Cascade reconstruction studies

I produced 1000 Xi's with GSTAR in four ways:
  1. 1 per event (1000 events)
  2. 10 per event (100 events)
  3. 100 per event (10 events)
  4. 1000 per event (1 event)
The intent was to get an idea of the reconstruction efficiency using clean cascade events as a function of how busy the event was. There is nothing in these events besides the cascades. In the first case, if all three tracks are reconstructed, then it is very likely that they'll combine to get the cascade mass. With more cascades in each event, you have more chance of screwing up which tracks are associated with which other tracks. In the case of all 1000 cascades in a single event, very few are reconstructed properly. The gaussian fit in this case is rather generous for indicating the number and efficiency of reconstructed cascades.

It appears that losses do not really worsen between having a single cascade in an event and having 10. But a downward turn at higher multiplicities is evident. It's clear that the background with these particular cuts will be a serious issue. It's also clear that clean single cascade events are quite poorly reconstructed (under 10% efficieny), using the cuts we have in place. However, even such an efficiency should be reasonable in determining spectra given enough events if our S/N is sufficient with these cuts. Using StMCEvent to evaluate losses will be very enlightening.

Note that these reconstruction efficiencies include the tracking reconstruction efficiency. I have taken into account the cascade and lambda decay branching ratios to the final state p,pi,pi = 0.99887 * 0.639 (I divided this out in the reconstruction efficiency). Also, the rapidity and pt distribution plots are on all cascade candidates, even if their mass is incorrect and/or they are not real cascades - such distributions are not very informative without using only truly reconstructed cascades, nor without the original generated distributions.

Details:


For more detailed images, click on the image to download a postscript version.