Hi all,

Sorry I could not be here today; I had an unfortunate mixup with my 
transportation.

I started this research position on Tuesday under Young-Kee Kim and have 
been learning a lot from Hans about the project.

We are beginning to examine muon collider simulations, specifically 
looking at the results of individual Monte-Carlo particles in the 
proposed detector system.  

The purpose of our research is ultimmately to develop analysis 
techniques that will allow us to make accurate measurements, 
particularly for Z' events.  If we prove successful, it will be an 
important step in determining the potential use of such a collider.

One of the biggest concerns is the high level of background noise 
associated with this type of detector, so we hope to develop some tools 
for 'predictive tracking', which will allow us to categorize, recognize, 
and predict the results of various particle events so that we can follow 
them through the noise of the detector.

We are begining by looking at techniques to improve time measurement 
resolution.

Attached is a brief description of the work I've done so far from my 
research journal and a screenshot of the output from my analyzeTime 
program.  It shows the effect of cutting off varying amounts of 
calorimeter data based on a sliding cutoff point; the effect is that 
less energy is detected the later the cutoff point, as expected.