2025-04-25
10:05 |
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11:01 |
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2025-04-22
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2025-04-15
12:53 |
CMS Inner Tracker Upgrade for the HL-LHC Design, Development, and Production Status
/ Kuo, Chin-chia (Hamburg U.)
/CMS Collaboration
The High Luminosity Large Hadron Collider operation will push the CMS experiment to its limits, with an instantaneous peak luminosity of 7.5×1034cm−2s−1 and an integrated luminosity of 300fb−1 per year. This environment will expose the CMS Inner Tracker (IT) pixel detector at the center of CMS to unprecedented levels of radiation, with a 1 MeV neutron equivalent fluence of Φeq=2.6×1016cm−2 and a total ionizing dose of 13MGy after 3000fb−1 of integrated luminosity. [...]
CMS-CR-2025-084.-
Geneva : CERN, 2025 - 5 p.
Fulltext: PDF;
In : 17th Vienna Conference on Instrumentation (VCI2025), Vienna, Austria, 17 - 21 Feb 2025
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2025-04-15
10:00 |
CMS FlashSim end-to-end simulation with ML
/ Rizzi, Andrea (INFN, Pisa ; Pisa U.)
/CMS Collaboration
Detailed event simulation at the LHC is taking a large fraction of computing budget.CMS developed an end-to-end ML based simulation that can speed up the time for production of analysis samples of several orders of magnitude with a limited loss of accuracy. As the CMS experiment is adopting a common analysis level format, the NANOAOD, for a larger number of analyses, such an event representation is used as the target of this ultra fast simulation that we call FlashSim. [...]
CMS-CR-2025-027.-
Geneva : CERN, 2025 - 13 p.
Fulltext: PDF;
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Poland, 19 - 25 Oct 2024
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2025-04-13
14:09 |
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Observation of coherent ϕ(1020) meson photoproduction in ultraperipheral PbPb collisions at √sNN= 5.36 TeV
/ CMS Collaboration
The first observation of coherent ϕ(1020) meson photoproduction off heavy nuclei is presented using ultraperipheral lead-lead collisions at a center-of-mass energy per nucleon pair of 5.36 TeV. [...]
CERN-EP-2025-051 ; arXiv:2504.05193 ; CMS-HIN-24-009-003.
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2025
Additional information for the analysis - CMS AuthorList - Fulltext - 00001 Examples of the invariant mass (\mKK) distribution in the coherent process dominant transverse momentum region of pair \pt<0.2\GeV (left) and the pair \pt distribution in the \PGf meson mass window 0.99<\mKK<1.05\GeV (right). The results of the template fit, as described in the text, are represented by various curves. These include the coherent (\text{Coh.}) \PGf, incoherent (\text{Incoh.}) \PGf for both elastic (el.) and dissociative (dis.) processes, and the direct \KK continuum (cont.). The fitted numbers of raw \PGf meson candidates and the \KK continuum are indicated in the legend of the left panel. The vertical bars on the data points represent statistical uncertainties (σData). The bottom panels show the pull distribution of the fit, defined as Pull=(Data-Fit)/σData, with the red lines indicating the zero value. - 00000 Examples of the invariant mass (\mKK) distribution in the coherent process dominant transverse momentum region of pair \pt<0.2\GeV (left) and the pair \pt distribution in the \PGf meson mass window 0.99<\mKK<1.05\GeV (right). The results of the template fit, as described in the text, are represented by various curves. These include the coherent (\text{Coh.}) \PGf, incoherent (\text{Incoh.}) \PGf for both elastic (el.) and dissociative (dis.) processes, and the direct \KK continuum (cont.). The fitted numbers of raw \PGf meson candidates and the \KK continuum are indicated in the legend of the left panel. The vertical bars on the data points represent statistical uncertainties (σData). The bottom panels show the pull distribution of the fit, defined as Pull=(Data-Fit)/σData, with the red lines indicating the zero value. - 00002 The coherent \PGf meson photoproduction differential cross section as a function of the \PGf meson rapidity in the range 0.3<\absy<1.0 is shown in the upper panel. Vertical bars and shaded bands around data points indicate the statistical and systematic uncertainties, respectively. The theoretical predictions, including the impulse approximation (IA)~\cite{Klein:2016yzr}, the color dipole model based approaches of IIM~\cite{Iancu:2003ge}, bCGC~\cite{Kowalski:2006hc}, IP-SAT~\cite{Bartels:2002cj,Rezaeian:2012ji}, GBW and GBW fc~\cite{Golec-Biernat:1998zce, Goncalves:2020cir}, the reggeometric pomeron (RP) approach using the classical Glauber (CG) and Gribov--Glauber (GG) formalisms~\cite{Jenkovszky:2022qnc, Jenkovszky:2023jrh}, the modified vector meson dominance (mVMD) model incorporating GG formalism with strong shadowing (SS) and weak shadowing (WS) scenarios~\cite{Guzey:2016piu}, the \STARlight model incorporating the VMD with CG formalism~\cite{Klein:2016yzr}, are represented by the colored lines. The ratio between data and IA prediction is shown in the bottom panel.
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2025-04-13
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