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Journal Articles JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS Year : 2014

Characterizing unknown systematics in large scale structure surveys

Nishant Agarwal
  • Function : Author
Shirley Ho
  • Function : Author
Adam D. Myers
  • Function : Author
Hee-Jong Seo
  • Function : Author
Ashley J. Ross
  • Function : Author
Neta Bahcall
  • Function : Author
Jonathan Brinkmann
  • Function : Author
Daniel J. Eisenstein
  • Function : Author
Demitri Muna
  • Function : Author
Nathalie Palanque-Delabrouille
  • Function : Author
Isabelle Pâris
  • Function : Author
  • PersonId : 973398
Donald P. Schneider
  • Function : Author
Alina Streblyanska
  • Function : Author
Benjamin A. Weaver
  • Function : Author
Christophe Yèche
  • Function : Author

Abstract

Photometric large scale structure (LSS) surveys probe the largest volumes in the Universe, but are inevitably limited by systematic uncertainties. Imperfect photometric calibration leads to biases in our measurements of the density fields of LSS tracers such as galaxies and quasars, and as a result in cosmological parameter estimation. Earlier studies have proposed using cross-correlations between different redshift slices or cross-correlations between different surveys to reduce the effects of such systematics. In this paper we develop a method to characterize unknown systematics. We demonstrate that while we do not have sufficient information to correct for unknown systematics in the data, we can obtain an estimate of their magnitude. We define a parameter to estimate contamination from unknown systematics using cross-correlations between different redshift slices and propose discarding bins in the angular power spectrum that lie outside a certain contamination tolerance level. We show that this method improves estimates of the bias using simulated data and further apply it to photometric luminous red galaxies in the Sloan Digital Sky Survey as a case study.

Dates and versions

insu-03645674 , version 1 (19-04-2022)

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Nishant Agarwal, Shirley Ho, Adam D. Myers, Hee-Jong Seo, Ashley J. Ross, et al.. Characterizing unknown systematics in large scale structure surveys. JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2014, 2014, ⟨10.1088/1475-7516/2014/04/007⟩. ⟨insu-03645674⟩
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