Hefty enhancement of cosmological constraints from the DES Y1 data using a Hybrid Effective Field Theory approach to galaxy bias
Boryana Hadzhiyska, Carlos Garc\'ia-Garc\'ia, David Alonso, Andrina, Nicola, An\v{z}e Slosar

TL;DR
This paper re-analyzes DES Y1 data using a Hybrid Effective Field Theory approach to galaxy bias, extending the scale range and improving cosmological constraints, notably on S_8 and Omega_m, with potential H_0 insights.
Contribution
It introduces a HEFT-based analysis of DES Y1 data, extending the galaxy clustering scale range and enhancing cosmological parameter constraints beyond traditional methods.
Findings
HEFT model explains data up to k~0.6 Mpc^{-1}
Improved constraints on S_8 and Omega_m by 10-35%
Potential constraints on H_0 around 70.7 km/s/Mpc
Abstract
We present a re-analysis of cosmic shear and galaxy clustering from first-year Dark Energy Survey data (DES Y1), making use of a Hybrid Effective Field Theory (HEFT) approach to model the galaxy-matter relation on weakly non-linear scales, initially proposed in Modi et al. (2020) (arXiv:1910.07097). This allows us to explore the enhancement in cosmological constraining power enabled by extending the galaxy clustering scale range typically used in projected large-scale structure analyses. Our analysis is based on a recomputed harmonic-space data vector and covariance matrix, carefully accounting for all sources of mode-coupling, non-Gaussianity and shot noise, which allows us to provide robust goodness-of-fit measures. We use the \textsc{AbacusSummit} suite of simulations to build an emulator for the HEFT model predictions. We find that this model can explain the galaxy clustering and…
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