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20122026
most cited3D-HST+CANDELS: The Evolution of the Galaxy Size-Mass Distribution since

1.4k citations · 15.5k across the 217 of their papers we have counts for

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Showing astro-ph.COShow all

16 papers · 1 filter

astro-ph.CO2026

pop-cosmos: Forward modeling KiDS-1000 redshift distributions using realistic galaxy populations

Boris Leistedt, Hiranya V. Peiris, Anik Halder +13

The accuracy of the cosmological constraints from Stage~IV galaxy surveys will be limited by how well the galaxy redshift distributions can be inferred. We have addressed this chal…

astro-ph.CO2025

The Mass-Metallicity Relation and its Observational Effects at z~3-6

Zach Lewis, Michael V. Maseda, Anna de Graaff +21

The correlation between galaxy stellar mass and gas-phase metallicity, known as the mass-metallicity relation (MZR), gives key insights into the processes that govern galaxy evolut…

astro-ph.CO2025★ 2 cited

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

Francesco Petri, Boris Leistedt, Daniel J. Mortlock +5

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 (…

astro-ph.CO2024

On the Significance of Covariance for Constraining Theoretical Models From Galaxy Observables

Yongseok Jo, Shy Genel, Joel Leja +1

In this study, we investigate the impact of covariance within uncertainties on the inference of cosmological and astrophysical parameters, specifically focusing on galaxy stellar m…

astro-ph.CO2024★ 11 cited

pop-cosmos: Scaleable inference of galaxy properties and redshifts with a data-driven population model

Stephen Thorp, Justin Alsing, Hiranya V. Peiris +5

We present an efficient Bayesian method for estimating individual photometric redshifts and galaxy properties under a pre-trained population model (pop-cosmos) that was calibrated…

astro-ph.CO2022★ 31 cited

Forward modeling of galaxy populations for cosmological redshift distribution inference

Justin Alsing, Hiranya Peiris, Daniel Mortlock +2

We present a forward modeling framework for estimating galaxy redshift distributions from photometric surveys. Our forward model is composed of: a detailed population model describ…