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Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program

Fuente: arXiv

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Autori principali:	Chen, R., Scolnic, D., Vincenzi, M., Rykoff, E. S., Myles, J., Kessler, R., Popovic, B., Sako, M., Smith, M., Armstrong, P., Brout, D., Davis, T. M., Galbany, L., Lee, J., Lidman, C., Möller, A., Sánchez, B. O., Sullivan, M., Qu, H., Wiseman, P., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Brooks, D., Rosell, A. Carnero, Carretero, J., Choi, A., Conselice, C., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Vikram, V., Weaverdyck, N., Weller, J.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cosmology and Nongalactic Astrophysics
Accesso online:	Acceder al recurso
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_version_	1866910539180933120
author	Chen, R. Scolnic, D. Vincenzi, M. Rykoff, E. S. Myles, J. Kessler, R. Popovic, B. Sako, M. Smith, M. Armstrong, P. Brout, D. Davis, T. M. Galbany, L. Lee, J. Lidman, C. Möller, A. Sánchez, B. O. Sullivan, M. Qu, H. Wiseman, P. Abbott, T. M. C. Aguena, M. Allam, S. Alves, O. Andrade-Oliveira, F. Annis, J. Bacon, D. Brooks, D. Rosell, A. Carnero Carretero, J. Choi, A. Conselice, C. da Costa, L. N. Pereira, M. E. S. Diehl, H. T. Doel, P. Everett, S. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gruendl, R. A. Gutierrez, G. Herner, K. Hinton, S. R. Hollowood, D. L. Honscheid, K. Huterer, D. James, D. J. Kuehn, K. Lima, M. Marshall, J. L. Mena-Fernández, J. Menanteau, F. Miquel, R. Ogando, R. L. C. Palmese, A. Pieres, A. Malagón, A. A. Plazas Roodman, A. Samuroff, S. Sanchez, E. Cid, D. Sanchez Sevilla-Noarbe, I. Suchyta, E. Swanson, M. E. C. Tarle, G. To, C. Tucker, D. L. Vikram, V. Weaverdyck, N. Weller, J.
author_facet	Chen, R. Scolnic, D. Vincenzi, M. Rykoff, E. S. Myles, J. Kessler, R. Popovic, B. Sako, M. Smith, M. Armstrong, P. Brout, D. Davis, T. M. Galbany, L. Lee, J. Lidman, C. Möller, A. Sánchez, B. O. Sullivan, M. Qu, H. Wiseman, P. Abbott, T. M. C. Aguena, M. Allam, S. Alves, O. Andrade-Oliveira, F. Annis, J. Bacon, D. Brooks, D. Rosell, A. Carnero Carretero, J. Choi, A. Conselice, C. da Costa, L. N. Pereira, M. E. S. Diehl, H. T. Doel, P. Everett, S. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gruendl, R. A. Gutierrez, G. Herner, K. Hinton, S. R. Hollowood, D. L. Honscheid, K. Huterer, D. James, D. J. Kuehn, K. Lima, M. Marshall, J. L. Mena-Fernández, J. Menanteau, F. Miquel, R. Ogando, R. L. C. Palmese, A. Pieres, A. Malagón, A. A. Plazas Roodman, A. Samuroff, S. Sanchez, E. Cid, D. Sanchez Sevilla-Noarbe, I. Suchyta, E. Swanson, M. E. C. Tarle, G. To, C. Tucker, D. L. Vikram, V. Weaverdyck, N. Weller, J.
contents	Cosmological analyses with Type Ia Supernovae (SNe Ia) have traditionally been reliant on spectroscopy for both classifying the type of supernova and obtaining reliable redshifts to measure the distance-redshift relation. While obtaining a host-galaxy spectroscopic redshift for most SNe is feasible for small-area transient surveys, it will be too resource intensive for upcoming large-area surveys such as the Vera Rubin Observatory Legacy Survey of Space and Time, which will observe on the order of millions of SNe. Here we use data from the Dark Energy Survey (DES) to address this problem with photometric redshifts (photo-z) inferred directly from the SN light-curve in combination with Gaussian and full p(z) priors from host-galaxy photo-z estimates. Using the DES 5-year photometrically-classified SN sample, we consider several photo-z algorithms as host-galaxy photo-z priors, including the Self-Organizing Map redshifts (SOMPZ), Bayesian Photometric Redshifts (BPZ), and Directional-Neighbourhood Fitting (DNF) redshift estimates employed in the DES 3x2 point analyses. With detailed catalog-level simulations of the DES 5-year sample, we find that the simulated w can be recovered within $\pm$0.02 when using SN+SOMPZ or DNF prior photo-z, smaller than the average statistical uncertainty for these samples of 0.03. With data, we obtain biases in w consistent with simulations within ~1$σ$ for three of the five photo-z variants. We further evaluate how photo-z systematics interplay with photometric classification and find classification introduces a subdominant systematic component. This work lays the foundation for next-generation fully photometric SNe Ia cosmological analyses.
format	Preprint
id	arxiv_https___arxiv_org_abs_2407_16744
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program Chen, R. Scolnic, D. Vincenzi, M. Rykoff, E. S. Myles, J. Kessler, R. Popovic, B. Sako, M. Smith, M. Armstrong, P. Brout, D. Davis, T. M. Galbany, L. Lee, J. Lidman, C. Möller, A. Sánchez, B. O. Sullivan, M. Qu, H. Wiseman, P. Abbott, T. M. C. Aguena, M. Allam, S. Alves, O. Andrade-Oliveira, F. Annis, J. Bacon, D. Brooks, D. Rosell, A. Carnero Carretero, J. Choi, A. Conselice, C. da Costa, L. N. Pereira, M. E. S. Diehl, H. T. Doel, P. Everett, S. Ferrero, I. Flaugher, B. Frieman, J. García-Bellido, J. Gatti, M. Gaztanaga, E. Giannini, G. Gruen, D. Gruendl, R. A. Gutierrez, G. Herner, K. Hinton, S. R. Hollowood, D. L. Honscheid, K. Huterer, D. James, D. J. Kuehn, K. Lima, M. Marshall, J. L. Mena-Fernández, J. Menanteau, F. Miquel, R. Ogando, R. L. C. Palmese, A. Pieres, A. Malagón, A. A. Plazas Roodman, A. Samuroff, S. Sanchez, E. Cid, D. Sanchez Sevilla-Noarbe, I. Suchyta, E. Swanson, M. E. C. Tarle, G. To, C. Tucker, D. L. Vikram, V. Weaverdyck, N. Weller, J. Cosmology and Nongalactic Astrophysics Cosmological analyses with Type Ia Supernovae (SNe Ia) have traditionally been reliant on spectroscopy for both classifying the type of supernova and obtaining reliable redshifts to measure the distance-redshift relation. While obtaining a host-galaxy spectroscopic redshift for most SNe is feasible for small-area transient surveys, it will be too resource intensive for upcoming large-area surveys such as the Vera Rubin Observatory Legacy Survey of Space and Time, which will observe on the order of millions of SNe. Here we use data from the Dark Energy Survey (DES) to address this problem with photometric redshifts (photo-z) inferred directly from the SN light-curve in combination with Gaussian and full p(z) priors from host-galaxy photo-z estimates. Using the DES 5-year photometrically-classified SN sample, we consider several photo-z algorithms as host-galaxy photo-z priors, including the Self-Organizing Map redshifts (SOMPZ), Bayesian Photometric Redshifts (BPZ), and Directional-Neighbourhood Fitting (DNF) redshift estimates employed in the DES 3x2 point analyses. With detailed catalog-level simulations of the DES 5-year sample, we find that the simulated w can be recovered within $\pm$0.02 when using SN+SOMPZ or DNF prior photo-z, smaller than the average statistical uncertainty for these samples of 0.03. With data, we obtain biases in w consistent with simulations within ~1$σ$ for three of the five photo-z variants. We further evaluate how photo-z systematics interplay with photometric classification and find classification introduces a subdominant systematic component. This work lays the foundation for next-generation fully photometric SNe Ia cosmological analyses.
title	Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program
topic	Cosmology and Nongalactic Astrophysics
url	https://arxiv.org/abs/2407.16744