Jet algorithms performance in 13 TeV data - INSPIRE

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Jet algorithms performance in 13 TeV data

CMS

Collaboration

2017

41 pages

Report number:

CMS-PAS-JME-16-003

Experiments:

CERN-LHC-CMS

View in:

CERN Document Server

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Abstract:

The performance of jet algorithms with data collected by the CMS detector at the LHC in 2015 with a center-of-mass energy of 13 TeV, corresponding to 2.3 fb

^{-1}

of integrated luminosity, is reported. The criteria used to reject jets originating from detector noise are discussed and the efficiency and noise jet rejection rate are measured. A likelihood discriminant designed to differentiate jets initiated by light-quark partons from jets initiated from gluons is studied. A multivariate discriminator is built to distinguish jets initiated by a single high

p_{\mathrm{T}}

quark or gluon from jets originating from the overlap of multiple low

p_{\mathrm{T}}

particles from non-primary vertices (pileup jets). Algorithms used to identify large radius jets reconstructed from the decay products of highly Lorentz boosted W bosons and top quarks are discussed, and the efficiency and background rejection rates of these algorithms are measured.

Note:

Preliminary results

Data
p p: scattering
p p: colliding beams
track data analysis: jet
particle identification: performance
efficiency
noise
gluon: jet
W: boosted particle
top: boosted particle

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