Minimal SO(10) GUT in 4D and its extension to 5D
Abstract
The problems of renormalizable minimal SUSY SO(10) GUT in 4D are discussed. Its highly predictivity has been charged with many observations, which urges further progresses. We show why and how broad data fittings and conceptual problems drive us to 5D and how it improves the model.
0
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.