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MASTER of the Cosmic Microwave Background Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex Cosmic Microwave Background Data Sets

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Hivon, Eric, Gorski, Krzysztof M., Netterfield, C. Barth, Crill, Brendan P., Prunet, Simon, Hansen, Frode·2002·The Astrophysical Journal

Abstract

We describe a fast and accurate method for estimation of the cosmic microwave background (CMB) anisotropy angular power spectrum—Monte Carlo Apodized Spherical Transform Estimator (MASTER). Originally devised for use in the interpretation of the BOOMERANG experimental data, MASTER is both a computationally efficient method suitable for use with the currently available CMB data sets (already large in size, despite covering small fractions of the sky, and affected by inhomogeneous and correlated noise) and a very promising application for the analysis of very large future CMB satellite mission products.

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Metadata

Authors
Hivon, E., Gorski, K. M., Netterfield, C. B., Crill, B. P., Prunet, S., & Hansen, F.
Venue
The Astrophysical Journal
Published
2002-03
Volume
567
Issue
1
Pages
2-17
ISSN
  • 0004-637X (ISSN-L)
  • 1538-4357
OpenAlex
W1594714851
Cited by
743
References
0
FWCI
13.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: MASTER of the Cosmic Microwave Background Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex Cosmic Microwave Background Data Sets. https://app.cochat.ai/papers/10.1086/338126
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Hivon, E., Gorski, K. M., Netterfield, C. B., Crill, B. P., Prunet, S., & Hansen, F. (2002). MASTER of the Cosmic Microwave Background Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex Cosmic Microwave Background Data Sets. The Astrophysical Journal. https://doi.org/10.1086/338126

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.