gTau results at D0h

Anne-Catherine Le Bihan

 

Abstract:

Efficient and discriminating identification of tau lepton is essential

for many measurements and searches of the D0 analysis program.  

A set of neural networks has been developed in order to identify taus

in their hadronic modes.  The neutral network technique uses

as input variables describing the narrowness, isolation

and transverse energy deposit of tau jets in comparison to QCD jets,

and the fact that tau decay products have less associated charged tracks

and a small number of neutral particles.  This identification method has been

used in the measurement of Z -> ƒΡƒΡ -> ƒΡhadrƒΚ cross section

as well as in searches for supersymmetric particles, leading to e + e + tau final states.  

These topologies are expected to arise if R-parity is violated

and the lightest neutralino is allowed to decay through ƒΙ133 coupling.  

Preliminary limits have been set on this susy scenario.