English

Unbiased Cosmological Parameter Estimation from Emission Line Surveys with Interlopers

Cosmology and Nongalactic Astrophysics 2019-05-31 v3

Abstract

The galaxy catalogs generated from low-resolution emission line surveys often contain both foreground and background interlopers due to line misidentification, which can bias the cosmological parameter estimation. In this paper, we present a method for correcting the interloper bias by using the joint-analysis of auto- and cross-power spectra of the main and the interloper samples. In particular, we can measure the interloper fractions from the cross-correlation between the interlopers and survey galaxies, because the true cross-correlation must be negligibly small. The estimated interloper fractions, in turn, remove the interloper bias in the cosmological parameter estimation. For example, in the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX) low-redshift (z<0.5z<0.5) [O II] λ3727\lambda3727{\AA} emitters contaminate high-redshift (1.9<z<3.51.9<z<3.5) Lyman-α\alpha line emitters. We demonstrate that the joint-analysis method yields a high signal-to-noise ratio measurement of the interloper fractions while only marginally increasing the uncertainties in the cosmological parameters relative to the case without interlopers. We also show the same is true for the high-latitude spectroscopic survey of Wide-Field Infrared Survey Telescope (WFIRST) mission where contamination occurs between the Balmer-α\alpha line emitters at lower redshifts (1.1<z<1.91.1<z<1.9) and Oxygen ([O III] λ5007\lambda5007{\AA}) line emitters at higher redshifts (1.7<z<2.81.7<z<2.8).

Keywords

Cite

@article{arxiv.1811.06982,
  title  = {Unbiased Cosmological Parameter Estimation from Emission Line Surveys with Interlopers},
  author = {Henry S. Grasshorn Gebhardt and Donghui Jeong and Humna Awan and Joanna S. Bridge and Robin Ciardullo and Daniel Farrow and Karl Gebhardt and Gary J. Hill and Eiichiro Komatsu and Mallory Molina and Ana Paulino-Afonso and Shun Saito and Donald P. Schneider and Greg Zeimann},
  journal= {arXiv preprint arXiv:1811.06982},
  year   = {2019}
}

Comments

36 pages, 26 figures