Open Access
February 2016 High-frequency asymptotics for Lipschitz–Killing curvatures of excursion sets on the sphere
Domenico Marinucci, Sreekar Vadlamani
Ann. Appl. Probab. 26(1): 462-506 (February 2016). DOI: 10.1214/15-AAP1097

Abstract

In this paper, we shall be concerned with geometric functionals and excursion probabilities for some nonlinear transforms evaluated on Fourier components of spherical random fields. In particular, we consider both random spherical harmonics and their smoothed averages, which can be viewed as random wavelet coefficients in the continuous case. For such fields, we consider smoothed polynomial transforms; we focus on the geometry of their excursion sets, and we study their asymptotic behaviour, in the high-frequency sense. We focus on the analysis of Euler–Poincaré characteristics, which can be exploited to derive extremely accurate estimates for excursion probabilities. The present analysis is motivated by the investigation of asymmetries and anisotropies in cosmological data. The statistics we focus on are also suitable to deal with spherical random fields which can only be partially observed, the canonical example being provided by the masking effect of the Milky Way on Cosmic Microwave Background (CMB) radiation data.

Citation

Download Citation

Domenico Marinucci. Sreekar Vadlamani. "High-frequency asymptotics for Lipschitz–Killing curvatures of excursion sets on the sphere." Ann. Appl. Probab. 26 (1) 462 - 506, February 2016. https://doi.org/10.1214/15-AAP1097

Information

Received: 1 February 2014; Revised: 1 November 2014; Published: February 2016
First available in Project Euclid: 5 January 2016

zbMATH: 1334.60089
MathSciNet: MR3449324
Digital Object Identifier: 10.1214/15-AAP1097

Subjects:
Primary: 42C15 , 53C65 , 60G60 , 62M15

Keywords: Excursion sets , Gaussian subordination , High-frequency asymptotics , Lipschitz–Killing curvatures , Minkowski functionals , Spherical random fields

Rights: Copyright © 2016 Institute of Mathematical Statistics

Vol.26 • No. 1 • February 2016
Back to Top