Jet Tagging Studies at TeV LC. Tomáš Laštovička, University of Oxford Linear Collider Physics/Detector Meeting 14/9/2009 CERN. Overview. LCFI Package Monte Carlo Samples Jet Tag Performance and Comparisons Neural Net Inputs and Optimisation Physics Analyses Summary. LCFI Package.
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Tomáš Laštovička, University of Oxford
Linear Collider Physics/Detector Meeting
Fast MC, no beamstrahlung
SiD LoI, full sim/dig/rec
Effect of NN
Significantly better performance
The exact understanding of this difference is unclear at this stage.
Vertex detector Central barrel
We have analysed FastMC so far: experience from LoI tells us that the full simulation and reconstruction is essential as well as a full inclusion of the beam backgrounds.
LCFI package should be optimised for 3TeV CLIC, Neural Nets retrained.
At this stage, 3TeV CLIC b- and c- tagging is not yet fully understood.
We will need to decide what approach to take for the CDR in 2010.