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.
15 pages, 6 figures, 3 tables. Comments welcomed! v2 Matches version published in JCAP
References in corpus (13)
- Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix
- The imprints of primordial non-gaussianities on large-scale structure: scale dependent bias and abundance of virialized objects
- Measuring primordial non-gaussianity without cosmic variance
- Cosmology with the SPHEREX All-Sky Spectral Survey
- Primordial non-Gaussianity: large-scale structure signature in the perturbative bias model
- Primordial non-Gaussianity, scale-dependent bias, and the bispectrum of galaxies
- Constraints on Multi-Field Inflation from the BOSS Galaxy Survey
- Constraints on primordial non-Gaussianity from 800,000 photometric quasars
- Inflation: Theory and Observations
- Non-Gaussian halo assembly bias
- Primordial non-Gaussianity from the Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey I: Catalogue Preparation and Systematic Mitigation
- Local primordial non-Gaussianity in the relativistic galaxy bispectrum
- The clustering of galaxies in the completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Primordial non-Gaussianity in Fourier Space
Cited by in corpus (32)
- Line-Intensity Mapping: Theory Review
- Growth of Cosmic Structure
- Assembly bias in the local PNG halo bias and its implication for constraints
- Constraining primordial non-Gaussianity from DESI quasar targets and Planck CMB lensing
- Learning to Concentrate: Multi-tracer Forecasts on Local Primordial Non-Gaussianity with Machine-Learned Bias
- Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies
- Constraints on anisotropic primordial non-Gaussianity from intrinsic alignments of SDSS-III BOSS galaxies
- Large Scale Limit of the Observed Galaxy Power Spectrum
- Light Fields during Inflation from BOSS and Future Galaxy Surveys
- Constraining primordial non-Gaussianity by combining next-generation galaxy and 21 cm intensity mapping surveys
- PNG-UNITsims: Halo clustering response to primordial non-Gaussianities as a function of mass
- Taming assembly bias for primordial non-Gaussianity
- Squeezing out of the matter bispectrum with consistency relations
- Testing scale-invariant inflation against cosmological data
- Halo assembly bias from a deep learning model of halo formation
- Quijote-PNG: The Information Content of the Halo Mass Function
- Constraints on primordial non-Gaussianity from the cross-correlation of DESI Luminous Red Galaxies and CMB lensing
- Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear halo density field
- Cosmological Fisher forecasts for next-generation spectroscopic surveys
- The Renormalization Group for Large-Scale Structure: Primordial non-Gaussianities
- Radio-optical synergies at high redshift to constrain primordial non-Gaussianity
- Primordial non-Gaussianity -- the effects of relativistic and wide-angle corrections to the power spectrum
- Non-Gaussian assembly bias from a semi-analytic galaxy formation model
- Constraining using the Large-Scale Modulation of Small-Scale Statistics
- : fast differentiable angular power spectra beyond Limber
- Constraining primordial non-Gaussianity by combining photometric galaxy and 21cm intensity mapping surveys
- Multi-tracing the primordial Universe with future surveys
- Linear Relativistic Corrections in the Spherical Fourier-Bessel Power Spectrum
- Squeezing information from radio surveys to probe the primordial Universe
- Constraining primordial non-Gaussianity using Neural Networks
- Quijote PNG: The information content of the halo power spectrum and bispectrum
- Large-scale Modeling of the Observed Power Spectrum Multipoles