activity
20212023
most citedOverview of the Instrumentation for the Dark Energy Spectroscopic Instrument

465 citations · 586 across the 7 of their papers we have counts for

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6 papers · 1 filter

astro-ph.CO2023★ 27 cited

Cosmological constraints on early dark energy from the full shape analysis of eBOSS DR16

Rafaela Gsponer, Ruiyang Zhao, Jamie Donald-McCann +5

We evaluate the effectiveness of Early Dark Energy (EDE) in addressing the Hubble tension using data from the completed eBOSS survey, focusing on luminous red galaxies (LRGs), quas…

astro-ph.CO2023★ 14 cited

A multitracer analysis for the eBOSS galaxy sample based on the effective field theory of large-scale structure

Ruiyang Zhao, Xiaoyong Mu, Rafaela Gsponer +8

We perform a multitracer full-shape analysis in Fourier space based on the effective field theory of large-scale structure (EFTofLSS) using the complete Sloan Digital Sky Survey IV…

astro-ph.CO2023★ 24 cited

Analysis of Unified Galaxy Power Spectrum Multipole Measurements

Jamie Donald-McCann, Rafaela Gsponer, Ruiyang Zhao +2

We present a series of full-shape analyses of galaxy power spectrum multipole measurements from the 6dFGS, BOSS, and eBOSS galaxy surveys. We use an emulated effective field theory…

astro-ph.CO2023★ 9 cited

The DESI One-Percent Survey: Exploring the Halo Occupation Distribution of Luminous Red Galaxies and Quasi-Stellar Objects with AbacusSummit

Sihan Yuan, Hanyu Zhang, Ashley J. Ross +39

We present the first comprehensive Halo Occupation Distribution (HOD) analysis of the DESI One-Percent survey Luminous Red Galaxy (LRG) and Quasi-Stellar Object (QSO) samples. We c…

astro-ph.CO2022★ 19 cited

II: Accelerating Effective Field Theory Analyses of the Galaxy Power Spectrum

Jamie Donald-McCann, Kazuya Koyama, Florian Beutler

In this paper we present an extension to the suite of neural-network-based emulators. The new editions have been developed to accelerate EFTofLSS analyses of…

astro-ph.CO2021★ 28 cited

: Halo Model Emulator for the Galaxy Power Spectrum

Jamie Donald-McCann, Florian Beutler, Kazuya Koyama +1

We present , a suite of neural network based emulators and accompanying Python package that have been developed with the goal of producing fast and accurate pr…