Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE

We describe the Bayesian-based signal-to-noise eigenmode method for cosmological parameter estimation, show how it can be used to optimally compress large CMB anisotropy data sets to manageable sizes, and apply it to the DMR 4-year, South Pole and Saskatchewan data, individually and in combination....

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Main Authors: J. Richard Bond, Andrew H. Jaffe
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1997
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.337.9137
http://arxiv.org/pdf/astro-ph/9610091v1.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.337.9137 2023-05-15T18:22:02+02:00 Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE J. Richard Bond Andrew H. Jaffe The Pennsylvania State University CiteSeerX Archives 1997 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.337.9137 http://arxiv.org/pdf/astro-ph/9610091v1.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.337.9137 http://arxiv.org/pdf/astro-ph/9610091v1.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://arxiv.org/pdf/astro-ph/9610091v1.pdf text 1997 ftciteseerx 2016-01-07T23:44:59Z We describe the Bayesian-based signal-to-noise eigenmode method for cosmological parameter estimation, show how it can be used to optimally compress large CMB anisotropy data sets to manageable sizes, and apply it to the DMR 4-year, South Pole and Saskatchewan data, individually and in combination. A simple prior probability method is used to include large scale structure observations. Estimates of the Hubble parameter, vacuum energy density, baryon fraction and primordial spectral tilt derived from the combined data are given. 1 Text South pole Unknown Hubble ENVELOPE(158.317,158.317,-80.867,-80.867) South Pole
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description We describe the Bayesian-based signal-to-noise eigenmode method for cosmological parameter estimation, show how it can be used to optimally compress large CMB anisotropy data sets to manageable sizes, and apply it to the DMR 4-year, South Pole and Saskatchewan data, individually and in combination. A simple prior probability method is used to include large scale structure observations. Estimates of the Hubble parameter, vacuum energy density, baryon fraction and primordial spectral tilt derived from the combined data are given. 1
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author J. Richard Bond
Andrew H. Jaffe
spellingShingle J. Richard Bond
Andrew H. Jaffe
Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE
author_facet J. Richard Bond
Andrew H. Jaffe
author_sort J. Richard Bond
title Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE
title_short Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE
title_full Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE
title_fullStr Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE
title_full_unstemmed Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE
title_sort cosmic parameter estimation combining sub-degree cmb experiments with cobe
publishDate 1997
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.337.9137
http://arxiv.org/pdf/astro-ph/9610091v1.pdf
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op_source http://arxiv.org/pdf/astro-ph/9610091v1.pdf
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http://arxiv.org/pdf/astro-ph/9610091v1.pdf
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