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Data/ Monte Carlo comparisons for the EMC
Katharine Schofield October 27th 2004
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The Task To make a systematic study of the performance of the EMC Monte Carlo simulation Identify areas where MC can be improved, and where it can be trusted Perform data/MC comparisons for different particles: e, µ, γ, π, K…. Kinematic quantities, event-based quantities (eg Number of crystals with energy deposition), shower shape variables
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Radiative Bhabhas Using BetaPidCalib Package to select a pure sample of radiative Bhabha events Same selection run on Data and MC Selection code is in BetaPidCalib/BtaEmcRadBhabhaSample.cc Looking at neutral clusters (photons) in EMC associated with these events
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Kinematic quantities (I)
Data Monte Carlo Raw Energy Shape of raw energy distribution? Selection effect? Gamma conversion : mostly Bremsstrahlung, i.e. an e from an ordinary Bhabha event emits a photon due to interaction with the detector material Difference due to poor modelling of the detector material in the MC?
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Kinematic Quantities (II)
Theta Theta Ratio Disagreement of theta at top and bottom of range? Angular range in MC sample (SP-2400) is 17.9o<<131.1o Angular cut imposed by BetaPidCalib selection is 15.8o<<140.8o Tried cutting at 20.9o<<120.3o and re-plotting Eraw (& other variables), but this did not cure any discrepancies between Data/MC – ie, cutting on the range where DOES agree does not seem to improve agreement in other variables
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Raw Energy / Theta (I) ! !
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Raw Energy/ Theta (II) Mismatch of Data/MC looks worst in range 0.25<<0.75 (14.3o<<43.0o), but OK elsewhere Next thing to try is restricting range even further to 0.75<<2.25 (43o <<128o) to try and get agreement in the raw energy distribution
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Data/MC Ratios (I) Raw Energy Theta Phi
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Data/MC Ratios (II) ! Lateral Moment E/p No. Crystals
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Data/MC Ratios (III) Second Moment s1s9 s9s25
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Data/MC Ratios (IV) Zernike20 Zernike42
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Conclusions The root of the discrepancy in Eraw and theta is still not obvious See if restricting theta to 0.75<<2.25 improves the agreement of Eraw and other variables LAT discrepancy particularly bad Need to look at more basic quantities before drawing conclusions on ‘higher level’ shower shape variables
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