CERN Accelerating science

CMS Detector Performance Summaries

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2019-03-20
14:36
Medipix3RX based network of detectors for ambient radiation measurements in the CMS cavern /CMS Collaboration
Precise measurements of the spectral composition of the radiation present in and around the Compact Muon Solenoid (CMS) cavern located on the LHC experiment are essential to determine the operation of the sub-detector systems and to predict their useful lifetimes. The key objective of the CMS-Medipix network is to evaluate this mixed radiation field - especially of the slow and fast neutrons. [...]
CMS-DP-2019-002; CERN-CMS-DP-2019-002.- Geneva : CERN, 2019 - 8 p. Fulltext: PDF;

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2019-03-20
08:59
CMS ECAL Response to Laser Light /CMS Collaboration
CMS ECAL response to laser light
CMS-DP-2019-005; CERN-CMS-DP-2019-005.- Geneva : CERN, 2019 - 4 p. Fulltext: PDF;

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2019-03-12
14:51
Muon Tracking Efficiency using Tag and Probe method for 2017 dataset /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 2017 re-Reco dataset with an integrated luminosity $41 fb ^{-1}$..
CMS-DP-2019-004; CERN-CMS-DP-2019-004.- Geneva : CERN, 2019 - 9 p. Fulltext: PDF;

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2019-03-12
14:51
Adversarial Neural Network-based data-simulation corrections for heavy-flavour jet-tagging /CMS Collaboration
Variable-dependent scale factors are used in heavy-flavour jet-tagging to improve shape agreement of data and simulation. The choice of the underlying model is of great importance, but often requires a lot of manual tuning e.g. [...]
CMS-DP-2019-003; CERN-CMS-DP-2019-003.- Geneva : CERN, 2019 - 6 p. Fulltext: PDF;

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2019-02-26
17:02
Precision measurement of the structure of the CMS inner tracking system using nuclear interactions with data collected in 2018 /CMS Collaboration
The structure of the CMS inner tracking system has been studied using nuclear interactions of hadrons striking its material. Data from proton-proton collisions at a center-of-mass energy of 13 TeV recorded in 2018 at the LHC are used to reconstruct millions of secondary vertices from these nuclear interactions [...]
CMS-DP-2019-001; CERN-CMS-DP-2019-001.- Geneva : CERN, 2019 - 19 p. Fulltext: PDF;

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2019-01-08
10:11
BCM1F and Luminosity calibration /CMS Collaboration
The Fast Beam Condition Monitor (BCM1F) provides a real time bunch-by-bunch luminosity measurement. The stability of the calibration and the linearity of the system is monitored with regular emittance scans. [...]
CMS-DP-2018-062; CERN-CMS-DP-2018-062.- Geneva : CERN, 2018 - 7 p. Fulltext: PDF;

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2018-12-12
09:57
CMS Tracker Alignment Performance Results 2018 /CMS Collaboration
The tracking system of the CMS detector provides excellent resolution for charged particle tracks and an efficient way of tagging jets. In order to reconstruct good quality tracks, the position and orientation of each silicon pixel and strip module needs to be determined with a precision of several micrometers. In this note the performance of the alignment of the CMS tracker with data taken during 2018 is presented. [...]
CMS-DP-2018-061; CERN-CMS-DP-2018-061.- Geneva : CERN, 2018 - 18 p. Fulltext: PDF;

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2018-11-26
11:16
Physics performance figures from PbPb 2018 run /CMS Collaboration
Physics performance figures from PbPb 2018 run..
CMS-DP-2018-060; CERN-CMS-DP-2018-060.- Geneva : CERN, 2018 - 7 p. Fulltext: PDF;

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2018-11-13
10:52
Patatrack Heterogeneous Computing 2018 Demonstrator: Pixel Tracks /CMS Collaboration
The Patatrack Team, during 2018, explored heterogeneous solutions within CMS using GPUs and CMSSW. In this Note we report on the progress made on porting the full workflow of Pixel Track reconstruction at HLT on GPUs. [...]
CMS-DP-2018-059; CERN-CMS-DP-2018-059.- Geneva : CERN, 2018 - 14 p. Fulltext: PDF;

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2018-11-13
10:52
Performance of the DeepJet b tagging algorithm using 41.9/fb of data from proton-proton collisions at 13TeV with Phase 1 CMS detector /CMS Collaboration
The identification of jets originating from b quarks (b jets) is of great importance to many physics analyses. Multivariate analysis techniques have been traditionally used in flavour tagging algorithms, however there has been a recent step change towards using deep learning algorithms due to their suitability to complex multi-classification problems. [...]
CMS-DP-2018-058; CERN-CMS-DP-2018-058.- Geneva : CERN, 2018 - 15 p. Fulltext: PDF;

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