Detecting candidate cosmic bubble collisions with optimal filters

TL;DR

This paper presents an optimal-filter-based algorithm that significantly improves the detection sensitivity of cosmic bubble collision signatures in CMB data, leading to the discovery of new candidate signals in WMAP observations.

Contribution

The paper introduces a new optimal filtering method that doubles detection sensitivity and is proven to be the best filter-based approach for identifying cosmic bubble collision signatures.

Findings

Detected eight new candidate bubble collision signatures in WMAP data.

Algorithm enhances detection sensitivity by a factor of two.

Proven to be the optimal filter-based detection method.

Abstract

We review an optimal-filter-based algorithm for detecting candidate sources of unknown and differing size embedded in a stochastic background, and its application to detecting candidate cosmic bubble collision signatures in Wilkinson Microwave Anisotropy Probe (WMAP) 7-year observations. The algorithm provides an enhancement in sensitivity over previous methods by a factor of approximately two. Moreover, it is optimal in the sense that no other filter-based approach can provide a superior enhancement of these signatures. Applying this algorithm to WMAP 7-year observations, eight new candidate bubble collision signatures are detected for follow-up analysis.