Primordial non-Gaussianity with Angular correlation function: Integral constraint and validation for DES
arXiv:2209.07187 · doi:10.1093/mnras/stad1429
Abstract
Local primordial non-Gaussianity (PNG) is a promising observable of the underlying physics of inflation, characterised by . We present the methodology to measure from the Dark Energy Survey (DES) data using the 2-point angular correlation function (ACF) with scale-dependent bias. One of the focuses of the work is the integral constraint. This condition appears when estimating the mean number density of galaxies from the data and is key in obtaining unbiased constraints. The methods are analysed for two types of simulations: GOLIAT-PNG N-body small area simulations with equal to -100 and 100, and 1952 Gaussian ICE-COLA mocks with that follow the DES angular and redshift distribution. We use the ensemble of GOLIAT-PNG mocks to show the importance of the integral constraint when measuring PNG, where we recover the fiducial values of within the when including the integral constraint. In contrast, we found a bias of when not including it. For a DES-like scenario, we forecast a bias of , equivalent to , when not using the IC for a fiducial value of . We use the ICE-COLA mocks to validate our analysis in a realistic DES-like setup finding it robust to different analysis choices: best-fit estimator, the effect of IC, BAO damping, covariance, and scale choices. We forecast a measurement of within when using the DES-Y3 BAO sample, with the ACF in the range.
Version after MNRAS reviewer comments. Improved discussion in Section 7. 16 pages, 11 figures
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- The full-sky Spherical Fourier-Bessel power spectrum in general relativity
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- Beyond the two-point correlation: constraining primordial non-gaussianity with density perturbation moments