2024-07-02 18:09 |
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2024-07-01 15:49 |
First results on the final readout chip for the High-Luminosity LHC upgrade of the CMS Inner Tracker
/ Grippo, Michael (INFN, Turin ; Turin U.) ; Bartosik, Nazar (INFN, Turin) ; Demaria, Natale (INFN, Turin) ; Luongo, Fabio (INFN, Turin ; Turin U.)
The CMS Readout Chip (CROC) is a 65 nm CMOS hybrid pixel readout chip for the High-Luminosity LHC upgrade of the CMS Inner Tracker. The chip has been developed by the CERN RD53 Collaboration in order to withstand radiation doses up 10 MGy and hit rates up to 3 GHz cm$^{-2}$ at pileup 200 on the innermost tracking layer. [...]
CMS-CR-2024-114.-
Geneva : CERN, 2024 - 3 p.
Fulltext: PDF;
In : 16th Pisa Meeting on Advanced Detectors, La Biodola, Isola D'elba, It, 26 May - 1 Jun 2024
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2024-07-01 15:49 |
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2024-07-01 15:49 |
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2024-06-24 12:27 |
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2024-06-24 12:27 |
Di-Higgs searches at CMS
/ Fontana Santos Alves, Bruno Afonso (Ecole Polytechnique)
/CMS Collaboration
The production of Higgs boson pairs (HH) at the LHC is the main handle for the measurement of the Higgs boson interaction with itself and is thus a fundamental test of the Standard Model theory as well as for determining the Higgs potential. The most recent results from the CMS Collaboration on measurements of nonresonant HH production using different final states, and their combination using the data set collected by the CMS experiment at a centre of mass energy of 13 TeV, will be presented..
CMS-CR-2024-102.-
Geneva : CERN, 2024 - 7 p.
Fulltext: PDF;
In : 31st International Workshop on Deep Inelastic Scattering, Grenoble, Fr, 8 - 12 Apr 2024
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2024-06-24 12:27 |
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2024-06-24 12:27 |
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2024-06-24 12:27 |
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2024-06-18 10:31 |
Heavy-flavour tagging at the CMS experiment
/ Zaza, Angela (INFN, Bari ; Bari U.)
/CMS Collaboration
At the CMS experiment, the identification of heavy-flavour jets, i.e., jets originating from bottom and charm quarks, is crucial for many standard model (SM) measurements, mostly involving the top quark and the Higgs boson, and searches for new physics. The CMS Collaboration developed extremely powerful jet tagging algorithms based on state-of-the-art deep learning methods, which will be illustrated in this contribution. [...]
CMS-CR-2024-098.-
Geneva : CERN, 2024 - 11 p.
Fulltext: PDF;
In : International Conference for New Frontiers in Physics 2023, Kollymbari, Crete, Gr, 10 - 22 Jul 2023
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