Difference between revisions of "Mattione BCAL Segmentation"
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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. | * 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. | * Determine time-smearing necessary to reach the improved time resolution, code smearing into BCAL shower reconstruction. | ||
Revision as of 00:53, 12 October 2011
Procedure
- (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).