# CMS Detector Performance Summaries

Posledne pridané:
2017-09-11
10:52
 Jet$\to$Tau Misidentification Probability with 2016 pp collision data at $\sqrt{s}$=13 TeV /CMS Collaboration The jet to tau misidentification probability for W+Jet events has been summarised in the note. The analysis is performed with the LHC 13 TeV pp collision data collected by the CMS detector in the year 2016.. CMS-DP-2017-036; CERN-CMS-DP-2017-036.- Geneva : CERN, 2017 - 14 p. Fulltext: PDF;

2017-09-01
16:01
 Commissioning studies on the Phase I pixel detector of CMS in early 2017 proton-proton collisions at 13 TeV /CMS Collaboration Algorithms that identify jets originating from heavy (bottom or charmed) hadrons rely heavily on the reconstruction of charged particle tracks inside those jets. Recently the innermost part of the CMS tracking detector, also referred to as the Pixel detector, was extended with a fourth layer which is located closer to the beampipe. [...] CMS-DP-2017-037; CERN-CMS-DP-2017-037.- Geneva : CERN, 2017 - 7 p. Fulltext: PDF;

2017-09-01
16:01
 Event displays with heavy flavour jets from 2016 CMS data /CMS Collaboration A broad range of physics analyses at CMS rely on the efficient identification of heavy flavour jets. Identification of these objects is a challenging task, especially in the presence of a large number of multiple interactions per bunch crossing. [...] CMS-DP-2017-032; CERN-CMS-DP-2017-032.- Geneva : CERN, 2017 - 11 p. Fulltext: PDF;

2017-08-28
14:34
 Noise in Phase 1 HF detector in 2017 /CMS Collaboration In this note we present the distributions of the TDC and the charge asymmetry in Phase 1 HF detector, which are used to reject noise hits.. CMS-DP-2017-034; CERN-CMS-DP-2017-034.- Geneva : CERN, 2017 - 5 p. Fulltext: PDF;

2017-08-28
14:27
 HCAL Calibration Status in Summer 2017 /CMS Collaboration This note presents the status of the HCAL calibration in Summer 2017. In particular, results on the aging of the hadron endcap (HE) detector measured using the laser calibration system and the calibration of the hadron forward (HF) detector using electrons from Z boson decays are discussed.. CMS-DP-2017-033; CERN-CMS-DP-2017-033.- Geneva : CERN, 2017 - 4 p. Fulltext: PDF;

2017-08-08
11:19
 Performance of the Pixel Luminosity Telescope for Luminosity Measurement at CMS during Run 2 /CMS Collaboration The Pixel Luminosity Telescope (PLT) is a dedicated system for luminosity measurement at the CMS experiment using silicon pixel sensors arranged into "telescopes", each consisting of three planes. It was installed during LS1 at the beginning of 2015 and has been providing online and offline luminosity measurements throughout Run 2. [...] CMS-DP-2017-030; CERN-CMS-DP-2017-030.- Geneva : CERN, 2017 - 11 p. Fulltext: PDF;

2017-08-01
16:17
 Heavy Flavour distributions from CMS with 2017 data at $\sqrt{s} = 13$ TeV /CMS Collaboration We report plots on heavy flavour from the first data collected in 2017 by CMS at LHC at $\sqrt{s} = 13$ TeV. Dimuon invariant mass spectra obtained with triggers deployed for heavy flavour analyses, performance plots on quarkonia and b hadrons are included.. CMS-DP-2017-029; CERN-CMS-DP-2017-029.- Geneva : CERN, 2017 - 38 p. Fulltext: PDF;

2017-07-20
14:31
 Missing transverse energy performance in high pileup data collected by CMS in 2016 /CMS Collaboration In this note we summarize the Missing Transverse Energy (ETmiss) performance using the high pile up proton-proton collisions data at 13 TeV recorded by CMS in 2016. Resolution of ETmiss using two different algorithms, Particle Flow and Puppi, are measured in events with an identified Z boson.. CMS-DP-2017-028; CERN-CMS-DP-2017-028.- Geneva : CERN, 2017 - 8 p. Fulltext: PDF;

2017-07-20
14:31
 New Developments for Jet Substructure Reconstruction in CMS /CMS Collaboration We present Monte Carlo based studies showcasing several developments for jet substructure reconstruction in CMS. This include Quark/Gluon tagging algorithms using Boosted Decision Trees and Deep Neural Networks, the XCone jet clustering algorithm and the Boosted Event Shape Tagger (BEST).. CMS-DP-2017-027; CERN-CMS-DP-2017-027.- Geneva : CERN, 2017 - 34 p. Fulltext: PDF;

2017-07-20
14:30
 W and top tagging scale factors /CMS Collaboration This note presents an improved determination of the efficiency and data/MC scale factors for the identification of hadronically decaying top quarks using the full 2016 CMS dataset. Also shown is an improved measurement of the W boson tagging performance using the full 2016 CMS dataset. [...] CMS-DP-2017-026; CERN-CMS-DP-2017-026.- Geneva : CERN, 2017 - 25 p. Fulltext: PDF;