Major Changes
- Use Pattern Recognition pattern recognition in addition to GEANT model to determine which tiles and ribbons to associate with tracks
- This allows us to handle near misses, which is needed to do efficiency studies
- More detailed description of pattern recognition technique is here
- Have information be associated with tracks, instead of having a single big set for the whole event
- This makes using the event display much easier
- This makes getting access to information in Recon root files easier
- More information about new ACD recon data structures is here
- Handle track errors correctly
- This wasn't being done before
- This looks nice in the event display
- More information about error propagation is here
- Sort ACD - track associations by a combined signal size/ distance quality measure instead of using only distance
- This gets rid of problems with shadowing, where one association with a small signal masked another nearby one with a larger signal
- More information about quality measures is here
- Always calculate gaps to tiles
- Before this was a hodge podge, we had to handle cases where the track hit ribbons, tiles and missed everything differently.
- More information about how we treat gaps is here
- Sort gaps by the probability that the track went into the gap, including the size of the gap and the error projection
- Before gaps were sorted only by the distance to the gap
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Variable | Plot | |||
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Acd Tile Count (also AcdNoRow3Readout): | | |||
AcdRibbonCount: |
| |||
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="91db22394cdc7e1d-eaa3c11c-40d54054-b1b89b54-f77d15aeae77eb55f97de8f7"><ac:plain-text-body><![CDATA[ | AcdTileEnergy (also AcdEnergyTop, AcdEnergyRow[0-3]): | !AcdTotalEnergy.gif | thumbnail! | ]]></ac:plain-text-body></ac:structured-macro> |
AcdRibbonEnergy: |
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AcdCornerDoca: |
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AcdTkr1CornerDoca: |
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...
Variable | Plot | |||
---|---|---|---|---|
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="b45bfcd60ac37cc6-dc9a1d13-418946a0-861f8ffc-a4638cd9ee43742dd44fdc1c"><ac:plain-text-body><![CDATA[ | AcdNoTop (and AcdNoSideRow[0-3]): | !AcdNoTop.gif | thumbnail! | ]]></ac:plain-text-body></ac:structured-macro> |
...
Variable | Plots | Comments | ||
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AcdTrk1RibbonActDist |
| Combination of two effects:
| ||
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="57d7a22f24f0e57b-12dec199-40244018-876a807b-6537d077b6a759edc06d91c5"><ac:plain-text-body><![CDATA[ | AcdTrk1RibbonActEnergyPmtA[B] | !AcdRibbonActEnergyPmtA.gif | thumbnail! | Combination of two effectos:]]></ac:plain-text-body></ac:structured-macro>
|
...
Variable | Plot | Comment | |||
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AcdRibbonActDist |
|
| |||
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="d023370c530e28d4-b1439ec3-4ef4406c-bc16b85b-541a2083051dfdcbdf04514f"><ac:plain-text-body><![CDATA[ | AcdRibbonActEnergyPmtA[B] | !AcdRibbonActEnergyPmtA.gif | thumbnail! |
| ]]></ac:plain-text-body></ac:structured-macro> |
...