A Bayesian Analysis of QCD Sum Rules
The author develops a novel analysis method for QCD sum rules (QCDSR) by applying the maximum entropy method (MEM) to arrive at an analysis with less artificial assumptions than previously held. This is a first-time accomplishment in the field.In this thesis, a reformed MEM for QCDSR is formalized a...
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| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Tokyo :
Springer Japan
[20..].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2013. |
| Serija: | Springer Theses, Recognizing Outstanding Ph.D. Research
|
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • A Bayesian Analysis of QCD Sum Rules, Texte imprimé, 9784431543176 • A Bayesian Analysis of QCD Sum Rules, Texte imprimé, 9784431546962 • A Bayesian Analysis of QCD Sum Rules, Texte imprimé, 9784431543190 • A Bayesian Analysis of QCD Sum Rules, Texte imprimé, 9784431543176 |
| Izvleček: | The author develops a novel analysis method for QCD sum rules (QCDSR) by applying the maximum entropy method (MEM) to arrive at an analysis with less artificial assumptions than previously held. This is a first-time accomplishment in the field.In this thesis, a reformed MEM for QCDSR is formalized and is applied to the sum rules of several channels: the light-quark meson in the vector channel, the light-quark baryon channel with spin and isospin 1/2, and several quarkonium channels at both zero and finite temperatures. This novel technique of combining QCDSR with MEM is applied to the study of quarkonium in hot matter, which is an important probe of the quark-gluon plasma currently being created in heavy-ion collision experiments at RHIC and LHC |
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| Opis knjige/članka: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9784431543183 |
| ISSN: | 2190-5061 |
| Dostop: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |