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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
    • 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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  Effects on background rejection

Wiki Markup
\[ Here\|ACD Recon update, effects on background rejection\] is a page that describes so efforts to use the new variables to do background 
 Here is a page that describes so efforts to use the new variables to do background
rejection.

Improvements to event display

Here is a page that describes how this information is visualized in the event display.

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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="3166131861ff72ab-c8525913-4bf143ad-bd42bc12-c051ce9998eb79dd08999f71"><ac:plain-text-body><![CDATA[

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

!AcdTotalEnergy.gif

thumbnail!

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

AcdRibbonEnergy: 

AcdCornerDoca:

AcdTkr1CornerDoca:

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Variable

Plot

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="dbd4d337dd4e0f6d-e0e88455-48244f89-a1c7b0f0-2e0541f1402341853a1bf9e5"><ac:plain-text-body><![CDATA[

AcdNoTop (and AcdNoSideRow[0-3]):

!AcdNoTop.gif

thumbnail!

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

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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="5288a24ba3a78d6a-b1e347dd-4b8f4fab-b08bad16-71d32eedc0b0df46e6b8cf9c"><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.

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Variable

Plot

Comment

AcdRibbonActDist

 

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="c0c95a43e45ce5c3-e4b477ee-47de-a049b464-88386880396d43f725609b3f"><ac:plain-text-body><![CDATA[

AcdRibbonActEnergyPmtA[B]

!AcdRibbonActEnergyPmtA.gif

thumbnail!

 

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

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