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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Bibliographic Details
Main Authors: Richard Bond Andrew, Andrew H. Jaffe
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1996
Subjects:
Hubble
South Pole
South pole
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7775
http://cfpa.berkeley.edu/~jaffe/papers/procs/moriond.ps.gz
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.24.7775 2023-05-15T18:22:02+02:00 Cosmic Parameter Estimation Combining Sub-Degree Cmb Experiments With Cobe Richard Bond Andrew Andrew H. Jaffe The Pennsylvania State University CiteSeerX Archives 1996 application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7775 http://cfpa.berkeley.edu/~jaffe/papers/procs/moriond.ps.gz en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7775 http://cfpa.berkeley.edu/~jaffe/papers/procs/moriond.ps.gz Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://cfpa.berkeley.edu/~jaffe/papers/procs/moriond.ps.gz text 1996 ftciteseerx 2016-01-07T19:09:09Z 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. Text South pole Unknown Hubble ENVELOPE(158.317,158.317,-80.867,-80.867) South Pole
institution Open Polar
collection Unknown
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language English
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.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Richard Bond Andrew
Andrew H. Jaffe
spellingShingle Richard Bond Andrew
Andrew H. Jaffe
Cosmic Parameter Estimation Combining Sub-Degree Cmb Experiments With Cobe
author_facet Richard Bond Andrew
Andrew H. Jaffe
author_sort Richard Bond Andrew
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 1996
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7775
http://cfpa.berkeley.edu/~jaffe/papers/procs/moriond.ps.gz
long_lat ENVELOPE(158.317,158.317,-80.867,-80.867)
geographic Hubble
South Pole
geographic_facet Hubble
South Pole
genre South pole
genre_facet South pole
op_source http://cfpa.berkeley.edu/~jaffe/papers/procs/moriond.ps.gz
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.24.7775
http://cfpa.berkeley.edu/~jaffe/papers/procs/moriond.ps.gz
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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