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  • Basic version of the code: tagghosts.C
    • Another version of the code, algorithm is the Johan's one, but output is a tree with number of tagged xtals and sum-of-energy of tagged xtals for the first 3 cluster tagghosts_v1.C .
Overlay energy for tagged clusters (MonteCarlo AG)

I run the tagghosts_v1.C on the 100 AG-GR-v19r4p1gr14-OVL, and looked at the Overlay energy in the first and second cluster vs. the ghost-tagged energy.
The selection is just trigger and filter and CalNumClusters>0. I also required that there is at least 1 tagged xtals, if there are no such xtlas there is nothing to say.
Few details on the algorithm:

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The effect is on the high energy side (>10 GeV) and reduces the efficiency of few percents.

Effect on Flight Data

A test sample is selected in order to see the effect of tagging algorithm on real gamma-ray in flight data

I reprocessed the first 1.5M event of a single full run with a lot of Earth Limb in it: r0324551768
Digi/Recon/merit are taken from DataCatalog, so no pass8 reprocessing is applied (not important for this test).

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"

Ghost number and cluster classification

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