Impact of redshift distribution uncertainties on Lyman-break galaxy cosmological parameter inference

Abstract

A significant number of Lyman-break galaxies (LBGs) with redshifts 3 < z < 5 are expected to be observed by the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). This will enable us to probe the universe at higher redshifts than is currently possible with cosmological galaxy clustering and weak lensing surveys. However, accurate inference of cosmological parameters requires precise knowledge of the redshift distributions of selected galaxies, where the number of faint objects expected from LSST alone will make spectroscopic based methods of determining these distributions extremely challenging. To overcome this difficulty, it may be possible to leverage the information in the large volume of photometric data alone to precisely infer these distributions. This could be facilitated using forward models, where in this paper we use stellar population synthesis (SPS) to estimate uncertainties on LBG redshift distributions for a 10 year LSST (LSSTY10) survey. We characterise some of the modelling uncertainties inherent to SPS by introducing a flexible parameterisation of the galaxy population prior, informed by observations of the galaxy stellar mass function (GSMF) and cosmic star formation density (CSFRD). These uncertainties are subsequently marginalised over and propagated to cosmological constraints in a Fisher forecast. Assuming a known dust attenuation model for LBGs, we forecast constraints on the sigma8 parameter comparable to Planck cosmic microwave background (CMB) constraints.

References in corpus (32)

• Modules for Experiments in Stellar Astrophysics (MESA)
• Infrared Emission from Interstellar Dust. IV. The Silicate-Graphite-PAH Model in the Post-Spitzer Era
• Mass and environment as drivers of galaxy evolution in SDSS and zCOSMOS and the origin of the Schechter function
• The Cosmic Evolution Survey (COSMOS) -- Overview
• The propagation of uncertainties in stellar population synthesis modeling I: The relevance of uncertain aspects of stellar evolution and the IMF to the derived physical properties of galaxies
• AGN Dusty Tori: I. Handling of Clumpy Media
• Euclid. I. Overview of the Euclid mission
• COSMOS2020: A panchromatic view of the Universe to $z\sim 10$ from two complementary catalogs
• The Mass-Metallicity and the Fundamental Metallicity Relation revisited on a fully Te-based abundance scale for galaxies
• Calibrating Redshift Distributions Beyond Spectroscopic Limits with Cross-Correlations
• Estimating the Redshift Distribution of Faint Galaxy Samples
• Observations of the Lyman-$\alpha$ Universe
• COSMOS2020: The Galaxy Stellar Mass Function: the assembly and star formation cessation of galaxies at $0.2<z\le 7.5$
• The contribution of star formation and merging to stellar mass buildup in galaxies
• Photometric Redshifts for Next-Generation Surveys
• Galaxy Build-up in the first 1.5 Gyr of Cosmic History: Insights from the Stellar Mass Function at $z\sim 4-9$ from JWST NIRCam Observations
• Hyper Suprime-Cam Year 3 Results: Cosmology from Galaxy Clustering and Weak Lensing with HSC and SDSS using the Minimal Bias Model
• Reconciling the observed star-forming sequence with the observed stellar mass function
• Inferring More from Less: Prospector as a Photometric Redshift Engine in the Era of JWST
• JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library
• Constraints on the Faint End of the Galaxy Stellar Mass Function at z ~ 4-8 from Deep JWST Data
• Modeling CMB Lensing Cross Correlations with {\sc CLEFT}
• A Bayesian Population Model for the Observed Dust Attenuation in Galaxies
• Forward modeling of galaxy populations for cosmological redshift distribution inference
• The Stellar Mass Function in CANDELS and Frontier Fields: the build-up of low mass passive galaxies since z~3
• Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows
• pop-cosmos: A comprehensive picture of the galaxy population from COSMOS data
• Analytical marginalisation over photometric redshift uncertainties in cosmic shear analyses
• High redshift LBGs from deep broadband imaging for future spectroscopic surveys
• pop-cosmos: Insights from generative modeling of a deep, infrared-selected galaxy population
• Quantifying the Impact of LSST $u$-band Survey Strategy on Photometric Redshift Estimation and the Detection of Lyman-break Galaxies
• Probing Environmental Dependence of High-Redshift Galaxy Properties with the Marked Correlation Function

Cited by in corpus (1)

• pop-cosmos: Star formation over 12 Gyr from generative modelling of a deep infrared-selected galaxy catalogue