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Minimum Bias Monte Carlo Models at CMS

This presentation covers progress in implementing MPI models in Pythia for simulating minimum bias events, focusing on SPS data comparison and future goals such as double diffraction analysis and CMS feasibility study.

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Minimum Bias Monte Carlo Models at CMS

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  1. Minimum Bias Monte Carlo Models at CMS Eder Izaguirre Supervisor: Dr. Paolo Bartalini MBUE Group at CMS

  2. Outline • Summary of last presentation • Discussion of progress made since last presentation • Focus on SPS data comparison with Tunes • Remaining goals for the project

  3. Summary of Last Presentation • Pythia uses MPI models. • Minimum Bias events involve these processes: • Hard and Soft Scattering • Single and Double Diffraction • Beam-Beam remnants

  4. Pythia 6.2 Process List MSEL=0 MSUB(11)=1 MSUB(12)=1 MSUB(13)=1 MSUB(28)=1 MSUB(53)=1 MSUB(68)=1 MSUB(94)=1 MSUB(95)=1 Parameter Tune A Tune DW Tune DWT ATLAS MSTP(81) 1 1 1 1 MSTP(82) 4 4 4 4 PARP(82) 2.0 GeV 1.9 GeV 1.9409 GeV 1.8 GeV PARP(83) 0.5 0.5 0.5 0.5 PARP(84) 0.4 0.4 0.4 0.5 PARP(85) 0.9 1.0 1.0 0.33 PARP(86) 0.95 1.0 1.0 0.66 PARP(89) 1.8 TeV 1.8 TeV 1.96 TeV 1.0 TeV PARP(90) 0.25 0.25 0.16 0.16 PARP(62) 1.0 1.25 1.25 1.0 PARP(64) 1.0 0.2 0.2 1.0 PARP(67) 4.0 2.5 2.5 1.0 MSTP(91) 1 1 1 1 PARP(91) 1.0 2.1 2.1 1.0 PARP(93) 5.0 15.0 15.0 5.0 Comparison of UA5 Data to Tunes in Pythia MSUB(92)=0 MSUB(93)=0

  5. UA5 Data Comparison With Tunes

  6. Goals for the Remaining of the Project • To make a Fit to understand the contribution due to double diffraction in MinBias events. That is find x such that Mbevents= x*DD + (1-x)Hscat and plot x vs eta. Obtain statistics. • Feasibility study of MinBias measurements at CMS during pilot run.

  7. Acknowledgments • Ford • NSF • University of Michigan • CERN • MBUE group at CMS

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