Application of XFaster power spectrum and likelihood estimator to Planck
Autor: | Rocha, G., Contaldi, C. R., Bond, J. R., Gorski, K. M. |
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Přispěvatelé: | Science and Technology Facilities Council (STFC) |
Jazyk: | angličtina |
Rok vydání: | 2009 |
Předmět: |
ANISOTROPY
methods: statistical cosmic microwave background Cosmology and Nongalactic Astrophysics (astro-ph.CO) Science & Technology ALGORITHMS FOS: Physical sciences Astronomy & Astrophysics methods: data analysis DMR SKY MAPS 30 GHZ DATA 0201 Astronomical And Space Sciences cosmology: observations Physical Sciences astro-ph.CO MICROWAVE BACKGROUND DATA cosmological parameters Astrophysics - Instrumentation and Methods for Astrophysics Instrumentation and Methods for Astrophysics (astro-ph.IM) TEMPERATURE PRIMORDIAL INHOMOGENEITY MISSION astro-ph.IM Astrophysics - Cosmology and Nongalactic Astrophysics |
Popis: | We develop the XFaster Cosmic Microwave Background (CMB) temperature and polarization anisotropy power spectrum and likelihood technique for the Planck CMB satellite mission. We give an overview of this estimator and its current implementation and present the results of applying this algorithm to simulated Planck data. We show that it can accurately extract the power spectrum of Planck data for the high-l multipoles range. We compare the XFaster approximation for the likelihood to other high-l likelihood approximations such as Gaussian and Offset Lognormal and a low-l pixel-based likelihood. We show that the XFaster likelihood is not only accurate at high-l, but also performs well at moderately low multipoles. We also present results for cosmological parameter Markov Chain Monte Carlo estimation with the XFaster likelihood. As long as the low-l polarization and temperature power are properly accounted for, e.g., by adding an adequate low-l likelihood ingredient, the input parameters are recovered to a high level of accuracy. 25 pages, 20 figures, updated to reflect published version: slightly extended account of XFaster technique, added improved plots and minor corrections. Accepted for publication in MNRAS |
Databáze: | OpenAIRE |
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