New MC set summary Old MC set summary 400k events generated for each set in STARlight Radius adjusted for matching exponential slope of t-spectrum Fully.

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Presentation transcript:

New MC set summary Old 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 Monte Carlo set comparison

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: < t < 0.01

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: < t < 0.01

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

UPC MinBias(with nuclear excitation) or UPC topology(without nuclear excitation) = trigger dataset 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

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

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

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

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

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

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

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

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

MC set Summary c old  2 /dof c new  2 /dof Minbias 0.1 < y <  /  / < y <  /  /47 Topology 0.1 < y <  /  / < y <  /  /47