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

Kovacs, E.; Mao, Yao-Yuan; Aguena, M.; Bahmanyar, Anita; Broussard, Adam; Butler, James A.; Campbell, Duncan; Chang, C.; Fu, Shenming; Heitmann, Katrin; Korytov, Danila; Lanusse, François; Larsen, Patricia; Mandelbaum, Rachel; Morrison, Christopher; Payerne, Constantin; Ricci, M.; Rykoff, E. S.; Sánchez, Francisco Javier Martín; Sevilla-Noarbe, I.; Simet, Melanie; To, C.; Vikraman, Vinu; Zhou, Rongpu; Avestruz, Camille; Benoist, Christophe; Benson, Andrew; Bleem, Lindsey; Ćiprianović, Aleksandra; Combet, C.; Gawiser, Eric; He, Shiyuan; Joseph, R.; Newman, Jeffrey A.; Prat, J.; Schmidt, Samuel J.; Slosar, Anže; Zuntz, Joe

doi:10.21105/astro.2110.03769

Cited by 13 publications

(8 citation statements)

References 147 publications

(240 reference statements)

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“…The simulation begins with a cosmological 𝑁-body simulation (Heitmann et al 2019) populated with galaxies (Benson 2012;Hearin et al 2020). This forms the basis for the cosmoDC2 simulated extragalactic sky (Korytov et al 2019;Kovacs et al 2022), which includes a superset of the region simulated in this paper. This is integrated with a local Universe simulation and a telescope + instrument simulation for the Rubin Observatory (LSST Dark Energy Science Collaboration et al 2021a,b).…”

Section: The Roman + Rubin Simulationsmentioning

confidence: 99%

“…The recent joint Roman+Rubin simulations (Troxel et al 2022), built on top of the Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC) Data Challenge 2 (DC2) simulations (Korytov et al 2019;LSST Dark Energy Science Collaboration et al 2021a,b;Kovacs et al 2022), provide an opportunity to test out algorithms to recover full sampling as part of an integrated simulation and processing pipeline suite, and explore the implications for Roman weak lensing analyses. This is the first in a series of papers that develops and tests an implementation of the I algorithm (Rowe et al 2011) on a simulation of part of the Roman Reference Survey.…”

Section: Introductionmentioning

confidence: 99%

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Simulating image coaddition with the Nancy Grace Roman Space Telescope: I. Simulation methodology and general results

Hirata¹,

Yamamoto²,

Laliotis³

et al. 2023

Preprint

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The upcoming Nancy Grace Roman Space Telescope will carry out a wide-area survey in the near infrared. A key science objective is the measurement of cosmic structure via weak gravitational lensing. Roman data will be undersampled, which introduces new challenges in the measurement of source galaxy shapes; a potential solution is to use linear algebra-based coaddition techniques such as I that combine multiple undersampled images to produce a single oversampled output mosaic with a desired "target" point spread function (PSF). We present here an initial application of I to 0.64 square degrees of simulated Roman data, based on the Roman branch of the Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC) Data Challenge 2 (DC2) simulation. We show that I runs successfully on simulated data that includes features such as plate scale distortions, chip gaps, detector defects, and cosmic ray masks. We simultaneously propagate grids of injected sources and simulated noise fields as well as the full simulation. We quantify the residual deviations of the PSF from the target (the "fidelity"), as well as noise properties of the output images; we discuss how the overall tiling pattern as well as Moiré patterns appear in the final fidelity and noise maps. We include appendices on interpolation algorithms and the interaction of undersampling with image processing operations that may be of broader applicability. The companion paper ("Paper II") explores the implications for weak lensing analyses.

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Section: The Roman + Rubin Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulating image coaddition with the Nancy Grace Roman Space Telescope: I. Simulation methodology and general results

Hirata¹,

Yamamoto²,

Laliotis³

et al. 2023

Preprint

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“…we test the full 3×2pt data vector in both real and harmonic space here). In particular, we run TXPipe on the LSST DESC simulation suite CosmoDC2 (Korytov et al 2019;Kovacs et al 2022).…”

Section: Application To Cosmodc2mentioning

confidence: 99%

“…that would otherwise be hard to track. Here we illustrate this point by giving examples of the aftermath of such a comparison, in particular of the one comparing the realspace two-point correlation function measurements and theory data vectors from TXPipe's output to the ones from another DESC code, DESCQA 32 , previously validated in Kovacs et al (2022). From this comparison we identified:…”

Section: Aftermath Of the Code Comparison With Descqa And Validation ...mentioning

confidence: 99%

“…Here we target the pipeline requirement for the 3×2pt cosmology analysis using the first year (Y1) of LSST data as it is the first near-term goal we expect from LSST. To perform the validation we use two sets of complementary mock galaxy catalogs: first, a set of simple Gaussian simulations to test that the basic measurements of the estimators do indeed recover the input signal; second, the DESC CosmoDC2 catalog presented and validated in Korytov et al (2019) and Kovacs et al (2022) to test the various functionalities in TXPipe that involve more realistic galaxy properties. We compare the measurements and the theory prediction both at the data vector level and at the level of the cosmological constraints.…”

Section: Introductionmentioning

confidence: 99%

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

Prat¹,

Zuntz²,

C.³

et al. 2023

TheOJA

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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 "3×2pt" analysis -a combination of three twopoint functions that measure the auto-and cross-correlation between galaxy density and shapes. We perform the analysis both in real and harmonic space using TXPipe and other LSST-DESC tools. We validate the pipeline using Gaussian simulations and show that it accurately measures data vectors and recovers the input cosmology to the accuracy level required for the first year of LSST data under this simplified scenario. We also apply the pipeline to a realistic mock galaxy sample extracted from the CosmoDC2 simulation suite (Korytov et al. 2019). TXPipe establishes a baseline framework that can be built upon as the LSST survey proceeds. Furthermore, the pipeline is designed to be easily extended to science probes beyond the 3×2pt analysis. Subject headings: methods: statistical -dark energy -large-scale structure of the universe

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MAMBO: An empirical galaxy and AGN mock catalogue for the exploitation of future surveys

López-López,

Bolzonella,

Pozzetti

et al. 2024

A&A

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Current and future large surveys will produce unprecedented amounts of data. Realistic simulations have become essential for the design and development of these surveys, as well as for the interpretation of the results. We present MAMBO, a flexible and efficient workflow to build empirical galaxy and active galactic nucleus (AGN) mock catalogues that reproduce the physical and observational properties of these sources. We started with simulated dark matter (DM) haloes, to preserve the link with the cosmic web, and we populated them with galaxies and AGN using abundance matching techniques. We followed an empirical methodology, using stellar mass functions, host galaxy AGN mass functions, and AGN accretion rate distribution functions studied at different redshifts to assign, among other properties, stellar masses, the fraction of quenched galaxies, or the AGN activity (demography, obscuration, multiwavelength emission, etc.). As a proof test, we applied the method to a Millennium DM lightcone of 3.14 $ deg^2$ up to a redshift of $z=10$ and down to stellar masses of $ M \, M_ We show that the AGN population from the mock lightcone presented here reproduces with good accuracy various observables, such as state-of-the-art luminosity functions in the X-ray up to $z 7$ and in the ultraviolet up to $z 5$, optical/near-infrared colour-colour diagrams, and narrow emission line diagnostic diagrams. Finally, we demonstrate how this catalogue can be used to make useful predictions for large surveys. Using Euclid as a case example, we compute, among other forecasts, the expected surface densities of galaxies and AGN detectable in the Euclid $H_ E $ band. We find that Euclid might observe (on $H_ E $ only) about $10^ $ and $8 $ type 1 and 2 AGN, respectively, and $2 $ galaxies at the end of its $ deg^2$ Wide survey, in good agreement with other published forecasts.

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

Cited by 13 publications

References 147 publications

Simulating image coaddition with the Nancy Grace Roman Space Telescope: I. Simulation methodology and general results

Simulating image coaddition with the Nancy Grace Roman Space Telescope: I. Simulation methodology and general results

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

MAMBO: An empirical galaxy and AGN mock catalogue for the exploitation of future surveys

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