
The goal of the Higgs Group experimental studies is to estimate the
discovery reach for the Standard Model and MSSM Higgs bosons in Run 2
and beyond at the Tevatron.  This is ultimately expressed in terms of
the integrated luminosity required to either exclude the Higgs with
95\% confidence if it does not exist, or discover it with some statistical
significance, $3\sigma$ or $5\sigma$ for example, if it does exist at
some mass.

Both CDF and D\O\ will be significantly upgraded in Run 2, and
among the most significant enhancements relevant for the Higgs search
are 
\begin{itemize}
  \item three-dimensional charged particle tracking in both 
        experiments, 
  \item precise silicon vertex detectors for heavy quark tagging, 
  \item charged track triggering using the silicon detectors,
  \item efficient electron and muon identification over the 
        central and forward regions, and
  \item good jet energy resolution with multiple detector
        elements.
\end{itemize}

Estimating the integrated luminosity thresholds requires knowledge of
the signal production cross section and acceptance, identification
efficiencies, and backgrounds.  At the time of the Workshop, neither
CDF nor D\O\ has had full simulation programs of the detector
available.  The Workshop participants agreed to estimate the Higgs
reach based on an average of the expected CDF and D\O\ detector
performance, as represented in a simple simulation, called SHW,
described below.

Also, neither the final $b$-tagging efficiency nor the $\bb$ mass
resolution for Run 2 is known, and part of the motivation for the 
Workshop was to determine the potential gain from future work on these
very important factors in the Higgs reach.  Studies of the tagging
efficiency and mass resolution are presented below, and serve as the
basis for the assumptions made in the individual signal channel studies
and in the SHW simulation program.

We emphasize, however, that obtaining optimal $b$-tagging efficiency,
Higgs mass resolution, and experimental backgrounds will ultimately
rely, in each experiment, upon detailed studies of the data to be
collected in Run 2.  Our aim is to show how the final results depend
on these crucial factors, with reasonably optimistic projections for
what we might ultimately attain with a great deal of hard work in
the coming years.
