Abstract
Abstract High performance flavour tagging of jets containing heavy flavours is crucial for the studies planned for the future high energy e + e − Linear Collider (LC). Pixel detectors have proven to provide very powerful flavour identification, for this reason the Linear Collider Flavour Identification collaboration has decided to concentrate its R&D work for the future LC on a Charged Coupled Device pixel vertex detector, and study the flavour tagging performance of the design to optimize it. In this work we first evaluate the basic tracking performance. We then estimate the flavour tagging performance of the present detector layout, using a neural network approach. We conclude by studying the energy dependence of the performance.
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