6 papers
Prominence: A discriminator of gravitational wave signals
João Gonçalves, Danny Marfatia, António P. Morais
The concept of prominence is familiar to signal engineers, topographers and mountaineers. We introduce Prominence as a discriminator of gravitational wave (GW) signals. We…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…
Sterile neutrino dark matter in conformal Majoron models
João Gonçalves, Danny Marfatia, António P. Morais +2
We study sterile neutrino dark matter (DM) in a classically conformal U(1)' extension of the Standard Model with three right-handed neutrinos and a Majoron-like singlet scalar that…
All is More: Energy Flow Networks for Jet Quenching
João A. Gonçalves
Jet quenching, the modification of jets by the quark-gluon plasma in heavy-ion collisions, provides a sensitive probe of the properties of the medium. A jet-by-jet discrimination s…
Apples to Apples in Jet Quenching: robustness of Machine Learning classification of quenched jets to Underlying Event contamination
João Arruda Gonçalves, José Guilherme Milhano
Progress in the theoretical understanding of parton branching dynamics within an expanding Quark Gluon Plasma relies on detailed and fair comparisons with experimental data for rec…
Combining Autoregressive and Autoencoder Language Models for Text Classification
João Gonçalves
This paper presents CAALM-TC (Combining Autoregressive and Autoencoder Language Models for Text Classification), a novel method that enhances text classification by integrating aut…