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New MC set summary

Old MC set summary. Monte Carlo set comparison. New MC set summary. 400k events generated for each set in STARlight Radius adjusted for matching exponential slope of t-spectrum Fully reconstructed (raw output run through same processes as data to account for detector effects)

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New MC set summary

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  1. Old MC set summary Monte Carlo set comparison New MC set summary • 400k events generated for each set in STARlight • Radius adjusted for matching exponential slope of t-spectrum • Fully reconstructed (raw output run through same processes as data to account for detector effects) • ‘Old’ MC Set - radius matched to exponential slope for both MC sets (with and without interference) • ‘New’ MC Set - same radius for both sets

  2. 400k events generated for MinBias (XnXn) MC set in STARlight • Radius adjusted for matching exponential slope of t-spectrum • fit function = Ae-k*t • data k = 302 GeV-1 • MC k = 296 GeV -1 • fit range: 0.004 < t < 0.01

  3. 400k events generated for topology (0n0n) MC set in STARlight • Radius adjusted for matching exponential slope of t-spectrum • fit function = Ae-k*t • data k = 373 GeV-1 • MC k = 371 GeV -1 • fit range: 0.004 < t < 0.01

  4. 1 2 Explanation of plots: Ratio of GEANT corrected Monte Carlo (STARlight) interference t-spectrum (t~pT2) to no-interference t-spectrum Ratio of uncorrected STARlight interference t-spectrum to no-interference t-spectrum Efficiency curves calculated for interference and no-interference scenarios (ratio of MC t-spectrum run through GEANT to t-spectrum not run through GEANT) MC interference histogram (blue), MC no-interference histogram (green), uncorrected data (red points), overall parameterization (red curve) uncorrected data (red points), overall parameterization (red curve) 3 4 5

  5. 1 2 Explanation of statistics: (1) p0 - p6, fit parameters for 6th order polynomial fit to ratio (2) Same as 1 (4 &5) p0 - p2 come from overall fit: p0 = A p1 = c p2 = k UPC MinBias(with nuclear excitation) or UPC topology(without nuclear excitation) = trigger dataset 3 4 5

  6. old UPC MinBias 0.1 < y < 0.5 new UPC MinBias 0.0 < y < 0.5

  7. old UPC MinBias 0.1 < y < 0.5 new UPC MinBias 0.0 < y < 0.5

  8. old UPC MinBias 0.5 < y < 1.0 new UPC MinBias 0.5 < y < 1.0

  9. old UPC MinBias 0.5 < y < 1.0 new UPC MinBias 0.5 < y < 1.0

  10. old UPC Topology 0.1 < y < 0.5 new UPC Topology 0.1 < y < 0.5

  11. old UPC Topology 0.1 < y < 0.5 new UPC Topology 0.1 < y < 0.5

  12. old UPC Topology 0.5 < y < 1.0 new UPC Topology 0.5 < y < 1.0

  13. old UPC Topology 0.5 < y < 1.0 new UPC Topology 0.5 < y < 1.0

  14. MC set Summary

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