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Title: MODELING EXTRAGALACTIC FOREGROUNDS AND SECONDARIES FOR UNBIASED ESTIMATION OF COSMOLOGICAL PARAMETERS FROM PRIMARY COSMIC MICROWAVE BACKGROUND ANISOTROPY

Abstract

Using the latest physical modeling and constrained by the most recent data, we develop a phenomenological parameterized model of the contributions to intensity and polarization maps at millimeter wavelengths from external galaxies and Sunyaev-Zeldovich effects. We find such modeling to be necessary for estimation of cosmological parameters from Planck data. For example, ignoring the clustering of the infrared background would result in a bias in n{sub s} of 7{sigma} in the context of an eight-parameter cosmological model. We show that the simultaneous marginalization over a full foreground model can eliminate such biases, while increasing the statistical uncertainty in cosmological parameters by less than 20%. The small increases in uncertainty can be significantly reduced with the inclusion of higher-resolution ground-based data. The multi-frequency analysis we employ involves modeling 46 total power spectra and marginalization over 17 foreground parameters. We show that we can also reduce the data to a best estimate of the cosmic microwave background power spectra, with just two principal components (with constrained amplitudes) describing residual foreground contamination.

Authors:
;  [1];  [2]; ;  [3];  [4];  [5];  [6]
  1. Department of Physics, University of California, Davis, CA 95616 (United States)
  2. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 (United States)
  3. Department of Physics, McGill University, Montreal, Quebec H3A 2T8 (Canada)
  4. Department of Physics, Yale University, New Haven, CT 06520-8120 (United States)
  5. Korea Institute for Advanced Study, Seoul 130-722 (Korea, Republic of)
  6. Berkeley Center for Cosmological Physics, Department of Physics, University of California, and Lawrence Berkeley National Labs, Berkeley, CA 94720 (United States)
Publication Date:
OSTI Identifier:
22011819
Resource Type:
Journal Article
Journal Name:
Astrophysical Journal
Additional Journal Information:
Journal Volume: 746; Journal Issue: 1; Other Information: Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0004-637X
Country of Publication:
United States
Language:
English
Subject:
79 ASTROPHYSICS, COSMOLOGY AND ASTRONOMY; AMPLITUDES; ANISOTROPY; COMPUTERIZED SIMULATION; COSMOLOGICAL MODELS; COSMOLOGY; DISTANCE; FREQUENCY ANALYSIS; GALAXIES; RELICT RADIATION; UNIVERSE

Citation Formats

Millea, M, Knox, L, Dore, O, Dudley, J, Holder, G, Shaw, L, Song, Y -S, and Zahn, O. MODELING EXTRAGALACTIC FOREGROUNDS AND SECONDARIES FOR UNBIASED ESTIMATION OF COSMOLOGICAL PARAMETERS FROM PRIMARY COSMIC MICROWAVE BACKGROUND ANISOTROPY. United States: N. p., 2012. Web. doi:10.1088/0004-637X/746/1/4.
Millea, M, Knox, L, Dore, O, Dudley, J, Holder, G, Shaw, L, Song, Y -S, & Zahn, O. MODELING EXTRAGALACTIC FOREGROUNDS AND SECONDARIES FOR UNBIASED ESTIMATION OF COSMOLOGICAL PARAMETERS FROM PRIMARY COSMIC MICROWAVE BACKGROUND ANISOTROPY. United States. https://doi.org/10.1088/0004-637X/746/1/4
Millea, M, Knox, L, Dore, O, Dudley, J, Holder, G, Shaw, L, Song, Y -S, and Zahn, O. 2012. "MODELING EXTRAGALACTIC FOREGROUNDS AND SECONDARIES FOR UNBIASED ESTIMATION OF COSMOLOGICAL PARAMETERS FROM PRIMARY COSMIC MICROWAVE BACKGROUND ANISOTROPY". United States. https://doi.org/10.1088/0004-637X/746/1/4.
@article{osti_22011819,
title = {MODELING EXTRAGALACTIC FOREGROUNDS AND SECONDARIES FOR UNBIASED ESTIMATION OF COSMOLOGICAL PARAMETERS FROM PRIMARY COSMIC MICROWAVE BACKGROUND ANISOTROPY},
author = {Millea, M and Knox, L and Dore, O and Dudley, J and Holder, G and Shaw, L and Song, Y -S and Zahn, O},
abstractNote = {Using the latest physical modeling and constrained by the most recent data, we develop a phenomenological parameterized model of the contributions to intensity and polarization maps at millimeter wavelengths from external galaxies and Sunyaev-Zeldovich effects. We find such modeling to be necessary for estimation of cosmological parameters from Planck data. For example, ignoring the clustering of the infrared background would result in a bias in n{sub s} of 7{sigma} in the context of an eight-parameter cosmological model. We show that the simultaneous marginalization over a full foreground model can eliminate such biases, while increasing the statistical uncertainty in cosmological parameters by less than 20%. The small increases in uncertainty can be significantly reduced with the inclusion of higher-resolution ground-based data. The multi-frequency analysis we employ involves modeling 46 total power spectra and marginalization over 17 foreground parameters. We show that we can also reduce the data to a best estimate of the cosmic microwave background power spectra, with just two principal components (with constrained amplitudes) describing residual foreground contamination.},
doi = {10.1088/0004-637X/746/1/4},
url = {https://www.osti.gov/biblio/22011819}, journal = {Astrophysical Journal},
issn = {0004-637X},
number = 1,
volume = 746,
place = {United States},
year = {Fri Feb 10 00:00:00 EST 2012},
month = {Fri Feb 10 00:00:00 EST 2012}
}