generation of NLO and LO samples needed for the evaluation of the k-factor

Asked by Marta Czurylo

Dear Experts,

I have a few questions regarding the generation of NLO and LO samples needed for the evaluation of the k-factor.

To introduce, in the analysis I consider 6 jets in the final state, however, I only produce the 4b QCD background and I get the other jets come from Pythia showering.

I generated events using (model is set to the standard model)
generate p p > b b~ b b~ / h QED=0 QCD=4

Now I am a bit confused how to proceed with the generation of samples that I need for the k-factor calculation.

I am using MadGraph2.9.10.

For the beginning I only tried generating the NLO sample using:
generate p p > b b~ b b~ / h QED=0 QCD=4 [QCD]
and after "launch" I have or re-set:

order=NLO
fixed_order=OFF
shower=PYTHIA8
madspin=OFF
reweight=OFF

For the run_card settings I use the following:

set dynamical_scale_choice 3
set pdlabel lhapdf
set lhaid 260400 à NNPDF30_nlo_as_0118_nf_4
set ptj 10

I also generate the LO sample using the same generate:
generate p p > b b~ b b~ / h QED=0 QCD=4 [QCD]
but switching the order=LO.

So comparing these two samples would be the simplest approach, but I skip the NLO merging step, which I guess I should not skip.

I wanted to apply the UNLOPS merging to the NLO samples first so I did:
generate p p > b b~ b b~ / h QED=0 QCD=4 [QCD]
generate p p > b b~ b b~ j / h QED=0 QCD=4 [QCD]

(Note: I didn't add "@0" and "@1" at the end of these lines though, I'm not sure how important that is)

But very quickly I got an error:
Command "generate p p> b b~ b b~ j / h QED=0 QCD=4 [QCD]" interrupted with error:
NoDiagramException : No amplitudes generated from process
Process: g/u/c/d/s/u~/c~/d~/s~g/u/c/d/s/u~/c~/d~/s~>bb~bb~g/u/c/d/s/u~/c~/d~/S~/hQCD=4QED=@[noborn=QCD].

I then also tried running a simplified version (however maybe incorrect):

generate p p > b b~ b b~ [QCD]
generate p p > b b~ b b~ j [QCD]

(again without "@0" and "@1" at the end of these lines though)

I used the same settings:
order=NLO
fixed_order=OFF
shower=PYTHIA8
madspin=OFF
reweight=OFF

set dynamical_scale_choice 3
set pdlabel lhapdf
set lhaid 260400 à NNPDF30_nlo_as_0118_nf_4
set ptj 10

but also added:
set ickkw=4

for the UNLOPS merging.

However, after the launch command I get the following error:
Command "launch auto " interrupted with error:
FileNotFoundError : [Errno 2] No such file or directory: '/MG5_aMC_v2_9_10/merging_NLO_try1/SubProcesses/P0_gg_bbbxbxg/check_poles.log'
I'm attaching this log file at the end of my question.

Given the problem description would you have any suggestions how to proceed, namely:

1. Is the merging approach I am trying to follow a correct approach?
2. What is the reason behind the issue in the merging scheme generation: generate p p > b b~ b b~ j / h QED=0 QCD=4 [QCD]? Maybe this is obvious but I am very new to this so I am really confused.
3. How significant are @0 and @1 at the end of the lines? The program did not complain about it at first but maybe this is crucial?
4. If the correct way is to proceed with (but of course solving the error that I mentioned before related to "check_poles.log")
generate p p > b b~ b b~ [QCD]
generate p p > b b~ b b~ j [QCD]

what are the settings I should use?
In particular, should "reweight=OFF" or "reweight=ON"?
Will the UNLOPS method work directly from mg5_aMC shell or something else needs to be done?

I will appreciate any help/comments. In case any clarification of the questions is needed, please let me know.

Kind regards,
Marta

The run_01_tag_1_debug.log reads:

#************************************************************
#* MadGraph5_aMC@NLO *
#* *
#* * * *
#* * * * * *
#* * * * * 5 * * * * *
#* * * * * *
#* * * *
#* *
#* *
#* VERSION 2.9.10 2022-05-06 *
#* *
#* The MadGraph5_aMC@NLO Development Team - Find us at *
#* https://server06.fynu.ucl.ac.be/projects/madgraph *
#* and *
#* http://amcatnlo.cern.ch *
#* *
#************************************************************
#* *
#* Command File for aMCatNLO *
#* *
#* run as ./bin/aMCatNLO.py filename *
#* *
#************************************************************
launch auto
Traceback (most recent call last):
  File "/local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/madgraph/interface/extended_cmd.py", line 1541, in onecmd
    return self.onecmd_orig(line, **opt)
  File "/local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/madgraph/interface/extended_cmd.py", line 1490, in onecmd_orig
    return func(arg, **opt)
  File "/local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/madgraph/interface/amcatnlo_run_interface.py", line 1698, in do_launch
    self.compile(mode, options)
  File "/local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/madgraph/interface/amcatnlo_run_interface.py", line 5259, in compile
    self.check_tests(test, this_dir)
  File "/local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/madgraph/interface/amcatnlo_run_interface.py", line 5272, in check_tests
    return self.parse_check_poles_log(pjoin(dir, '%s.log' % test))
  File "/local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/madgraph/interface/amcatnlo_run_interface.py", line 5291, in parse_check_poles_log
    content = open(log).read()
FileNotFoundError: [Errno 2] No such file or directory: '/local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/merging_NLO_try1/SubProcesses/P0_gg_bbbxbxg/check_poles.log'
Related File: /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/merging_NLO_try1/SubProcesses/P0_gg_bbbxbxg/check_poles.log
Value of current Options:
             pythia8_path : /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/HEPTools/pythia8
                hwpp_path : None
              thepeg_path : None
               hepmc_path : None
         madanalysis_path : None
        madanalysis5_path : /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/HEPTools/madanalysis5/madanalysis5
          pythia-pgs_path : None
                  td_path : None
             delphes_path : None
      exrootanalysis_path : None
             syscalc_path : None
                  timeout : 60
              web_browser : None
               eps_viewer : None
              text_editor : None
         fortran_compiler : None
            f2py_compiler : None
        f2py_compiler_py2 : None
        f2py_compiler_py3 : None
             cpp_compiler : None
             cluster_type : condor
            cluster_queue : None
    cluster_status_update : (600, 30)
                  fastjet : fastjet-config
                    golem : /cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/lib
                  samurai : None
                    ninja : /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/HEPTools/lib
                  collier : /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/HEPTools/lib
                   lhapdf : lhapdf-config
               lhapdf_py2 : None
               lhapdf_py3 : lhapdf-config
                 applgrid : applgrid-config
                  amcfast : amcfast-config
        cluster_temp_path : None
mg5amc_py8_interface_path : /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/HEPTools/MG5aMC_PY8_interface
       cluster_local_path : None
                      OLP : MadLoop
         cluster_nb_retry : 1
       cluster_retry_wait : 300
             cluster_size : 100
      output_dependencies : external
           crash_on_error : False
       auto_convert_model : False
       group_subprocesses : Auto
ignore_six_quark_processes : False
low_mem_multicore_nlo_generation : False
      complex_mass_scheme : False
                    gauge : unitary
             stdout_level : 20
    loop_optimized_output : True
         loop_color_flows : False
   max_npoint_for_channel : 0
  default_unset_couplings : 99
        max_t_for_channel : 99
       zerowidth_tchannel : True
              auto_update : 7
   automatic_html_opening : False
                 run_mode : 2
                  nb_core : 96
      notification_center : True
                 mg5_path : /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10
#************************************************************
#* MadGraph5_aMC@NLO *
#* *
#* * * *
#* * * * * *
#* * * * * 5 * * * * *
#* * * * * *
#* * * *
#* *
#* *
#* VERSION 2.9.10 2022-05-06 *
#* *
#* The MadGraph5_aMC@NLO Development Team - Find us at *
#* https://server06.fynu.ucl.ac.be/projects/madgraph *
#* *
#************************************************************
#* *
#* Command File for MadGraph5_aMC@NLO *
#* *
#* run as ./bin/mg5_aMC filename *
#* *
#************************************************************
set group_subprocesses Auto
set ignore_six_quark_processes False
set low_mem_multicore_nlo_generation False
set complex_mass_scheme False
set gauge unitary
set loop_optimized_output True
set loop_color_flows False
set max_npoint_for_channel 0
set default_unset_couplings 99
set max_t_for_channel 99
set zerowidth_tchannel True
define p = g u c d s u~ c~ d~ s~
define j = g u c d s u~ c~ d~ s~
define l+ = e+ mu+
define l- = e- mu-
define vl = ve vm vt
define vl~ = ve~ vm~ vt~
import model loop_sm
generate p p > b b~ b b~ j [QCD]
output merging_NLO_try1
######################################################################
## PARAM_CARD AUTOMATICALY GENERATED BY MG5 FOLLOWING UFO MODEL ####
######################################################################
## ##
## Width set on Auto will be computed following the information ##
## present in the decay.py files of the model. ##
## See arXiv:1402.1178 for more details. ##
## ##
######################################################################

###################################
## INFORMATION FOR MASS
###################################
Block mass
    5 4.700000e+00 # MB
    6 1.730000e+02 # MT
   15 1.777000e+00 # MTA
   23 9.118800e+01 # MZ
   25 1.250000e+02 # MH
## Dependent parameters, given by model restrictions.
## Those values should be edited following the
## analytical expression. MG5 ignores those values
## but they are important for interfacing the output of MG5
## to external program such as Pythia.
  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
  16 0.000000e+00 # vt : 0.0
  21 0.000000e+00 # g : 0.0
  22 0.000000e+00 # a : 0.0
  24 8.041900e+01 # w+ : cmath.sqrt(MZ__exp__2/2. + cmath.sqrt(MZ__exp__4/4. - (aEW*cmath.pi*MZ__exp__2)/(Gf*sqrt__2)))

###################################
## INFORMATION FOR SMINPUTS
###################################
Block sminputs
    1 1.325070e+02 # aEWM1
    2 1.166390e-05 # Gf
    3 1.180000e-01 # aS (Note that Parameter not used if you use a PDF set)

###################################
## INFORMATION FOR YUKAWA
###################################
Block yukawa
    5 4.700000e+00 # ymb
    6 1.730000e+02 # ymt
   15 1.777000e+00 # ymtau

###################################
## INFORMATION FOR DECAY
###################################
DECAY 6 1.491500e+00 # WT
DECAY 23 2.441404e+00 # WZ
DECAY 24 2.047600e+00 # WW
DECAY 25 6.382339e-03 # WH
## Dependent parameters, given by model restrictions.
## Those values should be edited following the
## analytical expression. MG5 ignores those values
## but they are important for interfacing the output of MG5
## to external program such as Pythia.
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 15 0.000000e+00 # ta- : 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
#===========================================================
# QUANTUM NUMBERS OF NEW STATE(S) (NON SM PDG CODE)
#===========================================================

Block QNUMBERS 82 # gh
        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/Antiparticle distinction (0=own anti)
#***********************************************************************
# MadGraph5_aMC@NLO *
# *
# run_card.dat aMC@NLO *
# *
# This file is used to set the parameters of the run. *
# *
# Some notation/conventions: *
# *
# 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. *
# *
# To display additional parameter, you can use the command: *
# update to_full *
#***********************************************************************
#
#*******************
# 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 *
#***********************************************************************
  5 = nevents ! Number of unweighted events requested
  -1.0 = req_acc ! Required accuracy (-1=auto determined from nevents)
  -1 = 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 ! valid settings: average, sum, bias
#***********************************************************************
# Number of points per itegration channel (ignored for aMC@NLO runs) *
#***********************************************************************
  0.01 = req_acc_fo ! Required accuracy (-1=ignored, and use the
                     ! number of points and iter. below)
# 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=default))
#***********************************************************************
# 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
  260400 = lhaid ! If pdlabel=lhapdf, this is the lhapdf number. Only
              ! numbers for central PDF sets are allowed. Can be a list;
              ! PDF sets beyond the first are included via reweighting.
#***********************************************************************
# 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
                                  ! scale by this factor
#***********************************************************************
# 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/set_scales.f or via *
# dynamical_scale_choice option) *
#***********************************************************************
  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
  3 = dynamical_scale_choice ! Choose one (or more) of the predefined
           ! 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_scale_choice to
            ! specify for which choice to include scale dependence.
  False = 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 *
#***********************************************************************
  False = 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://amcatnlo.cern.ch/FxFx_merging.htm for details. *
# 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]. *
#***********************************************************************
  4 = ickkw
#***********************************************************************
#
#***********************************************************************
# BW cutoff (M+/-bwcutoff*Gamma). Determines which resonances are *
# 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)
  0.7 = jetradius ! The radius parameter for the jet algorithm
  10.0 = 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 *
#***********************************************************************
  0.0 = ptl ! Min lepton transverse momentum
  -1.0 = 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
  30.0 = 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)
#***********************************************************************
# Cuts associated to MASSIVE particles identified by their PDG codes. *
# All cuts are applied to both particles and anti-particles, so use *
# POSITIVE PDG CODES only. Example of the syntax is {6 : 100} or *
# {6:100, 25:200} for multiple particles *
#***********************************************************************
  {} = pt_min_pdg ! Min pT for a massive particle
  {} = pt_max_pdg ! Max pT for a massive particle
  {} = mxx_min_pdg ! inv. mass for any pair of (anti)particles
#***********************************************************************
# For aMCfast+APPLGRID use in PDF fitting (http://amcfast.hepforge.org)*
#***********************************************************************
  0 = iappl ! aMCfast switch (0=OFF, 1=prepare grids, 2=fill grids)
#***********************************************************************

Question information

Language:
English Edit question
Status:
Open
For:
MadGraph5_aMC@NLO Edit question
Assignee:
Paolo Torrielli Edit question
Last query:
Last reply:
Revision history for this message
Olivier Mattelaer (olivier-mattelaer) said :
#1

Hi,

The main property of UNLOPS is the "U" in the name which stand for unitary.
This means that cross-section that you get after UNLOPS merging is exactly equal to the NLO one that you get from the lowest multiplicity sample.

So if you are interested in global K-factor (I mean at the total cross-section level) then it is certainly an overkill to use UNLOPS merging to compute such quantity.

The second issue is that I do not know how FxFx and UNLOPS will behave if you run those at LO accuracy.
Those methods are extension of LO equivalent (MLM for FxFx and UMEPS for UNLOPS) but I can not guarantee that setting LO accuracy will get back exactly to those methods neither that you can use the ratio as a K-factor.

Cheers,

Olivier

Revision history for this message
Marta Czurylo (martamaja10) said :
#2

Hi,

thank you for the answer!

For determining the k-factor differentially this method should work though?

I will double check how to proceed with merging at the LO.

Could I also just ask generally about the option (although maybe this is irrelevant for the merging case?):

5. Add weights to events for new hypp. | reweight = OFF | ON|NLO|NLO_TREE|LO

as the paper I was using to learn about different options doesn't seem to explain this https://arxiv.org/pdf/1405.0301.pdf

What exactly does this option change?

Kind regards,
Marta

Revision history for this message
Olivier Mattelaer (olivier-mattelaer) said :
#3

For differential k-factor, one should check more carefully the UNLOPS paper. I would bet that the unitary condition is actually a condition applied locally which we then keep the same conclusion as above. But I'm not expert enough in UNLOPS to comment without re-reading the paper carefully.

Even if this is not True, note that you can only compute differential K-factor on observables defines on object after the parton-shower (obviously you have exception for observables which are invariant).

Concerning re-weighting:
LO: means you reweight S-event by the born matrix-element and the H-event by real matrix-element.
NLO: means you reweight each contribution according to the full NLO accurate reweighting (see the paper for full detail)
NLO_TREE is the same as NLO but the Born/Virtual are both using the Born matrix-element for the reweighting instead of the complicated formula from the paper.

For both NLO and NLO_TREE you need to keep track of additional information in the leshouches event in order to have the information about event/counter-events/born/virtual/... This is controlled via the run_card (and likely set automatically if you set those on that value at that stage.

Cheers,

Olivier

Revision history for this message
Marta Czurylo (martamaja10) said :
#4

Dear Experts,

I am continuing work on generation of the "p p > b b~ b b~ / h QED=0 QCD=4 [QCD]" process. However, I encounter issues on the basic level. Namely, after generating events with Madgraph, the built in Pythia showering seems to get stuck (I tried many options, yet the outcome is the same):

INFO: Events generated
reweight -from_cards
decay_events -from_cards
INFO: Preparing MCatNLO run
INFO: Using LHAPDF v6.3.0 interface for PDFs
INFO: Compiling MCatNLO for PYTHIA8...
INFO: ... done
INFO: Showering events...
INFO: (Running in /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/test_LO_default_runcard/MCatNLO/RUN_PYTHIA8_1)
INFO: Idle: 1, Running: 0, Completed: 0 [ current time: 12h20 ]
INFO: Idle: 0, Running: 1, Completed: 0 [ 5m 0s ]

I followed a Madgraph tutorial in order to set everything up at the beginning but I really don't understand what is happening. Would you have any suggestions which checks should I make to make sure everything is installed correctly.

I have a version of Pythia8.307 installed outside of MG5_aMC, but I'm afraid it won't provide me with the shower matchingI need in order to eventually caculate the k-factor for my process.

I would appreciate any help!

Best wishes,
Marta

Revision history for this message
Olivier Mattelaer (olivier-mattelaer) said :
#5

Hi,

You can look at the directory /local1/czurylo/public/event-generators/MadGraph2.9.10/MG5_aMC_v2_9_10/test_LO_default_runcard/MCatNLO/RUN_PYTHIA8_1
where you should have a log file with the current status of the pythia8 job.

Cheers,

Olivier

Revision history for this message
Marta Czurylo (martamaja10) said :
#6

Hi,

the log file is empty (in the directory you mentioned: mcatnlo_run.log ). The problem that I keep having is that Pythia seems to just be stuck (I am only generating 5 events for the test) and after around 20 hours the state seems to be the same. I have tried this with the newest MG5_NLO version i.e 3.4.0 and the newest stable one 2.9.10.

Showering only worked for the "generate p p > b b~ b b~ " process with no [QCD].

Cheers,
Marta

Revision history for this message
Marta Czurylo (martamaja10) said :
#7

Hi,

one more thing that I can see now and I'm not sure how important it is, is "MCatNLO/MCatNLO_MadFKS.inputs" which reads (only pointing to Pythia6 ?):

#!/bin/bash

# SOURCE INPUT FILES
source shower_card.dat
source banner.dat

# PATH TO SOURCE CODES
HWPATH="../srcHerwig"
PYPATH="../srcPythia"

# SHOWER VERSIONS
HERWIGVER="herwig6521.o"
PYTHIAVER="pythia6428.o"

##### LOAD THE SCRIPTS
. Scripts/MCatNLO_MadFKS_$MCMODE.Script

##### EXECUTION
# compileMC or runMC
runMC

#### CLEAN UP
rm -f `pwd`/*.o
rm -f `pwd`/*.so
rm -f `pwd`/HWPPAnalyzer/*.o
rm -f `pwd`/HWPPAnalyzer/*.so
rm -f `pwd`/Pythia8.cc
rm -f `pwd`/Makefile
rm -f `pwd`/MCATNLO_PYTHIA8_*

but maybe this is not relevant? I'm just trying to look for any kind of hint of what might be going wrong.

LHAPDF set setting:

Another problem, just after tying to reset pdf parameters in version3.4.0 to those I used in version 2.9.10 (set pdlabel lhapdf, set lhaid 260400) is that I get the error:

INFO: Update the dependent parameter of the param_card.dat
Command "launch auto " interrupted with error:
AttributeError : 'NoneType' object has no attribute 'alphasQ'
Please report this bug on https://bugs.launchpad.net/mg5amcnlo
More information is found in 'ME5_debug'.
Please attach this file to your report.

I'm sorry for this many questions.

Cheers,
Marta

Revision history for this message
Paolo Torrielli (paolotorriell) said :
#8

Dear Marta,

I suspect this is related to using Pythia8.3. Could you let me know if it works with Pythia8.2?
In general, I have to upgrade some scripts in the interface to comply with Pythia8.3, which I'll
do in the next days.

Best.
Paolo

Revision history for this message
Marta Czurylo (martamaja10) said :
#9

Hi,

thank you, that would be great news.

Is there a way to install Pythia8.2 directly from mg5_aMC shell (or do i need an older version of the package)? Or should I try it outside?

Cheers,
Marta

Revision history for this message
Paolo Torrielli (paolo-torrielli) said :
#10

Dear Marta,

I would usually install it externally.

Please, recall to install it with HEPMC, and then you can
link the relevant paths in input/mg5_configuration.txt (and
in <proc_dir>/Cards/amcatnlo_configuration.txt if you have
already generated the <proc_dir> process folder).

Best,
Paolo

> On 23 Jun 2022, at 12:05, Marta Czurylo <email address hidden> wrote:
>
> Question #701947 on MadGraph5_aMC@NLO changed:
> https://www.google.com/url?q=https://answers.launchpad.net/mg5amcnlo/%2Bquestion/701947&source=gmail-imap&ust=1656583555000000&usg=AOvVaw3Xu1LeTQKzMNa549bS5FP6
>
> Status: Answered => Open
>
> Marta Czurylo is still having a problem:
> Hi,
>
> thank you, that would be great news.
>
> Is there a way to install Pythia8.2 directly from mg5_aMC shell (or do
> i need an older version of the package)? Or should I try it outside?
>
> Cheers,
> Marta
>
> --
> You received this question notification because you are subscribed to
> the question.

Revision history for this message
Marta Czurylo (martamaja10) said :
#11

Hi,

I'm sorry to open this again but I'm having issue configuring Pythia8.2 with hepmc library. I'm running on lxplus with LCG_99. I did the following after downloading and untarring pythia8245:

cd pythia8245
source /cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/setup.sh
export HEPMC_PATH=$(eval HepMC3-config --prefix)
./configure --enable-shared --prefix=$PWD/../pythia8245-install --with-hepmc3=$HEPMC_PATH

but then I get the following warning:

 "WARNING: Disabling HEPMC3 - library HepMC missing.
---------------------------------------------------------------------
| PYTHIA Configuration Summary |
---------------------------------------------------------------------
  Architecture = LINUX
  C++ Compiler CXX = /cvmfs/sft.cern.ch/lcg/releases/gcc/8.3.0-cebb0/x86_64-centos7/bin/g++
  C++ Flags CXX_COMMON = -O2 -pedantic -W -Wall -Wshadow -fPIC
  C++ Flags (.so) CXX_SHARED = -shared
  Further options = --enable-shared

The following optional external packages will be used:"

Do you have any suggestions how to solve this?

Cheers,
Marta

Revision history for this message
Paolo Torrielli (paolotorriell) said :
#12

Dear Marta,

it usually works for me when using HepMC-2.06.09.
I’ve never tried HepMC3.

Best.
Paolo

> On 24 Jun 2022, at 12:30, Marta Czurylo <email address hidden> wrote:
>
> Question #701947 on MadGraph5_aMC@NLO changed:
> https://www.google.com/url?q=https://answers.launchpad.net/mg5amcnlo/%2Bquestion/701947&source=gmail-imap&ust=1656671461000000&usg=AOvVaw2XhIIkkPqeckZxc64jj8N1
>
> Status: Answered => Open
>
> Marta Czurylo is still having a problem:
> Hi,
>
> I'm sorry to open this again but I'm having issue configuring Pythia8.2
> with hepmc library. I'm running on lxplus with LCG_99. I did the
> following after downloading and untarring pythia8245:
>
> cd pythia8245
> source /cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc8-opt/setup.sh
> export HEPMC_PATH=$(eval HepMC3-config --prefix)
> ./configure --enable-shared --prefix=$PWD/../pythia8245-install --with-hepmc3=$HEPMC_PATH
>
> but then I get the following warning:
>
> "WARNING: Disabling HEPMC3 - library HepMC missing.
> ---------------------------------------------------------------------
> | PYTHIA Configuration Summary |
> ---------------------------------------------------------------------
> Architecture = LINUX
> C++ Compiler CXX = /cvmfs/sft.cern.ch/lcg/releases/gcc/8.3.0-cebb0/x86_64-centos7/bin/g++
> C++ Flags CXX_COMMON = -O2 -pedantic -W -Wall -Wshadow -fPIC
> C++ Flags (.so) CXX_SHARED = -shared
> Further options = --enable-shared
>
> The following optional external packages will be used:"
>
> Do you have any suggestions how to solve this?
>
> Cheers,
> Marta
>
> --
> You received this question notification because you are subscribed to
> the question.

Revision history for this message
Marta Czurylo (martamaja10) said :
#13

Hi!

So following your advice, I installed Pythia 8.245 locally with hepmc 2.06.09 and after changing pythia path in the <proc_dir>/Cards/amcatnlo_configuration.txt I manage to get the hepmc.gz output. However, I would like to also get the histograms, so in the shower card I changed the ANALYSE part,

ANALYSE = HwU.o py8an_HwU_rates.o (just to test)

I also tried to change the path to my local pythia lib in the extrapaths part in the shower card, but I keep getting the following error:

PYTHIA Abort from Pythia::Pythia: unmatched version numbers : in code 8.244 but in XML 8.245

What else do I need to update for this to work?

Cheers,
Marta

Revision history for this message
marco zaro (marco-zaro) said :
#14

Hi,
it is likely a bug in the pythia code.
if you have the source files, open
src/Pythia8.cc

and check that
const double Pythia::VERSIONNUMBERCODE
is equal to the actual version (8.245 from what you wrote).

If not, just change it, and recompile (make/make install) pythia

Let us know if this work

Best,

marco

Revision history for this message
Marta Czurylo (martamaja10) said (last edit ):
#15

Dear Experts,

The above was not a problem, but I got a clean version 3.4 and I managed to set up my environment so that it kind of works, not fully as I will explain below.

In more detail, I still use the LCG release but only to get Python 3.8.6 environment

source /cvmfs/sft.cern.ch/lcg/releases/LCG_99/Python/3.8.6/x86_64-centos7-gcc8-opt/Python-env.sh

and then I export the LHAPDF DATA PATH:
export LHAPDF_DATA_PATH=/cvmfs/atlas.cern.ch/repo/sw/Generators/lhapdfsets/current:$LHAPDF_DATA_PATH

In MG5_aMC_v3_4_0 configuration file I give the path to my locally installed pythia 8.245 and via the mg5 interface I installed: hepmc and lhapdf_py3. This setup works for my generation of: p p > b b~ b b~ / h aEW=0 aS=4 [QCD] (also checked: p p > b b~ b b~ [QCD]) with lhaid 260400 and order=LO, but while trying to do that for the nominal order=NLO, I get the following error (I can provide more details if needed)

WARNING: program /local1/czurylo/public/event-generators/MG5_aMC_v3_4_0/NLO_100/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 35.0 F 0 0 launch ends with non zero status: 1. Stop all computation
/local1/czurylo/public/event-generators/MG5_aMC_v3_4_0/NLO_100/SubProcesses/P0_gg_bbbxbx_no_h/ajob1: line 38: 3324814 Terminated ../madevent_mintMC > log.txt < input_app.txt 2>&1
/local1/czurylo/public/event-generators/MG5_aMC_v3_4_0/NLO_100/SubProcesses/P0_gg_bbbxbx_no_h/ajob1: line 38: 3325145 Terminated ../madevent_mintMC > log.txt < input_app.txt 2>&1
INFO: Idle: 0, Running: 0, Completed: 98 [ 9h 48m ]
Command "launch auto " interrupted with error:
Exception : program /local1/czurylo/public/event-generators/MG5_aMC_v3_4_0/NLO_100/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 35.0 F 0 0 launch ends with non zero status: 1. Stop all computation

while the terminal output is like:

#1 0x7f191594b892 in list_formatted_read_scalar
 at /tmp/dkonst/build/contrib/gcc-8.3.0/src/gcc/8.3.0/libgfortran/io/list_read.c:2171
#2 0x409931 in ???
#3 0x40b8f8 in ???
#4 0x40c593 in ???
#5 0x7f1914c34554 in ???
#6 0x408078 in ???
#7 0xffffffffffffffff in ???
#0 0x7f92f652f7e2 in read_integer
 at /tmp/dkonst/build/contrib/gcc-8.3.0/src/gcc/8.3.0/libgfortran/io/list_read.c:1099
#1 0x7f92f6532892 in list_formatted_read_scalar
 at /tmp/dkonst/build/contrib/gcc-8.3.0/src/gcc/8.3.0/libgfortran/io/list_read.c:2171
#2 0x409931 in ???
#3 0x40b8f8 in ???
#4 0x40c593 in ???
#5 0x7f92f581b554 in ???
#6 0x408078 in ???
#7 0xffffffffffffffff in ???
#0 0x7f70589807e2 in read_integer
 at /tmp/dkonst/build/contrib/gcc-8.3.0/src/gcc/8.3.0/libgfortran/io/list_read.c:1099
#1 0x7f7058983892 in list_formatted_read_scalar
 at /tmp/dkonst/build/contrib/gcc-8.3.0/src/gcc/8.3.0/libgfortran/io/list_read.c:2171
#2 0x409931 in ???
#3 0x40b8f8 in ???
#4 0x40c593 in ???
#5 0x7f7057c6c554 in ???
#6 0x408078 in ???
#7 0xffffffffffffffff in ???
#0 0x7fdd01cd47e2 in read_integer
 at /tmp/dkonst/build/contrib/gcc-8.3.0/src/gcc/8.3.0/libgfortran/io/list_read.c:1099
#1 0x7fdd01cd7892 in list_formatted_read_scalar
 at /tmp/dkonst/build/contrib/gcc-8.3.0/src/gcc/8.3.0/libgfortran/io/list_read.c:2171
#2 0x409931 in ???
At line 408 of file reweight_xsec_events.f
#3 0x40b8f8 in ???
Fortran runtime error: #4 0x40c593 in ???
Bad integer for item 15 in list input

I saw a similar issue here: https://answers.launchpad.net/mg5amcnlo/+question/698564 but then the solution was to use version 2.9.10.

When I am trying to get started on the clean version 2.9.10 I get an error:

Traceback (most recent call last):
  File "./bin/mg5_aMC", line 212, in <module>
    cmd_line.cmdloop()
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_10/madgraph/interface/extended_cmd.py", line 942, in cmdloop
    self.preloop()
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_10/madgraph/interface/madgraph_interface.py", line 3002, in preloop
    self.do_install('update --mode=mg5_start')
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_10/madgraph/interface/master_interface.py", line 490, in do_install
    self.cmd.do_install(self, *args, **opts)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_10/madgraph/interface/madgraph_interface.py", line 6192, in do_install
    self.install_update(['update']+install_options['update_options'],wget=program)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_10/madgraph/interface/madgraph_interface.py", line 6859, in install_update
    data[sline[0]] = int(sline[1])
ValueError: invalid literal for int() with base 10: "b'304'"

When I am trying to use some preinsttalled version 2.9.10 (installed using different environment) but with the changed configuration file to match the advised Pythia 8.2 version in the launch step, I get:

WARNING: fct <function compile_dir at 0x7ff24c8d7dc0> does not return 0. Stopping the code in a clean way. The error was:
A compilation Error occurs when trying to compile /local1/czurylo/public/event-generators/old_MadGraph2.9.10/MG5_aMC_v2_9_10/data_13LO_try_12thJuly/SubProcesses/P0_uxu_bbbxbx.
The compilation fails with the following output message:
    /cvmfs/sft.cern.ch/lcg/releases/gcc/8.3.0-cebb0/x86_64-centos7/bin/gfortran -O -fno-automatic -ffixed-line-length-132 -c -I. -I../../lib/ parton_lum_3.f
    run.inc:74:21:

           common/to_rwgt/ do_rwgt_scale, rw_Fscale_down, rw_Fscale_up, rw_Rscale_down, rw_Rscale_up,
                         1
    Warning: Padding of 4 bytes required before ‘rw_fscale_down’ in COMMON ‘to_rwgt’ at (1); reorder elements or use -fno-align-commons [-Walign-commons]
    /cvmfs/sft.cern.ch/lcg/releases/gcc/8.3.0-cebb0/x86_64-centos7/bin/gfortran -O -fno-automatic -ffixed-line-length-132 -c -I. -I../../lib/ parton_lum_1.f
    run.inc:74:21:
....

    compilation terminated.
    make: *** [fastjetfortran_madfks_full.o] Error 1

Please try to fix this compilations issue and retry.
Help might be found at https://answers.launchpad.net/mg5amcnlo.
If you think that this is a bug, you can report this at https://bugs.launchpad.net/mg5amcnlo
WARNING: Fail to compile the Subprocesses
INFO:
INFO: Checking test output:
INFO: P0_gg_bbbxbx
INFO: Result for test_ME:
Command "launch auto " interrupted with error:
FileNotFoundError : [Errno 2] No such file or directory: '/local1/czurylo/public/event-generators/old_MadGraph2.9.10/MG5_aMC_v2_9_10/data_13LO_try_12thJuly/SubProcesses/P0_gg_bbbxbx/test_ME.log'

Would you have any advice on how to proceed? Which Madgraph version would be most stable for LO and NLO, both with PS calcuation?

Cheers,
Marta

Revision history for this message
Olivier Mattelaer (olivier-mattelaer) said :
#16

Our most stable version is our LTS version (so currently 2.9.11).

The error that you quoite for 2.9.10 is an issue with our script creating the tarball that should not be present for 2.9.11.
I will fix the 2.9.10 tarball anyway

Cheers,

Olivier

Revision history for this message
Marta Czurylo (martamaja10) said :
#17

Hi again!

This all worked, almost...

In my studies, I'm generating samples (generate p p > b b~ b b~ / h QED=0 QCD=4 [QCD]) for 13, 14 and 100 TeV, LO and NLO. It all works for 13 and 14, both LO and NLO and 100 LO but for 100 NLO I get the following error, which happens after the first part of computation.

In all processes I also change the following settings:
set dynamical_scale_choice 3
set pdlabel lhapdf
set lhaid 260400

The error output in the terminal:

INFO: Idle: 0, Running: 3, Completed: 95 [ 8h 11m ]
WARNING: program /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 38 F 0 0 launch ends with non zero status: 1. Stop all computation
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1: line 34: 2097922 Terminated ../madevent_mintMC > log.txt < input_app.txt 2>&1
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1: line 34: 2098223 Terminated ../madevent_mintMC > log.txt < input_app.txt 2>&1
INFO: Idle: 0, Running: 0, Completed: 98 [ 8h 56m ]
Command "launch auto " interrupted with error:
Exception : program /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 38 F 0 0 launch ends with non zero status: 1. Stop all computation

and the error in the debug files:

Traceback (most recent call last):
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/extended_cmd.py", line 1541, in onecmd
    return self.onecmd_orig(line, **opt)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/extended_cmd.py", line 1490, in onecmd_orig
    return func(arg, **opt)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 1699, in do_launch
    evt_file = self.run(mode, options)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 1930, in run
    self.run_all_jobs(jobs_to_run,mint_step,fixed_order=False)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 2136, in run_all_jobs
    self.wait_for_complete(run_type)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 4716, in wait_for_complete
    self.cluster.wait(self.me_dir, update_status)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/various/cluster.py", line 829, in wait
    raise Exception(self.fail_msg)
Exception: program /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 38 F 0 0 launch ends with non zero status: 1. Stop all computation

Would you have any idea what might be happening?

Cheers,
Marta

Revision history for this message
Paolo Torrielli (paolotorriell) said :
#18

Dear Marta,

just to be sure, are you using massive b’s?

In any case, given that you’re using scale_choice=3, namely the
sum of transverse energies of the final-state particles, I can
imagine that renormalisation/factorisation scales can become
particularly small when the b and b~ from the same pair are nearly
collinear, and the two pairs are nearly aligned to the beams.

Could you maybe try a little test with a larger fixed renormalisation
and factorisation central scale, like 100 GeV?

Best.
Paolo

> On 21 Jul 2022, at 09:50, Marta Czurylo <email address hidden> wrote:
>
> Question #701947 on MadGraph5_aMC@NLO changed:
> https://www.google.com/url?q=https://answers.launchpad.net/mg5amcnlo/%2Bquestion/701947&source=gmail-imap&ust=1658994680000000&usg=AOvVaw2VpfMceltoI8iySZLfu681
>
> Status: Answered => Open
>
> Marta Czurylo is still having a problem:
> Hi again!
>
> This all worked, almost...
>
> In my studies, I'm generating samples (generate p p > b b~ b b~ / h
> QED=0 QCD=4 [QCD]) for 13, 14 and 100 TeV, LO and NLO. It all works for
> 13 and 14, both LO and NLO and 100 LO but for 100 NLO I get the
> following error, which happens after the first part of computation.
>
> In all processes I also change the following settings:
> set dynamical_scale_choice 3
> set pdlabel lhapdf
> set lhaid 260400
>
>
> The error output in the terminal:
>
>
> INFO: Idle: 0, Running: 3, Completed: 95 [ 8h 11m ]
> WARNING: program /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 38 F 0 0 launch ends with non zero status: 1. Stop all computation
> /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1: line 34: 2097922 Terminated ../madevent_mintMC > log.txt < input_app.txt 2>&1
> /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1: line 34: 2098223 Terminated ../madevent_mintMC > log.txt < input_app.txt 2>&1
> INFO: Idle: 0, Running: 0, Completed: 98 [ 8h 56m ]
> Command "launch auto " interrupted with error:
> Exception : program /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 38 F 0 0 launch ends with non zero status: 1. Stop all computation
>
> and the error in the debug files:
>
>
> Traceback (most recent call last):
> File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/extended_cmd.py", line 1541, in onecmd
> return self.onecmd_orig(line, **opt)
> File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/extended_cmd.py", line 1490, in onecmd_orig
> return func(arg, **opt)
> File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 1699, in do_launch
> evt_file = self.run(mode, options)
> File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 1930, in run
> self.run_all_jobs(jobs_to_run,mint_step,fixed_order=False)
> File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 2136, in run_all_jobs
> self.wait_for_complete(run_type)
> File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/interface/amcatnlo_run_interface.py", line 4716, in wait_for_complete
> self.cluster.wait(self.me_dir, update_status)
> File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/madgraph/various/cluster.py", line 829, in wait
> raise Exception(self.fail_msg)
> Exception: program /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/100_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 38 F 0 0 launch ends with non zero status: 1. Stop all computation
>
> Would you have any idea what might be happening?
>
>
> Cheers,
> Marta
>
> --
> You received this question notification because you are subscribed to
> the question.

Revision history for this message
Marta Czurylo (martamaja10) said :
#19

Hi,

thank you for a prompt reply. I followed the generation prescription of a colleague from a while back, who was following the paper in which "factorization and renormalization scales are taken to be W boson mass, mu_F = mu_R = M_W" and hence she was using dynamical_scale_choice = 3, so I was following this as well, but maybe this is wrong?

Yes, I am using the loop_sm model so my b's are massive.

I can definitely try that, but how do I set it? Do I have to modify the subprocesses/setcscales.f file? orjust something in the run_card?

Cheers,
Marta

Revision history for this message
Paolo Torrielli (paolotorriell) said :
#20

Dear Marta,

from the setscale.f code, scale choice = 3 corresponds to the following
assignment:

elseif(dynamical_scale_choice.eq.3.or.dynamical_scale_choice.eq.-1) then
c sum of the transverse mass divided by 2
c m^2+pt^2=p(0)^2-p(3)^2=(p(0)+p(3))*(p(0)-p(3))
          tmp=0d0
          do i=3,nexternal
            tmp=tmp+dsqrt(max(0d0,(pp(0,i)+pp(3,i))*(pp(0,i)-pp(3,i))))
          enddo
          tmp=tmp/2d0
          temp_scale_id='H_T/2 := sum_i mT(i)/2, i=final state’

namely the sum of transverse energies.

To confirm this, you can cross check that in you log files you indeed
the string 'H_T/2 := sum_i mT(i)/2, i=final state’.

To set scales = MW (fixed scale) you can simply act at the level of
run_card.dat, by editing

  True = fixed_ren_scale ! if .true. use fixed ren scale
  True = fixed_fac_scale ! if .true. use fixed fac scale
  80.419 = mur_ref_fixed ! fixed ren reference scale
  80.419 = muf_ref_fixed ! fixed fact reference scale

(you can choose the MW value you want, of course: just pay attention
that in the param_card.dat MW is deduced from MZ, aEW and Gf, so you
may want to be consistent in the assignments).

Best.
Paolo

> On 21 Jul 2022, at 16:55, Marta Czurylo <email address hidden> wrote:
>
> Question #701947 on MadGraph5_aMC@NLO changed:
> https://www.google.com/url?q=https://answers.launchpad.net/mg5amcnlo/%2Bquestion/701947&source=gmail-imap&ust=1659020157000000&usg=AOvVaw2JCjtbubwHHtSLtxnlG_4N
>
> Status: Answered => Open
>
> Marta Czurylo is still having a problem:
> Hi,
>
> thank you for a prompt reply. I followed the generation prescription of
> a colleague from a while back, who was following the paper in which
> "factorization and renormalization scales are taken to be W boson mass,
> mu_F = mu_R = M_W" and hence she was using dynamical_scale_choice = 3,
> so I was following this as well, but maybe this is wrong?
>
> Yes, I am using the loop_sm model so my b's are massive.
>
> I can definitely try that, but how do I set it? Do I have to modify the
> subprocesses/setcscales.f file? orjust something in the run_card?
>
> Cheers,
> Marta
>
> --
> You received this question notification because you are subscribed to
> the question.

Revision history for this message
Marta Czurylo (martamaja10) said :
#21

Thank you Paolo!

This makes it very clear now.
I'm testing this setup with 100 NLO generation, I will report back if this works now.

Revision history for this message
Marta Czurylo (martamaja10) said :
#22

Hi again,

so it now successfully went through the step that I was stuck at last time, but:

- the last step took around 15h
- one of the subprocesses gives a nan value - hence the whole cross section is quoted as nan:

INFO: Idle: 0, Running: 1, Completed: 97 [ 4h 52m ]
INFO: Idle: 0, Running: 0, Completed: 98 [ 20h 55m ]
sum of cpu time of last step: 0 second
INFO: Determining the number of unweighted events per channel

      Intermediate results:
      Random seed: 41
      Total cross section: nan +- nan pb
      Total abs(cross section): nan +- nan pb

INFO: Computing upper envelope
INFO: Idle: 2, Running: 96, Completed: 0 [ current time: 07h41 ]

and the upper envelope calculation part is still running but I'm not sure if there is a point of letting it run because of this one nan issue?

The faulty process log reads (just quoting a part of it here):

 ERROR in OneLOop dilog2_r: r1,r2 = .1425878562025163922E-16, .7899652266517300462E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1491781835189779332E-16, .6665054932999642016E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1144234415153191810E-15, .3894388407406956077E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1399757471153887063E-16, .3884070632513663670E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1404366817068896068E-16, .1762769959461339351E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1397535030088739440E-15, .5215407614490468148E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1679857686209656562E-16, .1841933121686296634E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1425739623467140341E-16, .1563297329841135327E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1399757471153887063E-16, .3884070632513663670E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1425878562025163922E-16, .7899652266517300462E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1404366817068896068E-16, .1762769959461339351E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .6091063424911945779E-17, .3097959287507152192E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .5863567341061341563E-17, .3278417620881919244E-15, returning 0
 ERROR in OneLOop log1_r: rr,jj = .9999999999999997780E+00 2 , putting jj to 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8799964691210975702E-16, .4921879009520123289E-15, returning 0
 ERROR in OneLOop log1_r: rr,jj = .9999999999999997780E+00 2 , putting jj to 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8799964691210975702E-16, .4921879009520126247E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .5963405432675112663E-17, .1483152338973009966E-15, returning 0
 ERROR in OneLOop log1_r: rr,jj = .9999999999999993339E+00 2 , putting jj to 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9654891833779844237E-16, .5715881083017497394E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .6419191503965253258E-17, .6794636875069576477E-17, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .5863567341061341563E-17, .3278417620881919244E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .5921167533578588778E-17, .6267484502100627800E-17, returning 0
 ERROR in OneLOop log1_r: rr,jj = .9999999999999997780E+00 2 , putting jj to 0
 ERROR in OneLOop log1_r: rr,jj = .9999999999999997780E+00 2 , putting jj to 0
 ERROR in OneLOop log1_r: rr,jj = .9999999999999993339E+00 2 , putting jj to 0
 ERROR in OneLOop dilog2_r: r1,r2 = .6091063424911947319E-17, .3097959287507177830E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1831248885007029138E-16, .4340745064808265169E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .7202473747043463447E-17, .1707255776528159754E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1204336286643292166E-16, .1646682554978315447E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1204336286643291241E-16, .1646682554978309284E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1173418309214356917E-16, .2018792647674482158E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .6967390811818491541E-17, .4461069500320439956E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .4477800472380576934E-16, .2867038702920664789E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1173418309214357225E-16, .2018792647674491772E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .3089889429617889418E-16, .1260081359355586536E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .3089889429617887569E-16, .1260081359355587325E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .3089889429617889418E-16, .1260081359355589100E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .3089889429617887569E-16, .1260081359355583578E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .3107012117746938744E-16, .9628981350557597140E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .3107012117746937511E-16, .9628981350557577419E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .3107012117746938744E-16, .9628981350557589252E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1831248885007029138E-16, .4340745064808265169E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1794124060041379414E-16, .4066566183341354103E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .7261013212853456909E-17, .1645783111982992580E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .7202473747043463447E-17, .1707255776528159754E-16, returning 0
 ERROR in OneLOop log1_r: rr,jj = .1000000000000000222E+01 2 , putting jj to 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1089939946776565679E-16, .5837717565199409020E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1128658182318551868E-16, .1018666811753698364E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9732638003315085090E-16, .4277513738227140408E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9732638003315085090E-16, .4277513738227140408E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1071897504049042721E-16, .3070010345723823861E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1063560170536649127E-16, .1561354544817275941E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1071897504049042875E-16, .3070010345723838652E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1147040881629744561E-15, .5513492279462437407E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1240507976977891286E-16, .1356708943418965082E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1128658182318551868E-16, .1018666811753698364E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1079124660792000178E-16, .1180208515810753261E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1079124660792000178E-16, .1180208515810753261E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1063560170536649127E-16, .1561354544817275941E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9732638003315110975E-16, .4277513738227129068E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9732638003315112207E-16, .4277513738227128575E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1128658182318551406E-16, .1018666811753683770E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9814010837335637534E-17, .5256884267704497556E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1018783917167215059E-16, .7493240738622033075E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9255075209654152265E-16, .3496236901301707521E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9255075209654139939E-16, .3496236901301683855E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9690912914617819802E-17, .3128349492670374761E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9637886311849600360E-17, .1441864587524235815E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9637886311849603442E-17, .1441864587524239266E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1479193971409108419E-15, .2212930653510507676E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1090096517607008922E-15, .4464979650087278874E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1090096517607004238E-15, .4464979650087261124E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1120769955020271698E-16, .1215206795636339526E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1018783917167215059E-16, .7493240738622033075E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9781719979859640356E-17, .1060593437510750686E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9690912914617819802E-17, .3128349492670374761E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9637886311849603442E-17, .1441864587524239266E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9637886311849600360E-17, .1441864587524235815E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9814010837335634452E-17, .5256884267704439378E-15, returning 0
 ERROR in OneLOop log1_r: rr,jj = .9999999999999988898E+00 2 , putting jj to 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1183170330115400620E-16, .5148913032305541575E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1196031962729378094E-15, .7780297294881324085E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1190859557249779459E-16, .7161085854695313647E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1170050087721695840E-16, .1744638342849625755E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1365525626630338116E-15, .9693299136926071458E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1328885085047532377E-16, .1450126734913141624E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1181616417880599017E-16, .1289421920120094014E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1190859557249779459E-16, .7161085854695313647E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1183170330115400620E-16, .5148913032305541575E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1170050087721695840E-16, .1744638342849625755E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8746416696239968085E-17, .4827565063228932298E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9136358908467997850E-17, .1005391332670374934E-14, returning 0
 ERROR in OneLOop log1_r: rr,jj = .1000000000000000444E+01 2 , putting jj to 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8529297973590432759E-16, .4263677276844385185E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8680028752068597694E-17, .3394562470259249504E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8599650150993662910E-17, .1277855721296211623E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .1299809595992815308E-15, .1931438023258671637E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9867400762048302411E-16, .5370854385390024363E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9864414512294017720E-17, .1074090794170788331E-16, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .9136358908467999391E-17, .1005391332670374540E-14, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8700717791972042854E-17, .9473812025425464528E-17, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8746416696239968085E-17, .4827565063228932298E-15, returning 0
 ERROR in OneLOop dilog2_r: r1,r2 = .8599650150993662910E-17, .1277855721296211623E-15, returning 0
ABS integral = Infinity +/- NaN ( NaN %)
Integral = NaN +/- NaN ( NaN %)
Virtual = 0.6947E-16 +/- 0.6944E-16 ( 99.969 %)
Virtual ratio = -.5633E+03 +/- 0.5817E+02 ( 10.326 %)
ABS virtual = 0.6949E-16 +/- 0.6944E-16 ( 99.935 %)
Born*ao2pi = 0.1548E-18 +/- 0.1547E-18 ( 99.912 %)
Chi^2 per d.o.f. 0.0000E+00
accumulated results ABS integral = Infinity +/- NaN ( NaN %)
accumulated results Integral = NaN +/- NaN ( NaN %)
accumulated results Virtual = 0.6947E-16 +/- 0.6944E-16 ( 99.969 %)
accumulated results Virtual ratio = -.5633E+03 +/- 0.5817E+02 ( 10.326 %)
accumulated results ABS virtual = 0.6949E-16 +/- 0.6944E-16 ( 99.935 %)
accumulated results Born*ao2pi = 0.1548E-18 +/- 0.1547E-18 ( 99.912 %)
accumulated result Chi^2 per DoF = 0.0000E+00

Is there a way to avoid this issue?

Cheers,
Marta

Revision history for this message
Valentin Hirschi (valentin-hirschi) said :
#23

Hi Marta,

I have seen such issues pop up in the past and they usually come from kinematic configurations that have very small invariants.
The best way to investigate how to go around this issue would be to be able to capture which particular point returned NaN or induced these one-loop errors in MadLoop. However, capturing these may not be easy.
There are some parameters that could help in the `MadLoopParams.dat` card, such as:
```
#OSThres
1.000000d-08
```
which could be tried to be set to a smaller value (say 1.0d-13). Also, because this issue seems to be the OneLOop library for evaluating the scalar integral, you can avoid it altogether by using `Collier` instead for the loop reduction (as it uses its own built-in implementation of the scalar masters). This can be done by specifying the following in `MadLoopParams.dat:
```
#MLReductionLib
7
```
(make sure to always remove the exclamation mark comment at the beginning of the entries you want to set).
THis would however considerably slow down the evaluation of the virtuals.

However, that being said; I think the issue may not be directly a `NaN` because anyway such weights should automatically be set to zero by MadFKS and therefore not pollute the final result.
And here you see the following in your logs:
```
Virtual = 0.6947E-16 +/- 0.6944E-16 ( 99.969 %)
Virtual ratio = -.5633E+03 +/- 0.5817E+02 ( 10.326 %)
ABS virtual = 0.6949E-16 +/- 0.6944E-16 ( 99.935 %)
Born*ao2pi = 0.1548E-18 +/- 0.1547E-18 ( 99.912 %)
```
This shows that the virtual quantity is not a NaN, so it's unlikely to be what caused the total cross-section to not be a number.
There may be an issue with the so-called "virt-trick" which can be disabled by modifying the following in the `FKS_params.dat` card:
```
#MinVirtualFraction
1.0d0
```
But this will again considerably slow down the already-long run.

So in conclusion I would say that the two key points here are:

a) How can a `NaN` result pollute the cross-section given that `MadFKS` normally automatically detects such weights and set them to zero before aggregating them into the cross-sections (or the plots at fixed-order).

b) If the origin is indeed the virtual evaluations for which you get these warning in OneLOop (and that is not clear to me at this stage that they are indeed related), then it would be great to be able to identify the phase-space point in argument of the call to the virtuals for which this happens. This way it can easily be replicated and I can study what parameters/settings could fix it.
Sadly, capturing this phase-space point would require some modification of the code which I cannot easily explain here.

Revision history for this message
Marta Czurylo (martamaja10) said :
#24

Dear Valentin,

Thank you for this thorough and clear reply. I will try your suggestions with smaller #OSThres first and then using collier in case the first trick doesn't work (or disabling #MinVirtualFraction if yet using collier doesn't help). I will report back next week on how it went.

I agree that understanding the cause would be indeed the best solution. I can provide more details of how I'm producing my samples if that's of any help and you would like to investigate that in more detail.

Cheers,
Marta

Revision history for this message
Marta Czurylo (martamaja10) said :
#25

Hi again,

the first quick update regarding

#OSThres
1.000000d-08
```
change into 1.000000d-13 ends up very quickly with:

Error detected in "launch auto "
write debug file /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/run_01_tag_1_debug.log
If you need help with this issue please contact us on https://answers.launchpad.net/mg5amcnlo
str : Poles do not cancel, run cannot continue

I reverted this back to the default and now trying to run with collier.

Cheers,
Marta

Revision history for this message
Marta Czurylo (martamaja10) said :
#26

Hi,

Unfortunately my problem still remains.

Now I also tried your suggestion using Collier.

I tried the same setup for the 13 TeV first as this is much quicker, I got the following errors :
Traceback (most recent call last):
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/bin/internal/extended_cmd.py", line 1541, in onecmd
    return self.onecmd_orig(line, **opt)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/bin/internal/extended_cmd.py", line 1490, in onecmd_orig
    return func(arg, **opt)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/bin/internal/amcatnlo_run_interface.py", line 1699, in do_launch
    evt_file = self.run(mode, options)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/bin/internal/amcatnlo_run_interface.py", line 1932, in run
    jobs_to_run,jobs_to_collect=self.collect_the_results(options,req_acc,jobs_to_run, \
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/bin/internal/amcatnlo_run_interface.py", line 2148, in collect_the_results
    self.append_the_results(jobs_to_run,integration_step)
  File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/bin/internal/amcatnlo_run_interface.py", line 2588, in append_the_results
    raise aMCatNLOError('An error occurred during the collection of results.\n' +
amcatnlo_run_interface.aMCatNLOError: An error occurred during the collection of results.
Please check the .log files inside the directories which failed:
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF1/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF2/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF16/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF23/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF27/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF36/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF47/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF53/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF66/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF70/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_gg_bbbxbx_no_h/GF76/log.txt
/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/data/13_NLO_100k_4f/SubProcesses/P0_uux_bbbxbx_no_h/GF8/log.txt

Checking the first log for example doesn't really show any errors?:

==== LHAPDF6 USING DEFAULT-TYPE LHAGLUE INTERFACE ====
LHAPDF 6.3.0 loading /cvmfs/atlas.cern.ch/repo/sw/Generators/lhapdfsets/current/NNPDF30_nlo_as_0118_nf_4/NNPDF30_nlo_as_0118_nf_4_0000.dat
NNPDF30_nlo_as_0118_nf_4 PDF set, member #0, version 2; LHAPDF ID = 260400
 ===============================================================
 INFO: MadFKS read these parameters from FKS_params.dat
 ===============================================================
  > IRPoleCheckThreshold = 1.0000000000000001E-005
  > PrecisionVirtualAtRunTime = 1.0000000000000000E-003
  > NHelForMCoverHels = 4
  > VirtualFraction = 1.0000000000000000
  > MinVirtualFraction = 5.0000000000000001E-003
 ===============================================================
 A PDF is used, so alpha_s(MZ) is going to be modified
 Old value of alpha_s from param_card: 0.11799999999999999
 New value of alpha_s from PDF lhapdf : 0.11227348553523188
 using LHAPDF
 *****************************************************
 * MadGraph/MadEvent *
 * -------------------------------- *
 * http://madgraph.hep.uiuc.edu *
 * http://madgraph.phys.ucl.ac.be *
 * http://madgraph.roma2.infn.it *
 * -------------------------------- *
 * *
 * PARAMETER AND COUPLING VALUES *
 * *
 *****************************************************

  External Params
  ---------------------------------

 MU_R = 91.188000000000002
 aEWM1 = 132.50700000000001
 mdl_Gf = 1.1663900000000000E-005
 aS = 0.11799999999999999
 mdl_ymb = 4.7000000000000002
 mdl_ymt = 173.00000000000000
 mdl_ymtau = 1.7769999999999999
 mdl_MT = 173.00000000000000
 mdl_MB = 4.7000000000000002
 mdl_MZ = 91.188000000000002
 mdl_MH = 125.00000000000000
 mdl_MTA = 1.7769999999999999
 mdl_WT = 1.4915000000000000
 mdl_WZ = 2.4414039999999999
 mdl_WW = 2.0476000000000001
 mdl_WH = 6.3823389999999999E-003
  Internal Params
  ---------------------------------

 mdl_conjg__CKM22 = 1.0000000000000000
 mdl_lhv = 1.0000000000000000
 mdl_CKM3x3 = 1.0000000000000000
 mdl_CKM33 = 1.0000000000000000
 mdl_conjg__CKM3x3 = 1.0000000000000000
 mdl_CKM22 = 1.0000000000000000
 mdl_Ncol = 3.0000000000000000
 mdl_CA = 3.0000000000000000
 mdl_TF = 0.50000000000000000
 mdl_CF = 1.3333333333333333
 mdl_complexi = (0.0000000000000000,1.0000000000000000)
 mdl_MZ__exp__2 = 8315.2513440000002
 mdl_MZ__exp__4 = 69143404.913893804
 mdl_sqrt__2 = 1.4142135623730951
 mdl_MH__exp__2 = 15625.000000000000
 mdl_Ncol__exp__2 = 9.0000000000000000
 mdl_MB__exp__2 = 22.090000000000003
 mdl_MT__exp__2 = 29929.000000000000
 mdl_aEW = 7.5467711139788835E-003
 mdl_MW = 80.419002445756163
 mdl_sqrt__aEW = 8.6872153846781555E-002
 mdl_ee = 0.30795376724436879
 mdl_MW__exp__2 = 6467.2159543705357
 mdl_sw2 = 0.22224648578577766
 mdl_cw = 0.88190334743339216
 mdl_sqrt__sw2 = 0.47143025548407230
 mdl_sw = 0.47143025548407230
 mdl_g1 = 0.34919219678733299
 mdl_gw = 0.65323293034757990
 mdl_v = 246.21845810181637
 mdl_v__exp__2 = 60623.529110035903
 mdl_lam = 0.12886910601690263
 mdl_yb = 2.6995554250465490E-002
 mdl_yt = 0.99366614581500623
 mdl_ytau = 1.0206617000654717E-002
 mdl_muH = 88.388347648318430
 mdl_AxialZUp = -0.18517701861793787
 mdl_AxialZDown = 0.18517701861793787
 mdl_VectorZUp = 7.5430507588273299E-002
 mdl_VectorZDown = -0.13030376310310560
 mdl_VectorAUp = 0.20530251149624587
 mdl_VectorADown = -0.10265125574812294
 mdl_VectorWmDxU = 0.23095271737156670
 mdl_AxialWmDxU = -0.23095271737156670
 mdl_VectorWpUxD = 0.23095271737156670
 mdl_AxialWpUxD = -0.23095271737156670
 mdl_I1x33 = (2.69955542504654901E-002,0.0000000000000000)
 mdl_I2x33 = (0.99366614581500623,0.0000000000000000)
 mdl_I3x33 = (0.99366614581500623,0.0000000000000000)
 mdl_I4x33 = (2.69955542504654901E-002,0.0000000000000000)
 mdl_Vector_tbGp = (-0.96667059156454072,0.0000000000000000)
 mdl_Axial_tbGp = (-1.0206617000654716,-0.0000000000000000)
 mdl_Vector_tbGm = (0.96667059156454072,0.0000000000000000)
 mdl_Axial_tbGm = (-1.0206617000654716,-0.0000000000000000)
 mdl_gw__exp__2 = 0.42671326129048615
 mdl_cw__exp__2 = 0.77775351421422245
 mdl_ee__exp__2 = 9.4835522759998875E-002
 mdl_sw__exp__2 = 0.22224648578577769
 mdl_yb__exp__2 = 7.2875994928982540E-004
 mdl_yt__exp__2 = 0.98737240933884918
  Internal Params evaluated point by point
  ----------------------------------------

 mdl_sqrt__aS = 0.34351128074635334
 mdl_G__exp__4 = 2.1987899468922913
 mdl_G__exp__2 = 1.4828317324943823
 mdl_G_UVg_1EPS_ = -5.1645779033320030E-002
 mdl_G_UVb_1EPS_ = 3.1300472141406080E-003
 mdl_GWcft_UV_b_1EPS_ = -3.1300472141406080E-003
 mdl_GWcft_UV_t_1EPS_ = -3.1300472141406080E-003
 mdl_bWcft_UV_1EPS_ = -1.8780283284843650E-002
 mdl_tWcft_UV_1EPS_ = -1.8780283284843650E-002
 mdl_bMass_UV_1EPS_ = (0.0000000000000000,0.17653466287753031)
 mdl_G__exp__3 = 1.8056676068262196
 mdl_MU_R__exp__2 = 8315.2513440000002
 mdl_G_UVb_FIN_ = 1.8563438626678915E-002
 mdl_G_UVt_FIN_ = -4.0087659331150384E-003
 mdl_GWcft_UV_b_FIN_ = -1.8563438626678915E-002
 mdl_GWcft_UV_t_FIN_ = 4.0087659331150384E-003
 mdl_bWcft_UV_FIN_ = -0.13642100947319838
 mdl_tWcft_UV_FIN_ = -9.8778211443463623E-004
 mdl_bMass_UV_FIN_ = (0.0000000000000000,1.2823574890480649)
  Couplings of loop_sm
  ---------------------------------

         GC_4 = -0.12177E+01 0.00000E+00
         GC_5 = 0.00000E+00 0.12177E+01
         GC_6 = 0.00000E+00 0.14828E+01
       R2_3Gq = 0.76230E-02 0.00000E+00
       R2_3Gg = 0.31445E-01 0.00000E+00
  R2GC_137_43 = 0.00000E+00 0.11603E-02
  R2GC_137_44 = -0.00000E+00 -0.34810E-02
  R2GC_139_47 = -0.00000E+00 -0.46413E-02
  R2GC_140_48 = 0.00000E+00 0.77356E-03
  R2GC_140_49 = -0.00000E+00 -0.69620E-02
  R2GC_141_50 = -0.00000E+00 -0.13924E-01
  R2GC_141_51 = -0.00000E+00 -0.48734E-01
  R2GC_143_54 = 0.00000E+00 0.12764E-01
  R2GC_143_55 = 0.00000E+00 0.52215E-01
  R2GC_144_56 = -0.00000E+00 -0.10443E-01
  R2GC_144_57 = -0.00000E+00 -0.59177E-01
  R2GC_145_58 = -0.11603E-02 0.00000E+00
  R2GC_145_59 = 0.34810E-02 0.00000E+00
       R2_GQQ = -0.00000E+00 -0.30492E-01
       R2_GGq = 0.00000E+00 0.62601E-02
       R2_GGb = -0.00000E+00 -0.82971E+00
       R2_GGt = -0.00000E+00 -0.11242E+04
     R2_GGg_1 = 0.00000E+00 0.28170E-01
     R2_GGg_2 = -0.00000E+00 -0.18780E-01
       R2_QQq = 0.00000E+00 0.12520E-01
       R2_QQb = 0.00000E+00 0.11769E+00
  UV_3Gg_1eps = 0.62890E-01 0.00000E+00
  UV_3Gb_1eps = -0.38115E-02 0.00000E+00
  UV_4Gg_1eps = 0.00000E+00 -0.15316E+00
  UV_4Gb_1eps = 0.00000E+00 0.92827E-02
 UV_GQQg_1eps = 0.00000E+00 -0.62890E-01
 UV_GQQb_1eps = 0.00000E+00 0.38115E-02
 UV_bMass_1eps = 0.00000E+00 0.17653E+00
 UVWfct_b_0_1eps -0.18780E-01 0.00000E+00
 UVWfct_G_1_1eps -0.31300E-02 0.00000E+00
       UV_3Gb = -0.22605E-01 0.00000E+00
       UV_3Gt = 0.48815E-02 0.00000E+00
       UV_4Gb = 0.00000E+00 0.55053E-01
      UV_4Ggt = 0.00000E+00 -0.11889E-01
      UV_GQQb = 0.00000E+00 0.22605E-01
      UV_GQQt = 0.00000E+00 -0.48815E-02
     UV_bMass = 0.00000E+00 0.12824E+01
   UVWfct_b_0 = -0.13642E+00 -0.00000E+00
   UVWfct_G_1 = -0.18563E-01 0.00000E+00
   UVWfct_G_2 = 0.40088E-02 0.00000E+00

 Collider parameters:
 --------------------

 Running at P P machine @ 13000.000000000000 GeV
 PDF set = lhapdf
 alpha_s(Mz)= 0.1123 running at 2 loops.
 alpha_s(Mz)= 0.1123 running at 2 loops.
 Renormalization scale fixed @ 80.418999999999997
 Factorization scales fixed @ 80.418999999999997 80.418999999999997

 Diagram information for clustering has been set-up for nFKSprocess 1
 Diagram information for clustering has been set-up for nFKSprocess 2
 Diagram information for clustering has been set-up for nFKSprocess 3
 Diagram information for clustering has been set-up for nFKSprocess 4
 Diagram information for clustering has been set-up for nFKSprocess 5
 Diagram information for clustering has been set-up for nFKSprocess 6
 Diagram information for clustering has been set-up for nFKSprocess 7
 Diagram information for clustering has been set-up for nFKSprocess 8
 getting user params
Enter number of events and iterations:
 Number of events and iterations -1 12
Enter desired fractional accuracy:
 Desired fractional accuracy: 2.9999999999999999E-002
 Enter alpha, beta for G_soft
   Enter alpha<0 to set G_soft=1 (no ME soft)
 for G_soft: alpha= 1.0000000000000000 , beta= -0.10000000000000001
 Enter alpha, beta for G_azi
   Enter alpha>0 to set G_azi=0 (no azi corr)
 for G_azi: alpha= -1.0000000000000000 , beta= -0.10000000000000001
 Doing the S and H events together
Suppress amplitude (0 no, 1 yes)?
 Using suppressed amplitude.
Exact helicity sum (0 yes, n = number/event)?
 Do MC over helicities for the virtuals
Enter Configuration Number:
Running Configuration Number: 1
Enter running mode for MINT:
0 to set-up grids, 1 to integrate, 2 to generate events
 MINT running mode: 0
Set the three folding parameters for MINT
xi_i, phi_i, y_ij
           1 1 1
 'all ', 'born', 'real', 'virt', 'novi' or 'grid'?
 Enter 'born0' or 'virt0' to perform
  a pure n-body integration (no S functions)
 doing the all of this channel
 Normal integration (Sfunction != 1)
 about to integrate 13 -1 12 1
 imode is 0
channel 1 : 1 T 0 0 0.1000E+01 0.0000E+00 0.1000E+01
 ------- iteration 1
 Update # PS points (even): 1040 --> 1040
Using random seed offsets: 1 , 1 , 0
  with seed 36
 Ranmar initialization seeds 15606 9411
 Total number of FKS directories is 8
 FKS process map (sum= 3 ) :
           1 --> 3 : 1 5 6
           2 --> 3 : 2 7 8
           3 --> 1 : 3
           4 --> 1 : 4
 ================================
 process combination map (specified per FKS dir):
  1 map 1
  1 inv. map 1
  2 map 1
  2 inv. map 1
  3 map 1
  3 inv. map 1
  4 map 1
  4 inv. map 1
  5 map 1 1 1 1
  5 inv. map 4
  6 map 1 1 1 1
  6 inv. map 4
  7 map 1 1 1 1
  7 inv. map 4
  8 map 1 1 1 1
  8 inv. map 4
 ================================
tau_min 1 1 : 0.18800E+02 -- 0.18800E+02
tau_min 2 1 : 0.18800E+02 -- 0.18800E+02
tau_min 3 1 : 0.18800E+02 0.18800E+02 0.18800E+02
tau_min 4 1 : 0.18800E+02 0.18800E+02 0.18800E+02
tau_min 5 1 : 0.18800E+02 -- 0.18800E+02
tau_min 6 1 : 0.18800E+02 -- 0.18800E+02
tau_min 7 1 : 0.18800E+02 -- 0.18800E+02
tau_min 8 1 : 0.18800E+02 -- 0.18800E+02
 bpower is 4.0000000000000000
 Scale values (may change event by event):
 muR, muR_reference: 0.804190D+02 0.804190D+02 1.00
 muF1, muF1_reference: 0.804190D+02 0.804190D+02 1.00
 muF2, muF2_reference: 0.804190D+02 0.804190D+02 1.00
 QES, QES_reference: 0.804190D+02 0.804190D+02 1.00

 muR_reference [functional form]:
    fixed
 muF1_reference [functional form]:
    fixed
 muF2_reference [functional form]:
    fixed
 QES_reference [functional form]:
    fixed scale

 alpha_s= 0.11454717637449552
 alpha_s value used for the virtuals is (for the first PS point): 0.11454717637449552
  ==========================================================================================
 { }
 {   }
 {  ,,  }
 { `7MMM. ,MMF' `7MM `7MMF'  }
 {  MMMb dPMM MM MM  }
 {  M YM ,M MM ,6"Yb. ,M""bMM MM ,pW"Wq. ,pW"Wq.`7MMpdMAo.  }
 {  M Mb M' MM 8) MM ,AP MM MM 6W' `Wb 6W' `Wb MM `Wb  }
 {  M YM.P' MM ,pm9MM 8MI MM MM , 8M M8 8M M8 MM M8  }
 {  M `YM' MM 8M MM `Mb MM MM ,M YA. ,A9 YA. ,A9 MM ,AP  }
 { .JML. `' .JMML.`Moo9^Yo.`Wbmd"MML..JMMmmmmMMM `Ybmd9' `Ybmd9' MMbmmd'  }
 {  MM  }
 {  .JMML.  }
 { v2.9.11 (2022-06-03), Ref: arXiv:1103.0621v2, arXiv:1405.0301  }
 {   }
 { }
  ==========================================================================================
 ===============================================================
 INFO: MadLoop read these parameters from ../MadLoop5_resources/MadLoopParams.dat
 ===============================================================
  > MLReductionLib = 7
  > CTModeRun = -1
  > MLStabThres = 1.0000000000000000E-003
  > NRotations_DP = 0
  > NRotations_QP = 0
  > CTStabThres = 1.0000000000000000E-002
  > CTLoopLibrary = 2
  > CTModeInit = 1
  > CheckCycle = 3
  > MaxAttempts = 10
  > UseLoopFilter = F
  > HelicityFilterLevel = 2
  > ImprovePSPoint = 2
  > DoubleCheckHelicityFilter = T
  > LoopInitStartOver = F
  > HelInitStartOver = F
  > ZeroThres = 1.0000000000000001E-009
  > OSThres = 1.0000000000000000E-008
  > WriteOutFilters = T
  > UseQPIntegrandForNinja = T
  > UseQPIntegrandForCutTools = T
  > IREGIMODE = 2
  > IREGIRECY = T
  > COLLIERMode = 1
  > COLLIERRequiredAccuracy = 1.0000000000000000E-008
  > COLLIERCanOutput = F
  > COLLIERComputeUVpoles = T
  > COLLIERComputeIRpoles = T
  > COLLIERGlobalCache = -1
  > COLLIERUseCacheForPoles = F
  > COLLIERUseInternalStabilityTest = T
 ===============================================================

------------------------------------------------------------------------
| You are using CutTools - Version 1.9.3 |
| Authors: G. Ossola, C. Papadopoulos, R. Pittau |
| Published in JHEP 0803:042,2008 |
| http://www.ugr.es/~pittau/CutTools |
| |
| Compiler with 34 significant digits detetected |
 ----------------------------------------------------------------------

########################################################################
# #
# You are using OneLOop-3.6 #
# #
# for the evaluation of 1-loop scalar 1-, 2-, 3- and 4-point functions #
# #
# author: Andreas van Hameren <email address hidden> #
# date: 18-02-2015 #
# #
# Please cite #
# A. van Hameren, #
# Comput.Phys.Commun. 182 (2011) 2427-2438, arXiv:1007.4716 #
# A. van Hameren, C.G. Papadopoulos and R. Pittau, #
# JHEP 0909:106,2009, arXiv:0903.4665 #
# in publications with results obtained with the help of this program. #
# #
########################################################################

         *******************************************
         * C O L L I E R *
         * *
         * Complex One-Loop Library *
         * In Extended Regularizations *
         * *
         * by A.Denner, S.Dittmaier, L.Hofer *
         * *
         * version 1.2.5 *
         * *
         *******************************************

 ---- POLES CANCELLED ----
ABS integral = 0.5135E+02 +/- 0.1624E+02 ( 31.631 %)
Integral = 0.1536E+02 +/- 0.6963E+01 ( 45.324 %)
Virtual = 0.1451E+02 +/- 0.3463E+01 ( 23.856 %)
Virtual ratio = 0.8340E+02 +/- 0.1721E+01 ( 2.064 %)
ABS virtual = 0.1452E+02 +/- 0.3463E+01 ( 23.851 %)
Born*ao2pi = 0.1320E+00 +/- 0.2767E-01 ( 20.960 %)
Chi^2 per d.o.f. 0.0000E+00
accumulated results ABS integral = 0.5135E+02 +/- 0.1624E+02 ( 31.631 %)
accumulated results Integral = 0.1536E+02 +/- 0.6963E+01 ( 45.324 %)
accumulated results Virtual = 0.1451E+02 +/- 0.3463E+01 ( 23.856 %)
accumulated results Virtual ratio = 0.8340E+02 +/- 0.1721E+01 ( 2.064 %)
accumulated results ABS virtual = 0.1452E+02 +/- 0.3463E+01 ( 23.851 %)
accumulated results Born*ao2pi = 0.1320E+00 +/- 0.2767E-01 ( 20.960 %)
accumulated result Chi^2 per DoF = 0.0000E+00
  1: 0 1 2 3 4
channel 1 : 1 T 1040 0 0.5135E+02 0.1536E+02 0.4263E+00
 ------- iteration 2
 Update # PS points (even): 2080 --> 2080
ABS integral = 0.5696E+02 +/- 0.7616E+01 ( 13.371 %)
Integral = 0.2830E+02 +/- 0.5481E+01 ( 19.371 %)
Virtual = 0.1057E+01 +/- 0.7528E+00 ( 71.196 %)
Virtual ratio = 0.9840E+02 +/- 0.8746E+00 ( 0.889 %)
ABS virtual = 0.2618E+01 +/- 0.7509E+00 ( 28.681 %)
Born*ao2pi = 0.1594E+00 +/- 0.2555E-01 ( 16.026 %)
Chi^2= 0.5526E-01
accumulated results ABS integral = 0.5517E+02 +/- 0.6896E+01 ( 12.499 %)
accumulated results Integral = 0.2260E+02 +/- 0.4307E+01 ( 19.058 %)
accumulated results Virtual = 0.3460E+01 +/- 0.7356E+00 ( 21.257 %)
accumulated results Virtual ratio = 0.9334E+02 +/- 0.7797E+00 ( 0.835 %)
accumulated results ABS virtual = 0.4739E+01 +/- 0.7339E+00 ( 15.486 %)
accumulated results Born*ao2pi = 0.1463E+00 +/- 0.1877E-01 ( 12.834 %)
accumulated result Chi^2 per DoF = 0.5526E-01
  1: 0 1 2 3 4
channel 1 : 1 T 2080 1040 0.5517E+02 0.2260E+02 0.1066E+00
****************************************************************************************************************************************************************
****************************************************************************************************************************************************************
****************************************************************************************************************************************************************
****************************************************************************************************************************************************************
****************************************************************************************************************************************************************

but from GF27 I only see one file per directory - input_app.txt

 For 100 I got a similar error as previously:

 Traceback (most recent call last):
   File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/bin/internal/extended_cmd.py", line 1541, in onecmd
     return self.onecmd_orig(line, **opt)
   File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/bin/internal/extended_cmd.py", line 1490, in onecmd_orig
     return func(arg, **opt)
   File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/bin/internal/amcatnlo_run_interface.py", line 1699, in do_launch
     evt_file = self.run(mode, options)
   File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/bin/internal/amcatnlo_run_interface.py", line 1930, in run
     self.run_all_jobs(jobs_to_run,mint_step,fixed_order=False)
   File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/bin/internal/amcatnlo_run_interface.py", line 2136, in run_all_jobs
     self.wait_for_complete(run_type)
   File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/bin/internal/amcatnlo_run_interface.py", line 4716, in wait_for_complete
     self.cluster.wait(self.me_dir, update_status)
   File "/local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/bin/internal/cluster.py", line 829, in wait
     raise Exception(self.fail_msg)
 Exception: program /local1/czurylo/public/event-generators/MG5_aMC_v2_9_11/100_TEV_NLO_new_trial/SubProcesses/P0_gg_bbbxbx_no_h/ajob1 33 F 0 0 launch ends with non zero status: 1. Stop all computation

I am now trying your last suggestion with setting

#MinVirtualFraction
1.0d0

I just have one last question, do you think using reweighting, as in the initial settings:

5. Add weights to events for new hypp. | reweight = OFF | ON|NLO|NLO_TREE|LO

would any of the other options help solving any of these issues? I've been keeping it OFF so far, but maybe this could also have an impact?

Cheers,
Marta

Can you help with this problem?

Provide an answer of your own, or ask Marta Czurylo for more information if necessary.

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