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How to evade the sample variance limit on measurements of redshift-space distortions

How to evade the sample variance limit on measurements of redshift-space distortions
McDonald P.Seljak U.
Ewha Authors
Uros Seljak
Issue Date
Journal Title
Journal of Cosmology and Astroparticle Physics
1475-7516JCR Link
Journal of Cosmology and Astroparticle Physics vol. 2009, no. 10
Document Type
We show how to use multiple tracers of large-scale density with different biases to measure the redshift-space distortion parameter β ≡ b -1f ≡ b -1dlnD/dlna (where D is the growth factor and a the expansion factor), to, as the signal-to-noise (S/N) of a survey increases, much better precision than one could achieve with a single tracer (to arbitrary precision in the low noise limit). In combination with the power spectrum of the tracers this would allow a more precise measurement of the bias-free velocity divergence power spectrum, f 2P m, with the ultimate, zero noise limit, being that f 2P m can be measured as well as would be possible if velocity divergence was observed directly, with maximum rms improvement factor ∼[5.2(β 2+2β+2)/β 2] 1/2 (e.g., 10 times better than a single tracer with β = 0.4). This would allow a determination of fD as a function of redshift with an error as low as ∼ 0.1% (again, in the idealized case of the zero noise limit). The ratio b 2/b 1 can be determined with an even greater precision than β, potentially producing, when measured as a function of scale, an exquisitely sensitive probe of the onset of non-linear bias. We also extend in more detail previous work on the use of the same technique to measure non-Gaussianity. Currently planned redshift surveys are typically designed with S/N ∼ 1 on scales of interest, which severely limits the usefulness of our method. Our results suggest that there are potentially large gains to be achieved from technological or theoretical developments that allow higher S/N, or, in the long term, surveys that simply observe a higher number density of galaxies. © 2009 IOP Publishing Ltd and SISSA.
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