Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys
Abstract
Abstract We present the Cardinal mock galaxy catalogs, a new version of the Buzzard simulation that has been updated to support ongoing and future cosmological surveys, including the Dark Energy Survey (DES), DESI, and LSST. These catalogs are based on a one-quarter sky simulation populated with galaxies out to a redshift of z = 2.35 to a depth of m r = 27. Compared to the Buzzard mocks, the Cardinal mocks include an updated subhalo abundance matching model that considers orphan galaxies and includes mass-dependent scatter between galaxy luminosity and halo properties. This model can simultaneously fit galaxy clustering and group–galaxy cross-correlations measured in three different luminosity threshold samples. The Cardinal mocks also feature a new color assignment model that can simultaneously fit color-dependent galaxy clustering in three different luminosity bins. We have developed an algorithm that uses photometric data to further improve the color assignment model and have also developed a novel method to improve small-scale lensing below the ray-tracing resolution. These improvements enable the Cardinal mocks to accurately reproduce the abundance of galaxy clusters and the properties of lens galaxies in the DES data. As such, these simulations will be a valuable tool for future cosmological analyses basedmore »
- Publication Date:
- Research Org.:
- The Ohio State Univ., Columbus, OH (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP); National Aeronautics and Space Administration (NASA)
- OSTI Identifier:
- 2281268
- Alternate Identifier(s):
- OSTI ID: 2281317
- Grant/Contract Number:
- AC02-76SF00515; SC0011726; SC0021916; 15-WFIRST15-0008
- Resource Type:
- Published Article
- Journal Name:
- The Astrophysical Journal
- Additional Journal Information:
- Journal Name: The Astrophysical Journal Journal Volume: 961 Journal Issue: 1; Journal ID: ISSN 0004-637X
- Publisher:
- American Astronomical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS
Citation Formats
To, Chun-Hao, DeRose, Joseph, Wechsler, Risa H., Rykoff, Eli, Wu, Hao-Yi, Adhikari, Susmita, Krause, Elisabeth, Rozo, Eduardo, and Weinberg, David H. Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys. United States: N. p., 2024.
Web. doi:10.3847/1538-4357/ad0e61.
To, Chun-Hao, DeRose, Joseph, Wechsler, Risa H., Rykoff, Eli, Wu, Hao-Yi, Adhikari, Susmita, Krause, Elisabeth, Rozo, Eduardo, & Weinberg, David H. Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys. United States. https://doi.org/10.3847/1538-4357/ad0e61
To, Chun-Hao, DeRose, Joseph, Wechsler, Risa H., Rykoff, Eli, Wu, Hao-Yi, Adhikari, Susmita, Krause, Elisabeth, Rozo, Eduardo, and Weinberg, David H. Mon .
"Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys". United States. https://doi.org/10.3847/1538-4357/ad0e61.
@article{osti_2281268,
title = {Buzzard to Cardinal: Improved Mock Catalogs for Large Galaxy Surveys},
author = {To, Chun-Hao and DeRose, Joseph and Wechsler, Risa H. and Rykoff, Eli and Wu, Hao-Yi and Adhikari, Susmita and Krause, Elisabeth and Rozo, Eduardo and Weinberg, David H.},
abstractNote = {Abstract We present the Cardinal mock galaxy catalogs, a new version of the Buzzard simulation that has been updated to support ongoing and future cosmological surveys, including the Dark Energy Survey (DES), DESI, and LSST. These catalogs are based on a one-quarter sky simulation populated with galaxies out to a redshift of z = 2.35 to a depth of m r = 27. Compared to the Buzzard mocks, the Cardinal mocks include an updated subhalo abundance matching model that considers orphan galaxies and includes mass-dependent scatter between galaxy luminosity and halo properties. This model can simultaneously fit galaxy clustering and group–galaxy cross-correlations measured in three different luminosity threshold samples. The Cardinal mocks also feature a new color assignment model that can simultaneously fit color-dependent galaxy clustering in three different luminosity bins. We have developed an algorithm that uses photometric data to further improve the color assignment model and have also developed a novel method to improve small-scale lensing below the ray-tracing resolution. These improvements enable the Cardinal mocks to accurately reproduce the abundance of galaxy clusters and the properties of lens galaxies in the DES data. As such, these simulations will be a valuable tool for future cosmological analyses based on large sky surveys.},
doi = {10.3847/1538-4357/ad0e61},
journal = {The Astrophysical Journal},
number = 1,
volume = 961,
place = {United States},
year = {Mon Jan 15 00:00:00 EST 2024},
month = {Mon Jan 15 00:00:00 EST 2024}
}
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