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PythiaUEProQ20Settings_cfi.py
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1 import FWCore.ParameterSet.Config as cms
2 
3 pythiaUESettingsBlock = cms.PSet(
4  pythiaUESettings = cms.vstring(
5  'MSTU(21)=1 ! Check on possible errors during program execution',
6  'MSTJ(22)=2 ! Decay those unstable particles',
7  'PARJ(71)=10 . ! for which ctau 10 mm',
8  'MSTP(2)=1 ! which order running alphaS',
9  'MSTP(33)=0 ! no K factors in hard cross sections',
10  'MSTP(51)=7 ! structure function chosen (internal PDF CTEQ5L)',
11  'MSTP(52)=1 ! work with LHAPDF',
12  'PARJ(1)=0.073 ! FLAV (Tuned by Professor on LEP data)',
13  'PARJ(2)=0.2 ! FLAV (Tuned by Professor on LEP data)',
14  'PARJ(3)=0.94 ! FLAV (Tuned by Professor on LEP data)',
15  'PARJ(4)=0.032 ! FLAV (Tuned by Professor on LEP data)',
16  'PARJ(11)=0.31 ! FLAV (Tuned by Professor on LEP data)',
17  'PARJ(12)=0.4 ! FLAV (Tuned by Professor on LEP data)',
18  'PARJ(13)=0.54 ! FLAV (Tuned by Professor on LEP data)',
19  'PARJ(25)=0.63 ! FLAV (Tuned by Professor on LEP data)',
20  'PARJ(26)=0.12 ! FLAV (Tuned by Professor on LEP data)',
21  'MSTJ(11)=5 ! HAD Choice of the fragmentation function',
22  'PARJ(21)=0.313 ! HAD (Tuned by Professor on LEP data)',
23  'PARJ(41)=0.49 ! HAD (Tuned by Professor on LEP data)',
24  'PARJ(42)=1.2 ! HAD (Tuned by Professor on LEP data)',
25  'PARJ(46)=1.0 ! HAD (Tuned by Professor on LEP data)',
26  'PARJ(47)=1.0 ! HAD (Tuned by Professor on LEP data)',
27  'PARP(62)=2.9 ! ISR',
28  'PARP(64)=0.14 ! ISR',
29  'PARP(67)=2.65 ! ISR',
30  'MSTP(81)=1 ! MPI 1 is old Pythia set of models',
31  'MSTP(82)=4 ! MPI model',
32  'PARP(82)=1.9 ! MPI pt cutoff for multiparton interactions',
33  'PARP(83)=0.83 ! MPI matter distrbn parameter',
34  'PARP(84)=0.6 ! MPI matter distribution parameter',
35  'PARP(85)=0.86 ! MPI gluon prod. mechanism',
36  'PARP(86)=0.93 ! MPI gluon prod. mechanism',
37  'PARP(89)=1800. ! MPI sqrts for which PARP82 is set',
38  'PARP(90)=0.22 ! MPI rescaling power',
39  'MSTP(91)=1 ! BR',
40  'PARP(91)=2.1 ! BR kt distribution',
41  'PARP(93)=5.0 ! BR'
42  )
43 )