3 papers
astro-ph.CO2025
Learning Cosmology from Nearest Neighbour Statistics
Atrideb Chatterjee, Arka Banerjee, Francisco Villaescusa-Navarro +1
Extracting cosmological parameters from galaxy/halo catalogues with sub-percent level accuracy is an important aspect of modern cosmology, especially in view of ongoing and upcomin…
astro-ph.CO2025
Geometric Interpretations of the -Nearest Neighbour Distributions
Kwanit Gangopadhyay, Arka Banerjee, Tom Abel
The -Nearest Neighbour Cumulative Distribution Functions are measures of clustering for discrete datasets that are fast and efficient to compute. They are significantly more inf…
astro-ph.CO2024
A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
2pt Collaboration, Elisabeth Krause, Yosuke Kobayashi +23
The last few years have seen the emergence of a wide array of novel techniques for analyzing high-precision data from upcoming galaxy surveys, which aim to extend the statistical a…