24 citations · 56 across the 10 of their papers we have counts for
10 papers
Variant-driven multi-wave pattern of COVID-19 via a Machine Learning analysis of spike protein mutations
Adele de Hoffer, Shahram Vatani, Corentin Cot +7
Applying a ML approach to the temporal variability of the Spike protein sequence enables us to identify, classify and track emerging virus variants. Our analysis is unbiased, in th…
Thermal radiation and inclusive production in the running coupling -- factorization approach
A. V. Giannini, V. P. Goncalves, P. V. R. G. Silva
The characteristics of the thermal radiation are investigated using a two - component model, with the hard component being described by the Color Glass Condensate formalism. The in…
Non-perturbative renormalization of the average color charge and multi-point correlators of color charge from a non-Gaussian small- action
Andre V. Giannini, Yasushi Nara
The McLerran-Venugopalan (MV) model is a Gaussian effective theory of color charge fluctuations at small- in the limit of large valence charge density, {\it i}.{\it e}., a large…
Limiting fragmentation as an initial state probe in heavy ion collisions
Kayman J. Gonçalves, Andre V. Giannini, David D. Chinellato +1
We discuss limiting fragmentation within a few currently popular phenomenological models. We show that popular Glauber-inspired models of particle production in heavy ion collision…
Bulk quantities in nuclear collisions from running coupling -factorization and hybrid simulations
Andre V. Giannini, Frédérique Grassi, Matthew Luzum
Starting from a Color Glass Condensate (CGC) framework, based on a running-coupling improved -factorized formula, we calculate bulk observables in several heavy-ion collision…
Impact of the inelastic proton -- nucleus cross section on the prompt neutrino flux
A. V. Giannini, V. P. Goncalves
The description of the inelastic proton -- nucleus cross section at very high energies is still an open question. The current theoretical uncertainty has direct impact on the predi…