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Data Sample

WORK IN PROGRESS

The analysis uses 839 runs, totaling 7,965,962 events (MB|JP1|JP2), 2,073,334 pions, and 2.2 pb^-1 of integrated luminosity. The run QA effort builds on the work of the jetfinding group, documented here. In addition to the QA requirements imposed by the jet group, I checked the stability of the dE/dx distributions. That work is documented here, but in summary I concluded that the PID information is usable in all the runs that passed jet QA, and that the PID window should be centered on the mean of the pion Gaussian for each fill.

Event Cuts

  • BBC online time difference in [7,8,9]
  • spin DB (StSpinDbMaker) says spin information is OK for bunch crossing
  • online trigger in [96011, 96221, 96233]
  • offline trigger emulator agrees with online trigger decision

Track Cuts

  • pT > 2.0
  • |eta| < 1.0
  • |dcaG| < 1.0
  • nFitPoints > 25
  • nSigmaPion in the range [-1,2] * sigma centered on pion mean

Ideas for more information here

  • event counts by trigger and/or trigger overlap
  • histogram showing effect of each cut

Photon Analysis Progress for the week of 1/21/08-1/25/08

There were two issues to be dealt with this week.  First, we had trouble extracting the calorimeter information from the MuDst, which did not seem to have an StEmcCollection.  Initially we b

BEMC MIP peaks by eta ring for 2008 (FastOffline)

Using some 2008 FastOffline data (production_dAu2008), approximately 420k events, I produced looked for the mip peak in each eta ring. The spectra clean up nicely with the correct pedestals.

Running Spiffy Single Particle MC

One of the difficulties in using single-particle monte carlo in analysis is that tracking will

Kalman 102 : 1D tracking

I have developed some interest in Kalman tracking.

Found this writeup 

A summary of our Photon XS Measurement Efforts

The starting points for our work attempting to measure the photon cross section were a set of papers (OPAL: hep-ex/0305075, ZEUS:

Investigating pT behavior in our MC

The spill-over plots from the previous post raise the question of why the partonic pT spreads so much.  These new plots show more detail on the pT contributions at each stage of the event.

2006 L2Gamma EEmc trigger simulation

12/17/2007

1. Specify runs / timestamps to simulate

More on Raw BSMD ADC Distributions

As Will pointed out, you can't always say with 100% certainty whether a given module is showing banding structure just by looking at the raw ADC vs.

Dijet x1, x2 distributions in eta bins

Below are x1 and x2 distributions for different eta bins. eta3 is always the larger of the two jet etas.