collaborators

5 papers

astro-ph.CO2026

Selection effects in correlated observations with application to distance-ladder observations

Will J. Percival

For over a century, following the work of Eddington, Kapteyn, Malmquist and others, astronomers have wrestled with selection biases when making inferences from samples of objects.…

astro-ph.CO2025

Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies

Alex Krolewski, Jensen Lawrence, Will J. Percival

The halo model offers a framework for investigating galaxy clustering, and for understanding the growth of galaxies and the distribution of galaxies of different types. Here, we us…

astro-ph.CO2025

Estimating non-gaussian bias using counts of tracers

Neal Dalal, Will J. Percival

Local-type primordial non-gaussianity generates a distinctive term in the clustering of tracers of large-scale structure, behaving as at small wavenumbers . In order to…

astro-ph.CO2025

Super sample covariance and the volume scaling of galaxy survey covariance matrices

Greg Schreiner, Alex Krolewski, Shahab Joudaki +1

Super sample covariance (SSC) is important when estimating covariance matrices using a set of mock catalogues for galaxy surveys. If the underlying cosmological simulations do not…

astro-ph.CO2025

A new method to determine from cosmological energy-density measurements

Alex Krolewski, Will J. Percival, Alex Woodfinden

We introduce a new method for measuring the Hubble parameter from low-redshift large-scale observations that is independent of the comoving sound horizon. The method uses the baryo…