ESMD shape library


Shower Widths for Monte Carlo and Data

Description

Hal did a comparison of the widths of the shower shapes between Monte Carlo and data. Below is a description of what was done.
      I took the nominal central value, either from the maxHit or the
nominal central value, and added the energy in the +/- 12 strips.  Then I
computed the mean strip (which may have been different from the nominal
central value!!).  I normalized the shape to give unit area for each smd
cluster, and added to the histograms separately for U and V and for MC and
data (= Will's events).  I did NOT handle Will's events correctly, just
using whatever event was chosen randomly, rather than going through his
list sequentially.  Note I ran 1000 events, and got 94 events in my shower
shape histos.

      So, there are several minor problems.  1) I didn't go through Will's
events sequentially.  2) I normalized, but perhaps not to the correct 25
strips, because the mean strip and the nominal strip may have differed.
3) there may have been a cutoff on some events due to being close to one
end of the smd plane (near strip 0 or 287).  My sense from looking at the
plots is that these don't matter much.

      The conclusion is that the MC shape is significantly narrower than
the shape from Will's events, which is obviously narrower than the random
clusters we were using at first with no selection for the etas.  Hence, we
are not wasting our time with this project.

Decsription of Pythia Sample

A few histograms were added to the code:
Figure 1: Data vs. MC mean u-strip

Figure 2: Data vs. MC mean v-strip

Figure 3: Data vs. MC u-strip sigma

Figure 4: Data vs. MC v-strip sigma

Figure 5: MC Ev vs. Eu

Figure 6: Data Ev vs. Eu

Figure 7: MC energy asymmetry in SMD planes

Figure 8: Data energy asymmetry in SMD planes

Figure 9: Shower shape library index used (picked at random)
Single events shower shapes are displayed in esmd.pdf or esmd_solid.pdf.
Hal Spinka
Pibero Djawotho
Last modified Wed Feb 27 09:51:27 EST 2008