Difference between revisions of "February 17, 2009 Physics"
From GlueXWiki
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[[Image:Figure513.png]] | [[Image:Figure513.png]] | ||
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+ | # Thoughts, to do list, etc. from meeting | ||
+ | Z.P., B.L., D.L., M.S., R.M. | ||
+ | |||
+ | 1. look at difference between reconstructed and generated z position for less than 65 cm | ||
+ | 2. look at single photon reconstruction efficiencies | ||
+ | 3. adjust the error matrix for the BCAL (look in PID/DPhoton_factory.cc) | ||
+ | |||
+ | Next Steps: | ||
+ | 1. look at the a2 mass peak - adjust cuts on the eta and pi0 masses | ||
+ | 2. introduce Pythia background - skim off the wanted events by cutting on the total neutral energy (but we need to record the total number of events before skimming) - hd_filter is a good program example | ||
+ | 3. cut on eta and pi0 masses, then look at the effect on the different angular distributions (i.e. Gottfried-Jackson angles, etc.) |
Revision as of 15:58, 17 February 2009
- Reconstructed Z minus generated Z over the length of the module. The deviations are less than 0.5 cm.
- Reconstructed single photon (0 to 4 GeV) energy BEFORE corrections
- Reconstructed single photon (0 to 4 GeV) energy AFTER corrections
- Unconstrained invariant mass (left) and fit confidence level (right) for pi0 candidates after the mass-constrained kinematic fit. Candidates with Chi2 < 3(5) are shown in red (blue). These are from decays of a2(1320)to eta-pi0 to 4 gamma generated in genr8. This can be compared with Figure 5.12 in Calorimeter physics simulations and reconstruction for the Calorimetry Review (GlueX Portal)
- Unconstrained invariant mass (left) and fit confidence level (right) for eta candidates after the mass-constrained kinematic fit. Candidates with Chi2 < 3(5) are shown in red (blue). These are from decays of a2(1320)to eta-pi0 to 4 gamma generated in genr8.This can be compared with Figure 5.13 in Calorimeter physics simulations and reconstruction for the Calorimetry Review (GlueX Portal)
- Thoughts, to do list, etc. from meeting
Z.P., B.L., D.L., M.S., R.M.
1. look at difference between reconstructed and generated z position for less than 65 cm 2. look at single photon reconstruction efficiencies 3. adjust the error matrix for the BCAL (look in PID/DPhoton_factory.cc)
Next Steps: 1. look at the a2 mass peak - adjust cuts on the eta and pi0 masses 2. introduce Pythia background - skim off the wanted events by cutting on the total neutral energy (but we need to record the total number of events before skimming) - hd_filter is a good program example 3. cut on eta and pi0 masses, then look at the effect on the different angular distributions (i.e. Gottfried-Jackson angles, etc.)