ABSTRACT BALANCED METRICS AND PHENOMENOLOGICAL ASPECTS OF HETEROTIC STRING COMPACTIFICATIONS Tamaz Brelidze Burt Ovrut, Advisor This thesis mainly focuses on numerical methods for studying Calabi-Yau manifolds. Such methods are instrumental in linking models inspired by the mi- croscopic physics of string theory and the observable four dimensional world. In particular, it is desirable to compute Yukawa and gauge couplings. However, only for a relatively small class of geometries can those be computed exactly using the rather involved tools of algebraic geometry and topological string theory. Numerical methods provide one of the alternatives to go beyond these limitations. In this work we describe numerical procedures for computi...
This thesis contributes with a number of topics to the subject of string compactifications, especial...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
The goal of this thesis is to review and investigate recent applications of machine learning to prob...
ABSTRACT BALANCED METRICS AND PHENOMENOLOGICAL ASPECTS OF HETEROTIC STRING COMPACTIFICATIONS Tama...
This thesis mainly focuses on numerical methods for studying Calabi-Yau manifolds. Such methods are ...
This thesis mainly focuses on numerical methods for studying Calabi-Yau manifolds. Such methods are ...
This thesis is concerned with heterotic E8 ×E8 string models that can produce quasirealistic N = 1 s...
We approach string phenomenology from the perspective of computational algebraic geometry, by provid...
We undertake a systematic scan of vector bundles over spaces from the largest database of known Cala...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
This thesis contributes with a number of topics to the subject of string compactifications, especial...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
We approach string phenomenology from the perspective of computational algebraic geometry, by provid...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
This thesis contributes with a number of topics to the subject of string compactifications, especial...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
The goal of this thesis is to review and investigate recent applications of machine learning to prob...
ABSTRACT BALANCED METRICS AND PHENOMENOLOGICAL ASPECTS OF HETEROTIC STRING COMPACTIFICATIONS Tama...
This thesis mainly focuses on numerical methods for studying Calabi-Yau manifolds. Such methods are ...
This thesis mainly focuses on numerical methods for studying Calabi-Yau manifolds. Such methods are ...
This thesis is concerned with heterotic E8 ×E8 string models that can produce quasirealistic N = 1 s...
We approach string phenomenology from the perspective of computational algebraic geometry, by provid...
We undertake a systematic scan of vector bundles over spaces from the largest database of known Cala...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
This thesis contributes with a number of topics to the subject of string compactifications, especial...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
We approach string phenomenology from the perspective of computational algebraic geometry, by provid...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
This thesis contributes with a number of topics to the subject of string compactifications, especial...
Compactifications of heterotic theories on smooth Calabi-Yau manifolds remain one of the most promis...
The goal of this thesis is to review and investigate recent applications of machine learning to prob...