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;
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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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;
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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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;
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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2019-03-20
08:59 |
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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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;
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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2019-03-12
14:51 |
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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2019-02-26
17:02 |
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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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;
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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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;
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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2018-11-26
11:16 |
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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