Work

Detecting candidate cosmic bubble collisions with optimal filters

Year: 2012

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1206.5035

Authors: McEwen, J. D., Feeney, S. M., Johnson, M. C., Peiris, H. V.

Institutions: University College London, Perimeter Institute

Language: English

Topic: Cosmology and Gravitation Theories

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Aeronautics and Space Administration, Silicon Valley Community Foundation, Foundational Questions Institute, Government of Canada, Leverhulme Trust, Industry Canada, Institut Périmètre de physique théorique, Science and Technology Facilities Council

OpenAlex ID: W2167906700

Cites: 13

Cited by: 2

Related to: 10