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Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters

Fuente: arXiv

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Main Authors:	Esteves, J. H., Pereira, M. E. S., Soares-Santos, M., Annis, J., Farahi, A., Andrade-Oliveira, F., Barchi, P., Palmese, A., Lin, H., Welch, B., Wu, H. -Y., Aguena, M., Bacon, O. Alves D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Weaverdyck, N., Wiseman, P., Yamamoto, M., collaboration, DES
Format:	Preprint
Published:	2024
Subjects:	Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Online Access:	Acceder al recurso
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author	Esteves, J. H. Pereira, M. E. S. Soares-Santos, M. Annis, J. Farahi, A. Andrade-Oliveira, F. Barchi, P. Palmese, A. Lin, H. Welch, B. Wu, H. -Y. Aguena, M. Bacon, O. Alves D. Bocquet, S. Brooks, D. Rosell, A. Carnero Carretero, J. Costanzi, M. da Costa, L. N. De Vicente, J. Doel, P. Everett, S. Flaugher, B. Frieman, J. García-Bellido, J. Gruen, D. Gruendl, R. A. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. Lidman, C. Lima, M. Marshall, J. L. Mena-Fernández, J. Miquel, R. Myles, J. Ogando, R. L. C. Pieres, A. Malagón, A. A. Plazas Romer, A. K. Sanchez, E. Cid, D. Sanchez Santiago, B. Schubnell, M. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M. E. C. Weaverdyck, N. Wiseman, P. Yamamoto, M. collaboration, DES
author_facet	Esteves, J. H. Pereira, M. E. S. Soares-Santos, M. Annis, J. Farahi, A. Andrade-Oliveira, F. Barchi, P. Palmese, A. Lin, H. Welch, B. Wu, H. -Y. Aguena, M. Bacon, O. Alves D. Bocquet, S. Brooks, D. Rosell, A. Carnero Carretero, J. Costanzi, M. da Costa, L. N. De Vicente, J. Doel, P. Everett, S. Flaugher, B. Frieman, J. García-Bellido, J. Gruen, D. Gruendl, R. A. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. Lidman, C. Lima, M. Marshall, J. L. Mena-Fernández, J. Miquel, R. Myles, J. Ogando, R. L. C. Pieres, A. Malagón, A. A. Plazas Romer, A. K. Sanchez, E. Cid, D. Sanchez Santiago, B. Schubnell, M. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M. E. C. Weaverdyck, N. Wiseman, P. Yamamoto, M. collaboration, DES
contents	Cosmological analyses using galaxy clusters in optical/NIR photometric surveys require robust characterization of their galaxy content. Precisely determining which galaxies belong to a cluster is crucial. In this paper, we present the COlor Probabilistic Assignment of Clusters And BAyesiaN Analysis (Copacabana) algorithm. Copacabana computes membership probabilities for {\it all} galaxies within an aperture centred on the cluster using photometric redshifts, colours, and projected radial probability density functions. We use simulations to validate Copacabana and we show that it achieves up to 89\% membership accuracy with a mild dependency on photometric redshift uncertainties and choice of aperture size. We find that the precision of the photometric redshifts has the largest impact on the determination of the membership probabilities followed by the choice of the cluster aperture size. We also quantify how much these uncertainties in the membership probabilities affect the stellar mass--cluster mass scaling relation, a relation that directly impacts cosmology. Using the sum of the stellar masses weighted by membership probabilities ($μ_{\star}$) as the observable, we find that Copacabana can reach an accuracy of 0.06 dex in the measurement of the scaling relation. These results indicate the potential of Copacabana and $μ_{\star}$ to be used in cosmological analyses of optically selected clusters in the future.
format	Preprint
id	arxiv_https___arxiv_org_abs_2401_12049
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters Esteves, J. H. Pereira, M. E. S. Soares-Santos, M. Annis, J. Farahi, A. Andrade-Oliveira, F. Barchi, P. Palmese, A. Lin, H. Welch, B. Wu, H. -Y. Aguena, M. Bacon, O. Alves D. Bocquet, S. Brooks, D. Rosell, A. Carnero Carretero, J. Costanzi, M. da Costa, L. N. De Vicente, J. Doel, P. Everett, S. Flaugher, B. Frieman, J. García-Bellido, J. Gruen, D. Gruendl, R. A. Gutierrez, G. Hinton, S. R. Hollowood, D. L. Honscheid, K. James, D. J. Kuehn, K. Lidman, C. Lima, M. Marshall, J. L. Mena-Fernández, J. Miquel, R. Myles, J. Ogando, R. L. C. Pieres, A. Malagón, A. A. Plazas Romer, A. K. Sanchez, E. Cid, D. Sanchez Santiago, B. Schubnell, M. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M. E. C. Weaverdyck, N. Wiseman, P. Yamamoto, M. collaboration, DES Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Cosmological analyses using galaxy clusters in optical/NIR photometric surveys require robust characterization of their galaxy content. Precisely determining which galaxies belong to a cluster is crucial. In this paper, we present the COlor Probabilistic Assignment of Clusters And BAyesiaN Analysis (Copacabana) algorithm. Copacabana computes membership probabilities for {\it all} galaxies within an aperture centred on the cluster using photometric redshifts, colours, and projected radial probability density functions. We use simulations to validate Copacabana and we show that it achieves up to 89\% membership accuracy with a mild dependency on photometric redshift uncertainties and choice of aperture size. We find that the precision of the photometric redshifts has the largest impact on the determination of the membership probabilities followed by the choice of the cluster aperture size. We also quantify how much these uncertainties in the membership probabilities affect the stellar mass--cluster mass scaling relation, a relation that directly impacts cosmology. Using the sum of the stellar masses weighted by membership probabilities ($μ_{\star}$) as the observable, we find that Copacabana can reach an accuracy of 0.06 dex in the measurement of the scaling relation. These results indicate the potential of Copacabana and $μ_{\star}$ to be used in cosmological analyses of optically selected clusters in the future.
title	Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters
topic	Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
url	https://arxiv.org/abs/2401.12049