Strip clustering, strip size and threshold cuts for the cone geometry


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cones.
Bla
 Threshold
  25 34 50 75 125
mean cluster size 1.34 1.13
Resolution 9.33 10.2
Picture 50x25 50x34 50x50 50x75 50x125


 Strip width
  50 75 100 200
Threshold 25 34 50 75
mean cluster size
Resolution
strip/sqrt(12)
Picture 50x25 75x34 100x50 200x75
 


Thresholds
We have to ignore cells where the signal is below some threshold. A particle traversing 300 um of silicon typically generates 24000 electrons. Setting the threshold at 2000 electrons, about 10% of this is an equivalent minimum path length of 25 microns. Strips that are traversed by less than the threshold path are not considered 'on'.
Applying the threshold cut is expected to somewhat improve the resolution, and this is what we see:

For example, for the most prevalent cluster size of 3, sigma goes from 9.876 to 8.633, a 15% improvement.

The weighted mean is now 8.92 um.

Note that the threshold cut (25) is at 1/4 of the most probable path length (~100).

Increasing the threshold cut is expected to make the cluster size smaller by discarding more of the first and last hits in a cluster. As expected, the number of clusters of size 1 goes up, the mean cluster size goes down, the ratio of the 2 most frequent cluster sizes (2,3) goes down, but the resolution (for simplicity, the sigma of the most popular cluster size) doesn't suffer much.



Increasing the strip size while keeping the threshold at approximately 1/4 of the most frequent path length is expected to decrease cluster size and thus data volume. The resolution (defined as above) suffers accordingly.




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Last update 31 Jan 06 - HvH
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