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A cut is applied to select good gamma rays:
"FswGamState==0 && TkrNumTracks > 0 && CalEnergyRaw > 5 && CalCsIRLn>4 && CTBCORE>0 && CTBBestEnergyProb>0.1 && CTBClassLevel>2 && FT1ZenithTheta>112 && FT1ZenithTheta<115"

Cal xtals are tagged with the most conservative algorithm described above: energy >120MeV and no cal_lo trigger in both xtal ends.

Top panel of plot below shows the distribution of (log10 of) deposited energy for:
all sample, events with at least 1 ghost-tagged xtal, events with at least 1 ghost-tagged xtal & > 50% of ghost-tagged energy fraction

Bottom panel of plot below shows the correlation between number of ghost-tagged xtals and ghost-tagged energy (zero suppressed) Image Added

It looks like that almost all good gamma events have at least one ghost-tagged xtal and even requiring a large ghost-tagged energy we select a large fraction of events

I also looked at a couple of events that are "ghosty" according to this algorithm:
they look like perfect gamma-ray in which also the old reconstruction works fine

Evt Id 130047

Evt Id 333286

Image Added

Image Added

8 tagged xtals
80% ghost-energy

32 tagged xtals
97% ghost-energy

Ghost number and cluster classification

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