2023-10-02
14:14 |
Central exclusive production in CMS+TOTEM
/ Sikler, Ferenc (Budapest, RMKI)
/CMS and TOTEM Collaborations
The central exclusive production of charged hadron pairs in pp collisions at a centre-of-mass energy of 13 TeV is examined, based on data collected in a special high-$\beta^*$ run of the LHC. Events are selected by requiring both scattered protons detected in the TOTEM Roman pots, exactly two oppositely charged identified particles in the CMS silicon tracker, and the energy-momentum balance of these four particles. [...]
CMS-CR-2023-160.-
Geneva : CERN, 2023 - 7 p.
Fulltext: PDF;
In : 2023 European Physical Society Conference on High Energy Physics (EPS-HEP2023), Hamburg, Germany, 20 - 25 Aug 2023
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2023-10-02
12:30 |
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2023-10-02
11:46 |
Vector boson production in CMS
/ Tarricone, Cristiano (INFN, Turin ; Turin U.)
/CMS Collaboration
This talk reviews recent measurements of single boson and multiboson production, including vector boson scattering processes, using CMS data. Inclusive and differential cross sections are measured using several kinematic observables, and constraints are placed on possible BSM contributions via the use of effective field theory techniques..
CMS-CR-2023-176.-
Geneva : CERN, 2023 - 6 p.
Fulltext: PDF;
In : 34th Rencontres de Blois: "Particle Physics and Cosmology", Blois, Fr, 14 - 19 May 2023
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2023-10-02
11:46 |
Toward Ten-Minute Turnaround in CMS Data Analysis The View from Notre Dame
/ Lawrence, John (Notre Dame U.)
/CMS Collaboration
Effective analysis computing requires rapid turnaround times in order to enable frequent iteration, adjustment, and exploration, leading to discovery. An informal goal of reducing 10TB of experimental data in about ten minutes using campus-scale computing infrastructure is an achievable goal, just considering raw hardware capability. [...]
CMS-CR-2023-167.-
Geneva : CERN, 2023 - 6 p.
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
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2023-10-02
11:46 |
Rare decays at CMS
/ Guzzi, Luca (INFN, Milan Bicocca)
/CMS Collaboration
The latest CMS results on the search for the neutrino-less $\tau^{\pm}\to\mu^{\pm}\mu^{\pm}\mu^{\mp}$ decay, the first observation of the $\eta\to\mu^+\mu^-\mu^+\mu^-$ decay, the measurement of the $B^0_s\to\mu^+\mu^-$ branching fraction, the measurement of the $B^0_s$ lifetime, the search for the $B^0\to\mu^+\mu^-$ decay, and the measurement of the angular observables of the $B^0\to K^{*0}\mu^+\mu^-$ decay are presented. The results are based on data collected in proton-proton collisions at the centre of mass energy of 8 TeV and 13 TeV..
CMS-CR-2023-097.-
Geneva : CERN, 2023 - 12 p.
Fulltext: PDF;
In : 21st Conference on Flavor Physics and CP Violation (FPCP 2023), Villeurbanne, France, 29 May - 2 Jun 2023
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2023-09-26
14:26 |
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2023-09-25
17:59 |
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2023-09-25
17:59 |
The integration of heterogeneous resources in the CMS Submission Infrastructure for the LHC Run 3 and beyond
/ Perez-Calero Yzquierdo, Antonio Maria (Madrid, CIEMAT) ; Mascheroni, Marco (UC, San Diego) ; Kizinevic, Edita (CERN) ; Khan, Farrukh Aftab (Fermilab) ; Kim, Hyunwoo (Fermilab) ; Acosta Flechas, Maria (Fermilab) ; Tsipinakis, Nikos (CERN) ; Haleem, Saqib (Quaid-i-Azam U.)
/CMS Collaboration
While the computing landscape supporting LHC experiments is currently dominated by x86 processors at WLCG sites, this configuration will evolve in the coming years. LHC collaborations will be increasingly employing HPC and Cloud facilities to process the vast amounts of data expected during the LHC Run 3 and the future HL-LHC phase. [...]
CMS-CR-2023-169.-
Geneva : CERN, 2023 - 9 p.
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
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2023-09-25
17:59 |
HPC resources for CMS offline computing: an integration and scalability challenge for the Submission Infrastructure
/ Perez-Calero Yzquierdo, Antonio Maria (Madrid, CIEMAT) ; Mascheroni, Marco (UC, San Diego) ; Kizinevic, Edita (CERN) ; Khan, Farrukh Aftab (Fermilab) ; Kim, Hyunwoo (Fermilab) ; Acosta Flechas, Maria (Fermilab) ; Tsipinakis, Nikos (CERN) ; Haleem, Saqib (Quaid-i-Azam U.)
/CMS Collaboration
The computing resource needs of LHC experiments are expected to continue growing significantly during the Run 3 and into the HL-LHC era. The landscape of available resources will also evolve, as HPC and Cloud resources will provide a comparable, or even dominant, fraction of the total compute capacity. [...]
CMS-CR-2023-168.-
Geneva : CERN, 2023 - 9 p.
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
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2023-09-25
17:59 |
A method for inferring signal strength modifiers by conditional invertible neural networks
/ Farkas, Mate Zoltan (Aachen, Tech. Hochsch.) ; Diekmann, Svenja (Aachen, Tech. Hochsch.) ; Eich, Niclas Steve (Aachen, Tech. Hochsch.) ; Erdmann, Martin (Aachen, Tech. Hochsch.)
/CMS Collaboration
The continuous growth in model complexity in high-energy physics (HEP) collider experiments demands increasingly time-consuming model fits. We show first results on the application of conditional invertible networks (cINNs) to this challenge. [...]
CMS-CR-2023-162.-
Geneva : CERN, 2023 - 8 p.
Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
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