208 citations · 2.3k across the 64 of their papers we have counts for
66 papers
pop-cosmos: Disentangling galaxy properties from observables using data-driven approaches
Benedict Van den Bussche, Sinan Deger, Hiranya V. Peiris +6
The physical processes that shape a galaxy's spectrum are strongly degenerate in observations, obscuring which processes act independently. Leveraging the pop-cosmos generative gal…
pop-cosmos: Galaxy size evolution across structural and star-formation classifications in COSMOS-Web
Madalina N. Tudorache, Hiranya V. Peiris, Stephen Thorp +7
Galaxy sizes are correlated with stellar mass and redshift, as characterised by size scaling relations. The inferred forms of these scaling relations are sensitive to how galaxies…
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…
pop-cosmos: Redshifts and physical properties of KiDS-1000 galaxies
Anik Halder, Hiranya V. Peiris, Stephen Thorp +8
Principled Bayesian inference of galaxy properties has not previously been performed for wide-area weak lensing surveys with millions of sources. We address this gap by applying th…
Uniform Rolling: An LSST Observing Cadence Offering Sufficient Survey Uniformity for Comprehensive Cosmological Analysis
Boris Leistedt, Matthew R. Becker, Humna Awan +14
The Legacy Survey of Space and Time (LSST) that will be carried out by the NSF-DOE Vera C. Rubin Observatory promises to be the defining survey of the next decade, supplying unprec…
Systematics mitigation for catalogue-based angular power spectra
Thomas Cornish, David Alonso, Boris Leistedt +1
Recent work has developed a formalism for computing angular power spectra directly from catalogues containing field values at discrete positions on the sky, thereby circumventing t…
pop-cosmos: Star formation over 12 Gyr from generative modelling of a deep infrared-selected galaxy catalogue
Sinan Deger, Hiranya V. Peiris, Stephen Thorp +5
We study star formation over 12 Gyr using pop-cosmos, a generative model trained on 26-band photometry of 420,000 COSMOS2020 galaxies (IRAC Ch.1 ). The model learns distributi…
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 (…
pop-cosmos: Insights from generative modeling of a deep, infrared-selected galaxy population
Stephen Thorp, Hiranya V. Peiris, Gurjeet Jagwani +6
We present an extension of the pop-cosmos model for the evolving galaxy population up to redshift . The model is trained on distributions of observed colors and magnitudes,…
Imaging systematics induced by galaxy sub-sample fluctuation: new systematics at second order
Hui Kong, Nora Elisa Chisari, Boris Leistedt +4
Imaging systematics refers to the inhomogeneous distribution of a galaxy sample caused by varying observing conditions and astrophysical foregrounds. Current mitigation methods cor…
Quantifying the Impact of LSST -band Survey Strategy on Photometric Redshift Estimation and the Detection of Lyman-break Galaxies
John Franklin Crenshaw, Boris Leistedt, Melissa Lynn Graham +8
The Vera C. Rubin Observatory will conduct the Legacy Survey of Space and Time (LSST), promising to discover billions of galaxies out to redshift 7, using six photometric bands ($u…
Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology
K. Bechtol, I. Sevilla-Noarbe, A. Drlica-Wagner +103
We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a…
Galaxy Clustering with LSST: Effects of Number Count Bias from Blending
Benjamin Levine, Javier Sánchez, Chihway Chang +6
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will survey the southern sky to create the largest galaxy catalog to date, and its statistical power demands an…
An automated method for finding the most distant quasars
Lena Lenz, Daniel J. Mortlock, Boris Leistedt +2
Upcoming surveys such as Euclid, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) and the Nancy Grace Roman Telescope (Roman) will detect hundreds of high-red…
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…
pop-cosmos: A comprehensive picture of the galaxy population from COSMOS data
Justin Alsing, Stephen Thorp, Sinan Deger +4
We present pop-cosmos: a comprehensive model characterizing the galaxy population, calibrated to ( selected) galaxies from the Cosmic Evolution Survey (COSMOS) with…
Data-Space Validation of High-Dimensional Models by Comparing Sample Quantiles
Stephen Thorp, Hiranya V. Peiris, Daniel J. Mortlock +3
We present a simple method for assessing the predictive performance of high-dimensional models directly in data space when only samples are available. Our approach is to compare th…
Spurious correlations between galaxies and multi-epoch image stacks in the DESI Legacy Surveys
Edgar Eggert, Boris Leistedt
A non-negligible source of systematic bias in cosmological analyses of galaxy surveys is the on-sky modulation caused by foregrounds and variable image characteristics such as obse…
Hierarchical Bayesian inference of photometric redshifts with stellar population synthesis models
Boris Leistedt, Justin Alsing, Hiranya Peiris +2
We present a Bayesian hierarchical framework to analyze photometric galaxy survey data with stellar population synthesis (SPS) models. Our method couples robust modeling of spectra…
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…
Mapping Interstellar Dust with Gaussian Processes
Andrew C. Miller, Lauren Anderson, Boris Leistedt +3
Interstellar dust corrupts nearly every stellar observation, and accounting for it is crucial to measuring physical properties of stars. We model the dust distribution as a spatial…
Data Analysis Recipes: Products of multivariate Gaussians in Bayesian inferences
David W. Hogg, Adrian M. Price-Whelan, Boris Leistedt
A product of two Gaussians (or normal distributions) is another Gaussian. That's a valuable and useful fact! Here we use it to derive a refactoring of a common product of multivari…
SPECULATOR: Emulating stellar population synthesis for fast and accurate galaxy spectra and photometry
Justin Alsing, Hiranya Peiris, Joel Leja +6
We present SPECULATOR - a fast, accurate, and flexible framework for emulating stellar population synthesis (SPS) models for predicting galaxy spectra and photometry. For emulating…
Target Neutrino Mass Precision for Determining the Neutrino Hierarchy
Constance Mahony, Boris Leistedt, Hiranya V. Peiris +5
Recent works combining neutrino oscillation and cosmological data to determine the neutrino hierarchy found a range of odds in favour of the normal hierarchy. These results arise f…