Difference between revisions of "Mattione BCAL Segmentation"

Revision as of 00:53, 12 October 2011

(Photons running) Fit current BCAL time uncertainties for photons, pions, and protons: make sure they're similar to the uncertainties in David's studies.
- If they are not: probably due to clustering algorithm(s): ASSUME that the % of the timing uncertainty improvement is independent of this difference.

Fit the BCAL time resolution improvement % from the table of David's results as a function of theta (separately for photons, pions, and protons). Energy-dependence comes from the coefficients.

(Running) Separately generate single-track events of photons, pions, and protons with the BCAL time smearing disabled (generated at center of target: assume that this is what David did).
Determine time-smearing necessary to reach the improved time resolution, code smearing into BCAL shower reconstruction.

Determine PID cuts for protons & pions (delta-beta vs p) (use datasets generated earlier).

Generate b1pi events (all vertex z)
Two analyses: one with BCAL time smearing disabled (smear during shower reconstruction), the other with default smearing.
Run cooking code to reconstruct events.
Perform b1pi analysis, using PID cuts (allow all hypotheses).

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 * Fit the BCAL time resolution improvement % from the table of David's results as a function of theta (separately for photons, pions, and protons).  Energy-dependence comes from the coefficients.
-* '''Running''' Separately generate single-track events of photons, pions, and protons with the BCAL time smearing disabled (generated at center of target: assume that this is what David did).
+* '''(Running)''' Separately generate single-track events of photons, pions, and protons with the BCAL time smearing disabled (generated at center of target: assume that this is what David did).
 * Determine time-smearing necessary to reach the improved time resolution, code smearing into BCAL shower reconstruction.