49 citations · 268 across the 19 of their papers we have counts for
19 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…
Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection
João Aveiro, Felipe F. Freitas, Márcio Ferreira +4
We demonstrate the application of the YOLOv5 model, a general purpose convolution-based single-shot object detection model, in the task of detecting binary neutron star (BNS) coale…
On interplay between flavour anomalies and neutrino properties
Felipe F. Freitas, João Gonçalves, António P. Morais +2
A minimal extension of the Standard Model (SM) featuring two scalar leptoquarks, an SU(2) doublet with hypercharge 1/6 and a singlet with hypercharge 1/3, is proposed as an economi…
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…
Phenomenology at the Large Hadron Collider with Deep Learning: the case of vector-like quarks decaying to light jets
Felipe F. Freitas, João Gonçalves, António P. Morais +1
In this work, we continue our exploration of TeV-scale vector-like fermion signatures inspired by a Grand Unification scenario based on the trinification gauge group. A particular…
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…
Phenomenology of a flavoured multiscalar BGL-like model with three generations of massive neutrinos
Pedro M. Ferreira, Felipe F. Freitas, João Gonçalves +3
In this paper, we present several possible anomaly-free implementations of the Branco-Grimus-Lavoura (BGL) model with two Higgs doublets and one singlet scalar. The model also incl…
Impact of SM parameters and of the vacua of the Higgs potential in gravitational waves detection
Felipe F. Freitas, Gabriel Lourenço, António P. Morais +5
In this work we discuss two different phases of a complex singlet extension of the Standard Model (SM) together with an extension that also includes new fermion fields, in particul…
Deep Learning Searches for Vector-Like Leptons at the LHC and Electron/Muon Colliders
António P. Morais, António Onofre, Felipe F. Freitas +3
The discovery potential of both singlet and doublet vector-like leptons (VLLs) at the Large Hadron Collider (LHC) as well as at the not-so-far future muon and electron machines is…
Collider signatures of vector-like fermions from a flavor symmetric model
Cesar Bonilla, A. E. Cárcamo Hernández, João Gonçalves +3
We propose a model with two Higgs doublets and several scalar singlets with a global non-Abelian flavor symmetry . This discrete group acc…
Ultralight bosons for strong gravity applications from simple Standard Model extensions
Felipe F. Freitas, Carlos A. R. Herdeiro, António P. Morais +5
We construct families, and concrete examples, of simple extensions of the Standard Model that can yield ultralight {real or} complex vectors or scalars with potential astrophysical…
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…
Towards recognizing the light facet of the Higgs Boson
Alexandre Alves, Felipe F. Freitas
The Higgs boson couplings to bottom and top quarks have been measured and agree well with the Standard Model predictions. Decays to lighter quarks and gluons, however, remain elusi…
Exploring SMEFT in VH with Machine Learning
Felipe F. Freitas, Charanjit K. Khosa, Verónica Sanz
In this paper we study the use of Machine Learning techniques to exploit kinematic information in VH, the production of a Higgs in association with a massive vector boson. We param…
Implementing the inverse type-II seesaw mechanism into the 3-3-1 model
Carlos Antônio de Sousa Pires, Felipe Ferreira de Freitas, Jing Shu +2
After the LHC is turning on and accumulating more data, the TeV scale seesaw mechanisms for small neutrino masses in the form of inverse seesaw mechanisms are gaining more and more…
Resonant production of and signature of right-handed neutrinos within a 3-3-1 model
F. F. Freitas, C. A. de S. Pires, P. Vasconcelos
Recent simulation studies indicate that right-handed neutrinos may be discovered at future high luminosity LHC runs as long as a new neutral gauge boson, , have been di…
Inverse type II seesaw mechanism and its signature at the LHC and ILC
F. F. Freitas, C. A. de S. Pires, P. S. Rodrigues da Silva
The advent of the LHC, and the proposal of building future colliders as the ILC, both programmed to explore new physics at the TeV scale, justifies the recent interest in studying…