2020-03-18
10:31 |
CMS Tracker Performance results for full Run 2 Legacy reprocessing
/CMS Collaboration
During the LHC Long Shutdown 2, the CMS experiment started a collaboration-wide effort to re-calibrate the data and optimize the simulation, reconstruction and analysis software in order to reprocess the data collected during LHC Run 2 with uniform software and detector calibrations (Legacy processing). \\
This note collects performance results of the tracker detector alignment obtained using the updated Legacy software and calibration for the data collected by CMS during the three years period 2016, 2017 and 2018, and corresponding to an integrated luminosity of about 140/fb. [...]
CMS-DP-2020-012; CERN-CMS-DP-2020-012.-
Geneva : CERN, 2020 - 26 p.
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2020-03-11
16:58 |
Muon Tracking Efficiency for 2018 dataset using Tag and Probe method
/CMS Collaboration
The muon tracking efficiency has been measured using the tag and probe technique on di-muon resonances $ Z \longrightarrow \mu^{+} \mu^{-} $ and $ J/\psi \longrightarrow \mu^{+} \mu^{-} $ for both ``all tracks" and ``tracker-only seeded tracks" for 2018 dataset with an integrated luminosity 59 fb$ ^{-1}$..
CMS-DP-2020-013; CERN-CMS-DP-2020-013.-
Geneva : CERN, 2019 - 11 p.
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2020-02-18
12:44 |
Background measurements in the CMS DT chambers during LHC Run 2
/CMS Collaboration
Characterizing background helps to understand its trend and sources, and to devise mitigation measures to prevent detector ageing, especially in view of luminosity increase.
During LHC Run2, the background in the CMS Drift Tubes (DT) was monitored both by means of online anode current measurements and offline analysis. Results are shown in terms of trends vs LHC instantaneous luminosity and of spatial distributions..
CMS-DP-2020-011; CERN-CMS-DP-2020-011.-
Geneva : CERN, 2020 - 9 p.
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2020-02-18
12:43 |
Monitoring and Modelling of the Radiation Damage of the CMS Phase-1 Pixel Detector in the Barrel Region
/CMS Collaboration
This Detector Performance Summary shows the comparison between measurement and modellation of the development of sensor leakage currents as well as the depletion voltages for all the layers in the CMS Phase-1 Pixel detector in the barrel region after the end of LHC Run-2. In addition to that, a first rough measurement of the z dependence of the sensor leakage currents is presented, which was taken after the end of LHC Run-2..
CMS-DP-2020-010; CERN-CMS-DP-2020-010.-
Geneva : CERN, 2020 - 14 p.
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2020-02-18
12:42 |
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2020-02-18
12:42 |
Performance of a Soft Muon, Hard Jet and Moderate Missing Energy Trigger in 2018 Data
/CMS Collaboration
This note presents the performance of a dedicated High-Level Trigger (HLT) algorithm that requires a low transverse momentum $p_{\mathrm{T}}$ muon, a jet with transverse momentum $p_{\mathrm{T}}$ greater than 100 GeV and missing transverse momentum $p_{\mathrm{T}}^{\mathrm{miss}}$ greater than 80 GeV. The trigger algorithm targets events with ISR signatures with moderate $p_{\mathrm{T}}^{\mathrm{miss}}$ and soft muons, that are typical in SUSY models with very compressed mass spectra. [...]
CMS-DP-2020-004; CERN-CMS-DP-2020-004.-
Geneva : CERN, 2020 - 11 p.
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2020-02-18
12:41 |
Effects of the electronic threshold on the performance of the RPC system of the CMS experiment
/CMS Collaboration
Resistive Plate Chambers (RPCs in the following) play a very important role as the dedicated system for muon triggering both in the barrel and in the endcap of the CMS experiment at the Large Hadron Collider. It is therefore of primary importance to tune the operating voltage and the electronic threshold of the front-end boards reading the signals from these detectors in order to optimize the RPC system performance. [...]
CMS-DP-2020-003; CERN-CMS-DP-2020-003.-
Geneva : CERN, 2020 - 11 p.
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2020-02-04
15:11 |
B-Jet Trigger Performance in Run 2
/CMS Collaboration
This study shows the performance of the online b-tagging run in 2017 (CSV) and 2018 (DeepCSV)..
CMS-DP-2019-042; CERN-CMS-DP-2019-042.-
Geneva : CERN, 2019 - 23 p.
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2020-01-30
10:19 |
Identification of highly Lorentz-boosted heavy particles using graph neural networks and new mass decorrelation techniques
/CMS Collaboration
This note presents several new developments on machine learning (ML)-based identification of highly Lorentz-boosted heavy particles using jet substructure in CMS and their performance with the CMS Phase 1 detector. A new algorithm based on ParticleNet, a graph neural network using an unordered set of jet constituent particles as the input, has been developed and shows significantly improved performance. [...]
CMS-DP-2020-002; CERN-CMS-DP-2020-002.-
Geneva : CERN, 2020 - 13 p.
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2019-12-16
15:15 |
Recording and reconstructing 10 billion unbiased b hadron decays in CMS
/CMS Collaboration
The CMS experiment has recorded a sample of 10 billion events containing the unbiased decays of b hadrons. The accumulation, processing, and validation of this data set were delivered without significant impact on the core physics programme of CMS. [...]
CMS-DP-2019-043; CERN-CMS-DP-2019-043.-
Geneva : CERN, 2019 - 18 p.
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