Zobrazeno 1 - 10
of 2 733
pro vyhledávání: '"P. Buonocore"'
The development of domain-specific language models has significantly advanced natural language processing applications in various specialized fields, particularly in biomedicine. However, the focus has largely been on English-language models, leaving
Externí odkaz:
http://arxiv.org/abs/2407.06011
We present a generator for lepton nucleon collisions in the DIS regime, focusing in particular on processes with a massive lepton and/or a massive quark in the final state. We have built a full code matching NLO QCD corrections to parton shower Monte
Externí odkaz:
http://arxiv.org/abs/2406.05115
Autor:
Alekhin, S., Amoroso, S., Buonocore, L., Huss, A., Kallweit, S., Kardos, A., Michel, J., Moch, S., Petriello, F., Rottoli, L., Trócsányi, Z., Wiesemann, M.
We compute differential distributions for Drell-Yan processes at the LHC and the Tevatron colliders at next-to-next-to-leading order in perturbative QCD, including fiducial cuts on the decay leptons in the final state. The comparison of predictions o
Externí odkaz:
http://arxiv.org/abs/2405.19714
We consider neutral- and charged-current Drell Yan lepton-pair production at hadron colliders, and include dominant classes of electroweak and mixed QCD-electroweak corrections to all orders in perturbation theory. The accurate description of these p
Externí odkaz:
http://arxiv.org/abs/2404.15112
Autor:
Bergomi, Laura, Buonocore, Tommaso M., Antonazzo, Paolo, Alberghi, Lorenzo, Bellazzi, Riccardo, Preda, Lorenzo, Bortolotto, Chandra, Parimbelli, Enea
Publikováno v:
Artificial Intelligence in Medicine, Volume 154, 2024
BACKGROUND: Radiology reports are typically written in a free-text format, making clinical information difficult to extract and use. Recently the adoption of structured reporting (SR) has been recommended by various medical societies thanks to the ad
Externí odkaz:
http://arxiv.org/abs/2403.18938
Autor:
Peracchio, Lorenzo, Nicora, Giovanna, Parimbelli, Enea, Buonocore, Tommaso Mario, Bergamaschi, Roberto, Tavazzi, Eleonora, Dagliati, Arianna, Bellazzi, Riccardo
Applying Artificial Intelligence (AI) and Machine Learning (ML) in critical contexts, such as medicine, requires the implementation of safety measures to reduce risks of harm in case of prediction errors. Spotting ML failures is of paramount importan
Externí odkaz:
http://arxiv.org/abs/2402.17554
We consider subleading power corrections to event shape variables in $e^+e^-$ collisions at the first order in the QCD coupling $\alpha_s$. We start from the jettiness variable $\tau_2$ and the $y_{23}$ resolution variable for the $k_T$ jet clusterin
Externí odkaz:
http://arxiv.org/abs/2311.12768
Scenarios with new physics particles feebly interacting with the Standard Model sector provide compelling candidates for dark matter searches. Geared with a set of new experiments for the detection of neutrinos and long-lived particles the Large Hadr
Externí odkaz:
http://arxiv.org/abs/2309.12793
We consider the class of inclusive hadron collider processes in which one or more energetic jets are produced, possibly accompanied by colourless particles. We provide a general formulation of a slicing scheme for this class of processes, by identify
Externí odkaz:
http://arxiv.org/abs/2307.11570
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 8, Pp 1-49 (2024)
Abstract We present a generator for lepton nucleon collisions in the DIS regime, focusing in particular on processes with a massive lepton and/or a massive quark in the final state. We have built a full code matching NLO QCD corrections to parton sho
Externí odkaz:
https://doaj.org/article/7b975a915dc04dceb6f6cef03b1fdce4