Measurement of the top-quark mass using missing <em>E_T</em> + jets events with secondary vertex <em>b</em>-tagging at CDF II

The number of events from t t, which is similarly allowed to fluctuate, is taken to be the excess of the observed data in the positively tagged lepton jets sample over the

(a) The uncertainty on the definition of the ex- clusive dijet sample in data and Monte Carlo events introduces a 0:5% uncertainty on the absolute energy scale for jets outside the

The mass measurement is based on an event- by-event likelihood which depends on both the sample purity and the value of the top-quark mass, using 90 possible jet-to-parton

We observe no significant excess over the expected background and thus set 95% confidence level upper limits on the Higgs boson production cross section for several Higgs boson

We present the first measurement of the mass of the top quark in a sample of tt→ℓνbbqq events (where ℓ=e,μ) selected by identifying jets containing a muon candidate from

For each sample, we reconstruct the top quark mass using the traditional matrix element technique and compare the reconstructed mass to the true input mass M top for several

In this analysis we measure the transverse momenta of particles in jets with respect to the jet axis (k T ), study the dependence of the k T distribution on jet energy, and com-

Events are selected with a neural network which has been directly optimized for statistical precision in top-quark mass using neuroevolution, a technique modeled on