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Imprints of primordial non-Gaussianities on large-scale structure: Scale-dependent bias and abundance of virialized objects

Neal DalalOlivier DoréDragan HutererAlexander Shirokov

Abstract

We study the effect of primordial non-Gaussianity on large-scale structure, focusing upon the most massive virialized objects. Using analytic arguments and $N$-body simulations, we calculate the mass function and clustering of dark matter halos across a range of redshifts and levels of non-Gaussianity. We propose a simple fitting function for the mass function valid across the entire range of our simulations. We find pronounced effects of non-Gaussianity on the clustering of dark matter halos, leading to strongly scale-dependent bias. This suggests that the large-scale clustering of rare objects may provide a sensitive probe of primordial non-Gaussianity. We very roughly estimate that upcoming surveys can constrain non-Gaussianity at the level of $|{f}_{\mathrm{NL}}|\ensuremath{\lesssim}10$, which is competitive with forecasted constraints from the microwave background.

Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation TheoriesScientific Research and DiscoveriesNon-GaussianityPhysicsDark matterAstrophysicsHaloCluster analysisRedshiftHalo effectScale (ratio)Halo mass function

Funding

  • Kavli Institute for Cosmological Physics, University of Chicago
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