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Title: Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis

Abstract

The calibration and validation of scientific analysis in simulations is a fundamental tool to ensure unbiased and robust results in observational cosmology. In particular, mock galaxy catalogs are a crucial resource to achieve these goals in the measurement of baryon acoustic oscillation (BAO) in the clustering of galaxies. Here we present a set of 1952 galaxy mock catalogs designed to mimic the Dark Energy Survey Year 3 BAO sample over its full photometric redshift range 0.6 < zphoto < 1.1. The mocks are based upon 488 ICE-COLA fast N-body simulations of full-sky light cones and were created by populating halos with galaxies, using a hybrid halo occupation distribution – halo abundance matching model. This model has ten free parameters, which were determined, for the first time, using an automatic likelihood minimization procedure. We also introduced a novel technique to assign photometric redshift for simulated galaxies, following a two-dimensional probability distribution with VIMOS Public Extragalactic Redshift Survey data. The calibration was designed to match the observed abundance of galaxies as a function of photometric redshift, the distribution of photometric redshift errors, and the clustering amplitude on scales smaller than those used for BAO measurements. An exhaustive analysis was done to ensuremore » that the mocks reproduce the input properties. Lastly, mocks were tested by comparing the angular correlation function w(θ), angular power spectrum Cℓ, and projected clustering ξp(r⊥) to theoretical predictions and data. The impact of volume replication in the estimate of the covariance is also investigated. Furthermore, the success in accurately reproducing the photometric redshift uncertainties and the galaxy clustering as a function of redshift render this mock creation pipeline as a benchmark for future analyses of photometric galaxy surveys.« less

Authors:
ORCiD logo; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ORCiD logo; ; ; ; ; ; « less
Publication Date:
Research Org.:
Univ. of Michigan, Ann Arbor, MI (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Basic Energy Sciences (BES)
Contributing Org.:
DES Collaboration
OSTI Identifier:
1872967
Alternate Identifier(s):
OSTI ID: 1831978; OSTI ID: 1862931; OSTI ID: 1883730
Report Number(s):
FERMILAB-PUB-21-311-AE
Journal ID: ISSN 0004-6361; 734374; TRN: US2306961
Grant/Contract Number:  
SC0019193; AC02-07CH11359; AC02-76SF00515; AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Astronomy and Astrophysics
Additional Journal Information:
Journal Volume: 656; Journal ID: ISSN 0004-6361
Publisher:
EDP Sciences
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; catalogs; large-scale structure of Universe; galaxies: distances and redshifts; Galaxy: halo; methods: numerical

Citation Formats

Ferrero, I., Crocce, M., Tutusaus, I., Porredon, A., Blot, L., Fosalba, P., Carnero Rosell, A., Avila, S., Izard, A., Elvin-Poole, J., Chan, K. C., Camacho, H., Rosenfeld, R., Sanchez, E., Tallada-Crespí, P., Carretero, J., Sevilla-Noarbe, I., Gaztanaga, E., Andrade-Oliveira, F., De Vicente, J., Mena-Fernández, J., Ross, A. J., Sanchez Cid, D., Ferté, A., Brandao-Souza, A., Fang, X., Krause, E., Gomes, D., Aguena, M., Allam, S., Annis, J., Bertin, E., Brooks, D., Carrasco Kind, M., Castander, F. J., Cawthon, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Evrard, A. E., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Lima, M., Maia, M. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. C., Palmese, A., Paz-Chinchón, F., Percival, W. J., Plazas Malagón, A. A., Rodriguez-Monroy, M., Scarpine, V., Schubnell, M., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, Eric, Swanson, M. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., and Varga, T. N. Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis. United States: N. p., 2021. Web. doi:10.1051/0004-6361/202141744.
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Ferrero, I., Crocce, M., Tutusaus, I., Porredon, A., Blot, L., Fosalba, P., Carnero Rosell, A., Avila, S., Izard, A., Elvin-Poole, J., Chan, K. C., Camacho, H., Rosenfeld, R., Sanchez, E., Tallada-Crespí, P., Carretero, J., Sevilla-Noarbe, I., Gaztanaga, E., Andrade-Oliveira, F., De Vicente, J., Mena-Fernández, J., Ross, A. J., Sanchez Cid, D., Ferté, A., Brandao-Souza, A., Fang, X., Krause, E., Gomes, D., Aguena, M., Allam, S., Annis, J., Bertin, E., Brooks, D., Carrasco Kind, M., Castander, F. J., Cawthon, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Evrard, A. E., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Lima, M., Maia, M. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. C., Palmese, A., Paz-Chinchón, F., Percival, W. J., Plazas Malagón, A. A., Rodriguez-Monroy, M., Scarpine, V., Schubnell, M., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, Eric, Swanson, M. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., & Varga, T. N. Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis. United States. https://doi.org/10.1051/0004-6361/202141744
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Ferrero, I., Crocce, M., Tutusaus, I., Porredon, A., Blot, L., Fosalba, P., Carnero Rosell, A., Avila, S., Izard, A., Elvin-Poole, J., Chan, K. C., Camacho, H., Rosenfeld, R., Sanchez, E., Tallada-Crespí, P., Carretero, J., Sevilla-Noarbe, I., Gaztanaga, E., Andrade-Oliveira, F., De Vicente, J., Mena-Fernández, J., Ross, A. J., Sanchez Cid, D., Ferté, A., Brandao-Souza, A., Fang, X., Krause, E., Gomes, D., Aguena, M., Allam, S., Annis, J., Bertin, E., Brooks, D., Carrasco Kind, M., Castander, F. J., Cawthon, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Evrard, A. E., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Lima, M., Maia, M. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. C., Palmese, A., Paz-Chinchón, F., Percival, W. J., Plazas Malagón, A. A., Rodriguez-Monroy, M., Scarpine, V., Schubnell, M., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, Eric, Swanson, M. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., and Varga, T. N. Thu . "Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis". United States. https://doi.org/10.1051/0004-6361/202141744. https://www.osti.gov/servlets/purl/1872967.
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@article{osti_1872967,
title = {Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis},
author = {Ferrero, I. and Crocce, M. and Tutusaus, I. and Porredon, A. and Blot, L. and Fosalba, P. and Carnero Rosell, A. and Avila, S. and Izard, A. and Elvin-Poole, J. and Chan, K. C. and Camacho, H. and Rosenfeld, R. and Sanchez, E. and Tallada-Crespí, P. and Carretero, J. and Sevilla-Noarbe, I. and Gaztanaga, E. and Andrade-Oliveira, F. and De Vicente, J. and Mena-Fernández, J. and Ross, A. J. and Sanchez Cid, D. and Ferté, A. and Brandao-Souza, A. and Fang, X. and Krause, E. and Gomes, D. and Aguena, M. and Allam, S. and Annis, J. and Bertin, E. and Brooks, D. and Carrasco Kind, M. and Castander, F. J. and Cawthon, R. and Choi, A. and Conselice, C. and Costanzi, M. and da Costa, L. N. and Pereira, M. S. and Diehl, H. T. and Doel, P. and Drlica-Wagner, A. and Everett, S. and Evrard, A. E. and Flaugher, B. and Frieman, J. and García-Bellido, J. and Gerdes, D. W. and Gruen, D. and Gruendl, R. A. and Gschwend, J. and Gutierrez, G. and Hinton, S. R. and Hollowood, D. L. and Honscheid, K. and Hoyle, B. and Huterer, D. and James, D. J. and Kuehn, K. and Lima, M. and Maia, M. G. and Marshall, J. L. and Menanteau, F. and Miquel, R. and Morgan, R. and Muir, J. and Ogando, R. C. and Palmese, A. and Paz-Chinchón, F. and Percival, W. J. and Plazas Malagón, A. A. and Rodriguez-Monroy, M. and Scarpine, V. and Schubnell, M. and Serrano, S. and Smith, M. and Soares-Santos, M. and Suchyta, Eric and Swanson, M. C. and Tarle, G. and Thomas, D. and To, C. and Tucker, D. L. and Varga, T. N.},
abstractNote = {The calibration and validation of scientific analysis in simulations is a fundamental tool to ensure unbiased and robust results in observational cosmology. In particular, mock galaxy catalogs are a crucial resource to achieve these goals in the measurement of baryon acoustic oscillation (BAO) in the clustering of galaxies. Here we present a set of 1952 galaxy mock catalogs designed to mimic the Dark Energy Survey Year 3 BAO sample over its full photometric redshift range 0.6 < zphoto < 1.1. The mocks are based upon 488 ICE-COLA fast N-body simulations of full-sky light cones and were created by populating halos with galaxies, using a hybrid halo occupation distribution – halo abundance matching model. This model has ten free parameters, which were determined, for the first time, using an automatic likelihood minimization procedure. We also introduced a novel technique to assign photometric redshift for simulated galaxies, following a two-dimensional probability distribution with VIMOS Public Extragalactic Redshift Survey data. The calibration was designed to match the observed abundance of galaxies as a function of photometric redshift, the distribution of photometric redshift errors, and the clustering amplitude on scales smaller than those used for BAO measurements. An exhaustive analysis was done to ensure that the mocks reproduce the input properties. Lastly, mocks were tested by comparing the angular correlation function w(θ), angular power spectrum Cℓ, and projected clustering ξp(r⊥) to theoretical predictions and data. The impact of volume replication in the estimate of the covariance is also investigated. Furthermore, the success in accurately reproducing the photometric redshift uncertainties and the galaxy clustering as a function of redshift render this mock creation pipeline as a benchmark for future analyses of photometric galaxy surveys.},
doi = {10.1051/0004-6361/202141744},
journal = {Astronomy and Astrophysics},
number = ,
volume = 656,
place = {United States},
year = {Thu Dec 09 00:00:00 EST 2021},
month = {Thu Dec 09 00:00:00 EST 2021}
}
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