CERN Accelerating science

CERN Preprints

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2026-01-29
22:26
Measurement of the $ \Upsilon{\textrm{(1S)}} $, $ \Upsilon{\textrm{(2S)}} $, and $ \Upsilon{\textrm{(3S)}} $ differential cross sections in pp collisions at $ \sqrt{s} = $ 13.6 TeV
The production cross sections of the $ \Upsilon{\textrm{(1S)}} $, $ \Upsilon{\textrm{(2S)}} $, and $ \Upsilon{\textrm{(3S)}} $ mesons are measured in proton-proton collisions at $ \sqrt{s}= $ 13.6 TeV, using a data sample collected in 2022 by the CMS experiment and corresponding to an integrated luminosity of 37.4 fb$ ^{-1} $. [...]
CERN-EP-2026-004 ; CMS-BPH-24-004-003.
- 2026
Additional information for the analysis - CMS AuthorList - Fulltext - CMS HEPData

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2026-01-29
22:09
Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}\tau^+\tau^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV
A search is presented for massive narrow-width resonances in the mass range of 1$-$4.5 TeV, decaying into pairs of Higgs bosons (HH). [...]
CERN-EP-2025-299 ; CMS-B2G-24-014-003.
- 2026
Additional information for the analysis - CMS AuthorList - Fulltext

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2026-01-29
21:37
Search for heavy long-lived charged particles with level-1 trigger scouting data from proton-proton collisions at $ \sqrt{s} = $ 13.6 TeV
A search for heavy long-lived charged particles at the LHC is presented. [...]
CERN-EP-2025-301 ; CMS-EXO-25-010-003.
- 2026
Additional information for the analysis - CMS AuthorList - Fulltext

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2026-01-29
17:31
Search for the $\tau^-\to \mu^- \mu^+\mu^-$ decays at LHCb Experiment with Run2 data
A search for the lepton-flavour-violating decay $\tau^-\to\mu^-\mu^+\mu^-$ is carried out using data collected by the LHCb experiment between 2016 and 2018 in proton-proton collisions at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 5.4 fb$^{-1}$. [...]
CERN-EP-2026-003 ; arXiv:2601.20785 ; LHCB-PAPER-2025-052.
- 2026
Fulltext - Related data file(s) - Full text

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2026-01-29
14:05
Observation of the decay $\chi_{c1}(3872) \to J/\psi \mu^+ \mu^-$
The first observation of the $\chi_{c1}(3872)\rightarrow J\mskip -3mu/\mskip -2mu\psi \mu^+\mu^-$ decay is reported using proton-proton collision data recorded with the LHCb detector corresponding to an integrated luminosity of $9fb^{-1}$. [...]
CERN-EP-2025-271 ; arXiv:2601.20790 ; LHCB-PAPER-2025-043.
- 2026
Fulltext - Related data file(s)

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2026-01-29
07:14
A Short Introduction to Metal Forming / Moussa, Charbel (Paris, Ecole des Mines) ; Montmitonnet, Pierre (Paris, Ecole des Mines)
The present paper is a short introduction to metal forming. [...]
arXiv:2511.17222.
- 2025 - 26.
Fulltext

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2026-01-29
07:14
Non Destructive Testing / Izquierdo, Gonzalo Arnau (CERN)
The contribution introduces the principles, methods, and applications of non-destructive testing in the context of particle accelerators and related technologies is presented. [...]
arXiv:2601.05880.
- 2026 - 12.
Fulltext

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2026-01-29
07:14
Learning Resilient Elections with Adversarial GNNs / Li, Hao Xiang (Cambridge U. (main)) ; Shah, Yash (Cambridge U. (main)) ; Giusti, Lorenzo (CERN)
In the face of adverse motives, it is indispensable to achieve a consensus. [...]
arXiv:2601.01653.
- 2026 - 25.
Fulltext

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2026-01-29
07:14
Computational optimisation of slow cooling profiles for the cryopreservation of cells in suspension / Jennings, Jack Lee (Newcastle U., United Kingdom) ; Bojic, Sanja (SLAC) ; Breitwieser, Lukas (CERN ; ETH, Zurich (main)) ; Sharpe, Alex (Newcastle U., United Kingdom) ; Bauer, Roman (U. Surrey (main))
The cryopreservation of biological materials is a highly complex process, as it involves numerous factors such as the cooling and thawing procedures, the administration of cryoprotective agents (CPAs), as well as the type and composition of cells. [...]
arXiv:2512.20805.
- 2025 - 24.
Fulltext

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2026-01-29
07:14
AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines / Danopoulos, Dimitrios (CERN) ; Lupi, Enrico (CERN) ; Sun, Chang (CERN) ; Dittmeier, Sebastian (U. Heidelberg (main)) ; Kagan, Michael (SLAC) ; Loncar, Vladimir (Belgrade, Inst. Phys.) ; Pierini, Maurizio (CERN)
Efficient AI inference on AMD's Versal AI Engine (AIE) is challenging due to tightly coupled VLIW execution, explicit datapaths, and local memory management. [...]
arXiv:2512.15946.
- 2025 - 9.
Fulltext

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