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Title: Theoretical Systematics of Future Baryon Acoustic Oscillation Surveys

Journal Article · · Monthly Notices of the Royal Astronomical Society
 [1]; ORCiD logo [1];  [2];  [3];  [4]; ORCiD logo [5]
  1. Ohio Univ., Athens, OH (United States)
  2. Stanford Univ., Stanford, CA (United States); SLAC and Stanford Univ., Menlo Park, CA (United States)
  3. Univ. of California, Berkeley, CA (United States)
  4. Institute for Advanced Study, Princeton, NJ (United States)
  5. Univ. of Portsmouth, Portsmouth (United Kingdom); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Future Baryon Acoustic Oscillation surveys aim at observing galaxy clustering over a wide range of redshift and galaxy populations at great precision, reaching tenths of a percent, in order to detect any deviation of dark energy from the lambda cold dark matter ( ΛCDM ) model. We utilize a set of paired quasi-N-body FastPM simulations that were designed to mitigate the sample variance effect on the BAO feature and evaluated the BAO systematics as precisely as ~0.01 percent. We report anisotropic BAO scale shifts before and after density field reconstruction in the presence of redshift-space distortions over a wide range of redshift, galaxy/halo biases, and shot noise levels. We test different reconstruction schemes and different smoothing filter scales, and introduce physically motivated BAO fitting models. For the first time, we derive a Galilean-invariant infrared resummed model for halos in real and redshift space. We test these models from the perspective of robust BAO measurements and non-BAO information such as growth rate and non-linear bias. We find that pre-reconstruction BAO scale has moderate fitting-model dependence at the level of 0.1–0.2 percent for matter while the dependence is substantially reduced to less than 0.07 percent for halos. We find that post-reconstruction BAO shifts are generally reduced to below 0.1 percent in the presence of galaxy/halo bias and show much smaller fitting model dependence. Different reconstruction conventions can potentially make a much larger difference on the line-of-sight BAO scale, upto 0.3 percent. Furthermore, the precision (error) of the BAO measurements is quite consistent regardless of the choice of the fitting model or reconstruction convention.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1468944
Journal Information:
Monthly Notices of the Royal Astronomical Society, Vol. 479, Issue 1; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 29 works
Citation information provided by
Web of Science

Cited By (7)

Infrared resummation for biased tracers in redshift space journal July 2018
Searching for light relics with large-scale structure journal August 2018
The reconstructed power spectrum in the Zeldovich approximation journal September 2019
nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure journal September 2018
Searching for light relics with large-scale structure text January 2018
Infrared Resummation for Biased Tracers in Redshift Space text January 2018
The Reconstructed Power Spectrum in the Zeldovich Approximation text January 2019

Figures / Tables (25)