Tools and Monte Carlo Session 1 (SM)

From Wiki Les Houches 09

(Difference between revisions)
Jump to: navigation, search
(Systematic Evaluation of Errors on tunes)
(Systematic Evaluation of Errors on tunes)
Line 18: Line 18:
Professor is a MC tuning tool, developed in Python as a set of command line programs and an underlying library. The Rivet toolkit is used to generate MC data and retrieve experimental reference data.
Professor is a MC tuning tool, developed in Python as a set of command line programs and an underlying library. The Rivet toolkit is used to generate MC data and retrieve experimental reference data.
-
== Systematic Evaluation of Errors on tunes ==
+
== [[Systematic Evaluation of Errors on tunes]] ==
-
* Can we define regions of validity for the physics implemented in the MC? e.g. What about small x, high rapidity effects
+
The title is a link.
-
 
+
-
* Can we obtain credible uncertainty bands with existing tools, or are new methods needed
+
-
 
+
-
There is a need for some quantification of uncertainties, both from the point of view of learning about the physics in the MC models, and because such uncertainties have an impact on experimental uncertainties (in much the same was as the PDF uncertainties do).
+
-
 
+
-
* The Peruguia tunes by Peter, which have errors bands, are the first real attempt at this. See [http://www.slac.stanford.edu/spires/find/hep/www?eprint=arXiv:0905.3418 this write up].
+
-
 
+
-
*[http://www.slac.stanford.edu/spires/find/hep/www?eprint=arXiv:0902.4403 Professor] is a good tool to sysematise this further.
+
-
 
+
-
=== Some points from the discussions and possibilties for future work: ===
+
-
 
+
-
Distinguish between (1) uncertainties of the parameters ''within a particular model'', and (2) physics uncertainties based on our real knowledge of physics.
+
-
 
+
-
(1) Would be a very good start and is to some extent already done in the Perguia pythia 6 tunes, where eg. variations due to PDFs, scales in QCD radiation, energy scaling etc are varied separately.
+
-
 
+
-
(2) Is more difficult, but can be approached by for instance constraining FSR and hadronisation from e+e- data, then ISR from ep data, then underlying event etc from hadron collisions. This is along the lines of the approach taken in professor. Professor could also to some extent automate (1).
+
-
 
+
-
However, these methods will always require intelligent physics input, and selection of datasets, interpretation of chi2 etc are a matter of judgement, which will vary but can always at least be described so the the exercise is repeatable.
+
-
 
+
-
Choosing/weighting different datasets depending upon what a tune is to be used for is also likely to be interesting.
+
-
 
+
-
Should try to produce a brief summary of some guidelines for evaluating tunes and their uncertainites.
+
-
 
+
-
Take an example, probably the energy extrapolation of underlying event, and evaluate the uncertainty band. Maybe examine the effect of (pseudo) LHC data. Peter Skands, Andy Buckley, Matt Schwartz +....
+
== [[Important data sets for tuning]] ==
== [[Important data sets for tuning]] ==

Revision as of 10:24, 15 June 2009

Conveners present: Peter Skands, Fabio Maltoni, Jon Butterworth
(Click here for Tools and Monte Carlo Session 2 (BSM))

Contents

Tuning

Validity of tunes and Uncertainty Bands

Automated Tuning: Rivet & Professor

Toolkit for validation of Monte Carlo event generators. Using an computationally efficient model for observable computations, Rivet provides a set of experimental analyses useful for generator sanity checks, as well as a convenient infrastructure for adding your own analyses. Rivet's design emphasises the separation between HepMC records and where they came from, allowing it to be a completely cross-generator validation platform. Rivet 1.1.3 was just released (9 June).

A rivet tutorial (Andy Buckley) was given 16:00 Thursday in the QCD room.

Professor is a MC tuning tool, developed in Python as a set of command line programs and an underlying library. The Rivet toolkit is used to generate MC data and retrieve experimental reference data.

Systematic Evaluation of Errors on tunes

The title is a link.

Important data sets for tuning

Follow the link above.

Multiple Parton Interactions

  • W+jets from MPI (E. Maina, R. Chierici, S. Plaetzer, P. Skands, K. Mazumdar, S.Gieseke)

Tuning in the presence of matching

Follow the link above.

Model (in)dependence in Data/Theory Comparisons

Fast Detector Simulation Specification and Usage

This is joint with Session 2; see also: Tools_and_Monte_Carlo_Session_2_(BSM)#Detector_simulation_.28with_Session_1.29

Data Correction and Unfolding

Matching

Projects at Les Houches

  • A Collection of Matching Benchmarks
    • So far declared interest: F. Maltoni, P. Skands, S. Hoeche, K. Hamilton, S. Plaetzer, S. Mrenna, L. Lonnblad, P. Francavilla, J. Winter, M. Schwarz, P. Lenzi...
    • Overview of systematic studies so far (Z/W+jets, ttbar, Z->qqbar)
    • Why it's not a complete set
      • gg initial states (Higgs, with NLM Higgs)
      • gluon splitting (Zbbbar, Wbbbar) (G. Piacquadio)
      • distinguish between W+ and W- at LHC
      • QCD n-jets (P. Francavilla)
      • New Physics Benchmarks?
    • Comparison of NLO (e.g., MCFM, MC@NLO, POWHEG) with tree-level calculations (e.g., Madgraph, Alpgen, with and without showers) (e.g., for Higgs) (J. Winter, P. Lenzi)
    • Pathological Observables / Theory Tests : (P. Skands, S. Weinzierl, S. Plaetzer, K. Hamilton, M. Schwarz, ...)
      • To test Higher-Order/Higher-Log properties of matching
      • To test Coherence/Subleadling-Logs dependence on Shower Model (new PS models)
    • Complete set of observables? (not only pT and rapidity, but jet-jet correlations, jet masses, jet-jet Delta(R), etc)
    • Sensitivity to tuning (with Tuning subgroup)
  • QED/EW ME/PS Matching
    • So far declared interest: S. Gascon, F. Piccinini, C. Baty, S. Ferrag, K. Mazumdar...
  • LHEF for Matching
    • So far declared interest: L. Lonnblad, T. Sjostrand, F. Maltoni, S. Platzer, S. Hoeche, K. Hamilton, A. Buckley, J. Huston...
    • Possible to agree on Standard for describing, in Les Houches Event Files, properties and cuts used in ME generation that subsequent matching steps based on jet clustering would need to know about?
    • Possibly including NLO
  • Automated ME/PS merging
    • So far declared interest: S. Mrenna, P. Skands, S. Hoeche, K. Hamilton, S. Plaetzer
    • Automating 1st-order correction factors for showers from automatic evaluation of |M(X+1)|^2/|M(X)|^2 from an ME generator.
    • Automated merging for BSM (with session 2)
  • Discussion on MC Uncertainties (with EX/TH and tuning subgroups)
    • Theoretical: uncertainty bands, errors
    • Specifically for matching and matching procedures
    • Experimental: contraints, validation, tuning uncertainties
    • Technical: usage and design
    • Uncertainty bands for Monte Carlos
    • So far declared interest: S. Mrenna, R. Chierici, F. Maltoni, P. Skands
  • NLO Matching Discussion
    • Multileg matching at NLO, state of the field
    • What is needed for automating NLO matching?

Matching Beyond Fixed Orders

That title is a link.

Wbb in the high pT HW region

That title is a link.

Parton Densities

PDFs in Monte Carlos

  • Exploring the LO* PDFs, are we ready to use them for production?
  • Uncertainty Bands for the LO* PDFs
  • PDFs and their interaction with MC tuning
  • Pythia 8 - Advantages/disadvantages of using one PDF for hard scattering ME (best cross section?) and another for evolution (universal tuning?)

Beyond LO*

  • Are PDFs ready for NLO/Multileg WG?
  • Electroweak and QCD in PDFs
  • BSM effects in PDFs (with Session 2)

Heavy quark PDF's

  • HQ initiated processes vis-a-vis latest implementation of HQ PDF's(Session 1)

Jet Physics

For discussion of calibration and truth level, see the session on Data/Theory comparison Tools_and_Monte_Carlo_Session_1_(SM)#Data_Correction_and_Unfolding

A very recent pedagogical review of jets, new algorithms and substructure.

Jet Substructure

Boosted hadronic decays of massive particles (W,Z,Top,H,BSM..., with session 2) and jet mass/shape studies with QCD jets in early data.

The title above is a link.

Study of radiation between jets, for colour singlet and colour octet exchange

The title above is a link.


Standard Processes for Early LHC Data (Joint with NLO/Multileg)

In the introduction session, the proposal was made that some standard processes should be listed, and in additona a subset of these should followed through the various MC and NLM sessions, to review the impact of the various issues ((N)NLO, Matching, PDFs, jet definition, EW corrections...) on the process. This is probably a cross-group activity which should be migrated to a separate page but is here for now as a reminder.

List based on my poor memory, to be amended...

  • Drell-Yan (Samir Ferrag...)
  • ttbar (Kajari Mazumdar, Rohini Godbole...)
  • W/Z ratios etc (Bruce Mellado...)
Personal tools