1.2k citations · 3.9k across the 39 of their papers we have counts for
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Neural Network Acceleration of Large-scale Structure Theory Calculations
Joseph DeRose, Shi-Fan Chen, Martin White +1
We make use of neural networks to accelerate the calculation of power spectra required for the analysis of galaxy clustering and weak gravitational lensing data. For modern perturb…
Priors on red galaxy stochasticity from hybrid effective field theory
Nickolas Kokron, Joseph DeRose, Shi-Fan Chen +2
We investigate the stochastic properties of typical red galaxy samples in a controlled numerical environment. We use Halo Occupation Distribution (HOD) modelling to create mock rea…
Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing
Martin White, Rongpu Zhou, Joseph DeRose +15
We use luminous red galaxies selected from the imaging surveys that are being used for targeting by the Dark Energy Spectroscopic Instrument (DESI) in combination with CMB lensing…
Modeling Nearest Neighbor distributions of biased tracers using Hybrid Effective Field Theory
Arka Banerjee, Nickolas Kokron, Tom Abel
We investigate the application of Hybrid Effective Field Theory (HEFT) -- which combines a Lagrangian bias expansion with subsequent particle dynamics from -body simulations --…
Dark Energy Survey Year 3 Results: A 2.7% measurement of Baryon Acoustic Oscillation distance scale at redshift 0.835
DES Collaboration, T. M. C. Abbott, M. Aguena +108
We present angular diameter measurements obtained by measuring the position of Baryon Acoustic Oscillations (BAO) in an optimised sample of galaxies from the first three years of D…
Galaxy Clustering in Harmonic Space from the Dark Energy Survey Year 1 Data: Compatibility with Real-Space Results
F. Andrade-Oliveira, H. Camacho, L. Faga +70
We perform an analysis in harmonic space of the Dark Energy Survey Year 1 Data (DES-Y1) galaxy clustering data using products obtained for the real-space analysis. We test our pipe…
The cosmology dependence of galaxy clustering and lensing from a hybrid -body-perturbation theory model
Nickolas Kokron, Joseph DeRose, Shi-Fan Chen +2
We implement a model for the two-point statistics of biased tracers that combines dark matter dynamics from -body simulations with an analytic Lagrangian bias expansion. Using A…