CERN Accelerating science

Article
Report number arXiv:1305.1970 ; CERN-PH-TH-2013-094 ; CERN-PH-TH-2013-094
Title Optimal analysis of azimuthal features in the CMB
Author(s) Osborne, Stephen (Stanford U., Phys. Dept. ; SLAC) ; Senatore, Leonardo (Stanford U., Phys. Dept. ; KIPAC, Menlo Park ; SLAC ; Stanford U., ITP ; CERN) ; Smith, Kendrick (CERN ; Princeton U.)
Publication 2013-10-01
Imprint 10 May 2013
Number of pages 30
Note Comments: 30 pages, 5 figures
30 pages, 5 figures
In: JCAP 10 (2013) 001
DOI 10.1088/1475-7516/2013/10/001
Subject category Astrophysics and Astronomy
Abstract We present algorithms for searching for azimuthally symmetric features in CMB data. Our algorithms are fully optimal for masked all-sky data with inhomogeneous noise, computationally fast, simple to implement, and make no approximations. We show how to implement the optimal analysis in both Bayesian and frequentist cases. In the Bayesian case, our algorithm for evaluating the posterior likelihood is so fast that we can do a brute-force search over parameter space, rather than using a Monte Carlo Markov chain. Our motivating example is searching for bubble collisions, a pre-inflationary signal which can be generated if multiple tunneling events occur in an eternally inflating spacetime, but our algorithms are general and should be useful in other contexts.
Copyright/License Preprint: © 2013-2025 CERN (License: CC-BY-3.0)



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 Element opprettet 2013-05-10, sist endret 2024-11-29


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