Strip clustering, strip size and threshold cuts


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Multiple strips -> tracking resolution.
Having a cluster of hit strips rather than a single hit strip improves the point resolution. Just taking the center of a cluster as an estimator of the track crossing coordinate is better than the single-strip center:

cluster size sigma (um)
1 3.6
2 10.1
3 9.9
4 9.7
weighted avg. 9.9

For comparison (5th plot m29), sigma is 18.6 for normal-incident, single-strip hits. Also note that this distribution is flat, and making the assumption of a gaussian error distribution will negatively affect track fitting algorithms that assume measurement errors are gaussian.
Since all this depends on angle of incidence, I added for this section 5 runs, with z-vertices at -10, -5, 0, 5 and 10cm.

Further resolution improvements will result from making ADC threshold cuts, and ADC-weighted cluster fits.

bigger version of these plots-->

 


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.

 Threshold
  25 34 50 75 125
#clusters size=1 437 639 1132 2876 13918
mean cluster size 2.9 2.8 2.6 2.3 1.8
n3/n2 1.6 1.4 1.0 0.52 .25
Resolution 8.6 9.5 9.5 9.6 8.2
Picture 50x25 50x34 50x50 50x75 50x125


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.


 Strip width
  50 75 100 200
Threshold 25 34 50 75
#clusters size=1 437 2757 7347 22743
mean cluster size 2.9 2.3 1.9 1.3
Resolution 8.6 15.3 21.4 36.3
strip/sqrt(12) 14.4 21.6 28.9 57.7
Picture 50x25 75x34 100x50 200x75


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Last update 31 Jan 06 - HvH
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