6 citations · 7 across the 3 of their papers we have counts for
10 papers
Machine-Learning Love: classifying the equation of state of neutron stars with Transformers
Gonçalo Gonçalves, Márcio Ferreira, João Aveiro +4
The use of the Audio Spectrogram Transformer (AST) model for gravitational-wave data analysis is investigated. The AST machine-learning model is a convolution-free classifier that…
Gravitational-Wave Signatures of Chiral-Symmetric Technicolor
Hao Yang, Felipe F. Freitas, Antonino Marciano +3
A chiral-symmetric technicolor model successfully reconciles the tension between electroweak precision tests and traditional technicolor models. Focusing on its simplest realizatio…
Generating gravitational waveform libraries of exotic compact binaries with deep learning
Felipe F. Freitas, Carlos A. R. Herdeiro, António P. Morais +5
Current gravitational wave (GW) detections rely on the existence of libraries of theoretical waveforms. Consequently, finding new physics with GWs requires libraries of non-standar…
Exploring gravitational-wave detection and parameter inference using Deep Learning methods
João D. Álvares, José A. Font, Felipe F. Freitas +5
We explore machine learning methods to detect gravitational waves (GW) from binary black hole (BBH) mergers using deep learning (DL) algorithms. The DL networks are trained with gr…
Phenomenology of vector-like leptons with Deep Learning at the Large Hadron Collider
Felipe F. Freitas, João Gonçalves, António P. Morais +1
In this paper, a model inspired by Grand Unification principles featuring three generations of vector-like fermions, new Higgs doublets and a rich neutrino sector at the low scale…
Deep learnig analysis of the inverse seesaw in a 3-3-1 model at the LHC
D. Cogollo, F. F. Freitas, C. A. de S. Pires +2
Inverse seesaw is a genuine TeV scale seesaw mechanism. In it active neutrinos with masses at eV scale requires lepton number be explicitly violated at keV scale and the existence…