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ChronoBunching

Chronobunching is a method used to analyze event signals by grouping hits based on timing and energy factors. This article explores the concept of a “chronobunch,” which aggregates hits that are temporally close and possess sufficient energy. It aims to differentiate between genuine event signals and random crosstalk hits. The developed algorithm effectively identifies significant signal peaks while refining the accuracy of edge detection. Future work will focus on improving discriminators for small crosstalk bundles and enhancing the methodology for clearer data interpretation.

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ChronoBunching

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Presentation Transcript

  1. ChronoBunching Melanie Day University of Rochester 10/7/09

  2. What is Chronobunching? What is Chronobunching? • Every hit has a TDC time from the TFB • Includes real event hits and crosstalk hits • Want to be able to distinguish event signal from crosstalk signal • Want to be able to separate different events in the same gate • A “chronobunch” is a bunch of hits linked together based on several factors • Being close in time • Being close to hits with sufficient energy • Having an edge, with few hits within a certain time from the edge • Crosstalk hits are randomly distributed and usually far apart in time • Do sometimes get small bunches of crosstalk hits(not yet confirmed if they are crosstalk or tail of event signal though) • Accuracy good for large signal peaks

  3. Algorithm Part I

  4. Algorithm Part II

  5. Typical Time Graph

  6. Algorithm Part III • Currently consider hits with >4pe “good” hits • Require 2 “good” hits and 10 pe for a bunch • End bunch or restart algorithm if <1 nearby “good” hits

  7. Chronobunching Result Evt. Bunch Start End #hits 2 1 864 1034 4 2 2 3096 3184 4 2 3 4564 4660 60 2 4 4693 4914 5 2 5 5432 5459 4 Working to find ways of distinguishing between crosstalk bunches and event bunches

  8. Conclusion and Future Work • Can find main signal peak easily with current algorithm • Want to make sure edges are precise • Want to find a way to distinguish between small crosstalk bundles and signal bundles • Considering using position in the p0d and pe distribution of the bundles as discriminators

  9. The End

  10. Backup Slides

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