Angular Power Spectrum Estimation using High Performance Reconfigurable Computing

TL;DR

This paper explores implementing angular power spectrum estimation on a high-performance reconfigurable computing platform to improve the efficiency of analyzing cosmological data.

Contribution

It introduces a novel implementation approach for angular power spectrum estimation using reconfigurable computing hardware.

Findings

Preliminary results demonstrate potential performance improvements.

Implementation feasibility on reconfigurable hardware is established.

Framework supports large-scale cosmological data analysis.

Abstract

Angular power spectra are an important measure of the angular clustering of a given distribution. In Cosmology, they are applied to such vastly different observations as galaxy surveys that cover a fraction of the sky and the Cosmic Microwave Background that covers the entire sky, to obtain fundamental parameters that determine the structure and evolution of the universe. The calculation of an angular power spectrum, however, is complex and the optimization of these calculations is a necessary consideration for current and forthcoming observational surveys. In this work, we present preliminary results of implementing angular power spectrum estimation scheme on a high-performance reconfigurable computing platform.