# CMS Detector Performance Summaries

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;

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;

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;

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;

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;

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;

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;

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;

2018-10-22
11:12
 Early 2018 High-Level Trigger rates /CMS Collaboration This note presents early 2018 CMS High-Level Trigger (HLT) rate results. The rates consumed by each CMS physics group are reported.. CMS-DP-2018-057; CERN-CMS-DP-2018-057.- Geneva : CERN, 2018 - 7 p. Fulltext: PDF;

2018-10-22
11:12
 Efficiency of Si-strips sensors used in Precision Proton Spectrometer /CMS and TOTEM Collaborations The Precision Proton Spectrometer (PPS) is a forward-proton spectrometer using near-beam detectors (Roman Pots, RPs) located symmetrically on both sides of IP5 at a distance of about 220 m. At The early stage of the project, the tracking RPs were equipped with Si-strip sensors used in the TOTEM experiment. [...] CMS-DP-2018-056; CERN-CMS-DP-2018-056.- Geneva : CERN, 2018 - 12 p. Fulltext: PDF;