Enrique Escalante-Notario

arXiv2025

The Non-SUSY Orbifolder: a tool to build promising non-supersymmetric string models

We introduce the non-SUSY orbifolder, which is a program developed in C++ that computes the low-energy effective theory of non-supersymmetric heterotic orbifold compactifications. The program includes routines to compute the massless spectrum, to automatically generate large sets of orbifold models, to identify phenomenologically interesting models (e.g. models sharing features of the Standard Model (SM) or Grand Unified Theories (GUT)) and to analyze their vacuum configurations.

hep-th↗

arXiv2024

An autoencoder for heterotic orbifolds with arbitrary geometry

Artificial neural networks have become important to improve the search for admissible string compactifications and characterize them. In this paper we construct the heterotic orbiencoder, a general deep autoencoder to study heterotic orbifold models arising from various Abelian orbifold geometries. Our neural network can be easily trained to successfully encode the large parameter space of many orbifold geometries simultaneously, independently of the statistical dissimilarities of their training features. In particular, we show that our autoencoder is capable of compressing with good accuracy the large parameter space of two promising orbifold geometries in just three parameters. Further, most orbifold models with phenomenologically appealing features appear in bounded regions of this small space. Our contribution hints towards a possible simplification of the classification of (promising) heterotic orbifold models.

hep-th↗