Bowser-Chao

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
We present an optimized and physically motivated method for separating top quark signal events from background events at the Tevatron. For the top quark signal t ¯ t → e/µ + 4 jets, we show how to reject all but 25% of the background in a data sample while retaining 80% of the signal, without introducing bias into the subsequent mass measurement. The(More)
The use of neural networks for signal vs. background discrimination in high-energy physics experiment has been investigated and has compared favorably with the efficiency of traditional kinematic cuts. Recent work in top quark identification produced a neural network that, for a given top quark mass, yielded a higher signal to background ratio in Monte(More)
  • 1