Data/ Monte Carlo comparisons for the EMC Katharine Schofield October 27th 2004
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
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
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?
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
Raw Energy / Theta (I) ! !
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
Data/MC Ratios (I) Raw Energy Theta Phi
Data/MC Ratios (II) ! Lateral Moment E/p No. Crystals
Data/MC Ratios (III) Second Moment s1s9 s9s25
Data/MC Ratios (IV) Zernike20 Zernike42
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