4 papers
Quantifying vacuum-like jets in heavy-ion collisions: a Machine Learning study
Miguel Crispim Romão, João Arruda Gonçalves, José Guilherme Milhano
The modification of jets by interaction with the Quark Gluon Plasma has been extensively established through the comparison of observables computed for samples of jets produced in…
Exploring Scotogenic Parameter Spaces and Mapping Uncharted Dark Matter Phenomenology with Multi-Objective Search Algorithms
Fernando Abreu de Souza, Nuno Filipe Castro, Miguel Crispim Romão +1
We present a novel artificial intelligence approach to explore beyond Standard Model parameter spaces by leveraging a multi-objective optimisation algorithm. We apply this methodol…
Combining Evolutionary Strategies and Novelty Detection to go Beyond the Alignment Limit of the 3HDM
Jorge Crispim Romão, Miguel Crispim Romão
We present a novel Artificial Intelligence approach for Beyond the Standard Model parameter space scans by augmenting an Evolutionary Strategy with Novelty Detection. Our approach…
Gravitational Waves and Gravitino Mass in No-Scale Supergravity Inflation with Polonyi Term
Miguel Crispim Romão, Stephen F. King
We study a No-Scale supergravity inflation model which has a non-minimal deformation of the Kähler potential and a Wess-Zumino superpotential extended by the inclusion of a Polonyi…