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CMS Detector Performance Summaries

Последние добавления:
2018-07-17
10:36
Performance of various triggers used in the Supersymmetry group in early 2018 data /CMS Collaboration
This note reviews the performances, in early 2018 data, of various triggers developed or used by the Supersymmetry group of the CMS collaboration..
CMS-DP-2018-049; CERN-CMS-DP-2018-049.- Geneva : CERN, 2018 - 26 p. Fulltext: PDF;

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2018-07-16
10:53
Performances of $E_T^{\text{miss}}$ trigger for heavy diboson searches in 2018 data /CMS Collaboration
Performances of a $E_T^{\text{miss}}$ trigger path have been studied on 2018 data collected by the CMS detector, corresponding to an integrated luminosity of $16.6 \text{ fb}^{-1}$, as a function of the offline missing transverse momentum, after the transverse momenta of the muons are removed from the computation, and as a function of the number of primary vertices reconstructed offline..
CMS-DP-2018-048; CERN-CMS-DP-2018-048.- Geneva : CERN, 2018 - 6 p. Fulltext: PDF;

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2018-07-12
09:41
Performance of CMS muon detectors in 2018 Collision Runs /CMS Collaboration
The performance of the CMS DT, RPC and CSC muon subdetectors was evaluated with the first collision data in 2018..
CMS-DP-2018-047; CERN-CMS-DP-2018-047.- Geneva : CERN, 2018 - 57 p. Fulltext: PDF;

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2018-07-12
09:41
Performance of Deep Tagging Algorithms for Boosted Double Quark Jet Topology in Proton-Proton Collisions at 13 TeV with the Phase-0 CMS Detector /CMS Collaboration
For many searches for new physics at the LHC, it is important to distinguish jets that originate from the merged decay products of resonances produced with high transverse momentum from jets that originate from single partons. We present three algorithms that aim to distinguish the b$\mathrm{\bar{b}}$ and c$\mathrm{\bar{c}}$ decay modes of such resonances from light flavour jets, as well as distinguish between the two. [...]
CMS-DP-2018-046; CERN-CMS-DP-2018-046.- Geneva : CERN, 2018 - 17 p. Fulltext: PDF;

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2018-07-09
16:14
Validation of Geant4 simulation with test-beam and Run-2 data /CMS Collaboration
We report status of the CMS full simulation software for Run-2 operation. The new Geant4 version 10.4 is adopted after detailed validations using test-beam and collision data..
CMS-DP-2018-045; CERN-CMS-DP-2018-045.- Geneva : CERN, 2018 - 14 p. Fulltext: PDF;

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2018-07-09
16:14
Level-1 Muon Trigger Performance /CMS Collaboration
This document describes the performance of the CMS Level-1 Muon Trigger with part of 2018 dataset. Efficiency plots are included for each track finder (TF) individually and for the system as a whole. [...]
CMS-DP-2018-044; CERN-CMS-DP-2018-044.- Geneva : CERN, 2018 - 12 p. Fulltext: PDF;

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2018-07-06
15:20
Level-1 Calorimeter Trigger Performance /CMS Collaboration
By the end of 2017, the LHC achieved an instantaneous luminosity of 2.06 x 10$^{34}$ cm$^{-2}s^{-1}$ with peak average pileup of more than 50. Till now LHC has delivered 23.16 fb$^{-1}$ of data for 2018. [...]
CMS-DP-2018-040; CERN-CMS-DP-2018-040.- Geneva : CERN, 2018 - 16 p. Fulltext: PDF;

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2018-07-06
15:20
Standard Model $H\to\gamma\gamma$ Trigger Efficiency /CMS Collaboration
This note shows the efficiency of the trigger used in the Standard Model $H\to\gamma\gamma$ analyses. The measurement uses the full dataset collected in 2017 by CMS, corresponding to 41.5 fb-1..
CMS-DP-2018-039; CERN-CMS-DP-2018-039.- Geneva : CERN, 2018 - 8 p. Fulltext: PDF;

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2018-07-06
15:20
Tracking Performance in the CMS High Level Trigger - June 2018 /CMS Collaboration
In this note, the performance of the reconstruction of charged particle tracks in the CMS High Level Trigger in 2018 is described. Tracking efficiency and fake rate are measured in simulated top-pair production events. [...]
CMS-DP-2018-038; CERN-CMS-DP-2018-038.- Geneva : CERN, 2018 - 20 p. Fulltext: PDF;

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2018-07-06
15:20
Jet trigger performance in 2018 at 13 TeV /CMS Collaboration
Performance of the single particle-flow jet trigger in proton-proton collisions recorded during early 2018 is presented..
CMS-DP-2018-037; CERN-CMS-DP-2018-037.- Geneva : CERN, 2018 - 4 p. Fulltext: PDF;

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