83 citations · 256 across the 24 of their papers we have counts for
24 papers
Two Flavon Froggatt-Nielsen Models with Genetic Algorithms
Miguel Crispim Romão, Stephen F. King
We present the first systematic and comprehensive scan of two-flavon Froggatt-Nielsen (FN) models, employing artificial intelligence techniques to explore the high-dimensional, mix…
BSMArt 2: simpler and faster parameter space scans
Fernando Abreu de Souza, Nuno Filipe Castro, Miguel Crispim Romão +3
We present version 2 of BSMArt, a powerful yet lightweight scanning tool designed to simplify the exploration of parameter spaces of new physics models. Aside from architectural im…
Toward decision-aware AI for LSST-scale time-domain astronomy
C. R. Bom, A. Mahabal, F. Bianco +27
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will generate approximately (10^7) alerts per night, pushing time-domain astronomy beyond pipelines that trea…
Machine Learning insights on the Z3 3HDM with Dark Matter
Fernando Abreu de Souza, Rafael Boto, Miguel Crispim Romão +2
We study a 3-Higgs Doublet Model (3HDM) with an imposed Z3 symmetry, allowing for two Inert scalar doublets and one active Higgs doublet. The WIMP dark matter candidates correspond…
Symbolic Regression and Differentiable Fits in Beyond the Standard Model Physics
Shehu AbdusSalam, Steven Abel, Deaglan Bartlett +1
We demonstrate the efficacy of symbolic regression (SR) to probe models of particle physics Beyond the Standard Model (BSM), by considering the so-called Constrained Minimal Supers…
Dark Classification Matters: Searching for Primordial Black Holes with LSST
Miguel Crispim Romao, Djuna Croon, Benedict Crossey +1
We present projected constraints on the abundance of primordial black holes (PBHs) as a constituent of dark matter, based on microlensing observations from the upcoming Legacy Surv…
Sensitivity to New Physics Phenomena in Anomaly Detection: A Study of Untunable Hyperparameters
Fernando Abreu de Souza, Maura Barros, Nuno Filipe Castro +3
The search for physics beyond the Standard Model (BSM) at collider experiments requires model-independent strategies to avoid missing possible discoveries of unexpected signals. An…
Unearthing large pseudoscalar Yukawa couplings with Machine Learning
Fernando Abreu de Souza, Rafael Boto, Miguel Crispim Romão +3
With the Large Hadron Collider's Run 3 in progress, the 125 GeV Higgs boson couplings are being examined in greater detail, while searching for additional scalars. Multi-Higgs fram…
Anomaly Detection to identify Transients in LSST Time Series Data
Miguel Crispim Romao, Djuna Croon, Daniel Godines
We introduce a novel approach to detecting microlensing events and other transients in light curves, utilising the isolation forest (iForest) algorithm for anomaly detection. Focus…
Modular Family Symmetry in Fluxed GUTs
Vasileios Basiouris, Miguel Crispim Romão, Stephen F. King +1
We discuss modular family symmetry in effective theories based on generic properties of bottom-up local F-theory inspired GUTs broken by fluxes, which we refer to as Fluxed GUTs. W…
Symbolic Regression for Beyond the Standard Model Physics
Shehu AbdusSalam, Steve Abel, Miguel Crispim Romao
We propose symbolic regression as a powerful tool for studying Beyond the Standard Model physics. As a benchmark model, we consider the so-called Constrained Minimal Supersymmetric…
Microlensing signatures of extended dark objects using machine learning
Miguel Crispim Romão, Djuna Croon
This paper presents a machine learning-based method for the detection of the unique gravitational microlensing signatures of extended dark objects, such as boson stars, axion minic…
Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis
Miguel Crispim Romão, José Guilherme Milhano, Marco van Leeuwen
We present a survey of a comprehensive set of jet substructure observables commonly used to study the modifications of jets resulting from interactions with the Quark Gluon Plasma…
Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
Fernando Abreu de Souza, Miguel Crispim Romão, Nuno Filipe Castro +2
Constraining Beyond the Standard Model theories usually involves scanning highly multi-dimensional parameter spaces and check observable predictions against experimental bounds and…
Deep Learning for the Classification of Quenched Jets
L. Apolinário, N. F. Castro, M. Crispim Romão +3
An important aspect of the study of Quark-Gluon Plasma (QGP) in ultra-relativistic collisions of heavy ions is the ability to identify, in experimental data, a subset of the jets t…
Finding New Physics without learning about it: Anomaly Detection as a tool for Searches at Colliders
M. Crispim Romao, N. F. Castro, R. Pedro
In this paper we propose a new strategy, based on anomaly detection methods, to search for new physics phenomena at colliders independently of the details of such new events. For t…
Use of a Generalized Energy Mover's Distance in the Search for Rare Phenomena at Colliders
M. Crispim Romao, N. F. Castro, J. G. Milhano +2
In this paper, we expand on the previously proposed concept of Energy Mover's Distance. The resulting observables are shown to provide a way of identifying rare processes in proton…
Transferability of Deep Learning Models in Searches for New Physics at Colliders
M. Crispim Romao, N. F. Castro, R. Pedro +1
In this work we assess the transferability of deep learning models to detect beyond the standard model signals. For this we trained Deep Neural Networks on three different signal m…
Starobinsky-like inflation in no-scale supergravity Wess-Zumino model with Polonyi term
Miguel Crispim Romao, Stephen F. King
We propose a simple modification of the no-scale supergravity Wess-Zumino model of Starobinsky-like inflation to include a Polonyi term in the superpotential. The purpose of this t…
R-Parity violation in F-Theory
Miguel Crispim Romão, Athanasios Karozas, Stephen F. King +2
We discuss R-parity violation (RPV) in semi-local and local F-theory constructions. We first present a detailed analysis of all possible combinations of RPV operators arising from…
Neutrino mass from M Theory SO(10)
Bobby S. Acharya, Krzysztof Bozek, Miguel Crispim Romão +2
We study the origin of neutrino mass from arising from Theory compactified on a -manifold. This is linked to the problem of the breaking of the extra gauge…
MSSM from F-theory SU(5) with Klein Monodromy
Miguel Crispim Romão, Athanasios Karozas, Stephen F. King +2
We revisit a class of SUSY GUT models which arise in the context of the spectral cover with Klein Group monodromy . We show that matter parities ca…
Grand Unification from theory on a manifold
Miguel Crispim Romão
We consider Grand Unified Theories based on which originate from theory on manifolds. In this framework we are naturally led to a novel solution of the doublet-t…
SO(10) Grand Unification in M theory on a G2 manifold
Bobby S. Acharya, Krzysztof Bożek, Miguel Crispim Romão +2
We consider Grand Unified Theories based on which originate from string/ theory on manifolds or Calabi-Yau spaces with discrete symmetries. In this framework we a…