Difference between revisions of "CDC algo tuning"

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Using prototype data from [[CDC_50_50]] (run 31924) with offline analysis
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Using prototype data from [[CDC_50_50]] (run 31942) with offline analysis
  
 
50/50 Ar/CO<sub>2</sub> and cosmics, 2100V, prototype horizontal
 
50/50 Ar/CO<sub>2</sub> and cosmics, 2100V, prototype horizontal

Revision as of 22:08, 4 December 2013

Using prototype data from CDC_50_50 (run 31942) with offline analysis

50/50 Ar/CO2 and cosmics, 2100V, prototype horizontal

Original code, many samples upsampled

  1. Event pedestal is mean of 100 samples ending at trigger time
  2. Find hit threshold crossing
  3. Step back <pedlead> points to find new pedestal
  4. Search forward to find high threshold crossing
  5. Search backward to find low threshold crossing
  6. Project through both thresholds to find pedestal crossing time
All thresholds found using upsampled data, with interpolation
Thresholds 5-4-1 pedlead 16 tz 7 tfix 1000
Thresholds 5-4-2 pedlead 16 tz 7 tfix 1000
Thresholds 5-4-3 pedlead 16 tz 7 tfix 1000
All thresholds found using upsampled data, without interpolation at the high and low threshold xings
Thresholds 5-4-1 pedlead 16 tz 7 tfix 1000


Both thresholds found using upsampled data; for timing, used low threshold xing only, with interpolation
Thresholds 5-1 pedlead 16 tz 7 tfix 1000


Fewer samples upsampled

  1. Event pedestal is mean of 100 samples ending at trigger time
  2. Find hit threshold crossing
  3. Upsample region around threshold crossing, with threshold crossing sample in set position
  4. Step back <pedlead> points to find new pedestal
  5. Search forward to find high threshold crossing
  6. Search backward to find low threshold crossing
  7. Project through both thresholds to find pedestal crossing time
High and low thresholds found using upsampled data, with interpolation
Thresholds 5-4-1 pedlead 16 tz 7 tfix 1000


Ideas

  1. Check whether interpolating threshold xings makes any difference - no, not if extrapolating through thresholds to pedestal.
  2. Use the 3rd sample (or mean of 3rd & 4th samples) before hit threshold as local pedestal
  3. Try reverting to one threshold crossing instead of the extrapolation - only slight increase to res width
  4. Try something easier for event pedestal - mean of 4 samples immediately before trigger