Quark/Gluon separation

Contact: Ariel Schwartzman

The SLAC ATLAS group is working in the development of a neural network based algorithm 
that assigns jets a probability that they originated from quarks or gluons, based on 
ATLAS Monte Carlo simulations.

There are several physics analysis and problems that can benefit from this technique, 
in particular:

    * Validation of jet energy scale on quark/gluon enhanced data samples.
    * Improve the understanding of Standard Model backgrounds: ttbar+jets.
    * Use flavor tagging to improve inclusive Super-symmetric jet+ETmiss searches: 
      reduce the QCD background by rejecting quark-like jets.

The proposed project consist of developing a quark/gluon flavor separator algorithm 
using a multi-variate technique, and study some of the potential physics applications 
listed above.