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Towards Precision Models of Collider Physics

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Title: Towards Precision Models of Collider Physics


1
Towards Precision Models of Collider Physics
Harvard U, Mar 17 2009
2
QuantumChromoDynamics
  • Main Tool Matrix Elements calculated in
    fixed-order perturbative quantum field theory
  • Example

High transverse-momentum interaction
Reality is more complicated
3
Particle Production
  • Starting point matrix element parton shower
  • hard parton-parton scattering
  • (normally 2?2 in MC)
  • bremsstrahlung associated with it
  • ? 2?n in (improved) LL approximation

ISR
FSR

FSR
  • But hadrons are not elementary
  • QCD diverges at low pT
  • ? multiple perturbative parton-parton collisions

QF
QF gtgt ?QCD
e.g. 4?4, 3? 3, 3?2
  • No factorization theorem
  • Herwig, Pythia, Sherpa MPI models

4
Particle Production
Stuff at QF ?QCD
QF gtgt ?QCD MEISR/FSR perturbative MPI
  • Hadronization
  • Remnants from the incoming beams
  • Additional (non-perturbative / collective)
    phenomena?
  • Bose-Einstein Correlations
  • Non-perturbative gluon exchanges / color
    reconnections ?
  • String-string interactions / collective
    multi-string effects ?
  • Plasma effects?
  • Interactions with background vacuum, remnants,
    or active medium?

ISR
FSR

FSR
QF
Need-to-know issues for IR sensitive quantities
(e.g., Nch)
5
Factorization, Infrared Safety, and Unitarity
  • Do we really need to calculate all of this?
  • These Things
  • Are Your Friends
  • IR Safety guarantees non-perturbative (NP)
    corrections suppressed by powers of NP scale
  • Factorization allows you to sum inclusively
    over junk you dont know how to calculate
  • Unitarity allows you to estimate things you
    dont know from things you know (e.g., loop
    singularities - tree ones P(fragmentation)
    1, )

Hadron Decays
Non-perturbative hadronisation, color
reconnections, beam remnants, strings,
non-perturbative fragmentation functions,
charged/neutral ratio, baryons, strangeness...
Soft Jets and Jet Structure Bremsstrahlung,
underlying event (multiple perturbative parton
interactions more?), semi-hard brems jets, jet
broadening,
Exclusive
Width
My Resonance Mass
Hard Jet Tail High-pT jets at large angles
Inclusive
s
  • Un-Physical Scales
  • QF , QR Factorization(s) Renormalization(s)
  • QE Evolution(s)

6
Three Ways To High Precision
7
The Way of the Chicken
  • Who needs QCD? Ill use leptons
  • Sum inclusively over all QCD
  • Leptons almost IR safe by definition
  • WIMP-type DM, Z, EWSB ? may get some leptons
  • Beams hadrons for next decade (RHIC / Tevatron
    / LHC)
  • At least need well-understood PDFs
  • High precision higher orders ? enter QCD
  • Isolation ? indirect sensitivity to dirt
  • Fakes ? indirect sensitivity to dirt
  • Not everything gives leptons
  • Need to be a lucky chicken
  • The unlucky chicken
  • Put all its eggs in one basket and didnt solve
    QCD

8
The Way of the Fox
  • Ill use semi-inclusive observables
  • Sum inclusively over the worst parts of QCD
  • Still need to be friends with IR safety ? jet
    algs
  • FASTJET
  • Beams hadrons for next decade (RHIC / Tevatron
    / LHC)
  • Still need well-understood PDFs
  • High precision more higher orders ? more QCD
  • Large hierarchies (s, m1, m2, pTjet1, pTjet2, )
    ? Careful !
  • Huge jet rate enhancements perturbative series
    blows up
  • ? cannot truncate at any fixed order
  • For 600 GeV particles, a 100 GeV jet can be
    soft
  • Use infinite-order approximations parton
    showers
  • Only LL ? not highly precise only good when
    everything is hierarchical
  • Need to combine with explicit matrix elements ?
    matching (more later)
  • Still, non-factorizable non-pert corrections
    set an ultimate limit

FASTJET
Cacciari, Salam, Soyez JHEP 0804(2008)063
Cone ? anti-kT IR safe cone
Plehn, Rainwater, PS PLB645(2007)217
Plehn, Tait 0810.2919 hep-ph
Alwall, de Visscher, Maltoni JHEP 0902(2009)017
9
Now Hadronize This
Simulation from D. B. Leinweber, hep-lat/0004025
gluon action density 2.4 x 2.4 x 3.6 fm
10
The Way of the Ox
  • Calculate Everything solve QCD ? requires
    compromise
  • Improve Born-level perturbation theory, by
    including the most significant corrections ?
    complete events ? any observable you want
  1. Parton Showers
  2. Matching
  3. Hadronisation
  4. The Underlying Event
  1. Soft/Collinear Logarithms
  2. Finite Terms, K-factors
  3. Power Corrections (more if not IR safe)
  4. ?

roughly
( many other ingredients resonance decays, beam
remnants, Bose-Einstein, )
Asking for complete events is a tall order
11
Solving QCD Part 1 Bremsstrahlung
12
(Bremsstrahlung Example SUSY _at_ LHC)
  • Naively, brems suppressed by as 0.1
  • Truncate at fixed order LO, NLO,
  • However, if ME gtgt 1 ? cant truncate!
  • Example SUSY pair production at 14 TeV, with
    MSUSY 600 GeV
  • Conclusion 100 GeV can be soft at the LHC
  • Matrix Element (fixed order) expansion breaks
    completely down at 50 GeV
  • With decay jets of order 50 GeV, this is
    important to understand and control

Plehn, Rainwater, PS PLB645(2007)217
Plehn, Tait 0810.2919 hep-ph
Alwall, de Visscher, Maltoni JHEP 0902(2009)017
13
Beyond Fixed Order 1
DLA
a sab saisib
  • dsX
  • dsX1 dsX g2 2 sab /(sa1s1b) dsa1ds1b
  • dsX2 dsX1 g2 2 sab/(sa2s2b) dsa2ds2b
  • dsX3 dsX2 g2 2 sab/(sa3s3b) dsa3ds3b

dsX
dsX1
dsX2
This is an approximation of inifinite-order
tree-level cross sections
14
Beyond Fixed Order 2
DLA
a sab saisib
  • dsX
  • dsX1 dsX g2 2 sab /(sa1s1b) dsa1ds1b
  • dsX2 dsX1 g2 2 sab/(sa2s2b) dsa2ds2b
  • dsX3 dsX2 g2 2 sab/(sa3s3b) dsa3ds3b
  • Unitarisation stot int(dsX)
  • ? sXexcl sX - sX1 - sX2 -

dsX
dsX1
dsX2
Given a jet definition, an event has either 0,
1, 2, or jets
  • Interpretation the structure evolves! (example
    X 2-jets)
  • Take a jet algorithm, with resolution measure
    Q, apply it to your events
  • At a very crude resolution, you find that
    everything is 2-jets
  • At finer resolutions ? some 2-jets migrate ?
    3-jets sX1(Q) sXincl sXexcl(Q)
  • Later, some 3-jets migrate further, etc ? sXn(Q)
    sXincl ?sXmltnexcl(Q)
  • This evolution takes place between two scales,
    Qin s and Qend Qhad
  • sXtot Sum (sX0,1,2,3,excl ) int(dsX)

15
LL Shower Monte Carlos
  • Arbitrary Process X

O Observable p momenta wX MX2 or
KMX2 S Evolution operator
Leading Order
Pure Shower (all orders)
  • Evolution Operator, S
  • Evolves phase space point X ?
  • As a function of time t1/Q
  • Observable is evaluated on final configuration
  • S unitary (as long as you never throw away or
    reweight an event)
  • ? normalization of total (inclusive) s unchanged
    (sLO, sNLO, sNNLO, sexp, )
  • Only shapes are predicted (i.e., also s after
    shape-dependent cuts)
  • Can expand S to any fixed order (for given
    observable)
  • Can check agreement with ME
  • Can do something about it if agreement less than
    perfect reweight or add/subtract

16
S (for Shower)
  • Evolution Operator, S (as a function of time
    t1/Q)
  • Defined in terms of ?(t1,t2) (Sudakov)
  • The integrated probability the system does not
    change state between t1 and t2
  • NB Will not focus on where ? comes from here,
    just on how it expands
  • Generating function for parton shower Markov
    Chain

A splitting function
17
Controlling the Calculation
  • In the previous slide, you saw many dependencies
    on things not traditionally found in
    matrix-element calculations
  • The final answer will depend on
  • The choice of shower evolution time
  • The splitting functions (finite terms not fixed)
  • The phase space map (recoils, dFn1/dFn )
  • The renormalization scheme (vertex-by-vertex
    argument of as)
  • The infrared cutoff contour (hadronization
    cutoff)
  • Matching prescription and matching scales

Variations ? Comprehensive uncertainty estimates
(showers with uncertainty bands)
Matching to MEs ( NnLL?) ? Reduced Dependence
(systematic reduction of uncertainty)
18
Matching ?
  • A (Complete Idiots) Solution Combine
  • XME showering
  • X 1 jetME showering
  • Doesnt work
  • X shower is inclusive
  • X1 shower is also inclusive

Run generator for X ( shower) Run generator for
X1 ( shower) Run generator for (
shower) Combine everything into one sample
What you get
What you want
Overlapping bins
One sample
19
The Matching Game
  • XME shower already contains sing X n
    jetME
  • So we really just missed the non-LL bits, not the
    entire ME!
  • Adding full X n jetME is overkill? LL
    singular terms are double-counted
  • Solution 1 work out the difference and correct
    by that amount
  • ? add shower-subtracted matrix elements
  • Correction events with weights wn X n
    jetME Showerwn-1,2,3,..
  • I call these matching approaches additive
  • Herwig, CKKW, MLM, ARIADNE MC_at_NLO
  • Solution 2 work out the ratio between PS and ME
  • ? multiply shower kernels by that ratio (lt 1 if
    shower is an overestimate)
  • Correction factor on nth emission Pn X n
    jetME / ShowerXn-1 jetME
  • I call these matching approaches multiplicative
  • Pythia, POWHEG, VINCIA

Seymour, CPC90(1995)95
many more recent
Sjöstrand, Bengtsson NPB289(1987)810
PLB185(1987)435
one or two more recent
20
(NLO with Addition)
Multiplication at this order ? a, ß 0 (POWHEG
)
  • First Order Shower expansion

PS
Unitarity of shower ? 3-parton real 2-parton
virtual
  • 3-parton real correction (A3 M32/M22
    finite terms a, ß)

Finite terms cancel in 3-parton O
  • 2-parton virtual correction (same example)

Finite terms cancel in 2-parton O (normalization)
21
VINCIA
VIRTUAL NUMERICAL COLLIDER WITH INTERLEAVED
ANTENNAE
Gustafson, PLB175(1986)453 Lönnblad (ARIADNE),
CPC71(1992)15. Azimov, Dokshitzer, Khoze, Troyan,
PLB165B(1985)147 Kosower PRD57(1998)5410
Campbell,Cullen,Glover EPJC9(1999)245
  • Based on Dipole-Antennae
  • Shower off color-connected pairs of partons
  • Plug-in to PYTHIA 8 (C)
  • So far
  • Choice of evolution time
  • pT-ordering
  • Dipole-mass-ordering
  • Thrust-ordering
  • Splitting functions
  • QCD arbitrary finite terms (Taylor series)
  • Phase space map
  • Antenna-like or Parton-shower-like
  • Renormalization scheme ( µR evolution scale,
    pT, s, 2-loop, )
  • Infrared cutoff contour (hadronization cutoff)
  • Same options as for evolution time, but
    independent of time ? universal choice

Dipoles (Antennae, not CS) a dual description
of QCD
a
r
b
Giele, Kosower, PS PRD78(2008)014026 Les
Houches NLM 2007
22
VINCIA in Action
VIRTUAL NUMERICAL COLLIDER WITH INTERLEAVED
ANTENNAE
  • Can vary
  • evolution variable, kinematics maps, radiation
    functions, renormalization choice, matching
    strategy (here just varying splitting functions)
  • At Pure LL,
  • can definitely see a non-perturbative correction,
    but hard to precisely constrain it

Parton-level
Hadron-level
Giele, Kosower, PS PRD78(2008)014026 Les
Houches NLM 2007
23
VINCIA in Action
VIRTUAL NUMERICAL COLLIDER WITH INTERLEAVED
ANTENNAE
  • Can vary
  • evolution variable, kinematics maps, radiation
    functions, renormalization choice, matching
    strategy (here just varying splitting functions)
  • At Pure LL,
  • can definitely see a non-perturbative correction,
    but hard to precisely constrain it

Parton-level
Hadron-level
Giele, Kosower, PS PRD78(2008)014026 Les
Houches NLM 2007
24
VINCIA in Action
VIRTUAL NUMERICAL COLLIDER WITH INTERLEAVED
ANTENNAE
  • Can vary
  • evolution variable, kinematics maps, radiation
    functions, renormalization choice, matching
    strategy (here just varying splitting functions)
  • After 2nd order matching
  • Non-pert part can be precisely constrained.
  • (will need 2nd order logs as well for full
    variation)

Parton-level
Hadron-level
Giele, Kosower, PS PRD78(2008)014026 Les
Houches NLM 2007
25
Solving QCD Part 2 Underlying Event
26
Naming Conventions
See also Tevatron-for-LHC Report of the QCD
Working Group, hep-ph/0610012
Some freedom in how much particle production is
ascribed to each hard vs soft models
  • Many nomenclatures being used.
  • Not without ambiguity. I use

Qcut

ISR
FSR

FSR

Qcut
Multiple Parton Interactions (MPI)
Beam Remnants
Primary Interaction ( trigger)
Underlying Event (UE)
Note each is colored ? Not possible to separate
clearly at hadron level
Inelastic, non-diffractive
27
(Why Perturbative MPI?)
  • Analogue Resummation of multiple bremsstrahlung
    emissions
  • Divergent s for one emission (X jet,
    fixed-order)
  • Finite s for divergent number of jets (X jets,
    infinite-order)
  • N(jets) rendered finite by finite perturbative
    resolution parton shower cutoff

Bahr, Butterworth, Seymour arXiv0806.2949 hep-p
h
  • (Resummation of) Multiple Perturbative
    Interactions
  • Divergent s for one interaction (fixed-order)
  • Finite s for divergent number of interactions
    (infinite-order)
  • N(jets) rendered finite by finite perturbative
    resolution

28
The Interleaved Idea
New Pythia model
Fixed order matrix elements
Parton Showers (matched to further Matrix
Elements)
  • Underlying Event
  • (note interactions correllated in colour
    hadronization not independent)

multiparton PDFs derived from sum rules
perturbative intertwining?
Beam remnants Fermi motion / primordial kT
Sjöstrand PS JHEP03(2004)053, EPJC39(2005)129
29
Underlying Event and Color
  • Min-bias data at Tevatron showed a surprise

Not only more (charged particles), but each one
is harder
  • Charged particle pT spectra were highly
    correlated with event multiplicity not expected
  • For his Tune A, Rick Field noted that a high
    correlation in color space between the different
    MPI partons could account for the behavior
  • But needed 100 correlation. So far not
    explained
  • Virtually all tunes now employ these more
    extreme correlations
  • But existing models too crude to access detailed
    physics
  • What is their origin? Why are they needed?

Tevatron Run II Pythia 6.2 Min-bias ltpTgt(Nch)
Tune A
Diffractive?
old default
Non-perturbative ltpTgt component in string
fragmentation (LEP value)
Central Large UE
Peripheral Small UE
Successful models string interactions (area law)
Solving QCD Part 3 Hadronization
PS D. Wicke EPJC52(2007)133 J. Rathsman
PLB452(1999)364
30
Perugia Models
  • Huge model building and tuning efforts by many
    groups (Herwig, Professor, Pythia, Sherpa, )
  • Summarized at a recent workshop on MPI in Perugia
    (Oct 2008)
  • For Pythia (PYTUNE), 6.4.20 now out ? Perugia
    and Professor tunes
  • Scaling to LHC much better constrained,
    HARD/SOFT, CTEQ6, LO
  • TeV-1960, TeV-1800, TeV-630, (UA5-900, UA5-546,
    UA5-200)

(stable particle definition ct 10mm)
31
Perugia Models
  • Huge model building and tuning efforts by many
    groups (Herwig, Professor, Pythia, Sherpa, )
  • Summarized at a recent workshop on MPI in Perugia
    (Oct 2008)
  • For Pythia (PYTUNE), 6.4.20 now out ? Perugia
    and Professor tunes
  • Scaling to LHC much better constrained,
    HARD/SOFT, CTEQ6, LO
  • TeV-1960, TeV-1800, TeV-630, (UA5-900, UA5-546,
    UA5-200)

(stable particle definition ct 10mm)
32
Perugia Models
? Aspen Predictions
? lt 2.5 pT gt 0.5 GeV LHC 10 TeV
(min-bias) ltNtracksgt 12.5 1.5 LHC 14 TeV
(min-bias) ltNtracksgt 13.5 1.5
1.8 lt ? lt 4.9 pT gt 0.5 GeV LHC 10 TeV
(min-bias) ltNtracksgt 6.0 1.0 LHC 14 TeV
(min-bias) ltNtracksgt 6.5 1.0
(stable particle definition ct 10mm)
33
Conclusions
  • QCD Phenomenology is in a state of impressive
    activity
  • Increasing move from educated guesses to
    precision science
  • Better matrix element calculatorsintegrators (
    more user-friendly)
  • Improved parton showers and improved matching to
    matrix elements
  • Improved models for underlying events / minimum
    bias
  • Upgrades of hadronization and decays
  • Clearly motivated by dominance of LHC in the next
    decade(s) of HEP
  • Early LHC Physics theory
  • At 14 TeV, everything is interesting
  • Even if not a dinner Chez Maxim, rediscovering
    the Standard Model is much more than bread and
    butter
  • Real possibilities for real surprises
  • It is both essential, and I hope possible, to
    ensure timely discussions on non-classified
    data, such as min-bias, dijets, Drell-Yan, etc ?
    allow rapid improvements in QCD modeling (beyond
    simple retunes) after startup

34
Classic Example Number of tracks
UA5 _at_ 540 GeV, single pp, charged multiplicity in
minimum-bias events
Simple physics models Poisson Can tune to get
average right, but much too small fluctuations ?
inadequate physics model
More Physics Multiple interactions
impact-parameter dependence
  • Moral (will return to the models later)
  • It is not possible to tune anything better than
    the underlying physics model allows
  • Failure of a physically motivated model usually
    points to more physics (interesting)
  • Failure of a fit not as interesting

35
The Underlying Event and Color
  • The colour flow determines the hadronizing string
    topology
  • Each MPI, even when soft, is a color spark
  • Final distributions crucially depend on color
    space

Note this just color connections, then there may
be color reconnections too
36
The Underlying Event and Color
  • The colour flow determines the hadronizing string
    topology
  • Each MPI, even when soft, is a color spark
  • Final distributions crucially depend on color
    space

Note this just color connections, then there may
be color reconnections too
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