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VINCIA

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Title: VINCIA


1
VINCIA
Les Houches 2007
  • Peter Skands
  • Fermilab / Particle Physics Division /
    Theoretical Physics
  • In collaboration with W. Giele, D. Kosower

2
Aims
  • Wed like a simple formalism for parton showers
    that allows
  • Including systematic uncertainty estimates
  • Combining the virtues of CKKW (LO matching with
    arbitrarily many partons) with those of MC_at_NLO
    (NLO matching)
  • We have done this by expanding on the ideas of
    Frixione, Nason, and Webber (MC_at_NLO), but with a
    few substantial generalizations

3
Improved Parton Showers
  • Step 1 A comprehensive look at the uncertainty
    (here PS _at_ LL)
  • Vary the evolution variable ( factorization
    scheme)
  • Vary the radiation function (finite terms not
    fixed)
  • Vary the kinematics map (angle around axis perp
    to 2?3 plane in CM)
  • Vary the renormalization scheme (argument of as)
  • Vary the infrared cutoff contour (hadronization
    cutoff)
  • Step 2 Systematically improve on it
  • Understand how each variation could be cancelled
    when
  • Matching to fixed order matrix elements
  • Higher logarithms are included
  • Step 3 Write a generator
  • Make the above explicit (while still tractable)
    in a Markov Chain context ? matched parton shower
    MC algorithm

Subject of this talk
4
The Pure Shower Chain
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • Shower-improved ( resummed) distribution of an
    observable
  • Shower Operator, S (as a function of (invariant)
    time t1/Q)
  • n-parton Sudakov
  • Focus on dipole showers

5
VINCIA
VIRTUAL NUMERICAL COLLIDER WITH INTERLEAVED
ANTENNAE
Giele, Kosower, PS FERMILAB-PUB-07-160-T
Gustafson, Phys. Lett. B175 (1986) 453
  • VINCIA Dipole shower
  • C code for gluon showers
  • Standalone since half a year
  • Plug-in to PYTHIA 8 (C PYTHIA) since a month
  • Most results presented here use the plug-in
    version
  • So far
  • 2 different shower evolution variables
  • pT-ordering ( ARIADNE, PYTHIA 8)
  • Virtuality-ordering ( PYTHIA 6, SHERPA)
  • For each an infinite family of antenna
    functions
  • shower functions leading singularities plus
    arbitrary polynomials (up to 2nd order in sij)
  • Shower cutoff contour independent of evolution
    variable
  • ? IR factorization universal
  • Phase space mappings 3 different choices
    implemented
  • ARIADNE angle, Emitter Recoiler, or DAK (
    ultimately smooth interpolation?)

1
Dipoles a dual description of QCD
2
3
Lonnblad, Comput. Phys. Commun. 71 (1992) 15.
6
Dipole-Antenna Functions
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • Starting point de-Ridder-Gehrmann-Glover ggg
    antenna functions
  • Generalize to arbitrary finite terms
  • ? Can make shower systematically softer or
    harder
  • Will see later how this variation is explicitly
    canceled by matching
  • ? quantification of uncertainty
  • ? quantification of improvement by matching

Gehrmann-De Ridder, Gehrmann, Glover, JHEP 09
(2005) 056
yar sar / si
si invariant mass of ith dipole-antenna
7
Checks Analytic vs Numerical vs Splines
  • Calculational methods
  • Analytic integration over resolved region (as
    defined by evolution variable) obtained by
    hand, used for speed and cross checks
  • Numeric antenna function integrated directly (by
    nested adaptive gaussian quadrature) ? can put in
    any function you like
  • In both cases, the generator constructs a set of
    natural cubic splines of the given Sudakov
    (divided into 3 regions linearly in QR coarse,
    fine, ultrafine)
  • Test example
  • Precision target 10-6
  • gg?ggg Sudakov factor (with nominal as unity)

pT-ordered Sudakov factor
  • gg?ggg ?(s,Q2)
  • Analytic
  • Splined

VINCIA 0.010 (Pythia8 plug-in version)
Ratios
Spline off by a few per mille at scales
corresponding to less than a per mille of all
dipoles ? global precision ok 10-6
Numeric / Analytic Spline (3x1000 points) /
Analytic
(a few experiments with single double
logarithmic splines ? not huge success. So far
linear ones ok for desired speed precision)
8
Why Splines?
Numerically integrate the antenna function (
branching probability) over the resolved 2D
branching phase space for every single Sudakov
trial evaluation
  • Example mH 120 GeV
  • H?gg shower
  • Shower start 120 GeV. Cutoff 1 GeV
  • Speed (2.33 GHz, g on cygwin)
  • Tradeoff small downpayment at initialization ?
    huge interest later v.v.
  • (If you have analytic integrals, thats great,
    but must be hand-made)
  • Aim to eventually handle any function region ?
    numeric more general

Have to do it only once for each spline point
during initialization
Initialization (PYTHIA 8 VINCIA) 1 event
Analytic, no splines 2s (lt 10-3s ?)
Analytic splines 2s lt 10-3s
Numeric, no splines 2s 6s
Numeric splines 50s lt 10-3s
9
Matching
  • X matched to n resolved partons at leading order
    and m lt n at next-to-leading order should
    fulfill

Resolved with respect to the infrared
(hadronization) shower cutoff
Giele, Kosower, PS FERMILAB-PUB-07-160-T
Fixed Order
Matched shower (NLO)
LO matching term for Xk
NLO matching term for Xk
10
Matching to X1 at LO
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • First order real radiation term from parton
    shower
  • Matrix Element (X1 at LO above thad)
  • ? Matching Term
  • ? variations (or dead regions) in a2 canceled
    by matching at this order
  • (If a too hard, correction can become negative
    ? constraint on a)
  • Subtraction can be automated from ordinary
    tree-level MEs
  • no dependence on unphysical cut or
    preclustering scheme (cf. CKKW)
  • - not a complete order normalization changes (by
    integral of correction), but still LO

11
Matching to X at NLO
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • NLO virtual term from parton shower ( expanded
    Sudakov exp1 - )
  • Matrix Element
  • Have to be slightly more careful with matching
    condition (include unresolved real radiation) but
    otherwise same as before
  • May be automated using complex momenta, and a2
    not shower-specific
  • Currently using Gehrmann-Glover (global) antenna
    functions
  • Will include also Kosowers (sector) antenna
    functions (only ever one dipole contributing to
    each PS point ? shower unique and exactly
    invertible)

Tree-level matching just corresponds to using zero
  • (This time, too small a ? correction negative)

12
Matching to X2 at LO
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • Adding more tree-level MEs is (pretty)
    straightforward
  • Example second emission term from NLO matched
    parton shower
  • Must be slightly careful unsubtracted subleading
    logs be here
  • Formally subtract them? Cut them out with a pT
    cut? Smooth alternative kill them using the
    Sudakov?
  • But note this effect is explicitly NLL (cf.
    CKKW)

?
Matching equation looks identical to 2 slides ago
? If all indices had been shown sub-leading
colour structures not derivable by nested 2?3
branchings do not get subtracted
13
Going deeper?
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • NLL Sudakov with 2?4
  • B terms should be LL subtracted (LL matched) to
    avoid double counting
  • No problem from matching point of view
  • Could also imagine higher-order coherence by
    higher multipoles

6D branching phase space more tricky
14
Universal Hadronization
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • Sometimes talk about plug-and-play
    hadronization
  • This generally leads to combinations of frowns
    and ticks showers are (currently) intimately
    tied to their hadronization models, fitted
    together
  • Liberate them
  • Choose IR shower cutoff (hadronization cutoff) to
    be universal and independent of the shower
    evolution variable
  • E.g. cut off a pT-ordered shower along a contour
    of constant m2
  • This cutoff should be perceived as part of the
    hadronization model.
  • Can now apply the same hadronization model to
    another shower
  • Good up to perturbative ambiguities
  • Especially useful if you have several infinite
    families of parton showers

15
Sudakov vs LUCLUS pT
Giele, Kosower, PS FERMILAB-PUB-07-160-T
2-jet rate vs PYCLUS pT ( LUCLUS
JADE) Preliminary!
Vincia hard soft Vincia nominal Pythia8
Same variations
16
VINCIA Example H ? gg ? ggg
Giele, Kosower, PS FERMILAB-PUB-07-160-T
  • First Branching first order in perturbation
    theory
  • Unmatched shower varied from soft to hard
    soft shower has radiation hole. Filled in by
    matching.

Outlook Immediate Future Paper about gluon
shower Include quarks ? Z decays Automated
matching Then Initial State Radiation Hadron
collider applications
VINCIA 0.008 Unmatched soft A2
VINCIA 0.008 Matched soft A2
y23
y23
radiation hole in high-pT region
y23
y23
VINCIA 0.008 Unmatched hard A2
VINCIA 0.008 Matched hard A2
y12
y12
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