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.
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.