- Small-scale signatures of primordial non-Gaussianity in k-Nearest Neighbour cumulative distribution capabilities
Authors: William R. Coulton, Tom Abel, Arka Banerjee
Abstract: Searches for primordial non-Gaussianity in cosmological perturbations are a key technique of unveiling novel primordial physics. Nonetheless, robustly extracting signatures of primordial non-Gaussianity from non-linear scales of the late-time Universe is an open draw back. On this paper, we apply k-Nearest Neighbor cumulative distribution capabilities, kNN-CDFs, to the textsc{quijote-png} simulations to find the sensitivity of kNN-CDFs to primordial non-Gaussianity. An attention-grabbing end result’s that for halo samples with Mh<1014 M⊙/h, the kNN-CDFs reply to textit{equilateral} PNG in a method distinct from the other parameters. This persists throughout the galaxy catalogs in redshift space and could also be differentiated from the impression of galaxy modelling, not lower than all through the halo occupation distribution (HOD) framework considered proper right here. kNN-CDFs are related to counts-in-cells and, by the use of mapping a subset of the kNN-CDF measurements into the count-in-cells picture, we current that our outcomes could also be modeled analytically. A caveat of the analysis is that we solely take into consideration the HOD framework, along with assembly bias. It will be attention-grabbing to validate these outcomes with totally different strategies for modeling the galaxy — halo connection, e.g., (hybrid) environment friendly topic thought or semi-analytical methods
