Top Physics: CDF Results

TL;DR

This paper reports recent measurements of top-quark properties and cross sections from CDF using collision data, employing neural networks and various techniques to improve analysis accuracy.

Contribution

It introduces new measurements of the t-tbar cross section and top-quark branching fractions using advanced analysis methods like neural networks.

Findings

Measured t-tbar cross section in multiple decay modes

Used neural networks to distinguish signal from background

Studied top-quark branching fractions

Abstract

The top quark plays an important role in the grand scheme of particle physics, and is also interesting on its own merits. We present recent results from CDF on top-quark physics based on 100-200/pb of p-pbar collision data. We have measured the t-tbar cross section in different decay modes using several different techniques, and are beginning our studies of top-quark properties. New analyses for this conference include a measurement of the t-tbar cross section in the lepton-plus-jets channel using a neural net to distinguish signal and background events, and measurements of top-quark branching fractions.