collaborators

35 papers

astro-ph.CO2026

DESI DR2 Reference Mocks: Clustering results from UCHUU ELGs and QSOs

R. Vaisakh, J. Lasker, R. Kehoe +44

High-redshift galaxy clustering provides a powerful probe of the growth of structure, testing models of dark matter, dark energy, and galaxy formation during the epoch when the Uni…

astro-ph.CO2026

Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics

J. Williamson, T. L. Makinen, N. Porqueres +85

We present cosmological constraints from the Dark Energy Survey Year 3 (DES Y3) weak lensing data using hierarchical hybrid statistics within a Bayesian simulation-based inference…

astro-ph.CO2026

Simulation budgeting for hybrid effective field theories

Alexa Bartlett, Joseph DeRose, Martin White

In this work, we forecast the number of, and requirements on, N-body simulations needed to train hybrid effective field theory (HEFT) emulators for a range of use cases, using a hy…

astro-ph.CO2026

Cosmic Shear in Effective Field Theory at Two-Loop Order: Revisiting in Dark Energy Survey Data

Shi-Fan Chen, Joseph DeRose, Mikhail M. Ivanov +1

Cosmic shear is a powerful probe of cosmological distances, matter abundance and clustering in the low-redshift Universe. Cosmological parameter extraction from cosmic shear data i…

astro-ph.CO2026

Full calibration of the tomographic redshift distribution from the HSC PDR3 Shape Catalog with DESI

J. Choppin de Janvry, S. Gontcho A Gontcho, U. Seljak +53

The calibration of tomographic redshift distributions is essential for cosmological analysis of weak lensing data. In this work, we calibrate all four tomographic bins of the Hyper…

astro-ph.CO2026

The Lensing Counter Narrative: An Effective Description of Small-Scale Clustering in Weak Lensing Power Spectra

Joseph DeRose, Shi-Fan Chen

We present a new formalism to separate large- and small-scale contributions to cosmic shear through \textit{lensing counterterms} (LCT) inspired by effective field theory (EFT). Ma…