Dataset for flavour tagging R&D

This is a dataset for flavour tagging R&D.

It consists of b-jets, c-jets and light-jets in equal number and equal distributions of transverse momentum, pseudo-rapidity and track multiplicity. 

The jets are sampled from ttbar events produced from proton-proton collisions at 14 TeV, using Pythia8. An ATLAS-like detector is parameterized using Delphes. The anti-kT R=0.4 algorithm with calorimeter inputs is used to define the jets.

Jets are labelled as b-jets if there is a b-hadron within dR<0.3 of the jet, otherwise as c-jets if there is a c-hadron within dR<0.3, otherwise as light-jets. 

Tracks are associated to jets if they are within dR<0.4. If this condition holds for more than one jet, only the closest one is considered. Tracks are represented by their perigee parameters (d0, z0, pt, phi, cotan(theta)), which are smeared according to track pt and track eta dependent uncertainties.

This dataset is heavily based on the Secondary Vertex Finding in Jets Dataset and we thank J. Shlomi for the code and input.