Zobrazeno 1 - 10
of 2 612
pro vyhledávání: '"Poncelet P"'
Autor:
Papastergiou Thomas, Azé Jérôme, Bringay Sandra, Louet Maxime, Poncelet Pascal, Rosales-Hurtado Miyanou, Vo-Hoang Yen, Licznar-Fajardo Patricia, Docquier Jean-Denis, Gavara Laurent
Publikováno v:
Journal of Integrative Bioinformatics, Vol 20, Iss 2, Pp 629-55 (2023)
NDM-1 (New-Delhi-Metallo-β-lactamase-1) is an enzyme developed by bacteria that is implicated in bacteria resistance to almost all known antibiotics. In this study, we deliver a new, curated NDM-1 bioactivities database, along with a set of unifying
Externí odkaz:
https://doaj.org/article/1f931047d7ab413eaff8966dca38a852
Continuous speech can be converted into a discrete sequence by deriving discrete units from the hidden features of self-supervised learned (SSL) speech models. Although SSL models are becoming larger and trained on more data, they are often sensitive
Externí odkaz:
http://arxiv.org/abs/2409.02565
We examine the effect of finite top- and bottom-quark masses on the Higgs production cross section in the gluon-gluon fusion channel. We employ both $\overline{\text{MS}}$ and on-shell renormalisation for the quark masses and provide a thorough compa
Externí odkaz:
http://arxiv.org/abs/2407.12413
Autor:
Andersen, J., Assi, B., Asteriadis, K., Azzurri, P., Barone, G., Behring, A., Benecke, A., Bhattacharya, S., Bothmann, E., Caletti, S., Chen, X., Chiesa, M., Cooper-Sarkar, A., Cridge, T., Gomez, A. Cueto, Datta, S., Dhani, P. K., Donega, M., Engel, T., Ravasio, S. Ferrario, Forte, S., Francavilla, P., Garzelli, M. V., Ghira, A., Ghosh, A., Giuli, F., Gouskos, L., Gras, P., Gütschow, C., Haddad, Y., Harland-Lang, L., Hekhorn, F., Helenius, I., Hinzmann, A., Höche, S., Holguin, J., Huss, A., Huston, J., Ježo, T., Jones, S., Kiebacher, S., Knobbe, M., Kogler, R., Köneke, K., Kunz, L., LeBlanc, M., Loch, P., Centeno, G. Loeschcke, Löschner, M., Maas, A., Magni, G., Maier, A., Marcoli, M., Marzani, S., McFayden, J., Meinzinger, P., Mikuni, V., Moch, S., Nadolsky, P., Napoletano, D., Pellen, M., Plätzer, S., Poncelet, R., Preuss, C., Qu, H., Rabbertz, K., Reichelt, D., Rescia, A., Roloff, J., Röntsch, R., Cruz, S. Sanchez, Sarkar, T., Scyboz, L., Sforza, F., Siódmok, A., Stagnitto, G., Tarek, A., Thorne, R. S., Valassi, A., Whitehead, J., Winter, J., Delaunay, C., Herrmann, B., Re, E.
This report presents a short summary of the activities of the "Standard Model" working group for the "Physics at TeV Colliders" workshop (Les Houches, France, 12-30 June, 2023).
Comment: Proceedings of the Standard Model Working Group of the 202
Comment: Proceedings of the Standard Model Working Group of the 202
Externí odkaz:
http://arxiv.org/abs/2406.00708
Autor:
Poncelet, Rene
Comparisons of higher-order predictions within the Standard Model of Particle Physics (SM) to data are central to high-energy collider experiments like the Large Hadron Collider (LHC). Processes with multiple kinematic scales, such as multi-jet and p
Externí odkaz:
http://arxiv.org/abs/2405.01330
Publikováno v:
Phys. Rev. Lett. 132, 211902 (2024)
We evaluate the top-bottom interference contribution to the fully-inclusive Higgs production cross section at next-to-next-to-leading order in QCD. Although bottom-quark-mass effects are power-suppressed, the accuracy of state-of-the-art theory predi
Externí odkaz:
http://arxiv.org/abs/2312.09896
Autor:
Poncelet, Jakob, Van hamme, Hugo
Self-supervised pre-trained speech models have strongly improved speech recognition, yet they are still sensitive to domain shifts and accented or atypical speech. Many of these models rely on quantisation or clustering to learn discrete acoustic uni
Externí odkaz:
http://arxiv.org/abs/2309.13994
Autor:
Badger, Simon, Czakon, Michal, Hartanto, Heribertus Bayu, Moodie, Ryan, Peraro, Tiziano, Poncelet, Rene, Zoia, Simone
In this work, we provide a comprehensive set of differential cross-section distributions for photon + di-jet production in proton-proton collisions with next-to-next-to-leading order precision in massless QCD. The event selection corresponds to recen
Externí odkaz:
http://arxiv.org/abs/2304.06682
We introduce HighTEA, a new paradigm for deploying fully-differential next-to-next-to leading order (NNLO) calculations for collider observables. In principle, any infrared safe observable can be computed and, with very few restrictions, the user has
Externí odkaz:
http://arxiv.org/abs/2304.05993
Autor:
Alvarez, Manuel, Cantero, Josu, Czakon, Michal, Llorente, Javier, Mitov, Alexander, Poncelet, Rene
In this work we perform the first ever calculation of jet event shapes at hadron colliders at next-to-next-to leading order (NNLO) in QCD. The inclusion of higher order corrections removes the shape difference observed between data and next-to-leadin
Externí odkaz:
http://arxiv.org/abs/2301.01086