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Monte Carlo samples for B-group

Monte Carlo samples for B-group. } standard cdfSim. Structure of realistic B-MC for 5.3.x : Step 1 Generation (Only Pythia and Bgenerator used to now) Simulation with Silicon clustering Step 2 Trigger Simulation TRGSim++_mc svtfilter or Prereq  include this in TRIGSim++_mc Step 3

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Monte Carlo samples for B-group

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  1. Monte Carlo samples for B-group }standard cdfSim Structure of realistic B-MC for 5.3.x : • Step 1 • Generation (Only Pythia and Bgenerator used to now) • Simulation with Silicon clustering • Step 2 • Trigger Simulation TRGSim++_mc • svtfilter or Prereq include this in TRIGSim++_mc • Step 3 • Production One tcl file, number of events, run number, random seeds changed by submitter. More difficult to re-send crashed jobs, easier to make mistakes, let’s think about it.  Use standard ProductionExe

  2. Monte Carlo samples for B-group What we want for simulation 5.3.x • Bgenerator fix • EvtGen new release and new decay table (R.Tesarek) • Improved COT simulation:dE/dx from GEANT or from parametrization of different particle species int q = stepdata.g3()->Gckine()->CHARGE; charge is calculated but not used • XFT correct simulation of p /K (get it from COT ?) • ISL/L00 tuning ?? • MC widths should match the data if 5.2.0 is used for data (better alignment). Probably no action needed on MC at present. In other packages: • Include svtfilter toTRIGSim++_mc • Include trigger decisions to be able to use Prereq

  3. Differences of COT efficiencies are not reproduced in MC • p/K XFT efficiencies are the same in simulation. • Use dE/dx in COT to calculate charge, hit and ToT for COTQ From S. Giagu

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