CERN Accelerating science

CERN Preprints

უკანასკნელი დამატებები:
2025-03-21
15:40
Searches for direct slepton production in the compressed-mass corridor in $\sqrt{s}=13$ TeV $pp$ collisions with the ATLAS detector
This paper presents searches for the direct pair production of charged light-flavour sleptons, each decaying into a stable neutralino and an associated Standard Model lepton. [...]
CERN-EP-2025-039.
- 2025
Fulltext - Previous draft version

დეტალური ჩანაწერი
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

დეტალური ჩანაწერი
2025-03-21
07:49
Search for heavy neutral leptons in decays of W bosons using leptonic and semi-leptonic displaced vertices in $\sqrt{s} = 13$ TeV $pp$ collisions with the ATLAS detector
A search is performed for long-lived heavy neutral leptons (HNLs), produced through the decay of a $W$ boson along with a muon or electron. [...]
CERN-EP-2025-052.
- 2025
Fulltext - Previous draft version

დეტალური ჩანაწერი
2025-03-21
04:08
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.
- 24.
Fulltext

დეტალური ჩანაწერი
2025-03-20
23:41
Search for vector-like leptons with long-lived particle decays in the CMS muon system in proton-proton collisions at $ \sqrt{s} = $ 13 TeV
A first search is presented for vector-like leptons (VLLs) decaying into a light long-lived pseudoscalar boson and a standard model $ \tau $ lepton. [...]
CERN-EP-2025-021 ; CMS-EXO-23-015-003.
- 2025
Additional information for the analysis - CMS AuthorList - Fulltext

დეტალური ჩანაწერი
2025-03-20
06:28
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.
- 2025
Fulltext

დეტალური ჩანაწერი
2025-03-20
06:28
Enhancing software-hardware co-design for HEP by low-overhead profiling of single- and multi-threaded programs on diverse architectures with Adaptyst / Graczyk, Maksymilian (CERN) ; Roiser, Stefan (CERN)
Given the recent technological trends and novel computing paradigms spanning both software and hardware, physicists and software developers can no longer just rely on computers becoming faster to meet the ever-increasing computing demands of their research. [...]
arXiv:2502.20947.
- 2025 - 8.
Fulltext

დეტალური ჩანაწერი
2025-03-20
04:08
Coaching station for FIT on-call shifters / Roslon, Krystian
We present an efficient and cost-effective way to train operators of complex systems with limited accessibility, such as sub-detectors of big experiments at the CERN Large Hadron Collider (LHC). [...]
arXiv:2503.14196.
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Fulltext

დეტალური ჩანაწერი
2025-03-20
04:07
Finite-temperature bubble nucleation with shifting scale hierarchies / Kierkla, Maciej (Warsaw U.) ; Schicho, Philipp (Geneva U.) ; Swiezewska, Bogumila ; Tenkanen, Tuomas V.I. (Helsinki Inst. of Phys.) ; van de Vis, Jorinde (CERN)
Focusing on supercooled phase transitions in models with classical scale symmetry, we formulate a state-of-the art framework for computing the bubble-nucleation rate, accounting for the presence of various energy scales. [...]
CERN-TH-2025-046 ; HIP-2024-27/TH ; arXiv:2503.13597.
- 56.
Fulltext

დეტალური ჩანაწერი
2025-03-19
06:34
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.
- 2025
Fulltext

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