English

The extended Baryon Oscillation Spectroscopic Survey (eBOSS): a cosmological forecast

Cosmology and Nongalactic Astrophysics 2016-02-12 v2

Abstract

We present a science forecast for the eBOSS survey, part of the SDSS-IV project, which is a spectroscopic survey using multiple tracers of large-scale structure, including luminous red galaxies (LRGs), emission line galaxies (ELGs) and quasars (both as a direct probe of structure and through the Ly-α\alpha forest). Focusing on discrete tracers, we forecast the expected accuracy of the baryonic acoustic oscillation (BAO), the redshift-space distortion (RSD) measurements, the fNLf_{\rm NL} parameter quantifying the primordial non-Gaussianity, the dark energy and modified gravity parameters. We also use the line-of-sight clustering in the Ly-α\alpha forest to constrain the total neutrino mass. We find that eBOSS LRGs (0.6<z<1.00.6<z<1.0) (combined with the BOSS LRGs at z>0.6z>0.6), ELGs (0.6<z<1.20.6<z<1.2) and Clustering Quasars (CQs) (0.6<z<2.20.6<z<2.2) can achieve a precision of 1%, 2.2% and 1.6% precisions, respectively, for spherically averaged BAO distance measurements. Using the same samples, the constraint on fσ8f\sigma_8 is expected to be 2.5%, 3.3% and 2.8% respectively. For primordial non-Gaussianity, eBOSS alone can reach an accuracy of σ(fNL)1015\sigma(f_{\rm NL})\sim10-15, depending on the external measurement of the galaxy bias and our ability to model large-scale systematic errors. eBOSS can at most improve the dark energy Figure of Merit (FoM) by a factor of 33 for the Chevallier-Polarski-Linder (CPL) parametrisation, and can well constrain three eigenmodes for the general equation-of-state parameter (Abridged).

Keywords

Cite

@article{arxiv.1510.08216,
  title  = {The extended Baryon Oscillation Spectroscopic Survey (eBOSS): a cosmological forecast},
  author = {Gong-Bo Zhao and Yuting Wang and Ashley J. Ross and Sarah Shandera and Will J. Percival and Kyle S. Dawson and Jean-Paul Kneib and Adam D. Myers and Joel R. Brownstein and Johan Comparat and Timothée Delubac and Pengyuan Gao and Alireza Hojjati and Kazuya Koyama and Cameron K. McBride and Andrés Meza and Jeffrey A. Newman and Nathalie Palanque-Delabrouille and Levon Pogosian and Francisco Prada and Graziano Rossi and Donald P. Schneider and Hee-Jong Seo and Charling Tao and Dandan Wang and Christophe Yèche and Hanyu Zhang and Yuecheng Zhang and Xu Zhou and Fangzhou Zhu and Hu Zou},
  journal= {arXiv preprint arXiv:1510.08216},
  year   = {2016}
}

Comments

15 pages, 9 figures, 6 tables; matches the published version on MNRAS