V0 Reconstruction Using Fitting Techniques

A. C. Saulys


Work in Progress

Here are some PRELIMINARY results from my analysis of 99 HIJING central Au-Au events from these files:
This is year 1 geometry, using tracks from TPC only refit using the Kalman filter. I used SL99e (yes it is that old, but the ground did not rock while I was developing the code).
Constraint fits to the V0 vertices and the impact parameter of the daughter tracks at the primary vertex were done
using Victor's constrained fit code.

More details will be coming...

Effective mass spectrum of proton pi- with following cuts:

No Armenteros cuts, no magic, just basic physics principles and statistical analysis used in the cuts.

Admitedly, the above figure has rather limited statistics, but a Lambda signal above background can be calculated. The sum of the 4 bins with the Lambda signal = 77. Background from adjacent bins = 28. Number of Lambdas/event = .49 +- .06. This should be compared with the corresponding number of .256 from the nice work of Matt Lamont where the traditional geometric cuts were used.

I think I may be able to improve on the background yet, but a background of about 30% is not too bad.

My code is optimized for Lambda reconstruction (i.e. positive tracks are fit as protons), but I do get the following K0s spectrum as a byproduct:

Effective mass spectrum of pi+ pi- with same cuts as above.

There are 386 K0s in that mass range and about 25% background (from adjacent bins), yielding about 3 K0s/event as compared to 1.858 from Matt's work.

Effective mass spectrum of pi+ pi- with same cuts as above(with bigger mass range).

The advantages of my approach are not only that it yields more V0s/event, but also the cuts are momentum independent, making corrections easier.

More to come...

Last update 2 March 2000