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CMS Detector Performance Summaries

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უკანასკნელი დამატებები:
2020-09-02
18:09
A novel reconstruction framework for an imaging calorimeter for HL-LHC /CMS Collaboration
To sustain the harsher conditions at high luminosity LHC (HL-LHC), the CMS experiment has designed a high granularity calorimeter (HGCAL) for the endcap regions, that uses silicon sensors to achieve radiation tolerance, with the additional benefit of a very high readout granularity. In regions characterised with lower radiation levels, scintillator tiles with individual SiPM readout are employed. [...]
CMS-DP-2020-027; CERN-CMS-DP-2020-027.- Geneva : CERN, 2020 - 13 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-08-05
23:08
Identification of hadronic tau decay channels using multivariate analysis (MVA decay mode) /CMS Collaboration
A multivariate analysis is trained and developed to identify the hadronic decay channels of the tau lepton. The analysis exploits the features of the hadronic tau decay products, such as kinematic quantities and angular variables. [...]
CMS-DP-2020-041; CERN-CMS-DP-2020-041.- Geneva : CERN, 2020 - 12 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-08-05
23:08
Muon Reconstruction and Identification Performance with Run-2 data /CMS Collaboration
The efficiency of muon reconstruction and identification is presented in proton-proton collisions at $\sqrt{s}=13 $ TeV collected in 2017. The muon scale and resolution are also measured over a wide range of muon transverse momentum from 10 GeV to 1 TeV scale. Lastly, the efficiency of the muon triggers with the full Run-2 data is presented..
CMS-DP-2020-040; CERN-CMS-DP-2020-040.- Geneva : CERN, 2020 - 22 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-08-05
23:08
Additional Run 2 CMS Tracker Alignment Performance Results /CMS Collaboration
In this note several results are provided in the context of the alignment of the silicon tracker of the CMS detector covering the performance of data taking period covering 2016, 2017 and 2018. This includes several quantities as a function of processed luminosity (impact parameter of tracks w.r.t. [...]
CMS-DP-2020-038; CERN-CMS-DP-2020-038.- Geneva : CERN, 2020 - 22 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-07-28
10:16
Performance of the low-pT tau identification algorithm /CMS Collaboration
There is an increasing demand to identify hadronically decaying tau leptons (denoted as $\tau_\text{h}$) below a $p_\text{T}$ of 10 GeV, such as for B-physics analyses and compressed SUSY searches. However, the orthodox $\tau_\text{h}$ identification algorithm is not applicable in the low $p_\text{T}$ regime, because the daughter particles from the $\tau_\text{h}$ decay will be spread over a large $\eta$--$\phi$ region and will not be confined in a single jet anymore from which $\tau_\text{h}$ is reconstructed. [...]
CMS-DP-2020-039; CERN-CMS-DP-2020-039.- Geneva : CERN, 2020 - 10 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-07-26
20:55
Performance of electron and photon reconstruction in Run 2 with the CMS experiment /CMS Collaboration
In this note we present electron and photon performance of the CMS experiment with the inclusive Run 2 data set. We show electron and photon reconstruction and identification results together with timing measurement with the ECAL detector..
CMS-DP-2020-037; CERN-CMS-DP-2020-037.- Geneva : CERN, 2020 - 12 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-07-26
20:55
Machine learning technique for signal-background separation of nuclear interaction vertices in the CMS detector /CMS Collaboration
The CMS inner tracking system is a fully silicon-based high precision detector. Accurate knowledge of the positions of active and inactive elements is important for simulating the detector, planning detector upgrades, and reconstructing charged particle tracks. [...]
CMS-DP-2020-036; CERN-CMS-DP-2020-036.- Geneva : CERN, 2020 - 28 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-07-20
16:38
Muon tracking performance in the CMS Run-2 Legacy data using the tag-and-probe technique /CMS Collaboration
The muon tracking performance has been measured using the tag and probe technique on di-muon resonances $ Z \longrightarrow \mu^{+} \mu^{-} $ for both ``all tracks'' and ``tracker-only seeded tracks'' in Run-2 Legacy data at $ \sqrt{s} $ = 13 TeV, corresponding to an integrated luminosity of 59 fb$ ^{-1}$ (2018), 41 fb$ ^{-1}$ (2017), 20 fb$ ^{-1}$ (2016, old APV settings), 16 fb$ ^{-1}$ (2016, new APV settings)..
CMS-DP-2020-035; CERN-CMS-DP-2020-035.- Geneva : CERN, 2020 - 22 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-07-20
16:38
Redefinition of Electron and Photon identification variables for Run-3 in the CMS Experiment /CMS Collaboration
Run-3 will bring about a harsher environment for electromagnetic object identification, compared to Run-2, leading to a reduction in discrimination power for some of the identification variables. This note summarizes the re-optimization of the variables. As a result, a similar performance and discrimination power as in Run-2 can be retained..
CMS-DP-2020-034; CERN-CMS-DP-2020-034.- Geneva : CERN, 2020 - 13 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2020-07-20
16:38
Estimation of tracker material budget with triplet method /CMS Collaboration
A novel method for measuring in situ the material budget of a silicon tracker is presented. The method relies on using three consecutive hits, or a triplet, along a reconstructed track, measuring the sagitta in this system and extracting the radiation length locally from the scattering angle. [...]
CMS-DP-2020-033; CERN-CMS-DP-2020-033.- Geneva : CERN, 2020 - 15 p. Fulltext: PDF;

დეტალური ჩანაწერი - მსგავსი ჩანაწერები