IndexError: no such group
Affects | Status | Importance | Assigned to | Milestone | |
---|---|---|---|---|---|
MadGraph5_aMC@NLO |
Invalid
|
Undecided
|
Unassigned |
Bug Description
Dear experts,
I got the error "IndexError: no such group" [1] and the corresponding bug report [2] at the very end stage of
the gridpacks production. You can find the logs and the output gridpacks in https:/
The used cards and the documentation are placed in the following
repository: https:/
Given that the W boson decay is defined in the madspin file and the NLO
reweighting is applied over the proc_card processes, a change in the the
order of the reweighting and the decay steps through a patch is
needed as discussed in
https:/
this fact is related to the error.
Any help is welcome.
Thanks,
Pedro
[1].
Command "launch -n pilotrun" interrupted with error: IndexError : no
such group Please report this bug on
https:/
'/home/
Please attach this file to your report. Command "reweight
/home/fernanpe/
-from_cards --multicore=create" interrupted with error: IndexError : no
such group Please report this bug on
https:/
'/home/
Please attach this file to your report.
[2].
#******
#* MadGraph5_aMC@NLO *
#* *
#* * * *
#* * * * * *
#* * * * * 5 * * * * *
#* * * * * *
#* * * *
#* *
#* *
#* VERSION 5.2.6.5 20xx-xx-xx *
#* *
#* The MadGraph5_aMC@NLO Development Team - Find us at *
#* https:/
#* and *
#* http://
#* *
#******
#* *
#* Command File for aMCatNLO *
#* *
#* run as ./bin/aMCatNLO.py filename *
#* *
#******
reweight /home/fernanpe/
Traceback (most recent call last):
File "/home/
return self.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
reweight_
File "/home/
self.
File "/home/
stop = Cmd.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
return self.exec_
File "/home/
stop = Cmd.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
out = f(self, *args, **opt)
File "/home/
self.
File "/home/
out = f(self, *args, **opt)
File "/home/
has_nlo = self.create_
File "/home/
out = f(self, *args, **opt)
File "/home/
mgcmd.
File "/home/
line = current_
File "/home/
stop = self.onecmd_
File "/home/
return func(arg, **opt)
File "/home/
return self.cmd.
File "/home/
self.do_add(" ".join(args))
File "/home/
return self.cmd.
File "/home/
myprocdef = self.extract_
File "/home/
line = '%s %s' % (order_
IndexError: no such group
Value of current Options:
cluster_
automatic_
exrootana
notificat
#******
#* MadGraph5_aMC@NLO *
#* *
#* * * *
#* * * * * *
#* * * * * 5 * * * * *
#* * * * * *
#* * * *
#* *
#* *
#* VERSION 2.6.5 2018-02-03 *
#* *
#* The MadGraph5_aMC@NLO Development Team - Find us at *
#* https:/
#* *
#******
#* *
#* Command File for MadGraph5_aMC@NLO *
#* *
#* run as ./bin/mg5_aMC filename *
#* *
#******
set default_
set group_subprocesses Auto
set ignore_
set loop_optimized_
set loop_color_flows False
set gauge unitary
set complex_mass_scheme False
set max_npoint_
import model EWdim6NLO-
define l+ = e+ mu+
define l- = e- mu-
define j = g u c d s u~ c~ d~ s~
define p = g u c d s u~ c~ d~ s~
define ell+ = e+ mu+ ta+
define ell- = e- mu- ta-
define V = w+ w-
define vl = ve vm vt
define vl~ = ve~ vm~ vt~
generate p p > ell+ vl w- $$ t t~ H QED=3 [QCD] @0
add process p p > ell+ vl w- j $$ t t~ H QED=3 [QCD] @1
add process p p > ell- vl~ w+ $$ t t~ H QED=3 [QCD] @2
add process p p > ell- vl~ w+ j $$ t t~ H QED=3 [QCD] @3
output WWTolnulnu_
#######
## PARAM_CARD AUTOMATICALY GENERATED BY MG5 ####
#######
#######
## INFORMATION FOR DIM6
#######
BLOCK DIM6 #
1 3.000000e+00 # cwwwl2
2 4.000000e+00 # cwl2
3 2.000000e+01 # cbl2
#######
## INFORMATION FOR LOOP
#######
BLOCK LOOP #
1 9.118800e+01 # mu_r
#######
## INFORMATION FOR MASS
#######
BLOCK MASS #
5 4.700000e+00 # mb
6 1.720000e+02 # mt
23 9.118760e+01 # mz
25 1.200000e+02 # mh
1 0.000000e+00 # d : 0.0
2 0.000000e+00 # u : 0.0
3 0.000000e+00 # s : 0.0
4 0.000000e+00 # c : 0.0
11 0.000000e+00 # e- : 0.0
12 0.000000e+00 # ve : 0.0
13 0.000000e+00 # mu- : 0.0
14 0.000000e+00 # vm : 0.0
15 0.000000e+00 # ta- : 0.0
16 0.000000e+00 # vt : 0.0
21 0.000000e+00 # g : 0.0
22 0.000000e+00 # a : 0.0
24 7.982436e+01 # w+ : cmath.sqrt(
9000002 9.118760e+01 # ghz : mz
9000003 7.982436e+01 # ghwp : mw
9000004 7.982436e+01 # ghwm : mw
#######
## INFORMATION FOR SMINPUTS
#######
BLOCK SMINPUTS #
1 1.279000e+02 # aewm1
2 1.166370e-05 # gf
3 1.184000e-01 # as
#######
## INFORMATION FOR YUKAWA
#######
BLOCK YUKAWA #
5 4.700000e+00 # ymb
6 1.720000e+02 # ymt
15 1.777000e+00 # ymtau
#######
## INFORMATION FOR DECAY
#######
DECAY 6 1.508336e+00 # wt
DECAY 15 2.270000e-12 # wtau
DECAY 23 2.495200e+00 # wz
DECAY 24 2.085000e+00 # ww
DECAY 25 5.753088e-03 # wh
DECAY 1 0.000000e+00 # d : 0.0
DECAY 2 0.000000e+00 # u : 0.0
DECAY 3 0.000000e+00 # s : 0.0
DECAY 4 0.000000e+00 # c : 0.0
DECAY 5 0.000000e+00 # b : 0.0
DECAY 11 0.000000e+00 # e- : 0.0
DECAY 12 0.000000e+00 # ve : 0.0
DECAY 13 0.000000e+00 # mu- : 0.0
DECAY 14 0.000000e+00 # vm : 0.0
DECAY 16 0.000000e+00 # vt : 0.0
DECAY 21 0.000000e+00 # g : 0.0
DECAY 22 0.000000e+00 # a : 0.0
#######
## INFORMATION FOR QNUMBERS 9000001
#######
BLOCK QNUMBERS 9000001 # gha
1 0 # 3 times electric charge
2 1 # number of spin states (2s+1)
3 1 # colour rep (1: singlet, 3: triplet, 8: octet)
4 1 # particle/
#######
## INFORMATION FOR QNUMBERS 9000002
#######
BLOCK QNUMBERS 9000002 # ghz
1 0 # 3 times electric charge
2 1 # number of spin states (2s+1)
3 1 # colour rep (1: singlet, 3: triplet, 8: octet)
4 1 # particle/
#######
## INFORMATION FOR QNUMBERS 9000003
#######
BLOCK QNUMBERS 9000003 # ghwp
1 3 # 3 times electric charge
2 1 # number of spin states (2s+1)
3 1 # colour rep (1: singlet, 3: triplet, 8: octet)
4 1 # particle/
#######
## INFORMATION FOR QNUMBERS 9000004
#######
BLOCK QNUMBERS 9000004 # ghwm
1 -3 # 3 times electric charge
2 1 # number of spin states (2s+1)
3 1 # colour rep (1: singlet, 3: triplet, 8: octet)
4 1 # particle/
#######
## INFORMATION FOR QNUMBERS 82
#######
BLOCK QNUMBERS 82 # ghg
1 0 # 3 times electric charge
2 1 # number of spin states (2s+1)
3 8 # colour rep (1: singlet, 3: triplet, 8: octet)
4 1 # particle/
#******
# MadGraph5_aMC@NLO *
# *
# run_card.dat aMC@NLO *
# *
# This file is used to set the parameters of the run. *
# *
# Some notation/
# *
# Lines starting with a hash (#) are info or comments *
# *
# mind the format: value = variable ! comment *
# *
# Some of the values of variables can be list. These can either be *
# comma or space separated. *
#******
#
#******
# Running parameters
#******
#
#******
# Tag name for the run (one word) *
#******
tag_1 = run_tag ! name of the run
#******
# Number of LHE events (and their normalization) and the required *
# (relative) accuracy on the Xsec. *
# These values are ignored for fixed order runs *
#******
150 = nevents ! Number of unweighted events requested
0.001 = req_acc ! Required accuracy (-1=auto determined from nevents)
100 = nevt_job! Max number of events per job in event generation.
! (-1= no split).
#******
# Normalize the weights of LHE events such that they sum or average to *
# the total cross section *
#******
average = event_norm ! average or sum
#******
# Number of points per itegration channel (ignored for aMC@NLO runs) *
#******
0.01 = req_acc_FO ! Required accuracy (-1=ignored, and use the
# These numbers are ignored except if req_acc_FO is equal to -1
5000 = npoints_FO_grid ! number of points to setup grids
4 = niters_FO_grid ! number of iter. to setup grids
10000 = npoints_FO ! number of points to compute Xsec
6 = niters_FO ! number of iter. to compute Xsec
#******
# Random number seed *
#******
0 = iseed ! rnd seed (0=assigned automatically=
#******
# Collider type and energy *
#******
1 = lpp1 ! beam 1 type (0 = no PDF)
1 = lpp2 ! beam 2 type (0 = no PDF)
6500.0 = ebeam1 ! beam 1 energy in GeV
6500.0 = ebeam2 ! beam 2 energy in GeV
#******
# PDF choice: this automatically fixes also alpha_s(MZ) and its evol. *
#******
lhapdf = pdlabel ! PDF set
325500 = lhaid
#******
# Include the NLO Monte Carlo subtr. terms for the following parton *
# shower (HERWIG6 | HERWIGPP | PYTHIA6Q | PYTHIA6PT | PYTHIA8) *
# WARNING: PYTHIA6PT works only for processes without FSR!!!! *
#******
PYTHIA8 = parton_shower
1.0 = shower_scale_factor ! multiply default shower starting
#******
# Renormalization and factorization scales *
# (Default functional form for the non-fixed scales is the sum of *
# the transverse masses divided by two of all final state particles *
# and partons. This can be changed in SubProcesses/
# dynamical_
#******
False = fixed_ren_scale ! if .true. use fixed ren scale
False = fixed_fac_scale ! if .true. use fixed fac scale
91.118 = muR_ref_fixed ! fixed ren reference scale
91.118 = muF_ref_fixed ! fixed fact reference scale
-1 = dynamical_
! dynamical choices. Can be a list; scale choices beyond the
! first are included via reweighting
1.0 = muR_over_ref ! ratio of current muR over reference muR
1.0 = muF_over_ref ! ratio of current muF over reference muF
#******
# Reweight variables for scale dependence and PDF uncertainty *
#******
1.0, 2.0, 0.5 = rw_rscale ! muR factors to be included by reweighting
1.0, 2.0, 0.5 = rw_fscale ! muF factors to be included by reweighting
True = reweight_scale ! Reweight to get scale variation using the
! rw_rscale and rw_fscale factors. Should be a list of
! booleans of equal length to dynamical_
! specify for which choice to include scale dependence.
True = reweight_PDF ! Reweight to get PDF uncertainty. Should be a
! list booleans of equal length to lhaid to specify for
! which PDF set to include the uncertainties.
#******
# Store reweight information in the LHE file for off-line model- *
# parameter reweighting at NLO+PS accuracy *
#******
True = store_rwgt_info ! Store info for reweighting in LHE file
#******
# ickkw parameter: *
# 0: No merging *
# 3: FxFx Merging - WARNING! Applies merging only at the hard-event *
# level. After showering an MLM-type merging should be applied as *
# well. See http://
# 4: UNLOPS merging (with pythia8 only). No interface from within *
# MG5_aMC available, but available in Pythia8. *
# -1: NNLL+NLO jet-veto computation. See arxiv:1412.8408 [hep-ph]. *
#******
3 = ickkw
#******
#
#******
# BW cutoff (M+/-bwcutoff*
# written in the LHE event file *
#******
15.0 = bwcutoff
#******
# Cuts on the jets. Jet clustering is performed by FastJet. *
# - When matching to a parton shower, these generation cuts should be *
# considerably softer than the analysis cuts. *
# - More specific cuts can be specified in SubProcesses/cuts.f *
#******
1.0 = jetalgo ! FastJet jet algorithm (1=kT, 0=C/A, -1=anti-kT)
1.0 = jetradius ! The radius parameter for the jet algorithm
15.0 = ptj ! Min jet transverse momentum
-1.0 = etaj ! Max jet abs(pseudo-rap) (a value .lt.0 means no cut)
#******
# Cuts on the charged leptons (e+, e-, mu+, mu-, tau+ and tau-) *
# More specific cuts can be specified in SubProcesses/cuts.f *
#******
18. = ptl ! Min lepton transverse momentum
2.6 = etal ! Max lepton abs(pseudo-rap) (a value .lt.0 means no cut)
0.0 = drll ! Min distance between opposite sign lepton pairs
0.0 = drll_sf ! Min distance between opp. sign same-flavor lepton pairs
0.0 = mll ! Min inv. mass of all opposite sign lepton pairs
4.0 = mll_sf ! Min inv. mass of all opp. sign same-flavor lepton pairs
#******
# Photon-isolation cuts, according to hep-ph/9801442. When ptgmin=0, *
# all the other parameters are ignored. *
# More specific cuts can be specified in SubProcesses/cuts.f *
#******
20.0 = ptgmin ! Min photon transverse momentum
-1.0 = etagamma ! Max photon abs(pseudo-rap)
0.4 = R0gamma ! Radius of isolation code
1.0 = xn ! n parameter of eq.(3.4) in hep-ph/9801442
1.0 = epsgamma ! epsilon_gamma parameter of eq.(3.4) in hep-ph/9801442
True = isoEM ! isolate photons from EM energy (photons and leptons)
#******
# For aMCfast+APPLGRID use in PDF fitting (http://
#******
0 = iappl ! aMCfast switch (0=OFF, 1=prepare grids, 2=fill grids)
#******
4 = maxjetflavor
False = reweight_scale
False = reweight_PDF
True = store_rwgt_info
Changed in mg5amcnlo: | |
status: | New → Invalid |
The link that you give:https:/ /answers. launchpad. net/mg5amcnlo/ +question/ 482763
does not speak about inverting the step (at least I failed that discussion)
But this does not seem to me that you can "simply" flip the two.
You will face a lot of problem when flipping them. The biggest of all is that MadSpin will need to evaluate matrix-element that we are not able to generate right now.
If something is going trough it is certainly not NLO accurate.
So I do not think that such strategy can work for NLO generation,
Cheers,
Olivier