Can we actually constrain using the scale-dependent bias effect? An illustration of the impact of galaxy bias uncertainties using the BOSS DR12 galaxy power spectrum
arXiv:2205.05673 · doi:10.1088/1475-7516/2022/11/013
Abstract
The scale-dependent bias effect on the galaxy power spectrum is a very promising probe of the local primordial non-Gaussianity (PNG) parameter , but the amplitude of the effect is proportional to , where is the linear PNG galaxy bias parameter. Our knowledge of is currently very limited, yet nearly all existing constraints and forecasts assume precise knowledge for it. Here, we use the BOSS DR12 galaxy power spectrum to illustrate how our uncertain knowledge of currently prevents us from constraining with a given statistical precision . Assuming different fixed choices for the relation between and the linear density bias , we find that can vary by as much as an order of magnitude. Our strongest bound is , while the loosest is for the same BOSS data. The impact of can be especially pronounced because it can be close to zero. We also show how marginalizing over with wide priors is not conservative, and leads in fact to biased constraints through parameter space projection effects. Independently of galaxy bias assumptions, the scale-dependent bias effect can only be used to detect by constraining the product , but the error bar remains undetermined and the results cannot be compared with the CMB; we find with significance. We also comment on why these issues are important for analyses with the galaxy bispectrum. Our results strongly motivate simulation-based research programs aimed at robust theoretical priors for the parameter, without which we may never be able to competitively constrain using galaxy data.
arXiv comment15 pages, 6 figures, 3 tables. Comments welcomed! v2 Matches version published in JCAP
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