Bayesian asteroseismology

Show simple item record

dc.contributor.advisor Guenther, David B.
dc.creator Gruberbauer, Michael
dc.date.accessioned 2013-06-24T15:40:24Z
dc.date.available 2013-06-24T15:40:24Z
dc.date.issued 2013
dc.identifier.other QB812 G78 2013
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/25009
dc.description xvi, 172 leaves : ill. (some col.) ; 29 cm.
dc.description Includes abstract.
dc.description Includes bibliographical references.
dc.description.abstract This thesis presents a new probabilistic method for the asteroseismic analysis of stellar structure and evolution with the goal of providing a universal tool to improve our knowledge of stellar modelling. This new method implements the advantages of Bayesian analysis, such as the treatment of systematic errors and nuisance parameters, the modular structure of Bayesian analysis, and the correct normalization of all probabilities. First, a general introduction to asteroseismology is provided, followed by an comprehensive guide to Bayesian analysis. The derivation of the new method then follows, and its subsequent application to current problems in asteroseismology is also presented. An in-depth analysis of the Sun is performed in order to investigate long standing problems with the solar chemical composition. This also reveals the presence of systematic problems in the modelling of the Sun, potentially requiring new developments in solar modelling. Finally, the new method is also applied to 23 stars that were observed with the Kepler satellite, in order to perform a comparative investigation with respect to published results from other teams, and to study systematic errors in the stellar models. en_CA
dc.description.provenance Submitted by Trish Grelot (trish.grelot@smu.ca) on 2013-06-24T15:40:24Z No. of bitstreams: 1 gruberbauer_michael_phd_2013.pdf: 3078736 bytes, checksum: 3d1aab9adb15f97ac0b5717b9941bd2e (MD5) en
dc.description.provenance Made available in DSpace on 2013-06-24T15:40:24Z (GMT). No. of bitstreams: 1 gruberbauer_michael_phd_2013.pdf: 3078736 bytes, checksum: 3d1aab9adb15f97ac0b5717b9941bd2e (MD5) en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc QB812
dc.subject.lcsh Astroseismology
dc.subject.lcsh Bayesian statistical decision theory
dc.subject.lcsh Solar oscillations
dc.subject.lcsh Stellar oscillations
dc.title Bayesian asteroseismology en_CA
dc.type Text en_CA
thesis.degree.name Doctor of Philosophy in Astronomy
thesis.degree.level Doctoral
thesis.degree.discipline Astronomy and Physics
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
 Find Full text

Files in this item

 
 

This item appears in the following Collection(s)

Show simple item record