Optimization of spectroscopic surveys for testing non-Gaussianity

Abstract

We investigate optimization strategies to measure primordial non-Gaussianity with future spectroscopic surveys. We forecast measurements coming from the 3D galaxy power spectrum and compute constraints on primordial non-Gaussianity parameters f_NL and n_NG. After studying the dependence on those parameters upon survey specifications such as redshift range, area, number density, we assume a reference mock survey and investigate the trade-off between number density and area surveyed. We then define the observational requirements to reach the detection of f_NL of order 1. Our results show that while power spectrum constraints on non-Gaussianity from future spectroscopic surveys can be competitive with current CMB limits, measurements from higher-order statistics will be needed to reach a sub unity precision in the measurements of the non-Gaussianity parameter f_NL.

12 pages, 10 figures

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Cited by in corpus (19)

• Large-Scale Galaxy Bias
• Parameter constraints from cross-correlation of CMB lensing with galaxy clustering
• Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space
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• Curvature constraints from Large Scale Structure
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• Beware of commonly used approximations I: errors in forecasts
• Imprints of Oscillatory Bispectra on Galaxy Clustering
• Beware of commonly used approximations II: estimating systematic biases in the best-fit parameters
• Disantangling the effects of Doppler velocity and primordial non-Gaussianity in galaxy power spectra
• Optimising primordial non-Gaussianity measurements from galaxy surveys
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• Probing $\Lambda$CDM cosmology with the Evolutionary Map of the Universe survey
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• Shot noise in multi-tracer constraints on $f_{\text{NL}}$ and relativistic projections: Power Spectrum
• Generalized local ansatz for scale-dependent primordial non-Gaussianities and future galaxy surveys