The Astrophysical Journal (Jan 2023)

The DESI One-Percent Survey: Constructing Galaxy–Halo Connections for ELGs and LRGs Using Auto and Cross Correlations

  • Hongyu Gao,
  • Y. P. Jing,
  • Shanquan Gui,
  • Kun Xu,
  • Yun Zheng,
  • Donghai Zhao,
  • Jessica Nicole Aguilar,
  • Steven Ahlen,
  • David Brooks,
  • Todd Claybaugh,
  • Kyle Dawson,
  • Axel xde la Macorra,
  • Peter Doel,
  • Kevin Fanning,
  • Jaime E. Forero-Romero,
  • Satya Gontcho A Gontcho,
  • Julien Guy,
  • Klaus Honscheid,
  • Robert Kehoe,
  • Martin Landriau,
  • Marc Manera,
  • Aaron Meisner,
  • Ramon Miquel,
  • John Moustakas,
  • Jeffrey A. Newman,
  • Jundan Nie,
  • Will Percival,
  • Graziano Rossi,
  • Michael Schubnell,
  • Hee-Jong Seo,
  • Gregory Tarlé,
  • Benjamin Alan Weaver,
  • Jiaxi Yu,
  • Zhimin Zhou

DOI
https://doi.org/10.3847/1538-4357/ace90a
Journal volume & issue
Vol. 954, no. 2
p. 207

Abstract

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In the current Dark Energy Spectroscopic Instrument (DESI) survey, emission line galaxies (ELGs) and luminous red galaxies (LRGs) are essential for mapping the dark matter distribution at z ∼ 1. We measure the auto and cross correlation functions of ELGs and LRGs at 0.8 0.1 Mpc h ^−1 . We can also reproduce the auto correlations of ELGs at r _p > 0.3 Mpc h ^−1 ( s > 1 Mpc h ^−1 ) in real (redshift) space. Although our model has only seven parameters, we show that it can be extended to higher redshifts and reproduces the observed auto correlations of ELGs in the whole range of 0.8 < z ≤ 1.6, which enables us to generate a lightcone ELG mock for DESI. With the above model, we further derive halo occupation distributions for ELGs, which can be used to produce ELG mocks in coarse simulations without resolving subhalos.

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