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Redshift-space streaming velocity effects on the Lyman-α forest baryon acoustic oscillation scale
被引:15
作者:
Givans, Jahmour J.
[1
,2
]
Hirata, Christopher M.
[1
,2
,3
]
机构:
[1] Ohio State Univ, Ctr Cosmol & AstroParticle Phys, 191 West Woodruff Ave, Columbus, OH 43210 USA
[2] Ohio State Univ, Dept Phys, 191 West Woodruff Ave, Columbus, OH 43210 USA
[3] Ohio State Univ, Dept Astron, 140 West 18th Ave, Columbus, OH 43210 USA
来源:
PHYSICAL REVIEW D
|
2020年
/
102卷
/
02期
关键词:
PROBING DARK ENERGY;
POWER-SPECTRUM;
MASS FLUCTUATIONS;
RELATIVE VELOCITY;
GALAXIES;
UNIVERSE;
REIONIZATION;
RADIATION;
DENSITY;
D O I:
10.1103/PhysRevD.102.023515
中图分类号:
P1 [天文学];
学科分类号:
0704 ;
摘要:
The baryon acoustic oscillation (BAO) scale acts as a standard ruler for measuring cosmological distances and has therefore emerged as a leading probe of cosmic expansion history. However, any physical effect that alters the length of the ruler can lead to a bias in our determination of distance and expansion rate. One of these physical effects is the streaming velocity, the relative velocity between baryons and dark matter in the early Universe, which couples to the BAO scale due to their common origin in acoustic waves at recombination. In this work, we investigate the impact of streaming velocity on the BAO feature of the Lyman-alpha forest auto-power spectrum, one of the main tracers being used by the recently commissioned Dark Energy Spectroscopic Instrument (DESI). To do this, we develop a perturbative model for Lyman-alpha flux fluctuations which is complete to second order for a certain set of fields, and applicable to any redshift-space tracer of structure since it is based only on symmetry considerations. We find that there are 8 biasing coefficients through second order. We find streaming velocity-induced shifts in the BAO scale of 0.081%-0.149% (transverse direction) and 0.053%-0.058% (radial direction), depending on the model for the biasing coefficients used. These are smaller than, but not negligible compared to, the DESI Lyman-alpha BAO error budget, which is 0.46% on the overall scale. The sensitivity of these results to our choice of bias parameters underscores the need for future work to measure the higher-order biasing coefficients from simulations, especially for future experiments beyond DESI.
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页数:21
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