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  • Use 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.   An start on one such study is here.
    • 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

Acd Tile Count (also AcdNoRow3Readout):  


AcdRibbonCount:

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="b7ef55f3c7fccfb0-4b54a823-44e645b7-b46fbc88-4c385c9385649aedcc197f2a"><ac:plain-text-body><![CDATA[

AcdTileEnergy (also AcdEnergyTop, AcdEnergyRow[0-3]): 

!AcdTotalEnergy.gif

thumbnail!

]]></ac:plain-text-body></ac:structured-macro>

AcdRibbonEnergy: 

AcdCornerDoca:

AcdTkr1CornerDoca:

...

Variable

Plot

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="5f53209a7125a910-e53cc89f-45a34ce0-a3a9ac80-34d82cbc41373a7c4997061c"><ac:plain-text-body><![CDATA[

AcdNoTop (and AcdNoSideRow[0-3]):

!AcdNoTop.gif

thumbnail!

]]></ac:plain-text-body></ac:structured-macro>

...

Variable

Plots

Comments

AcdTrk1RibbonActDist

Combination of two effects:

  1. Lots of associations with larger miss distances lost because they occur behind the head of the track.
  2. A small number of events have different ribbon selected because of the change in ordering

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="07071eea736e76e9-217f64a9-4e2d4aa5-bfbaa2e2-c4c2d2524bae4fad51be3d13"><ac:plain-text-body><![CDATA[

AcdTrk1RibbonActEnergyPmtA[B]

!AcdRibbonActEnergyPmtA.gif

thumbnail!

Combination of two effectos:]]></ac:plain-text-body></ac:structured-macro>

  1. Lots of associations with larger miss distances lost because the occur behind the head of the track.
  2. A small number of events have different ribbon selected because of the change in ordering.

...

Variable

Plot

Comment

AcdRibbonActDist

 

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="ab9826ddcd4d07e1-ad603f36-47204109-afaa952e-192eac88bd4a2bec6341048c"><ac:plain-text-body><![CDATA[

AcdRibbonActEnergyPmtA[B]

!AcdRibbonActEnergyPmtA.gif

thumbnail!

 

]]></ac:plain-text-body></ac:structured-macro>

...