Nacional de La Plata (AR), Universidad Nacional Autónoma de México (MX)
University of North Carolina, Michigan State University, Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Ministério da Ciência, Tecnologia e Inovação, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Agencia Nacional de Investigación y Desarrollo, Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México, Fondo Nacional de Desarrollo Científico y Tecnológico
Openalex Percentile: Top 20%
Gamma-ray bursts and supernovae
1.33
DOIOpen Access PDFOpenAlex
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