Abstract

Large simulation efforts are required to provide synthetic galaxy catalogs for ongoing and upcoming cosmology surveys. These extragalactic catalogs are being used for many diverse purposes covering a wide range of scientific topics. In order to be useful, they must offer realistically complex information about the galaxies they contain. Hence, it is critical to implement a rigorous validation procedure that ensures that the simulated galaxy properties faithfully capture observations and delivers an assessment of the level of realism attained by the catalog. We present here a suite of validation tests that have been developed by the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC). We discuss how the inclusion of each test is driven by the scientific targets for static ground-based dark energy science and by the availability of suitable validation data. The validation criteria that are used to assess the performance of a catalog are flexible and depend on the science goals. We illustrate the utility of this suite by showing examples for the validation of cosmoDC2, the extragalactic catalog recently released for the LSST DESC second Data Challenge.

Highlights

  • We present here a suite of validation tests that have been developed by the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC)

  • We describe the implementation details and discuss the validation criteria set by the relevant LSST DESC Working Groups (WGs)

  • The validation criteria set by the LSST DESC weak lensing (WL) and large-scale structure (LSS) groups required that the number counts for cosmoDC2 lie within this grey band in the magnitude range 24 < r < 27.5, which is indicated by the vertical shade band in the figure

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Summary

INTRODUCTION

Within the collaboration, Working Groups (WGs) have been convened to develop and test a variety of scientific analyses and make forecasts for the precision with which the parameters describing the behavior of dark energy can be constrained (The LSST Dark Energy Science Collaboration 2018a) These activities would not be possible without an extensive and contemporaneous simulation campaign that is designed to provide synthetic galaxy catalogs with various levels of realism. 2 https://lsstdesc.org/pages/organization.html suite is representative of the set of tests required to evaluate the realism of synthetic galaxy catalogs targeted for studying dark energy science in optical imaging surveys, both and in the future. We present here a validation test suite designed to evaluate simulated galaxy catalogs that have been targeted for ground-based imaging surveys focused on dark energy science.

CONSTRUCTION OF THE VALIDATION TEST SUITE
Scientific Drivers and Critical Properties
Galaxy Number-Density Data Sets
Number Density Tests
Galaxy Shape, Size and Morphology Data Sets
Size, Shape and Morphology Tests
Correlation-Function Data Sets
Correlation Function Tests
Galaxy Cluster Validation Data
Galaxy Cluster Tests
Emission Line Data Sets
Emission-Line Tests
Stellar Mass Function Data Sets
Stellar Mass Function Tests
Catalog Verification
Summary
Simulations
VALIDATION TEST RESULTS FOR COSMODC2
The Validation Framework
Cumulative Galaxy Number Density
Redshift Distributions
Color Distributions
Color–Color Distributions
Position Angle Distribution
Size Distribution
Size–Luminosity Relations
Total Light Profile
Disk and Bulge Light Profiles
Ellipticity Distribution
Galaxy-Galaxy Angular Correlation Function
4.10. Galaxy Bias
4.11.1. Luminosity Dependence
4.11.2. Color dependence
4.11.3. Clustering at Higher Redshift
4.12. Shear–Shear Correlation
4.13. Galaxy–Shear Correlation
4.13.1. The SDSS LOWZ Sample
4.13.2. The SDSS Locally Bright Galaxy Sample
4.14. Red-Sequence Color
4.15. Cluster Member-Galaxy Magnitude Evolution
4.16. Conditional Luminosity Function
4.17. Galaxy Density Profiles around Clusters
4.18. The Mass-Richness Relation
4.19. Cluster Weak-lensing Masses
4.20. Velocity Dispersion in Clusters
4.21. Emission-Line Ratios
4.22.1. Redshift Dependence
4.22.2. SMF for a CMASS Galaxy Sample
SUMMARY AND DISCUSSION
Results
SNAPSHOTS OF READINESS TESTS
MASS CONVERSIONS

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