Designing an Inflation Galaxy Survey: how to measure $\sigma(f_{\rm NL}) \sim 1$ using scale-dependent galaxy bias
Roland de Putter, Olivier Dor\'e

TL;DR
This paper explores how to design a galaxy survey optimized for measuring primordial non-Gaussianity with high precision, emphasizing a deep, wide imaging survey with specific redshift and mass measurement capabilities.
Contribution
It derives survey design parameters necessary to achieve $\sigma(f_{ m NL}^{ m loc}) o 1$, highlighting the advantages of imaging over spectroscopic surveys for this purpose.
Findings
A full-sky, deep imaging survey can reach $\sigma(f_{ m NL}^{ m loc}) = 1$.
Optimal survey requires $i ext{-band} ext{ magnitude} o 23$ and galaxy density $ o 8$ arcmin$^{-2}$.
Photo-$z$ accuracy $ o 0.1$ and stellar mass measurement within 0.2 dex are sufficient.
Abstract
The most promising method for measuring primordial non-Gaussianity in the post-Planck era is to detect large-scale, scale-dependent galaxy bias. Considering the information in the galaxy power spectrum, we here derive the properties of a galaxy clustering survey that would optimize constraints on primordial non-Gaussianity using this technique. Specifically, we ask the question what survey design is needed to reach a precision . To answer this question, we calculate the sensitivity to as a function of galaxy number density, redshift accuracy and sky coverage. We include the multitracer technique, which helps minimize cosmic variance noise, by considering the possibility of dividing the galaxy sample into stellar mass bins. We show that the ideal survey for looks very different than most galaxy redshift…
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