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: Bond, J R, Jaffe, A
Language:English
Published: 1996
Subjects:
Astrophysics and Astronomy
Hubble
South Pole
South pole
Online Access:http://cds.cern.ch/record/312719
id ftcern:oai:cds.cern.ch:312719
record_format openpolar
spelling ftcern:oai:cds.cern.ch:312719 2023-05-15T18:22:03+02:00 Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE Bond, J R Jaffe, A 1996 http://cds.cern.ch/record/312719 eng eng http://cds.cern.ch/record/312719 astro-ph/9610091 CFPA-96-TH-20 oai:cds.cern.ch:312719 Astrophysics and Astronomy 1996 ftcern 2018-07-28T03:09:47Z 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. Other/Unknown Material South pole CERN Document Server (CDS) Hubble ENVELOPE(158.317,158.317,-80.867,-80.867) South Pole
institution Open Polar
collection CERN Document Server (CDS)
op_collection_id ftcern
language English
topic Astrophysics and Astronomy
spellingShingle Astrophysics and Astronomy
Bond, J R
Jaffe, A
Cosmic Parameter Estimation Combining Sub-Degree CMB Experiments with COBE
topic_facet Astrophysics and Astronomy
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.
author Bond, J R
Jaffe, A
author_facet Bond, J R
Jaffe, A
author_sort Bond, J R
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://cds.cern.ch/record/312719
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_relation http://cds.cern.ch/record/312719
astro-ph/9610091
CFPA-96-TH-20
oai:cds.cern.ch:312719
_version_ 1766201398577332224

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