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Tuni ng means di fferent thi ngs to di fferent peopl e The Tyranny - PowerPoint PPT Presentation

Tuni ng means di fferent thi ngs to di fferent peopl e The Tyranny of Carlo J. D. Bjorken Another change that I find disturbing is the rising tyranny of Carlo. No, I dont mean that fellow who runs CERN, but the other one, with first


  1. Tuni ng means di fferent thi ngs to di fferent peopl e

  2. The Tyranny of Carlo J. D. Bjorken “ Another change that I find disturbing is the rising tyranny of Carlo. No, I don’t mean that fellow who runs CERN, but the other one, with first name Monte. 2 P. S k a n d s

  3. The Tyranny of Carlo J. D. Bjorken “ Another change that I find disturbing is the rising tyranny of Carlo. No, I don’t mean that fellow who runs CERN, but the other one, with first name Monte. The simultaneous increase in detector complexity and in computation power has made simulation techniques an essential feature of contemporary experimentation. The Monte Carlo simulation has become the major means of visualization of not only detector performance but also of physics phenomena. So far so good. 2 P. S k a n d s

  4. The Tyranny of Carlo J. D. Bjorken “ Another change that I find disturbing is the rising tyranny of Carlo. No, I don’t mean that fellow who runs CERN, but the other one, with first name Monte. The simultaneous increase in detector complexity and in computation power has made simulation techniques an essential feature of contemporary experimentation. The Monte Carlo simulation has become the major means of visualization of not only detector performance but also of physics phenomena. So far so good. But it often happens that the physics simulations provided by the the MC generators carry the authority of data itself. They look like data and feel like data, and if one is not careful they are accepted as if they were data. All Monte Carlo codes come with a GIGO (garbage in, garbage out) warning label. But the GIGO warning label is just as easy for a physicist to ignore as that little message on a packet of cigarettes is for a chain smoker to ignore. I see nowadays experimental papers that claim agreement with QCD (translation: someone’s simulation labeled QCD) and/or disagreement with an alternative piece of physics (translation: an unrealistic simulation), without much evidence of the inputs into those simulations.” 2 P. S k a n d s

  5. The Tyranny of Carlo J. D. Bjorken “ Another change that I find disturbing is the rising tyranny of Carlo. No, I don’t mean that fellow who runs CERN, but the other one, with first name Monte. The simultaneous increase in detector complexity and in computation power has made simulation techniques an essential feature of contemporary experimentation. The Monte Carlo simulation has become the major means of visualization of not only detector performance but also of physics phenomena. So far so good. But it often happens that the physics simulations provided by the the MC generators carry the authority of data itself. They look like data and feel like data, and if one is not careful they are accepted as if they were data. All Monte Carlo codes come with a GIGO (garbage in, garbage out) warning label. But the GIGO warning label is just as easy for a physicist to ignore as that little message on a packet of cigarettes is for a chain smoker to ignore. I see nowadays experimental papers that claim agreement with QCD (translation: someone’s simulation labeled QCD) and/or disagreement with an alternative piece of physics (translation: an unrealistic simulation), without much evidence of the inputs into those simulations.” Account for parameters + pertinent cross-checks and validations Do serious effort to estimate uncertainties, by salient MC variations 2 P. S k a n d s

  6. Resources Data Preservation: HEPDATA Online database of experimental results Please make sure published results make it there Analysis Preservation: RIVET Large library of encoded analyses + data comparisons Main analysis & constraint package for event generators All your analysis are belong to RIVET Updated validation plots: MCPLOTS.CERN.CH Online plots made from Rivet analyses Want to help? Connect to Test4Theory (LHC@home 2.0) Reproducible tuning: PROFESSOR Automated tuning (& more) 3 P. S k a n d s

  7. (Test4Theory) The ¡LHC@home ¡2.0 ¡project ¡Test4Theory ¡allows ¡users ¡to ¡par:cipate ¡in ¡running ¡ simula:ons ¡of ¡high-­‑energy ¡par:cle ¡physics ¡using ¡their ¡home ¡computers. The ¡results ¡are ¡submiAed ¡to ¡a ¡database ¡which ¡is ¡used ¡as ¡a ¡common ¡resource ¡by ¡both ¡ experimental ¡and ¡theore:cal ¡scien:sts ¡working ¡on ¡the ¡Large ¡Hadron ¡Collider ¡at ¡CERN. New Users/ July 4 th 2012 Day May June July Aug Sep Monday Feb 18 2013 9:28 PM 4 P. S k a n d s

  8. (mcplots.cern.ch) mcplots.cern.ch • Explicit tables of data & MC points • Run cards for each generator • Link to experimental reference paper • Steering file for plotting program • (Will also add link to RIVET analysis) 5

  9. What is Tuning? FSR pQCD Parameters α s (m Z ) The value of the strong coupling at the Z pole Governs overall amount of radiation α s Running Renormalization Scheme and Scale for α s 1- vs 2-loop running, MSbar / CMW scheme, µ R ~ p T2 Additional Matrix Elements included? Matching At tree level / one-loop level? Using what matching scheme? Ordering variable, coherence treatment, effective 1 → 3 (or 2 → 4), recoil strategy, … S u b l e a d i n g L o g s Branching Kinematics (z definitions, local vs global momentum conservation), hard parton starting scales / phase-space cutoffs, masses, non-singular terms, … 6 P. S k a n d s

  10. String Tuning Main String Parameters Longitudinal FF = f(z) Lund Symmetric Fragmentation Function The a and b parameters 2.0 2.0 2.0 1.5 1.5 1.5 1.5 1.5 1.5 1.0 1.0 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 0.5 0.5 0.2 0.2 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0 0.2 0.2 0.2 0.4 0.4 0.4 0.6 0.6 0.6 0.8 0.8 0.8 1.0 1.0 1.0 0.2 0.4 0.6 0.8 1.0 pT in string breaks Scale of string breaking process IR cutoff and <p T > in string breaks Mesons Meson Multiplets Strangeness suppression, Vector/Pseudoscalar, η , η ’, … Baryons B a r y o n M u l t i p l e t s Diquarks, Decuplet vs Octet, popcorn, junctions, … ? 7 P. S k a n d s

  11. Initial-State Radiaton Main ISR Parameters α s Value and running of the strong coupling Governs overall amount of radiation (cf FSR) Size of Phase Space Starting scale & Initial-Final interference Relation between Q PS and Q F (vetoed showers? cf matching) I-F colour-flow interference effects (cf ttbar asym) & interleaving Matching “ P r i m o r d i a l k T ” 8 P. S k a n d s

  12. Initial-State Radiaton Main ISR Parameters α s Value and running of the strong coupling Governs overall amount of radiation (cf FSR) Size of Phase Space Starting scale & Initial-Final interference Relation between Q PS and Q F (vetoed showers? cf matching) I-F colour-flow interference effects (cf ttbar asym) & interleaving Matching Additional Matrix Elements included? At tree level / one-loop level? What matching scheme? “ P r i m o r d i a l k T ” 8 P. S k a n d s

  13. Initial-State Radiaton Main ISR Parameters α s Value and running of the strong coupling Governs overall amount of radiation (cf FSR) Size of Phase Space Starting scale & Initial-Final interference Relation between Q PS and Q F (vetoed showers? cf matching) I-F colour-flow interference effects (cf ttbar asym) & interleaving Matching Additional Matrix Elements included? At tree level / one-loop level? What matching scheme? “ P r i m o r d i a l k T ” A small additional amount of “unresolved” kT Fermi motion + unresolved ISR emissions + low-x effects? 8 P. S k a n d s

  14. Min-Bias & Underlying Event Main IR Parameters Number of MPI Pedestal Rise Strings per Interaction 9 P. S k a n d s

  15. Min-Bias & Underlying Event Main IR Parameters Number of MPI Infrared Regularization scale for the QCD 2 → 2 (Rutherford) scattering used for multiple parton interactions (often called p T0 ) → size of overall activity Pedestal Rise Strings per Interaction 9 P. S k a n d s

  16. Min-Bias & Underlying Event Main IR Parameters Number of MPI Infrared Regularization scale for the QCD 2 → 2 (Rutherford) scattering used for multiple parton interactions (often called p T0 ) → size of overall activity Pedestal Rise Proton transverse mass distribution → difference betwen central (active) vs peripheral (less active) collisions Strings per Interaction 9 P. S k a n d s

  17. Min-Bias & Underlying Event Main IR Parameters Number of MPI Infrared Regularization scale for the QCD 2 → 2 (Rutherford) scattering used for multiple parton interactions (often called p T0 ) → size of overall activity Pedestal Rise Proton transverse mass distribution → difference betwen central (active) vs peripheral (less active) collisions Strings per Color correlations between multiple-parton-interaction Interaction systems → shorter or longer strings → less or more hadrons per interaction 9 P. S k a n d s

  18. Min-Bias & Underlying Event Main IR Parameters Number of MPI Infrared Regularization scale for the QCD 2 → 2 (Rutherford) scattering used for multiple parton interactions (often called p T0 ) → size of overall activity Pedestal Rise Proton transverse mass distribution → difference betwen central (active) vs peripheral (less active) collisions Strings per Color correlations between multiple-parton-interaction Interaction systems → shorter or longer strings → less or more hadrons per interaction 9 P. S k a n d s

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