Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era

Kovacs, Eve; Mao, Yao-Yuan; Aguena, Michel; Bahmanyar, Anita; Broussard, Adam; Butler, James; Campbell, Duncan; Chang, Chihway; Fu, Shenming; Heitmann, Katrin; Korytov, Danila; Lanusse, François; Larsen, Patricia; Mandelbaum, Rachel; Morrison, Christopher B.; Payerne, Constantin; Ricci, Marina; Rykoff, Eli; Sánchez, F. Javier; Sevilla-Noarbe, Ignacio; Simet, Melanie; To, Chun-Hao; Vikraman, Vinu; Zhou, Rongpu; Avestruz, Camille; Benoist, Christophe; Benson, Andrew J.; Bleem, Lindsey; Ćiprianović, Aleksandra; Combet, Céline; Gawiser, Eric; He, Shiyuan; Joseph, Remy; Newman, Jeffrey A.; Prat, Judit; Schmidt, Samuel; Slosar, Anže; Zuntz, Joe

doi:10.21105/astro.2110.03769

Title: Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era

Full Record
Other Related Research

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.

Authors:: Kovacs, Eve; Mao, Yao-Yuan; Aguena, Michel; Bahmanyar, Anita; Broussard, Adam; Butler, James; Campbell, Duncan; Chang, Chihway; Fu, Shenming; Heitmann, Katrin; Korytov, Danila; Lanusse, François; Larsen, Patricia; Mandelbaum, Rachel; Morrison, Christopher B.; Payerne, Constantin; Ricci, Marina; Rykoff, Eli; Sánchez, F. Javier; Sevilla-Noarbe, Ignacio more »« less

Publication Date:: Mon Jan 17 00:00:00 EST 2022

Research Org.:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Carnegie Mellon Univ., Pittsburgh, PA (United States); Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

Contributing Org.:: The LSST Dark Energy Science Collaboration

OSTI Identifier:: 1831897

Alternate Identifier(s):: OSTI ID: 1906903; OSTI ID: 1984469

Report Number(s):: FERMILAB-PUB-21-524-SCD; arXiv:2110.03769
Journal ID: ISSN 2565-6120; oai:inspirehep.net:1940598; TRN: US2216664

Grant/Contract Number:: AC02-07CH11359; SC0010118; SC0019193

Resource Type:: Accepted Manuscript

Journal Name:: The Open Journal of Astrophysics

Additional Journal Information:: Journal Volume: 5; Journal ID: ISSN 2565-6120

Publisher:: Maynooth Academic Publishing

Country of Publication:: United States

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

Citation Formats


                    Kovacs, Eve, Mao, Yao-Yuan, Aguena, Michel, Bahmanyar, Anita, Broussard, Adam, Butler, James, Campbell, Duncan, Chang, Chihway, Fu, Shenming, Heitmann, Katrin, Korytov, Danila, Lanusse, François, Larsen, Patricia, Mandelbaum, Rachel, Morrison, Christopher B., Payerne, Constantin, Ricci, Marina, Rykoff, Eli, Sánchez, F. Javier, Sevilla-Noarbe, Ignacio, Simet, Melanie, To, Chun-Hao, Vikraman, Vinu, Zhou, Rongpu, Avestruz, Camille, Benoist, Christophe, Benson, Andrew J., Bleem, Lindsey, Ćiprianović, Aleksandra, Combet, Céline, Gawiser, Eric, He, Shiyuan, Joseph, Remy, Newman, Jeffrey A., Prat, Judit, Schmidt, Samuel, Slosar, Anže, and Zuntz, Joe. Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era.  United States: N. p., 2022. 
Web.  doi:10.21105/astro.2110.03769.

Copy to clipboard


                    Kovacs, Eve, Mao, Yao-Yuan, Aguena, Michel, Bahmanyar, Anita, Broussard, Adam, Butler, James, Campbell, Duncan, Chang, Chihway, Fu, Shenming, Heitmann, Katrin, Korytov, Danila, Lanusse, François, Larsen, Patricia, Mandelbaum, Rachel, Morrison, Christopher B., Payerne, Constantin, Ricci, Marina, Rykoff, Eli, Sánchez, F. Javier, Sevilla-Noarbe, Ignacio, Simet, Melanie, To, Chun-Hao, Vikraman, Vinu, Zhou, Rongpu, Avestruz, Camille, Benoist, Christophe, Benson, Andrew J., Bleem, Lindsey, Ćiprianović, Aleksandra, Combet, Céline, Gawiser, Eric, He, Shiyuan, Joseph, Remy, Newman, Jeffrey A., Prat, Judit, Schmidt, Samuel, Slosar, Anže, & Zuntz, Joe. Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era.  United States.  https://doi.org/10.21105/astro.2110.03769

Copy to clipboard


                    Kovacs, Eve, Mao, Yao-Yuan, Aguena, Michel, Bahmanyar, Anita, Broussard, Adam, Butler, James, Campbell, Duncan, Chang, Chihway, Fu, Shenming, Heitmann, Katrin, Korytov, Danila, Lanusse, François, Larsen, Patricia, Mandelbaum, Rachel, Morrison, Christopher B., Payerne, Constantin, Ricci, Marina, Rykoff, Eli, Sánchez, F. Javier, Sevilla-Noarbe, Ignacio, Simet, Melanie, To, Chun-Hao, Vikraman, Vinu, Zhou, Rongpu, Avestruz, Camille, Benoist, Christophe, Benson, Andrew J., Bleem, Lindsey, Ćiprianović, Aleksandra, Combet, Céline, Gawiser, Eric, He, Shiyuan, Joseph, Remy, Newman, Jeffrey A., Prat, Judit, Schmidt, Samuel, Slosar, Anže, and Zuntz, Joe. Mon .  
"Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era".  United States.  https://doi.org/10.21105/astro.2110.03769.  https://www.osti.gov/servlets/purl/1831897.

Copy to clipboard


                    
@article{osti_1831897,

  title        = {Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era},

  author       = {Kovacs, Eve and Mao, Yao-Yuan and Aguena, Michel and Bahmanyar, Anita and Broussard, Adam and Butler, James and Campbell, Duncan and Chang, Chihway and Fu, Shenming and Heitmann, Katrin and Korytov, Danila and Lanusse, François and Larsen, Patricia and Mandelbaum, Rachel and Morrison, Christopher B. and Payerne, Constantin and Ricci, Marina and Rykoff, Eli and Sánchez, F. Javier and Sevilla-Noarbe, Ignacio and Simet, Melanie and To, Chun-Hao and Vikraman, Vinu and Zhou, Rongpu and Avestruz, Camille and Benoist, Christophe and Benson, Andrew J. and Bleem, Lindsey and Ćiprianović, Aleksandra and Combet, Céline and Gawiser, Eric and He, Shiyuan and Joseph, Remy and Newman, Jeffrey A. and Prat, Judit and Schmidt, Samuel and Slosar, Anže and Zuntz, Joe},

  abstractNote = {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.},

  doi          = {10.21105/astro.2110.03769},

  journal      = {The Open Journal of Astrophysics},

  number       = ,

  volume       = 5,

  place        = {United States},

  year         = {Mon Jan 17 00:00:00 EST 2022},

  month        = {Mon Jan 17 00:00:00 EST 2022}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.21105/astro.2110.03769

Other availability

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST

Journal Article Prat, J. ; Zuntz, J. ; Chang, C. ; ... - The Open Journal of Astrophysics

We present TXPipe, a modular, automated and reproducible pipeline for ingesting catalog data and performing all the calculations required to obtain quality-assured two-point measurements of lensing and clustering, and their covariances, with the metadata necessary for parameter estimation. The pipeline is developed within the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC), and designed for cosmology analyses using LSST data. In this paper, we present the pipeline for the so-called 3x2pt analysis -- a combination of three two-point functions that measure the auto- and cross-correlation between galaxy density and shapes. We perform the analysismore »« less
https://doi.org/10.21105/astro.2212.09345

Full Text Available
CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST

Journal Article Korytov, Danila ; Hearin, Andrew ; Kovacs, Eve ; ... - The Astrophysical Journal. Supplement Series (Online)

This paper introduces cosmoDC2, a large synthetic galaxy catalog designed to support precision dark energy science with the Large Synoptic Survey Telescope (LSST). CosmoDC2 is the starting point for the second data challenge (DC2) carried out by the LSST Dark Energy Science Collaboration (LSST DESC). The catalog is based on a trillion-particle, 4.225 Gpc^3 box cosmological N-body simulation, the `Outer Rim' run. It covers 440 deg^2 of sky area to a redshift of z=3 and is complete to a magnitude depth of 28 in the r-band. Each galaxy is characterized by a multitude of properties including stellar mass, morphology, spectralmore »« less
Cited by 40
https://doi.org/10.3847/1538-4365/ab510c

Full Text Available
Perturbation theory models for LSST-era galaxy clustering: Tests with subpercent mock catalog measurements in Fourier and configuration space

Journal Article Goldstein, Samuel ; Pandey, Shivam ; Slosar, Anže ; ... - Physical Review. D.

Here, we analyze the clustering of galaxies using the z = 1.006 snapshot of the CosmoDC2 simulation, a high-fidelity synthetic galaxy catalog designed to validate analysis methods for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). We present sub-percent measurements of the galaxy auto-correlation and galaxy-dark matter cross correlations in Fourier space and configuration space for a magnitude-limited galaxy sample. At these levels of precision, the statistical errors of the measurement are comparable to the systematic effects present in the simulation and measurement procedure; nevertheless, using a hybrid-PT model, we are able to model non-linear galaxymore »« less
https://doi.org/10.1103/physrevd.105.123518

Full Text Available
The LSST DESC data challenge 1: generation and analysis of synthetic images for next-generation surveys

Journal Article Sánchez, J. ; Walter, C. W. ; Awan, H. ; ... - Monthly Notices of the Royal Astronomical Society

Data Challenge 1 (DC1) is the first synthetic data set produced by the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC). DC1 is designed to develop and validate data reduction and analysis and to study the impact of systematic effects that will affect the LSST data set. DC1 is comprised of r-band observations of 40 deg2 to 10 yr LSST depth. We present each stage of the simulation and analysis process: (a) generation, by synthesizing sources from cosmological N-body simulations in individual sensor-visit images with different observing conditions; (b) reduction using a development version ofmore »« less
https://doi.org/10.1093/mnras/staa1957
CLMM : a LSST-DESC cluster weak lensing mass modeling library for cosmology

Journal Article Aguena, M. ; Avestruz, C. ; Combet, C. ; ... - Monthly Notices of the Royal Astronomical Society

We present the v1.0 release of CLMM, an open source python library for the estimation of the weak lensing masses of clusters of galaxies. CLMM is designed as a stand-alone toolkit of building blocks to enable end-to-end analysis pipeline validation for upcoming cluster cosmology analyses such as the ones that will be performed by the Vera C. Rubin Legacy Survey of Space and Time-Dark Energy Science Collaboration (LSST-DESC). Its purpose is to serve as a flexible, easy-to-install, and easy-to-use interface for both weak lensing simulators and observers and can be applied to real and mock data to study the systematicsmore »« less
https://doi.org/10.1093/mnras/stab2764

Similar Records