# Spherical structure factor and classification of hyperuniformity on the sphere

## TL;DR

This paper develops a framework to analyze and classify hyperuniformity in particle distributions on the sphere, extending Euclidean concepts to spherical geometries and enabling detection of long-range order in spherical systems.

## Contribution

It introduces a spherical structure factor and relates it to cap number variance, providing a new method to classify hyperuniformity on the sphere.

## Key findings

- Hyperuniformity can be characterized by vanishing low-multipole structure factor.
- Cap number variance scaling distinguishes hyperuniform from non-hyperuniform distributions.
- The framework applies to biological, synthetic, and computational spherical systems.

## Abstract

Understanding how particles are arranged on the sphere is not only central to numerous physical, biological, and materials systems but also finds applications in mathematics and in analysis of geophysical and meteorological measurements. In contrast to particle distributions in Euclidean space, restriction that the particles should lie on the sphere brings about several important constraints. These require a careful extension of quantities used for particle distributions in Euclidean space to those confined to the sphere. We introduce a framework designed to analyze and classify structural (dis)order in particle distributions constrained to the sphere. The classification is based on the concept of hyperuniformity, which was introduced 15 years ago and since then studied extensively in Euclidean space, yet has only very recently been considered for the sphere. We build our framework on a generalization of the structure factor on the sphere, which we relate to the power spectrum of the corresponding multipole expansion. The spherical structure factor is then shown to couple with cap number variance, a measure of local density fluctuations, allowing us to derive different forms of the variance. In this way, we construct a classification of hyperuniformity for scale-free particle distributions on the sphere and show how it can be extended to other distributions as well. We demonstrate that hyperuniformity on the sphere can be defined either through a vanishing spherical structure factor at low multipole numbers or through a scaling of the cap number variance, in both cases extending the Euclidean definition while pointing out crucial differences. Our work provides a comprehensive tool for detecting long-range order on spheres and the analysis of spherical computational meshes, biological and synthetic spherical assemblies, and ordering phase transitions in spherically-distributed particles.