- Small-scale signatures of primordial non-Gaussianity in k-Nearest Neighbour cumulative distribution capabilities
Authors: William R. Coulton, Tom Abel, Arka Banerjee
Summary: Searches for primordial non-Gaussianity in cosmological perturbations are a key means of unveiling novel primordial physics. Nevertheless, robustly extracting signatures of primordial non-Gaussianity from non-linear scales of the late-time Universe is an open downside. On this paper, we apply k-Nearest Neighbor cumulative distribution capabilities, kNN-CDFs, to the textsc{quijote-png} simulations to discover the sensitivity of kNN-CDFs to primordial non-Gaussianity. An attention-grabbing result’s that for halo samples with Mh<1014 M⊙/h, the kNN-CDFs reply to textit{equilateral} PNG in a way distinct from the opposite parameters. This persists within the galaxy catalogs in redshift area and may be differentiated from the impression of galaxy modelling, not less than throughout the halo occupation distribution (HOD) framework thought of right here. kNN-CDFs are associated to counts-in-cells and, by means of mapping a subset of the kNN-CDF measurements into the count-in-cells image, we present that our outcomes may be modeled analytically. A caveat of the evaluation is that we solely think about the HOD framework, together with meeting bias. It is going to be attention-grabbing to validate these outcomes with different methods for modeling the galaxy — halo connection, e.g., (hybrid) efficient subject idea or semi-analytical strategies
