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This document outlines the structure and methodology for realistic Monte Carlo simulations tailored for the B-group Standard using version 5.3.x. Key steps include event generation utilizing Pythia and Bgenerator, silicon clustering, and trigger simulation with TRGSim++_mc, incorporating prerequisite functionalities. The production phase emphasizes configuration through a TCL file outlining event numbers and seed adjustments. Important improvements include updates to Bgenerator, EvtGen decay tables, and enhanced COT simulation. The emphasis is on ensuring consistency between MC simulations and real data while addressing potential challenges in job resubmission and error management.
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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
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
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