Shehu AbdusSalam (Shahid Beheshti University)
String compactifications with stabilised moduli and flat directions make it possible to
constrain the theory using phenomenological constraints or data. The base geometry
typically has many, analytically intractible, moduli fields and flux quanta that
characterise the kind of physics which could be explained. Numerical moduli stabilisation will facilitate the connection of Calabi-Yau data, phenomenology and machine-learning of the string theory landscape. We explore the possibility of this by applying nested-sampling algorithms for minimising supergravity potentials.
Shehu AbdusSalam (Shahid Beheshti University) Fernando Quevedo (ICTP and DAMTP) Michele Cicoli Pramod Shukla Steven Abel