Sherpa An event generator for LHC · R. Kuhn, F . Krauss, G. Sof f JHEP 0202:044, 2002 AMEGIC++ is...
Transcript of Sherpa An event generator for LHC · R. Kuhn, F . Krauss, G. Sof f JHEP 0202:044, 2002 AMEGIC++ is...
for the Sherpa collaboration: Timo Fischer, Tanju Gleisberg, SH, Frank Krauss, Thomas Laubrich,
Radoslaw Matyszkiewicz, Steffen Schumann, Frank Siegert & Jan Winter
SherpaAn event generator for LHC
Stefan HöcheUniversität Dortmund
Université Catholique de Louvain
1
1
combinationn of the above: CKKWParton shower generation
Outline
Stefan Höche, WG Seminar Dortmund, 22.8.2006
This talk is meant to be a quick guided tour through Sherpa ...
Multiple parton interactions
Matrix element generation
Cluster fragmentationHadron decays
Perturbative physics
Semihard / nonperturbative physics
The Sherpa Framework
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Scope of the Sherpa project:Provide a multi-purpose Monte Carlo event generator for
new physics searches at future colliders
Provide framework for implementation of new models
Account for multijet production through multi-partontree-level matrix elements merged with the parton shower
SM background simulation (bread- & butter physics)
new interaction modelsnew hadronisation & hadron decay models...
Special emphasis:
Current status:Full MC simulation of e e , γγ and hadron collisions possible+ -
Work on DIS-like situations and new models in progress
2
The Sherpa Framework
Key features:Automatic ME generationvia AMEGIC++Generation of QCD/QED radiationvia APACIC++ ( PYTHIA-like PS )Merging of ME and PS according to CKKW S. Catani, F. Krauss, R. Kuhn, B. Webber JHEP 0111:063, 2001 & F.Krauss JHEP 0208:015, 2002
Simulation of multiple interactions acc. to T. Sjöstrand, M. van Zijl Phys. Rev. D36 (1987) ( own model in preparation )Cluster fragmentation in preparation( currently string fragmentation via PYTHIA )Own hadron decay framework including a τ decay library
Sherpa is the framework, responsible for steering the generatorStefan Höche, WG Seminar Dortmund, 22.8.2006
R. Kuhn, F. Krauss, G. Soff JHEP 0202:044, 2002
Sherpas built-in ME generator AMEGIC++ providesFully automated calculation of (polarized) cross sectionsin the SM, MSSM and ADD modelPerformance comparable to that of dedicated codesExpandability (users can implement new models)
Extensively tested, e.g.
Comparison of arbitrary 2 2 MSSMprocesses vs. WHIZARD/O’Mega &SMadGraph K. Hagiwara, W. Kilian, F. Krauss, T.Ohl, T. Plehn, D. Rainwater, J. Reuter, S.Schumann hep-ph/0512260
+ -e e 6f comparison vs. HELAC/PHEGASmutual deviations in ~100 processes
Matrix Elements: AMEGIC++
Stefan Höche, WG Seminar Dortmund, 22.8.2006
R. Kuhn, F. Krauss, G. Soff JHEP 0202:044, 2002
AMEGIC++ is an ME-generator-generator:Given initial and final state, AMEGIC++ constructs all diagrams
Corresponding phase space mappings are generated
C++ code, representing all the above is stored to diskmust be compiled and becomes part of the generator
Diagrams are translated into C++ code employing the helicity formalism hep-ph/9403244
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a
t
b
cz
c
b
CF1 + z2
1 ! zCF
1 + (1 ! z)2
z
TR
!z2 + (1 ! z)2" 2CA
(1 ! z + z2)2
z(1 ! z)
1
Diso(23, 45) ! P0(23) ! P0(45)
! Diso(2, 3) ! Diso(4, 5)
( allows efficient mapping of potentially complicated peak structure in subsequent PS integration )
Matrix Elements: AMEGIC++
Stefan Höche, WG Seminar Dortmund, 22.8.2006
2.2 Results 21
In the phase-space integration cuts on transverse momentum pT , pseudo-rapidity ! and thecone distance !R have been applied on all final state particles with the exception of massiveparticles with mi > 3 GeV and neutrinos, whose phase space remains unconstrained. Thecuts read, in particular:
pTi > 20 GeV,
|!i| < 2.5
!Rij =!
!"2 + !!2 > 0.4 , (2.13)
Statistical errors of the Monte Carlo integrations, i.e. one standard deviation, are given inparentheses.
Numerical results
X-sects (pb) e!!e + n QCD jetsNumber of jets 0 1 2 3 4 5 6
ALPGEN 3904(6) 1013(2) 364(2) 136(1) 53.6(6) 21.6(2) 8.7(1)AMEGIC++ 3908(3) 1011(2) 362.3(9) 137.5(5) 54(1)CompHEP 3947.4(3) 1022.4(5) 364.4(4)GR@PPA 3905(5) 1013(1) 361.0(7) 133.8(3) 53.8(1)JetI 3786(81) 1021(8) 361(4) 157(1) 46(1)
MadEvent 3902(5) 1012(2) 361(1) 135.5(3) 53.6(2)
Table 2.8: Cross sections for the process e!!e + n jets at the LHC. All results are in pb.
X-sects (pb) e+!e + n QCD jetsNumber of jets 0 1 2 3 4 5 6
ALPGEN 5423(9) 1291(13) 465(2) 182.8(8) 75.7(8) 32.5(2) 13.9(2)AMEGIC++ 5432(5) 1277(2) 466(2) 184(1) 77.3(4)CompHEP 5485.8(6) 1287.5(7) 467.3(8)GR@PPA 5434(7) 1273 (2) 467.7(9) 181.8(5) 76.6(3)JetI 5349(143) 1275(12) 487(3) 212(2)
MadEvent 5433(8) 1277(2) 464(1) 182(1) 75.9(3)
Table 2.9: Cross sections for the process e+!e + n jets at the LHC. All results are in pb.
The first processes considered here are the production of electroweak gauge bosons. InTables 2.9 and 2.8 the cross sections for the production of positively and negatively chargedW bosons accompanied by the production of up to 6 jets are presented1. The achievedprecision of AMEGIC++ and the other codes is on the sub-per cent level. Note that the crosssections for pp ! W+ + X are approximately 35% larger than the corresponding crosssections for pp ! W! + X. This is in contrast to the Tevatron, where proton anti-protoncollisions are performed, such that the charge does not matter for the production cross
1AMEGIC++ is able to calculate the cross section for the production of gauge bosons with up to four extrajets.
2.2 Results 21
In the phase-space integration cuts on transverse momentum pT , pseudo-rapidity ! and thecone distance !R have been applied on all final state particles with the exception of massiveparticles with mi > 3 GeV and neutrinos, whose phase space remains unconstrained. Thecuts read, in particular:
pTi > 20 GeV,
|!i| < 2.5
!Rij =!
!"2 + !!2 > 0.4 , (2.13)
Statistical errors of the Monte Carlo integrations, i.e. one standard deviation, are given inparentheses.
Numerical results
X-sects (pb) e!!e + n QCD jetsNumber of jets 0 1 2 3 4 5 6
ALPGEN 3904(6) 1013(2) 364(2) 136(1) 53.6(6) 21.6(2) 8.7(1)AMEGIC++ 3908(3) 1011(2) 362.3(9) 137.5(5) 54(1)CompHEP 3947.4(3) 1022.4(5) 364.4(4)GR@PPA 3905(5) 1013(1) 361.0(7) 133.8(3) 53.8(1)JetI 3786(81) 1021(8) 361(4) 157(1) 46(1)
MadEvent 3902(5) 1012(2) 361(1) 135.5(3) 53.6(2)
Table 2.8: Cross sections for the process e!!e + n jets at the LHC. All results are in pb.
X-sects (pb) e+!e + n QCD jetsNumber of jets 0 1 2 3 4 5 6
ALPGEN 5423(9) 1291(13) 465(2) 182.8(8) 75.7(8) 32.5(2) 13.9(2)AMEGIC++ 5432(5) 1277(2) 466(2) 184(1) 77.3(4)CompHEP 5485.8(6) 1287.5(7) 467.3(8)GR@PPA 5434(7) 1273 (2) 467.7(9) 181.8(5) 76.6(3)JetI 5349(143) 1275(12) 487(3) 212(2)
MadEvent 5433(8) 1277(2) 464(1) 182(1) 75.9(3)
Table 2.9: Cross sections for the process e+!e + n jets at the LHC. All results are in pb.
The first processes considered here are the production of electroweak gauge bosons. InTables 2.9 and 2.8 the cross sections for the production of positively and negatively chargedW bosons accompanied by the production of up to 6 jets are presented1. The achievedprecision of AMEGIC++ and the other codes is on the sub-per cent level. Note that the crosssections for pp ! W+ + X are approximately 35% larger than the corresponding crosssections for pp ! W! + X. This is in contrast to the Tevatron, where proton anti-protoncollisions are performed, such that the charge does not matter for the production cross
1AMEGIC++ is able to calculate the cross section for the production of gauge bosons with up to four extrajets.
Comparison of ME-generators in the context of MC4LHC( http://indico.cern.ch/categoryDisplay.py?categId=152 )
Matrix Elements: AMEGIC++
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Parton Showers: APACIC++
a
t
b
cz
c
b
CF1 + z2
1 ! zCF
1 + (1 ! z)2
z
TR
!z2 + (1 ! z)2" 2CA
(1 ! z + z2)2
z(1 ! z)
1
R. Kuhn, F. Krauss, G. Ivanyi, G. Soff CPC 134 (2001) 223F. Krauss, A. Schälicke, G. Soff, hep-ph/0503087
Features of Sherpas parton shower, APACIC++ :Virtuality ordered parton cascade,colour coherence imposed by angular vetoFinal & initial state showering ine e & hadron collisions ( no DIS-like situations )+ -
Algorithm similar to virtuality ordered PYTHIA parton shower
Extensively tested ( see next slides )
2nd key ingredient to the CKKW ME-PS mergingimplemented in Sherpa ( 1st is AMEGIC++ )
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Event shapes in e e -annihilation at E = 91 GeV (LEP I)
SHERPASHERPA
DELPHI 91 GeVAPACIC++ 2.0
/dT
! d
!1/
-310
-210
-110
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10
1-ThrustTheory/Data - 1Theory/Data - 1Theory/Data - 1
-0.2-0.1
00.10.2
1-Thrust0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
SHERPASHERPA
DELPHI 91 GeVAPACIC++ 2.0
/dM
! d
!1/
-110
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10
MajorTheory/Data - 1Theory/Data - 1Theory/Data - 1
-0.2-0.1
00.10.2
Major0 0.1 0.2 0.3 0.4 0.5 0.6
+ -cms
Parton Showers: APACIC++
R. Kuhn, F. Krauss, G. Ivanyi, G. Soff CPC 134 (2001) 223F. Krauss, A. Schälicke, G. Soff, hep-ph/0503087
Stefan Höche, WG Seminar Dortmund, 22.8.2006
SHERPASHERPA
JADE & OPAL 91 GeVAPACIC++ 2.0
)34
(Y10
/dlo
g!
d!
1/0.2
0.4
0.6
0.8
1
1.2
)34(Y10logTheory/Data - 1Theory/Data - 1Theory/Data - 1
-0.2-0.1
00.10.2
)34(Y10log-4.5 -4 -3.5 -3 -2.5 -2 -1.5 -1
SHERPASHERPA
JADE & OPAL 91 GeVAPACIC++ 2.0
)23
(Y10
/dlo
g!
d!
1/
0.1
0.2
0.3
0.4
0.5
0.6
0.7
)23(Y10logTheory/Data - 1Theory/Data - 1Theory/Data - 1
-0.2-0.1
00.10.2
)23(Y10log-4 -3.5 -3 -2.5 -2 -1.5 -1 -0.5
Differential jet rates in e e -annihilation at E = 91 GeV (LEP I)+ -cms
Parton Showers: APACIC++
R. Kuhn, F. Krauss, G. Ivanyi, G. Soff CPC 134 (2001) 223F. Krauss, A. Schälicke, G. Soff, hep-ph/0503087
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Exact to fixed order inthe running coupling
Basic idea of CKKW: Combine both approaches to have
+ ut
2
u+t
2 2
3
Matrix Elements
Include all quantuminterferencesCalculable only for lowFS multiplicity (n≤6-8)
Resum all (next-to) leadinglogarithms to all orders Interference effects only through angular ordering
Good description of hard/wide angle radiation (ME)Correct intrajet evolution (PS)
! Must prevent double-counting
+ ut
2
u+t
2 2
3
Parton Showers
d!n+1 = d!n !
!
a!q,g
dt
tdz
"s(t, z)
2#Pa"bc(z)
THE CKKW Procedure
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Qcut
ME Domain
µH
!s(Q1)!s(Qcut)
Qcut
ME Domain
µH
!q(Qcut,µH )!q(Qcut,Q1)
!q(Qcut,Q1)
!q(Qcut,µH)
!g(Qcut,Q1)
!s(Q1)!s(Qcut)
Qcut
ME Domain
µH
!q(Qcut,µH )!q(Qcut,Q1)
!q(Qcut,Q1)
!q(Qcut,µH)
!g(Qcut,Q1)
!s(Q1)!s(Qcut)
PS Domain
Qcut (6)
µH (7)!q(Qcut,µH)!q(Qcut,Q1) (8)
!q(Qcut,Q1) (9)
!q(Qcut,µH) (10)
!g(Qcut,Q1) (11)!s(Q1)
!s(Qcut)(12)
1
2
0
3 54
2
This yields the correct jet rates !
CKKW Cooking Recipe
Define jet resolution parameter Q (Q-jet measure) divide phase space into regions of jet production (ME) and jet evolution (PS)
Simple example: 2-jet rate in ee qq
R2(q) =
!
!(Qcut, µhard)!(q, µhard)
!(Qcut, µhard)
"2
cut
Select final state multiplicity and kinematicsaccording to σ ‘above’ Q cutKT-cluster backwards (construct PS-tree) and identify core processReweight ME to obtain exclusive samples at QStart the parton shower at the hard scaleveto all emissions harder than Q
cut
cut
4
Stefan Höche, WG Seminar Dortmund, 22.8.2006
0 50 100 150 200 250
1
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410
0 50 100 150 200 250
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D0 RunII Preliminary
(Z) [GeV]Tp
Nr. o
f Eve
nts
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(Z) [GeV]Tp
Data
/ SH
ERPA
Z-p measured at D0/T
The D0 collaboration, D0 note 5066-CONF/ /
THE CKKW Procedure
Stefan Höche, WG Seminar Dortmund, 22.8.2006
0 0.5 1 1.5 2 2.5 30
50
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0 0.5 1 1.5 2 2.5 30
50
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150
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250data w/stat errordata w/stat & sys errorSherpa range statSherpa range stat & sys
D0 RunII Preliminary
(jet,jet)! "
Nr. o
f Eve
nts
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1
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(jet,jet)! "
Data
/ SH
ERPA
Δϕ measured at D0/12
The D0 collaboration, D0 note 5066-CONF/ /
THE CKKW Procedure
Stefan Höche, WG Seminar Dortmund, 22.8.2006
hep-ex/0602019
SHERPASHERPASHERPASHERPASHERPASHERPASHERPASHERPA
Sherpa
/2! !3/4 !/2! !3/4 !/2! !3/4 !/2! !3/4 !/2! !3/4 !/2! !3/4 !/2! !3/4 !/2! !3/4 !
> 180 GeV (x8000)maxTp
< 180 GeV (x400)max
T130 < p
< 130 GeV (x20)max
T100 < p
< 100 GeVmax
T75 < p
dij
et
"#
/dd
ijet
$ d
dij
et
$1/
-310
-210
-110
1
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310
410
510
dijet"#
Δϕ in p bins12
Azimuthal dijet decorrelationT, max
THE CKKW Procedure
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Multiple Parton Interactions
Ongoing dedicated CDF analysis to validate the existence of multiple parton scatterings
defines leading charged particle jet
Event generation w/o multiple scatterings
too few charged particles in low-p regiontoo steep dN /dp spectra
Stefan Höche, WG Seminar Dortmund, 22.8.2006
!"#$%&'()&*(+,-.$&/*.01
!"!"!"!"
23$#145&$4&6 23$#145&$4&6
2307#$'6
287#96
2307#$':;.'&6()&*
287#9:;.'&6()&*
!"#$#% &%$'!"#$#%
()*$'+*,-!."$#%-/%$,".0$'#%1
!234."56
7)$8#'%8-!."$#%
7)$8#'%8-!."$#%
9%5,"*:'%8-;<,%$9%5,"*:'%8-;<,%$
examines charged multiplicity in differentazimuthal regions w.r.t. leading jet
T,jet1
charged T
!"#$%&'(#&(!)*+,-)'(#&.&)/"0+,$#-(1)2(3456
7
5
8
9
:
7 ; 57 5; 87 8; 97 9; :7 :; ;7
/")0+,$#-(1)2(3456))0<(=>+6
!"#$%&'(#&(!)?*+,-@)A%)5)<
(=>+)BA%
5CD)"(=)E!!!!E?5C7)/"@7C;)<(=>+) F($GHF($G)I(G%$%3&
J$#1)KLGML%(%3
KNO1$3$).%+L##(+3(1
3,(L#P)+L##(+3(1
J(#QA-)"L3$R
MultiplE Parton Interactions
Built according to PYTHIA modelT. Sjöstrand & M. van Zijl, Phys. Rev. D36 (1987)
Hard processes with final state multiplicity different from tworequire unique definition of starting scale for MI evolution
employ K -algorithm to define 2 2 core processset starting scale to p of final state QCD parton(s) from this process
Stefan Höche, WG Seminar Dortmund, 22.8.2006
!"#$#% &%$'!"#$#%
()*$'+*,-!."$#%-/%$,".0$'#%1
!234."56
7)$8#'%8-!."$#%
7)$8#'%8-!."$#%
9%5,"*:'%8-;<,%$9%5,"*:'%8-;<,%$
T
T
Features of Sherpas multiple interaction module:
Parton showers attached to secondary interactions
Set up to work with the CKKW matching
µMI
Sherpa algorithm (works for arbitrary n-jet ME ):
1
µMI
Preliminary Results
SHERPASHERPASHERPASHERPASHERPA
Min Bias Run IJet20 Run I
Sherpa w/o MIPYTHIA w/ MI
Sherpa w/ MI
in 1
GeV
bin
Cha
rged
N
5
10
15
20
25
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
-0.2-0.1
00.10.2
GeV T, jet1P0 5 10 15 20 25 30 35 40 45 50
1
Charged multiplicity vs. PT
of the leading charged particle jet 1
MC results correctedfor track finding efficiency
Sherpa producescorrect shape
Total charged multiplicityagrees
TeV4LHC, CERN, April 29. 2005 – p.9
N vs. p in CTCCharged T,jet1
MultiplE Parton Interactions
Stefan Höche, WG Seminar Dortmund, 22.8.2006
1
Preliminary Results
SHERPASHERPASHERPASHERPASHERPA
Min Bias Run IJet20 Run I
Sherpa w/o MIPYTHIA w/ MI
Sherpa w/ MI
in 1
GeV
bin
Cha
rged
N
0.5
1
1.5
2
2.5
3
3.5
4
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
-0.2-0.1
00.10.2
GeV T, jet1P0 5 10 15 20 25 30 35 40 45 50
SHERPASHERPASHERPASHERPASHERPA
Min Bias Run IJet20 Run I
Sherpa w/o MIPYTHIA w/ MI
Sherpa w/ MI
in 1
GeV
bin
Cha
rged
N
123456789
10
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
-0.2-0.1
00.10.2
GeV T, jet1P0 5 10 15 20 25 30 35 40 45 50
SHERPASHERPASHERPASHERPASHERPA
Min Bias Run IJet20 Run I
Sherpa w/o MIPYTHIA w/ MI
Sherpa w/ MI
in 1
GeV
bin
Cha
rged
N
2
4
6
8
10
12
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0!|Theory / Data - 1
-0.2-0.1
00.10.2
GeV T, jet1P0 5 10 15 20 25 30 35 40 45 50
1
Charged multiplicity vs. PT
of leading charged particle jetin !!!jet1regions 1
TeV4LHC, CERN, April 29. 2005 – p.10
N vs. p in CTCin different regions w.r.t. leading charged particle jet
Charged T,jet1
MultiplE Parton Interactions
Stefan Höche, WG Seminar Dortmund, 22.8.2006
1
Preliminary Results
SHERPASHERPASHERPASHERPA ! "Transverse" "! "Toward" " ! "Away" "
> 30 GeV Jet20 Run IT, jet1P
! "Transverse" "! "Toward" " ! "Away" "! "Transverse" "! "Toward" " ! "Away" "
> 30 GeV Sherpa w/o MIT, jet1P
! "Transverse" "! "Toward" " ! "Away" "
> 30 GeV PYTHIA w/ MIT, jet1P
> 30 GeV Sherpa w/ MIT, jet1P
° in
3.6
Cha
rged
N
-110
1
10
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
-0.2-0.1
00.10.2
° jet1!$%0 20 40 60 80 100 120 140 160 180
pT,jet1 > 30GeV
SHERPASHERPASHERPASHERPA ! "Transverse" "! "Toward" " ! "Away" "
> 5 GeV Jet20 Run IT, jet1P
! "Transverse" "! "Toward" " ! "Away" "! "Transverse" "! "Toward" " ! "Away" "
> 5 GeV Sherpa w/o MIT, jet1P
! "Transverse" "! "Toward" " ! "Away" "
> 5 GeV PYTHIA w/ MIT, jet1P
> 5 GeV Sherpa w/ MIT, jet1P
° in
3.6
Cha
rged
N
-110
1
10
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
-0.2-0.1
00.10.2
° jet1!$%0 20 40 60 80 100 120 140 160 180
pT,jet1 > 5GeV
SHERPASHERPASHERPASHERPA ! "Transverse" "! "Toward" " ! "Away" "
> 2 GeV Jet20 Run IT, jet1P
! "Transverse" "! "Toward" " ! "Away" "! "Transverse" "! "Toward" " ! "Away" "
> 2 GeV Sherpa w/o MIT, jet1P
! "Transverse" "! "Toward" " ! "Away" "
> 2 GeV PYTHIA w/ MIT, jet1P
> 2 GeV Sherpa w/ MIT, jet1P
° in
3.6
Cha
rged
N
-110
1
10
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
Track Finding Efficiency: 0.92
>0.5Tp |<1.0#|Theory / Data - 1
-0.2-0.1
00.10.2
° jet1!$%0 20 40 60 80 100 120 140 160 180
pT,jet1 > 2GeV
!!"#$%&'()&*(+,(
-.$&/*.01(
!"!"!"!"
2304#$'5(
23$#167&$6&5( 23$#167&$6&5(
284#95(
2304#$'5(:!"!"!"!":(;(<=0(:####:(;(,(23$#167&$6&5(<=0(;(:!"!"!"!":(;(,>=0(:####:(;(,(
284#95(:!"!"!"!":(?(,>=0(:####:(;(,(!
1
Charged multiplicity vs. !!!jet1
relative to leading charged particle jetfor different pT,jet1
1
TeV4LHC, CERN, April 29. 2005 – p.12
N vs. Δφ in CTCfor different p of leading charged particle jet
Charged jet1T
MultiplE Parton Interactions
Stefan Höche, WG Seminar Dortmund, 22.8.2006
1
Cluster Fragmentation
!!
!"
#
$$
"!
!
#
!
!!
!"
#
$$
"!
!
#
! 1
N2
C
f!f
!
f
C
X
Y
!
"C
Y
f
X"
!
f!f
!
f
C
X
Y
!
"C
Y
f
X"
!
1
N2
C
Sherpas cluster fragementation model:J. Winter, F. Krauss, G. Soff Eur. Phys. J. C36: 381-395, 2004
Colour ordered partons transformed into primary clustersaccording to combination of
kinematical weight
Wij, kl =t0
t0 + 4(wij + wkl)2
colour weight
Clusters decayed according to overlap between cluster mass and hadron mass spectrum
cluster mass in hadron regime transition to hadronelse 2-body decayC HH, C CH or C CCcombined weight applied again1
1with t replaced by Q (hadronic scale)0 0 Stefan Höche, WG Seminar Dortmund, 22.8.2006
Results for e+e! !H
chhem,udsN
0 5 10 15 20 25 30 35 40
)c
hh
em
,ud
s)
(dn
/dN
ev
en
t(1
/n
0
0.02
0.04
0.06
0.08
0.1
0.12
Charged particle hemisphere multiplicity distribution
MC simulation
SHERPA preliminary
mean: 10.0722
Experimental data
OPAL
cm energy = 91.2 GeV
uds only
0 5 10 15 20 25 30 35 40-1
-0.8
-0.6
-0.4
-0.2
-0
0.2
0.4
0.6
0.8
1
0
5
10
15
20
25
30
1 10 100
Ecm /GeV
!Nch"
SHERPA preliminary
e+e# data
$$2, MARK I
LENA
CL
EO
HR
S, T
PC
JADE, TASSO
AMY
TO
PA
Z, V
EN
US
MA
RK
II
ALEPH, DELPHIL3, OPAL
Correction for heavy quarks
"Nch# = "N udsch # + fc!c + fb!b
DPG-Tagung Mainz, 30. Marz 2004 – p.5
N vs. E charged cms
Cluster Fragmentation
J. Winter, F. Krauss, G. Soff Eur. Phys. J. C36: 381-395, 2004
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Cluster Fragmentation
J. Winter, F. Krauss, G. Soff Eur. Phys. J. C36: 381-395, 2004
Results for e+e! !H
pudsx
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
)pu
ds
) (d
n/d
x0
(1/n
10-2
10-1
1
10
102
Charged particle scaled momentum distribution
MC simulations
PYTHIA-6.1
HERWIG-6.1
SHERPA preliminary
Experimental data:
SLD
cm energy = 91.2 GeV
uds only
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1-0.6
-0.4
-0.2
0
0.2
0.4
0.6puds!
0 1 2 3 4 5 6 7 8 9 10
)pu
ds
!)
(dn
/d0
(1/n
0
1
2
3
4
5
6
7
) distributionpCharged particle log( 1 / x
MC simulations
PYTHIA-6.1
HERWIG-6.1
SHERPA preliminary
Experimental data:
OPAL
cm energy = 91.2 GeV
uds only
0 1 2 3 4 5 6 7 8 9 10-0.5
-0.4
-0.3
-0.2
-0.1
-0
0.1
0.2
0.3
0.4
0.5
DPG-Tagung Mainz, 30. Marz 2004 – p.6
log charged scaled momentum
Stefan Höche, WG Seminar Dortmund, 22.8.2006
pudsx
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
)pu
ds
) (d
n/d
xeven
t(1
/n
10-5
10-4
10-3
10-2
10-1
1
10
102
Charged particle scaled momentum distribution
MC simulations
PYTHIA-6.1
HERWIG-6.1
SHERPA preliminary
mean: 0.0616581 mean: 0.0637626 mean: 0.0605735
Experimental data
OPAL
DELPHI
SLD
cm energy = 91.2 GeV
uds only
Charged particle scaled momentum
Cluster Fragmentation
J. Winter, F. Krauss, G. Soff Eur. Phys. J. C36: 381-395, 2004
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Hadron & T Decays
Sherpas hadron decay package:Full flexibility, all information is read from parameter files( branching ratios, decay channels, form factors, integrators )
So far not too many hadron decays ( PYTHIA for the rest ... )
Frank Siegert at TU Dresden
Easy to extend with specific decay modes / models( feel free to add your favourite decay ... )
Extensively tested in τ decays
Jan Stieglitz & SH at Uni Dortmund
Full spin information from matrix element, if needed
This is being worked on:(special emphasis on Bs)
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Hadron & T Decays
Example: parameter files for τ decaysHadronDecays.dat :#-------------------------------------------------------
#-- Files for hadron decay tables ----------------------
#-------------------------------------------------------
# particle -> directory/ name.dat do not forget the / and space
# Taus
15 -> tau-/ Decays.dat;
# Pseudoscalars
111 -> pi/ Decays.dat;
211 -> pi+/ Decays.dat;
...
Stefan Höche, WG Seminar Dortmund, 22.8.2006
tau-/Decays.dat :# outgoing part. | BR | DC-file
# leptonic
{16,11,-12} | 0.1784 | Tau_Electron.dat;
{16,13,-14} | 0.1736 | Tau_Muon.dat;
# modes with 1 pseudoscalar
{16,-211} | 0.1106 | Tau_Pion.dat;
{16,-321} | 0.00686 | Tau_Kaon.dat;
...
Hadron & T Decays
Example: parameter files for τ decays
Stefan Höche, WG Seminar Dortmund, 22.8.2006
# Decay: tau- --> nu_tau nu_eb e-
# 0 --> 1 2 3
Channels {
AlwaysIntegrate = 0; ! 0...read results and skip integration
! 1...don't read results and integrate
Isotropic 1;
}
Parameters {
v = 1. ! V-A structure of tau-nutau
a = 1.
v2 = 1. ! V-A structure of elec-nuelec
a2 = 1.
}
Result {
3.83691e-13 8.60159e-16 2.04794e-12;
}
tau-/Tau_Electron.dat :
Hadron & T Decays
Example: parameter files for τ decays
Stefan Höche, WG Seminar Dortmund, 22.8.2006
T Decays
Decay kinematics in hadronic τ decays
Breit-Wigner form factor parametrisationin particular: Kühn-Santamaria model J. H. Kühn, A. Santamaria, Z. Phys. C48 (1990) 445
Resonance chiral theoryG. Ecker et al., Nucl. Phys. B321 (1989), 311 parameters: chiral couplings of meson resonances
Decay kinematics in leptonicτ decays
where Lµ
l= !!l|"
µ(a " b"5)|l#M =
GF!2
L!
µLµ
l
left handed currents: a=b=1 ( EW Lagrangian )
Stefan Höche, WG Seminar Dortmund, 22.8.2006
5 Results and Discussion
This chapter is dedicated to the presentation of some results which were obtained by em-ploying the new HADRONS++ module.
5.1 Leptonic Channels
The leptonic channels can be treated analytically. So comparing the analytical solution of adistribution with the simulation provides an excellent sanity check if the implementation iscorrect. Setting a2 = b2 = 1 in Eq. (4.4), it can be shown that the energy spectrum [25] ofthe outgoing lepton is
d!(!! ! l!"l"! )
dE=
a21 + b2
1
2
G2F |#p|E
3(2$)3"
!
12"
M2! + m2
l # 2M!E#
+(a1 + b1)2
a21 + b2
1
$
8M!E # 3M2! # m2
l
%
3 +2M!
E
&' (
(5.1)
Figure 5.1: Energy spectrum of the outgoing electron in the ! rest frame.
sanity check: test of V-A structure energy in decay! ! "! e
!
"ee!
T Decays
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Invariant mass spectrum in ! ! K
!
"+"!
#!
T Decays
Stefan Höche, WG Seminar Dortmund, 22.8.2006
CLEO-CONF-94-23
Eur. Phys. J. C4 (1998) 409HADRONIC DECAYS
COMPARISON
0.001
0.01
0.1
1
0 0.5 1 1.5 2 2.5 3 3.5
1/N
dN
/dm
2 [
GeV
-2]
m23! [GeV
2]
invariant mass distribution
"# --> !
#!#!+$"
Resonance Chiral TheoryKuehn Santamaria Model
ALEPH 98
THOMAS LAUBRICH (TU DRESDEN) TAU DECAYS WITH SHERPA SEPTEMBER 2ND, 2005 12 / 15
Invariant mass spectrum in ! ! "! #
!
#!
#+
T Decays
Stefan Höche, WG Seminar Dortmund, 22.8.2006
proof-of-concept: -correlations in
!!e+e!
1 !
d!
d!
"e+e!
e+e!
! tt ! e+!ebe
!
!eb
!
sPin Correlations
Stefan Höche, WG Seminar Dortmund, 22.8.2006
sPin Correlations
PYTHIA+TAUOLA: hep-ph/01013115.3 Spin Correlations 67
Figure 5.14: Energy distribution of the outgoing !! in the rest frame of the W!-boson. Theblack line corresponds to a simulation with PYTHIA [5] and TAUOLA [6] published in Ref. [46].
The " polarisation is then P! = !1 [46] so that the distribution slope is maximally negativeand touches zero at z = 1. The respective distribution is shown in Fig. 5.14.
-energy distribution inW
!
! !!
"! ! "!#"!
! Z ! W+W
!
Stefan Höche, WG Seminar Dortmund, 22.8.2006
Sherpa has proven to be a powerful toolto describe LEP and Tevatron dataLHC predictions are in excellent agreement with other codes ( e.g. hep-ph/0602031 )The new hadron decay package is well under way
Future plans
Tuning of cluster fragmentation modelImprovement of multi-jet ME calculation
Extension of hadron decay package ...
summary / Outlook
for further information on Sherpaplease visit our web site
WWW.sherpa-mc.de
or send us an E-mail