# CMS Detector Performance Summaries

Последно добавени:
2017-01-16
13:27
 Event displays at 13 TeV of 2016 data /CMS Collaboration This performance note presents some illustrative event displays at a center-of-mass energy of 13 TeV. The data set consists of the proton-proton collision data recorded by the CMS detector in 2016 with a magnetic field of 3.8 Tesla.. CMS-DP-2017-001; CERN-CMS-DP-2017-001.- Geneva : CERN, 2017 - 12 p. Fulltext: PDF;

2016-12-16
17:08
 Performance of the CMS TwinMux Algorithm in late 2016 pp collision runs /CMS Collaboration The performance of the DT-RPC trigger primitive combination algorithm implemented in the TwinMux system of the CMS barrel muon trigger was evaluated with pp collision data.. CMS-DP-2016-074; CERN-CMS-DP-2016-074.- Geneva : CERN, 2016 - 8 p. Fulltext: PDF;

2016-12-16
17:08
 Measurement of the structure of the inner tracking detector of the CMS experiment using nuclear interactions with data collected in 2015 /CMS Collaboration The material in the tracker system has been studied using nuclear interactions caused by particles traversing the detector material. The data was recorded in proton-proton collisions at 13 TeV by the CMS experiment at the LHC. [...] CMS-DP-2016-073; CERN-CMS-DP-2016-073.- Geneva : CERN, 2016 - 21 p. Fulltext: PDF;

2016-11-28
14:17
 Performance figures for pA 2016 data /CMS Collaboration Performance figures from the p+Pb 2016 run. Dimuon (2-200GeV), Z($\mu\mu$) and Z(ee), D meson and B mesons invariant mass distributions.. CMS-DP-2016-072; CERN-CMS-DP-2016-072.- Geneva : CERN, 2016 - 7 p. Fulltext: PDF;

2016-11-28
14:17
 HCAL Energy Reconstruction Performance /CMS Collaboration HCAL Energy Reconstruction Performance with Run 2 Pileup Mitigation CMS-DP-2016-071; CERN-CMS-DP-2016-071.- Geneva : CERN, 2016 - 4 p. Fulltext: PDF;

2016-11-21
09:10
 Performance of quark/gluon discrimination in 13 TeV data /CMS Collaboration The 2015 proton collision data at 13 TeV and corresponding simulated samples are used to produce an updated quark/gluon jet discriminator and to validate its performances making use of dimuon plus jet and dijet selected events. The three input discriminating jet observables are the same as those used for the latest validated Run 1 discriminator, as well as the likelihood method to combine them. [...] CMS-DP-2016-070; CERN-CMS-DP-2016-070.- Geneva : CERN, 2016 - 12 p. Fulltext: PDF;

2016-11-16
11:08
 RPC Overall Efficiency Measurement from Tracker Muons /CMS Collaboration From the Run-II, the RPCMuon reconstruction algorithm is included in the standard reconstruction, where the algorithm starts from the inner track and finds matched RPC hits(RPCRecHits) along its trajectory. The track extrapolation is done in this step and the results of extrapolation are stored in the muon objects. [...] CMS-DP-2016-069; CERN-CMS-DP-2016-069.- Geneva : CERN, 2016 - 5 p. Fulltext: PDF;

2016-11-03
16:13
 Data/MC Comparison for ECAL and HCAL /CMS Collaboration CMS has tuned its simulation program and chosen a specific physics model of Geant4 by comparing the simulation results with dedicated test beam experiments. CMS continues to validate the physics models inside Geant4 using the test beam data as well as collision data. [...] CMS-DP-2016-068; CERN-CMS-DP-2016-068.- Geneva : CERN, 2016 - 25 p. Fulltext: PDF;

2016-11-03
16:13
 Performance of muon reconstruction including Alignment Position Errors for 2016 Collision Data /CMS Collaboration From 2016 Run muon reconstruction is using non-zero Alignment Position Errors to account for the residual uncertainties of muon chambers' positions. Significant improvements are obtained in particular for the startup phase after opening/closing the muon detector. [...] CMS-DP-2016-067; CERN-CMS-DP-2016-067.- Geneva : CERN, 2016 - 18 p. Fulltext: PDF;

2016-11-01
17:22
 Expected tau identification performance in LHC run-2 at $\sqrt{s}$ = 13 TeV /CMS Collaboration This document provides the expected performance of the run-2 tau identification algorithm using an inclusive definition of $\tau_{h}$ reconstruction and identification efficiency and jet $\rightarrow$ $\tau_{h}$ mis-identification probability. The materials presented in this article are useful for phenomenological studies.. CMS-DP-2016-066; CERN-CMS-DP-2016-066.- Geneva : CERN, 2016 - 7 p. Fulltext: PDF;