Syddansk Universitet Odense, Denmark 27 - 28 March 2008
Event Generators for LHC
Torbj ¨orn Sj ¨ostrand
Lund University
1. (yesterday) Introduction and Overview;
Parton Showers; Matching Issues 2. (today) Multiple Interactions;
Hadronization; Generators & Conclusions
Multiple Interactions
What is multiple interactions?
Cross section for 2 → 2 interactions is dominated by t-channel gluon exchange, so diverges like dσ/dp
2⊥≈ 1/p
4⊥for p
⊥→ 0.
integrate QCD 2 → 2
qq → q
0q
0qq → gg qg → qg gg → gg gg → qq
with CTEQ 5L PDF’s
0.010.1 1 10 100 1000 10000
0 5 10 15 20 25 30 35 40 45 50
sigma (mb)
pTmin (GeV)
Integrated cross section above pTmin for pp at 14 TeV jet cross section total cross section
So σ int (p ⊥min ) > σ tot for p ⊥min ∼ 5 < GeV
Half a solution: many interactions per event σ
tot=
∞ X
n=0
σ
nσ
int=
∞ X
n=0
n σ
nσ
int> σ
tot⇐⇒ hni > 1
n P
nhni = 2
0 1 2 3 4 5 6 7
If interactions occur independently then Poissonian statistics
P
n= hni
nn! e
−hnibut energy–momentum conservation
⇒ large n suppressed
Other half of solution:
perturbative QCD not valid at small p
⊥since q, g not asymptotic states (confinement!).
Naively breakdown at p
⊥min' ¯ h
r
p≈ 0.2 GeV · fm
0.7 fm ≈ 0.3 GeV ' Λ
QCD. . . but better replace r
pby (unknown) colour screening length d in hadron
r r
d resolved
r r
d
screened
λ ∼ 1/p
⊥so modify dˆ σ
dp
2⊥∝ α
2s(p
2⊥)
p
4⊥→ α
2s(p
2⊥)
p
4⊥θ (p
⊥− p
⊥min) (simpler)
or → α
2s(p
2⊥0+ p
2⊥)
(p
2⊥0+ p
2⊥)
2(more physical)
p
2⊥dˆ σ/dp
2⊥0
where p
⊥minor p
⊥0are free parameters, empirically of order 2 GeV
Typically 2 – 3 interactions/event at the Tevatron, 4 – 5 at the LHC, but may be more
in “interesting” high-p
⊥ones.
Modelling multiple interactions
T. Sj ¨ ostrand, M. van Zijl, PRD36 (1987) 2019: first model(s) for event properties based on perturbative multiple interactions (1) Simple scenario:
• Sharp cut-off at p
⊥minmain free parameter
• Is only a model for nondiffractive events, i.e. for σ
nd' (2/3)σ
tot• Average number of interactions is hni = σ
int(p
⊥min)/σ
nd• Interactions occur almost independently, i.e.
Poissonian statistics P
n= hni
ne
−hni/n!
with fraction P
0= e
−hnipure low-p
⊥events
• Interactions generated in ordered sequence p
⊥1> p
⊥2> p
⊥3> . . . by “Sudakov” trick (what happens “first”?)
dP
dp
⊥i= 1 σ
nddσ
dp
⊥exp
"
−
Z p
⊥(i−1)
p⊥
1 σ
nddσ
dp
0⊥dp
0⊥#
• Momentum conservation in PDF’s ⇒ P
nnarrower than Poissonian
• Simplify after first interaction: only gg or qq outgoing, no showers, . . .
(2) More sophisticated scenario:
• Smooth turn-off at p
⊥0scale
• Require ≥ 1 interaction in an event
• Hadrons are extended,
e.g. double Gaussian (“hot spots”):
ρ
matter(r) = N
1exp − r
2r
12!
+ N
2exp − r
2r
22!
where r
26= r
1represents “hot spots”
• Events are distributed in impact parameter b
• Overlap of hadrons during collision O(b) =
Z
d
3x dt ρ
boosted1,matter( x , t)ρ
boosted2,matter( x , t)
• Average activity at b proportional to O(b)
⇒ central collisions normally more active
⇒ P
nbroader than Poissonian
• More time-consuming (b, p
⊥) generation
• Need for simplifications remains
0.01 0.1 1 10
0 0.5 1 1.5 2 2.5
ρ(r) total r1 = 1 r2 = 0.4
p p
b
b hni
1
(3) HERWIG
Soft Underlying Event (SUE), based on UA5 Monte Carlo
l
y
v v
• Distribute a (∼ negative binomial) number of clusters independently in rapidity and transverse momentum according to parametrization/extrapolation of data
• modify for overall energy/momentum/flavour conservation
• no minijets; correlations only by cluster decays (4) Jimmy (HERWIG add-on)
• similar to PYTHIA (2) above; but details different
• matter profile by electromagnetic form factor
• no p
⊥-ordering of emissions, no rescaling of PDF:
abrupt stop when (if) run out of energy (5) Phojet/DTUjet
• comes from “historical” tradition of soft physics
of “cut Pomerons” ≈ p
⊥→ 0 limit of multiple interactions
• extended also to “hard” interactions similarly to PYTHIA
without multiple interactions
with multiple interactions
Evidence for multiple interactions
• Width of multiplicity distribution: UA5, E735 (previous slides)
• Forward–backward correlations: UA5 (previous slides)
• Minijet rates: UA1
No. jets UA1 no MI simple double
(%) Gaussian
1 9.96 14.30 11.51 8.88
2 3.45 2.45 2.45 2.67
3 1.12 0.22 0.32 0.74
4 0.22 0.01 0.04 0.25
5 0.05 0.00 0.00 0.07
• Direct observation: AFS, (UA2,) CDF
Order 4 jets p
⊥1> p
⊥2> p
⊥3> p
⊥4and define ϕ as angle between p
⊥1− p
⊥2and p
⊥3− p
⊥4Double Parton Scattering
1 2
3
4
| p
⊥1+ p
⊥2| ≈ 0
| p
⊥3+ p
⊥4| ≈ 0 dσ/dϕ flat
Double BremsStrahlung
1 2
3 4
| p
⊥1+ p
⊥2| 0
| p
⊥3+ p
⊥4| 0 dσ/dϕ peaked at ϕ ≈ 0 AFS 4-jet analysis (pp at 63 GeV);
double bremsstrahlung subtracted:
observed 6 in arbitrary units
no MI 0
simple MI 1
double Gaussian 3.7
CDF 3-jet + prompt photon analysis Yellow region = double parton scattering (DPS) The rest =
PYTHIA showers
σ
DPS= σ
Aσ
Bσ
efffor A 6= B =⇒ σ
eff= 14.5 ± 1.7
+1.7−2.3mb
Strong enhancement relative to naive expectations!
• Jet pedestal effect: UA1, H1, CDF
Events with hard scale (jet, W/Z, . . . ) have more underlying activity!
Events with n interactions have n chances that one of them is hard, so “trigger bias”: hard scale ⇒ central collision
⇒ more interactions ⇒ larger underlying activity.
Centrality effect saturates at p
⊥hard∼ 10 GeV.
Studied in detail by Rick Field, comparing with CDF data:
Rick Field December 1, 2004
TeV4LHC Meeting Page 4 of 27
“MAX/MIN Transverse” Densities
x Define the MAX and MIN “transverse” regions on an event-by-event basis with MAX (MIN) having the largest (smallest) density.
x The “transMIN” region is very sensitive to the “beam-beam remnant” and multiple parton interaction components of the “underlying event”.
x The difference, “transMAX” minus “transMIN”, is very sensitive to the “hard scattering” component of the “underlying event” (i.e. hard initial and final- state radiation).
Jet #1 Direction 'I
“Toward”
“TransMAX” “TransMIN”
“Away”
Jet #1 Direction
'I
“TransMAX” “TransMIN”
“Toward”
“Away”
“Toward-Side” Jet
“Away-Side” Jet Jet #3
“TransMIN” very sensitive to the “beam-beam remnants”!
MC Tools for the LHC CERN July 31, 2003
Rick Field - Florida/CDF Page 24
Old PYTHIA default (more initial-state radiation)
0.5 0.5
PARP(83)
0.4 0.4
PARP(84)
0.25 0.25
PARP(90)
0.95 1.0
PARP(86)
1.8 TeV 1.8 TeV
PARP(89)
4.0 0.9 2.0 GeV
4 1 Tune A
1.0 PARP(67)
1.0 PARP(85)
1.9 GeV PARP(82)
4 MSTP(82)
1 MSTP(81)
Tune B Parameter
Tuned PYTHIA 6.206 Tuned PYTHIA 6.206
¨
Plot shows the “Transverse” charged particle density versus PT(chgjet#1) compared to the QCD hardscattering predictions of two tuned versions of
PYTHIA 6.206 (CTEQ5L, Set B (PARP(67)=1) and Set A (PARP(67)=4)).
"Transverse" Charged Particle Density: dN/dKdI
0.00 0.25 0.50 0.75 1.00
0 5 10 15 20 25 30 35 40 45 50
PT(charged jet#1) (GeV/c)
"Transverse" Charged Density
1.8 TeV |K|<1.0 PT>0.5 GeV
CDF Preliminary
data uncorrected theory corrected
CTEQ5L
PYTHIA 6.206 (Set A) PARP(67)=4
PYTHIA 6.206 (Set B) PARP(67)=1
0.5 0.5
PARP(83)
0.4 0.4
PARP(84)
0.25 0.25
PARP(90)
0.95 1.0
PARP(86)
1.8 TeV 1.8 TeV
PARP(89)
4.0 0.9 2.0 GeV
4 1 Tune A
1.0 PARP(67)
1.0 PARP(85)
1.9 GeV PARP(82)
4 MSTP(82)
1 MSTP(81)
Tune B Parameter
PYTHIA 6.206 CTEQ5L
New PYTHIA default (less initial-state radiation)
New PYTHIA default (less initial-state radiation)
Double Gaussian
Old PYTHIA default (more initial-state radiation)
Tune A CDF Run 2 Default!
MC Tools for the LHC CERN July 31, 2003
Rick Field - Florida/CDF Page 28
Tuned PYTHIA 6.206 Tuned PYTHIA 6.206
“Transverse” P
“Transverse” P T T Distribution Distribution
"Transverse" Charged Particle Density: dN/dKdI
0.00 0.25 0.50 0.75 1.00
0 5 10 15 20 25 30 35 40 45 50
PT(charged jet#1) (GeV/c)
"Transverse" Charged Density
1.8 TeV |K|<1.0 PT>0.5 GeV CDF Preliminary
data uncorrected theory corrected
CTEQ5L
PYTHIA 6.206 (Set A) PARP(67)=4
PYTHIA 6.206 (Set B) PARP(67)=1
PARP(67)=4.0 (old default) is favored over PARP(67)=1.0 (new default)!
PT(charged jet#1) > 30 GeV/c
"Transverse" Charged Particle Density
1.0E-06 1.0E-05 1.0E-04 1.0E-03 1.0E-02 1.0E-01 1.0E+00
0 2 4 6 8 10 12 14
PT(charged) (GeV/c) Charged Density dN/dKdIdPT (1/GeV/c)
CDF Data
data uncorrected theory corrected
1.8 TeV |K|<1 PT>0.5 GeV/c PT(chgjet#1) > 5 GeV/c
PT(chgjet#1) > 30 GeV/c
PYTHIA 6.206 Set A PARP(67)=4
PYTHIA 6.206 Set B PARP(67)=1
¨
Compares the average “transverse” charge particle density (|K|<1, PT>0.5 GeV) versus PT(charged jet#1) and the PT distribution of the “transverse” density, dNchg/dKdIdPT with the QCD Monte-Carlo predictions of two tuned versions of PYTHIA 6.206 (PT(hard) > 0, CTEQ5L, Set B (PARP(67)=1) and Set A (PARP(67)=4)).Rick Field December 1, 2004
TeV4LHC Meeting Page 5 of 27
Leading Jet: “MAX & MIN Transverse” Densities
PYTHIA Tune A HERWIG
"MAX/MIN Transverse" Charge Density: dN/dKdI
0.0 0.4 0.8 1.2 1.6
0 50 100 150 200 250
ET(jet#1) (GeV)
"Transverse" Charge Density CDF Preliminary
data uncorrected theory + CDFSIM
PYTHIA Tune A 1.96 TeV
Charged Particles (|K|<1.0, PT>0.5 GeV/c)
"MAX"
"MIN"
"AVE"
Leading Jet
"MAX/MIN Transverse" Charge Density: dN/dKdI
0.0 0.4 0.8 1.2 1.6
0 50 100 150 200 250
ET(jet#1) (GeV)
"Transverse" Charge Density CDF Preliminary
data uncorrected theory + CDFSIM
HERWIG 1.96 TeV
Charged Particles (|K|<1.0, PT>0.5 GeV/c)
"MAX"
"MIN"
"AVE"
Leading Jet
"MAX/MIN Transverse" PTsum Density: dPT/dKdI
0.0 0.5 1.0 1.5 2.0 2.5
0 50 100 150 200 250
ET(jet#1) (GeV)
"Transverse" PTsum Density (GeV/c)
CDF Preliminary
data uncorrected theory + CDFSIM
PYTHIA Tune A 1.96 TeV
Charged Particles (|K|<1.0, PT>0.5 GeV/c)
"MAX"
"MIN"
"AVE"
Leading Jet
"MAX/MIN Transverse" PTsum Density: dPT/dKdI
0.0 0.5 1.0 1.5 2.0 2.5
0 50 100 150 200 250
ET(jet#1) (GeV)
"Transverse" PTsum Density (GeV/c)
CDF Preliminary
data uncorrected theory + CDFSIM
HERWIG 1.96 TeV
Charged Particles (|K|<1.0, PT>0.5 GeV/c)
"MAX"
"MIN"
"AVE"
Leading Jet
Charged particle density and PTsum density for “leading jet” events versus ET(jet#1) for PYTHIA Tune A and HERWIG.
KITP Collider Workshop February 17, 2004
Rick Field - Florida/CDF Page 58
Back Back - - to to - - Back Back “Associated” “Associated”
Charged Particle Densities Charged Particle Densities
'I
Jet#1 Region
PTmaxT Direction
Jet#2 Region
¨
Shows the 'I dependence of the “associated” charged particle density, dNchg/dKdI, pT > 0.5 GeV/c, |K| < 1, PTmaxT > 2.0 GeV/c (not including PTmaxT) relative to PTmaxT (rotated to 180o) and the charged particle density, dNchg/dKdI, pT > 0.5 GeV/c, |K| < 1, relative to jet#1 (rotated to 270o) for “back-to-back events” with 30 < ET(jet#1) < 70 GeV.Jet #1 Direction 'I
“Toward”
“Transverse” “Transverse”
“Away”
Jet #2 Direction
Charged Particle Density: dN/dKdI
2
6 10 14
18 22
26 30
34 38
42 46
50 54
58
62
66
70
74
78
82
86
90
94
98
102
106
110
114
118
122
126 130
134 138 142 146 150 154 158 162 166 174 170 178 182 190 186 194 198 202 206 210 214 218 222 226 230 234 238 242 246 250 254 258 262 266 270 274 278 282 286
290 294
298 302
306 310
314 318
322 326
330 334
338 342
346 350 354 358
CDF Preliminary
data uncorrected
30 < ET(jet#1) < 70 GeV Back-to-Back
Charged Particles (|K|<1.0, PT>0.5 GeV/c)
"Transverse"
Region "Transverse"
Region Jet#1
Associated Density PTmaxT > 2 GeV/c
(not included) PTmaxT
Polar Plot
“Back-to-Back”
“associated” density
“Back-to-Back”
charge density
0.5
1.0
1.5
2.0
KITP Collider Workshop February 17, 2004
Rick Field - Florida/CDF Page 71
“ “ Associated” Charge Density Associated” Charge Density PYTHIA Tune A
PYTHIA Tune A vs vs HERWIG HERWIG
Associated Particle Density: dN/dKdI
0.1 1.0 10.0
0 30 60 90 120 150 180 210 240 270 300 330 360
'I (degrees)
Associated Particle Density
PTmaxT > 2.0 GeV/c PY Tune A
Back-to-Back 30 < ET(jet#1) < 70 GeV Charged Particles
(|K|<1.0, PT>0.5 GeV/c)
PTmaxT
CDF Preliminary
data uncorrected
theory + CDFSIM PTmaxT not included
"Jet#1"
Region
Associated Particle Density: dN/dKdI
0.1 1.0 10.0
0 30 60 90 120 150 180 210 240 270 300 330 360
'I (degrees)
Associated Particle Density
PTmaxT > 2.0 GeV/c HERWIG
Back-to-Back 30 < ET(jet#1) < 70 GeV Charged Particles
(|K|<1.0, PT>0.5 GeV/c)
PTmaxT
CDF Preliminary
data uncorrected
theory + CDFSIM PTmaxT not included
"Jet#1"
Region
Data - Theory: Associated Particle Density dN/dKdI
-1.6 -0.8 0.0 0.8 1.6
0 30 60 90 120 150 180 210 240 270 300 330 360
'I (degrees)
Data - Theory
CDF Preliminary
data uncorrected theory + CDFSIM
Charged Particles (|K|<1.0, PT>0.5 GeV/c)
Back-to-Back 30 < ET(jet#1) < 70 GeV PYTHIA Tune A
PTmaxT "Jet#1"
Region PTmaxT > 2.0 GeV/c (not included)
Data - Theory: Associated Particle Density dN/dKdI
-1.0 -0.5 0.0 0.5 1.0
0 30 60 90 120 150 180 210 240 270 300 330 360
'I (degrees)
Data - Theory
CDF Preliminary
data uncorrected theory + CDFSIM
Charged Particles (|K|<1.0, PT>0.5 GeV/c)
Back-to-Back 30 < ET(jet#1) < 70 GeV HERWIG
PTmaxT "Jet#1"
Region PTmaxT > 2.0 GeV/c (not included)
For PTmaxT > 2.0 GeV both PYTHIA and HERWIG produce
slightly too many “associated”
particles in the direction of PTmaxT!
But HERWIG (without multiple parton interactions) produces
too few particles in the direction opposite of PTmaxT!
PTmaxT > 2 GeV/c
Colour correlations
hp
⊥i(n
ch) is very sensitive to colour flow
p p
long strings to remnants ⇒ much n
ch/interaction ⇒ hp
⊥i(n
ch) ∼ flat
p p
short strings (more central) ⇒ less
n
ch/interaction ⇒ hp
⊥i(n
ch) rising
KITP Collider Workshop February 17, 2004
Rick Field - Florida/CDF Page 35
“ “ Transverse” < Transverse” < p p T T > versus > versus
“Transverse”
“Transverse” N N chg chg
Jet #1 Direction 'I
“Toward”
“Transverse” “Transverse”
“Away”
Jet #1 Direction 'I
“Toward”
“Transverse” “Transverse”
“Away”
Jet #2 Direction
¨
Shows <pT> versus Nchg in the “transverse” region (pT > 0.5 GeV/c, |K| < 1) for“Leading Jet” and “Back-to-Back” events with 30 < ET(jet#1) < 70 GeV compared with
“min-bias” collisions.
“Leading Jet”
“Back-to-Back”
¨
Look at the <pT> of particles in the “transverse” region (pT > 0.5 GeV/c, |K| < 1) versus the number of particles in the “transverse” region: <pT> vs Nchg.Min-Bias
"Transverse" Average PT versus Nchg
0.5 1.0 1.5 2.0
0 2 4 6 8 10 12 14 16 18 20 22
Number of Charged Particles
Average PT (GeV/c)
CDF Run 2 Preliminary
data uncorrected theory + CDFSIM
Charged Particles (|K|<1.0, PT>0.5 GeV/c) PYTHIA Tune A 1.96 TeV
Min-Bias
Leading Jet 30 < ET(jet#1) < 70 GeV
Back-to-Back 30 < ET(jet#1) < 70 GeV
Initiators and Remnants
p
g u
s s u d
initiators:
in to hard interaction
beam remnants
Need to assign:
• correlated flavours
• correlated x
i= p
zi/p
ztot• correlated primordial k
⊥i• correlated colours
• correlated showers
• PDF after preceding MI/ISR activity:
0) Squeeze range 0 < x < 1 into 0 < x < 1 −
Px
i(ISR: i 6= i
current) 1) Valence quarks: scale down by number already kicked out
2) Introduce companion quark q/q to each kicked-out sea quark q/q, with x based on assumed g → qq splitting
3) Gluon and other sea: rescale for total momentum conservation
Interleaved Multiple Interactions
interaction number
p
⊥hard int.
1
mult. int.
2
mult. int.
3
mult int.
4
p⊥max
p⊥min
p⊥1
p⊥2
p⊥3
p⊥4
p⊥23
ISR
ISR
ISR
ISR
p0⊥1
Extrapolation to LHC
Energy dependence of p
⊥minand p
⊥0:
Larger collision energy
⇒ probe parton ( ≈ gluon) density at smaller x
⇒ smaller colour screening length d
⇒ larger p
⊥minor p
⊥0Post-HERA PDF fits steeper at small x
⇒ stronger energy dependence
Current PYTHIA default (Tune A, old model), tied to CTEQ 5L, is
p
⊥min(s) = 2.0 GeV s
(1.8 TeV)
2!0.08
5thNovember 2004 Minimum-bias and the Underlying Event at the LHC
A. M. Moraes
LHC predictions: pp collisions at ¥s = 14 TeV
0 2 4 6 8 10
102 103 104 105
PYTHIA6.214 - tuned PYTHIA6.214 - default PHOJET1.12
pp interactions-
UA5 and CDF data
dN chg/dȘatȘ=0
¥s (GeV)
•PYTHIAmodels favour ln2(s);
•PHOJETsuggests a ln(s)dependence.
LHC
2 4 6 8 10 12
0 10 20 30 40 50
CDF data
PYTHIA6.214 - tuned
PHOJET1.12
LHC
Tevatron
x1.5 x 3
dNchg/dȘ ~ 30
dNchg/dȘ ~ 15
Central Region
(min-bias dNchg/dȘ ~ 7)
Transverse < N chg>
Pt(leading jet in GeV)
5thNovember 2004 Minimum-bias and the Underlying Event at the LHC
A. M. Moraes
LHC predictions: JIMMY4.1 Tunings A and B vs.
PYTHIA6.214 – ATLAS Tuning (DC2)
5 10 15 20
0 10 20 30 40 50
CDF data
JIMMY4.1 - Tuning A JIMMY4.1 - Tuning B
PYTHIA6.214 - ATLAS Tuning
Transverse < N chg>
P
t(leading jet in GeV) Tevatron LHC
x 4
x 5
x 3
18 PTJIM=4.9
PTJIM=4.9
= 2.8
= 2.8 x (14 / 1.8)x (14 / 1.8)0.270.27
x3
x2.7 LHC
Tevatron
•energy dependent PTJIM •energy dependent PTJIM generates UE predictions generates UE predictions similar to the ones
similar to the ones generated by PYTHIA6.2 generated by PYTHIA6.2 –– ATLAS.
ATLAS.
UE tunings: Pythia vs. Jimmy
Hadronization/Fragmentation models
Perturbative → nonperturbative =⇒ not calculable from first principles!
Model building = ideology + “cookbook”
Common approaches:
1) String Fragmentation (most ideological)
2) Cluster Fragmentation (simplest?)
3) Independent Fragmentation (most cookbook)
4) Local Parton–Hadron Duality (limited applicability)
Best studied in
e
+e
−→ γ
∗/Z
0DELPHI Interactive Analysis
Run: 39265 Evt: 4479
Beam: 45.6 GeV Proc: 4-May-1994
DAS : 5-Jul-1993 14:16:48 Scan: 3-Jun-1994
TD TE TS TK TV ST PA
Act
Deact 95 (145)
0 ( 0)
173 (204)
0 ( 20)
0 ( 0)
0 ( 0)
38 ( 38)
0 ( 42)
0 ( 0)
0 ( 0)
0 ( 0)
0 ( 0)
0 ( 0)
0 ( 0)
X Y Z
The Lund String Model
In QED, field lines go all the way to infinity
+
...
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− +
since photons cannot interact with each other.
Potential is simply additive:
V ( x ) ∝
Xi
1
| x − x
i|
In QCD, for large charge separation, field lines seem to be compressed to tubelike region(s) ⇒ string(s)
r r
...
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...
...
...
.................
... ... ... ... ... ... ...
...
. ...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
...
... ... ... ... ... ... ... ...
by self-interactions among soft gluons in the “vacuum”.
(Non-trivial ground state with quark and gluon “condensates”.
Analogy: vortex lines in type II superconductor) Gives linear confinement with string tension:
F (r) ≈ const = κ ≈ 1 GeV/fm ⇐⇒ V (r) ≈ κr Separation of transverse and longitudinal degrees of freedom
⇒ simple description as 1+1-dimensional object – string –
with Lorentz invariant formalism
Linear confimenent confirmed e.g. by quenched lattice QCD
MC for LHC 3 Mike Seymour
Interquark potential
Can measure from quarkonia spectra:
or from lattice QCD:
String tension
V (r)
r linear part
Coulomb part
total
V (r) ≈ − 4 3
α
sr + κr ≈ − 0.13
r + r (for α
s≈ 0.5, r in fm and V in GeV)
V (0.4 fm) ≈ 0: Coulomb important for internal structure of hadrons,
not for particle production (?)
Real world (??, or at least unquenched lattice QCD)
=⇒ nonperturbative string breakings gg . . . → qq V (r)
r quenched QCD
full QCD
Coulomb part
simplified colour representation:
r r
...
... ... ... ...
⇓
r r
...
... ... ... ...
r r
⇓
r r
. ...
... ... ... ... ...
r r
...
... ...
Repeat for large system ⇒ Lund model which neglects Coulomb part:
dE dz
=
dp
zdz
=
dE dt
=
dp
zdt
= κ
Motion of quarks and antiquarks in a qq system:
z q t
q
gives simple but powerful picture of hadron production
(with extensions to massive quarks, baryons, . . . )
How does the string break?
q q
0q
0q
m
⊥q0= 0
q q
0q
0q
d = m
⊥q/κ m
⊥q0> 0
String breaking modelled by tunneling:
P ∝ exp
− πm
2⊥qκ
= exp
− πp
2⊥qκ
exp − πm
2qκ
!
1) common Gaussian p
⊥spectrum
2) suppression of heavy quarks uu : dd : ss : cc ≈ 1 : 1 : 0.3 : 10
−113) diquark ∼ antiquark ⇒ simple model for baryon production
Hadron composition also depends on spin probabilities, hadronic wave functions, phase space, more complicated baryon production, . . .
⇒ “moderate” predictivity (many parameters!)
Fragmentation starts in the middle and spreads outwards:
z q t
q m
2⊥m
2⊥2 1
but breakup vertices causally disconnected
⇒ can proceed in arbitrary order
⇒ left–right symmetry
P(1, 2) = P(1) × P(1 → 2)
= P(2) × P(2 → 1)
⇒ Lund symmetric fragmentation function
f (z) ∝ (1 − z)
aexp(−bm
2⊥/z)/z
00.5 1 1.5 2 2.5 3
0 0.2 0.4 0.6 0.8 1 f(z), a = 0.5, b= 0.7
mT2 = 0.25 mT2 = 1 mT2 = 4
The iterative ansatz
q
1q
1q
2q
2q
3q
3q
0, p
⊥0, p
+q
0q
1, p
⊥0− p
⊥1, z
1p
+q
1q
2, p
⊥1− p
⊥2, z
2(1 − z
1)p
+q
2q
3, p
⊥2− p
⊥3, z
3(1 − z
2)(1 − z
1)p
+and so on until joining in the middle of the event
Scaling in lightcone p
±= E ± p
z(for qq system along z axis) implies flat central rapidity plateau + some endpoint effects:
y dn/dy
hn
chi ≈ c
0+ c
1ln E
cm, ∼ Poissonian multiplicity distribution
The Lund gluon picture
q (r)
g (rb) The most characteristic feature of the Lund model
q (b)
snapshots of string position
strings stretched
from q (or qq) endpoint via a number of gluons to q (or qq) endpoint
Gluon = kink on string, carrying energy and momentum
Force ratio gluon/ quark = 2, cf. QCD N
C/C
F= 9/4, → 2 for N
C→ ∞ No new parameters introduced for gluon jets!, so:
• Few parameters to describe energy-momentum structure!
• Many parameters to describe flavour composition!
Independent fragmentation
Based on a similar iterative ansatz as string, but
q
q g
= q +
q
+ g
+
minor
corrections in middle
String effect (JADE, 1980)
≈ coherence in nonperturbative context
Further numerous and detailed tests at LEP favour string picture . . .
. . . but much is still uncertain when moving to hadron colliders.
The HERWIG Cluster Model
“Preconfinement”:
colour flow is local
in coherent shower evolution
●
subprocess
underlying event p
jet jet
p hard
●
+
Z
0e
e
−
! !" "
# #
# #
$ $
$ $
%%&&
''((
)*
++,,
l
1) Introduce forced g → qq branchings 2) Form colour singlet clusters
3) Clusters decay isotropically to 2 hadrons according to phase space weight ∼ (2s
1+ 1)(2s
2+ 1)(2p
∗/m)
simple and clean, but . . .
1) Tail to very large-mass clusters (e.g. if no emission in shower);
if large-mass cluster → 2 hadrons then
incorrect hadron momentum spectrum, crazy four-jet events
=⇒ split big cluster into 2 smaller along “string” direction;
daughter-mass spectrum ⇒ iterate if required;
∼ 15% of primary clusters are split, but give ∼ 50% of final hadrons 2) Isotropic baryon decay inside cluster
=⇒ splittings g → qq + qq
3) Too soft charm/bottom spectra
=⇒ anisotropic leading-cluster decay 4) Charge correlations still problematic
=⇒ all clusters anisotropic (?) 5) Sensitivity to particle content
=⇒ only include complete multiplets
String vs. Cluster
c g g b
D−s Λ0
n η
π+ K∗−
φ K+ π− B0
e+e− Event Generator
• hard scattering
• (QED) initial/final state radiation
• partonic decays, e.g.
t → bW
• parton shower evolution
• nonperturbative gluon splitting
• colour singlets
• colourless clusters
• cluster fission
• cluster→ hadrons
• hadronic decays
Bryan Webber, QCD Simulation for LHC and Herwig++, KEK, 6 April 2004 2
program PYTHIA HERWIG
model string cluster
energy–momentum picture powerful simple
predictive unpredictive
parameters few many
flavour composition messy simple
unpredictive in-between
parameters many few
“There ain’t no such thing as a parameter-free good description”
Local Parton–Hadron Duality
Analytic approach:
Run shower down to to Q ≈ Λ
QCD(or m
hadron, if larger)
“Hard Line”: each parton ≡ one hadron
“Soft Line”: local hadron density
∝ parton density
describes momentum spectra dn/dx
pand semi-inclusive particle flow, but fails for identified particles + “renormalons” (power corrections) h1 − T i = a α
s(E
cm) + b α
2s(E
cm)
+c/E
cmarbitrary units
Ecm [GeV]
<1-T>
<ρ>
<BW>
<BT>
<C>
O(α2s)+1/Q O(αs2)*MC corr.
TASSO PLUTO JADE CELLO HRS MARKII
AMY TOPAZ L3 DELPHI
ALEPH
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
25 50 75 100 125 150 175 200