Difference between revisions of "Photon Reconstruction in b1pi events 02/10/2012"
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* Other three sharp peaks? | * Other three sharp peaks? | ||
| − | A timing cut fabs(t_shower-t_flight) < 1 ns can be applied to remove many of the extra "photons". | + | A timing cut fabs(t_shower-t_flight) < 1 ns can be applied to remove many of the extra "photons". (Red curve below) |
| − | I don't think low energy showers are well understood at the moment, so remove clusters with E<60 MeV. | + | I don't think low energy showers are well understood at the moment, so remove clusters with E<60 MeV. (Green) |
| − | Also, cut out a problem area at forward angles and lower energies (E<150 MeV && z>300 cm) | + | Also, cut out a problem area at forward angles and lower energies (E<150 MeV && z>300 cm) (Blue) |
[[Image:photonZ_recon_cuts_BCAL.png]] | [[Image:photonZ_recon_cuts_BCAL.png]] | ||
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With all cuts: | With all cuts: | ||
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[[Image:photonEvsZ_recon_cuts_BCAL.png]] | [[Image:photonEvsZ_recon_cuts_BCAL.png]] | ||
| − | Number of "photons" decreases from | + | Number of "photons" decreases from 60,000 to 17,000. |
==Two gamma invariant Mass== | ==Two gamma invariant Mass== | ||
Revision as of 18:31, 10 February 2012
BCAL
Thrown photons
For comaparision, useful to use z rather than theta
Reconstructed photons
Where does each of these peaks come from?
- Broad peak around 125 cm from protons?
- Peaks at upstream and downstream ends of detector from noise that cause garbage timing info?
- Other three sharp peaks?
A timing cut fabs(t_shower-t_flight) < 1 ns can be applied to remove many of the extra "photons". (Red curve below)
I don't think low energy showers are well understood at the moment, so remove clusters with E<60 MeV. (Green)
Also, cut out a problem area at forward angles and lower energies (E<150 MeV && z>300 cm) (Blue)
With all cuts:
Number of "photons" decreases from 60,000 to 17,000.
Two gamma invariant Mass
Look at pairs of 2 BCAL photons and 1 BCAL+1 FCAL photon, with the cuts described above. Using truth vertex information.
Compare KLOE algorithm to GlueX algorithm.
Black is KLOE, red is GlueX. Fits are to gaussian + straight line.
GlueX has less background, the fit also indicates that it has a taller peak, but I don't know how much this fit can really be trusted.
