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Major Changes

  • 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
  • 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
  • Handle track errors correctly
    • This wasn't being done before
    • This looks nice in the event display
  • 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
  • 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.

  Minor Changes

  • Change the way the distance of closest approach is calculated when the POCA occurs exactly at the head of the track
    • This effects some events track which graze side tiles (and a very few which graze to tiles), but only when the distances of closest approach is quite large
  • Use the hardware veto information instead of the energy information in counting number of tiles hit in the Merit Variables
    • This handles issues with the slower timing of the PHA electronics

Testing and Comparison

  Merit Variables that stayed exactly the same

Variable

Plot

Acd Tile Count (also AcdNoRow3Readout):  


AcdRibbonCount:

<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="b2f3e482-83fa-451f-8e3f-5d2a4ae2bf25"><ac:plain-text-body><![CDATA[

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

!AcdTotalEnergy.gif

thumbnail!

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

AcdRibbonEnergy: 

AcdCornerDoca:

AcdTkr1CornerDoca:

 

 
 

Variables that changed slightly because we are using the hardware veto to count hits instead of the Energy corresponding to an expected veto

Variable

Plot

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AcdNoTop (and AcdNoSideRow[0-3]):

!AcdNoTop.gif

thumbnail!

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

 
 

 Changes in the AcdTkr1ActiveDist set of variables

Variable

Plot

Comments



AcdTkr1ActiveDist:  
All Events

Combination of 3 effects:

  1. Selection of which associtation to use
  2. DOCA calculation for case where doca occurs at head of track
  3. Entries lost b/c sigma > 10000 (stripe at -2000)

AcdTkr1ActDistTileEnergy:
All Events:

Combination of 2 effects:

  1. Selection of which associtation to use 
  2. Entries lost b/c sigma > 10000 (stripe at -2)

AcdTkr1ActiveDist:
 Events where POCA occurs above track



This shows the selection effect from moving from the largest active distance
to the combination of active distance, error projection and signal size.



AcdTkr1ActiveDist:
Events where POCA occurs at track start

Combination of 2 effects:

  1. DOCA calculation for case where doca occurs at head of track
  2. Entries lost b/c sigma > 10000.  (stripe at -2000)

 

  
 
 
 

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