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Breeding Realistic D‐Brane Models

Journal Article · · Fortschritte der Physik
 [1];  [1]
  1. Department of Physics University of Wisconsin‐Madison 1150 University Ave Madison WI 53706 U.S.A.
Abstract

Intersecting branes provide a useful mechanism to construct particle physics models from string theory with a wide variety of desirable characteristics. The landscape of such models can be enormous, and navigating towards regions which are most phenomenologically interesting is potentially challenging. Machine learning techniques can be used to efficiently construct large numbers of consistent and phenomenologically desirable models. In this work we phrase the problem of finding consistent intersecting D‐brane models in terms of genetic algorithms, which mimic natural selection to evolve a population collectively towards optimal solutions. For a four‐dimensional supersymmetric type IIA orientifold with intersecting D6‐branes, we demonstrate that unique, fully consistent models can be easily constructed, and, by a judicious choice of search environment and hyper‐parameters, of the found models contain the desired Standard Model gauge group factor. Having a sizable sample allows us to draw some preliminary landscape statistics of intersecting brane models both with and without the restriction of having the Standard Model gauge factor.

Research Organization:
University of Wisconsin, Madison, WI (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE; USDOE Office of Science (SC); University of Wisconsin
Grant/Contract Number:
SC0017647
OSTI ID:
1855878
Alternate ID(s):
OSTI ID: 23162582
OSTI ID: 1976378
OSTI ID: 1996584
Journal Information:
Fortschritte der Physik, Journal Name: Fortschritte der Physik Journal Issue: 5 Vol. 70; ISSN 0015-8208
Publisher:
Wiley Blackwell (John Wiley & Sons)Copyright Statement
Country of Publication:
Germany
Language:
English

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