Flavour Tag Studies with the LCFIVertex Package

In this contribution [1] we present studies for optimisation of the flavour tag with the detector model LDCPrime 02Sc using the LCFIVertex package [2, 3]. A sample of ee → Z → qq̄, where q = u, d, s, c, b at √ s = 91.2 GeV generated with Pythia [4] was used. Detector simulation and event reconstruction were performed with the ilcsoft [5] v01-03-06-p02. We also present the preliminary performance of the flavour tag with the detector model ILD 00 to be used in the analyses of the benchmark processes for the International Linear Collider (ILC) Letters of Intent. The LCFIVertex package provides tools for vertex reconstruction with the topological vertex finder ZVTOP [6], flavour tag using neural networks [7] and vertex charge determination [8]. The LCFIvertex source codes and the trained neural networks for flavour tag are available in a CVS repository [9] under marlinreco and tagnets, respectively.