# CMS Detector Performance Summaries

Ostatnio dodane:
2019-04-02
09:37
 DeepCore: Convolutional Neural Network for high~$p_T$ jet tracking /CMS Collaboration A Convolutional Neural Network-based algorithm, DeepCore, has been developed to improve the tracking performance in the jet cores regions. The DeepCore algorithm performs the seeding for the Combinatorial Kalman Filter of the CMS reconstruction in high energy jet cores using the informations of the four pixel detector layers. [...] CMS-DP-2019-007; CERN-CMS-DP-2019-007.- Geneva : CERN, 2019 - 10 p. Fulltext: PDF;

2019-03-21
13:58
 Phase 1 Pixel Material Budget /CMS Collaboration This note describes the material budget simulation studies relative to the CMS phase 1 pixel detector. The results show the breakdown of the total material budget in different categories (active material, support structure, electronic boards, cables, and cooling) and the comparison with the previous phase 0 pixel detector.. CMS-DP-2019-006; CERN-CMS-DP-2019-006.- Geneva : CERN, 2019 - 5 p. Fulltext: PDF;

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;

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;

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;