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Summary at AWG Meeting:

Summary at AWG Meeting:. Action items from previous meetings: Add background Found backgrounds above 4% marginally acceptable at 4M event level Make fit with no “tips” Appears to work, ( c 2 /NDF ?). Make fits with available data sample size: With L>3 this is ~834K events for run 1-4

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Summary at AWG Meeting:

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  1. Summary at AWG Meeting: Action items from previous meetings: • Add background Found backgrounds above 4% marginally acceptable at 4M event level • Make fit with no “tips” Appears to work, (c2/NDF ?). • Make fits with available data sample size: With L>3 this is ~834K events for run 1-4 • Fit data First look and found a problem at boundaries – may also be in toy MC ? • Systematic uncertainties – more data-sized samples needed • Finish BAD

  2. From 3 Different Starts: ~4 M events lnL=-16000287.4, chi/NDF146250.7/145900

  3. Fit with No Background: ~4 M events lnL=--18355956.7; chi/NDF 141762/141667 1.0007

  4. Fit with ~98.2% Purity: ~4 M events lnL=--18745827.2; chi/NDF 144015/143129 1.0062

  5. Fit with ~97.25% Purity: ~4 M events lnL=--18745827.2; chi/NDF 144015/143129 1.0062

  6. Fit with ~96.3% Purity: ~4 M events 160K fcn’s !! lnL=--16565808.1; chi/NDF 141377/140401 1.0070

  7. Fit with no Tips, Purity 96.4%: ~4 M events 95K fcn’s !! chi/NDF 1516306/144017 1.053

  8. Start at MCC with 4M events: ~4 M events 95K fcn’s !! chi/NDF 144960.5/143378 1.011

  9. Start at MCC with 834K events: ~834 K events 95K fcn’s !! 60503.3/ 57637 1.0497

  10. Data - First Look - Plausible?? ~834 K events L>2.25 110K fcn’s !! chi/NDF 140291.8/ 57592 2.436 !!

  11. Why is c2/NDF 2.44 ? • We find that bins near upper and lower boundaries of the square plot have large contributions (typically 100’s!) • Removing |cos q|>0.965 reduces c2/NDF to 1.2 !

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