2025-03-21 15:40 |
დეტალური ჩანაწერი
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2025-03-21 10:53 |
Measurement of $W^+W^-$ production cross-section at 13.6 TeV with the CMS experiment
/ Phor, Saumya (Delhi U.)
/CMS Collaboration
The first measurements of $W^{+}W^{-}$ production cross section in proton-proton collisions at a centre-of-mass energy of 13.6 TeV are presented.
The data used were recorded with the CMS detector at the LHC in 2022, corresponding to an integrated luminosity of 34.8 fb$^{-1}$.
The events are selected by requiring one electron and one muon of opposite charge.
The total inclusive $W^+W^-$ cross section is measured to be $125.7 \pm 5.6$~pb, consistent with the standard model predictions.
Fiducial cross sections are also reported as a function of the jet multiplicity in the event and compared with different theoretical predictions..
CMS-CR-2025-067.-
Geneva : CERN, 2025 - 5 p.
Fulltext: PDF;
In : 26th DAE-BRNS High Energy Physics Symposium 2024, Varanasi, India, 19 - 23 Dec 2024
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დეტალური ჩანაწერი
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2025-03-21 07:49 |
დეტალური ჩანაწერი
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2025-03-21 04:08 |
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Classification of Electron and Muon Neutrino Events for the ESS$\nu$SB Near Water Cherenkov Detector using Graph Neural Networks
/ Aguilar, J. (ESS, Bilbao) ; Anastasopoulos, M. (ESS, Lund) ; Barčot, D. (Boskovic Inst., Zagreb) ; Baussan, E. (Strasbourg, IPHC) ; Bhattacharyya, A.K. (ESS, Lund) ; Bignami, A. (ESS, Lund) ; Blennow, M. (Royal Inst. Tech., Stockholm ; Stockholm Observ.) ; Bogomilov, M. (Sofiya U.) ; Bolling, B. (ESS, Lund) ; Bouquerel, E. (Strasbourg, IPHC) et al.
In the effort to obtain a precise measurement of leptonic CP-violation with the ESS$\nu$SB experiment, accurate and fast reconstruction of detector events plays a pivotal role. [...]
arXiv:2503.15247.
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24.
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დეტალური ჩანაწერი
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2025-03-20 23:41 |
დეტალური ჩანაწერი
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2025-03-20 06:28 |
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Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
/ Anderlini, Lucio (INFN, Florence) ; Barbetti, Matteo (INFN, CNAF) ; Bianchini, Giulio (INFN, Perugia ; Perugia U.) ; Ciangottini, Diego (INFN, Perugia) ; Dal Pra, Stefano (INFN, CNAF) ; Michelotto, Diego (INFN, CNAF) ; Pellegrino, Carmelo (INFN, CNAF) ; Petrini, Rosa (INFN, Florence) ; Pascolini, Alessandro (INFN, CNAF) ; Spiga, Daniele (INFN, Perugia)
Machine Learning (ML) is driving a revolution in the way scientists design, develop, and deploy data-intensive software. [...]
arXiv:2502.21266.
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2025
Fulltext
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დეტალური ჩანაწერი
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2025-03-20 06:28 |
დეტალური ჩანაწერი
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2025-03-20 04:08 |
დეტალური ჩანაწერი
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2025-03-20 04:07 |
დეტალური ჩანაწერი
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2025-03-19 06:34 |
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Tuning the CMS Coffea-casa facility for 200 Gbps Challenge
/ Albin, Sam (Nebraska U.) ; Attebury, Garhan (Nebraska U.) ; Bloom, Kenneth (Nebraska U.) ; Bockelman, Brian Paul (Morgridge Inst. Res., Madison) ; Lopez, Benjamin Tovar (Nebraska U.) ; Lundstedt, Carl (Nebraska U. ; Notre Dame U.) ; Shadura, Oksana (Nebraska U.) ; Thiltges, John (Nebraska U.) ; Weitzel, Derek (Nebraska U.) ; Wightman, Andrew (Nebraska U.)
As a part of the IRIS-HEP "Analysis Grand Challenge" activities, the Coffea-casa AF team executed a "200 Gbps Challenge". [...]
arXiv:2503.12991.
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2025
Fulltext
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