Differences

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--- tutorial:madgraph [2018/12/11 19:02] – minerva1993
+++ tutorial:madgraph [2023/03/06 13:44] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
-===== Install Madgraph =====
+==== Install Madgraph ====
-You have to install MG5 in your home directory.
+<alert type="info">**Note:** There can be troubles in compiling/library linking/etc at the runtime.
-<alert type="info">**Note:** Fully working installation script is prepared https://github.com/Yadoking/GenProduction/blob/master/install/install_madgraph.sh</alert>
-<alert type="info">**Note:** There can be troubles in compiling/library linking/etc at the runtime.</alert>
+</alert>
-Initial setup - install CMSSW and MG5 from launchpad
+Initial setup - install MG5 from launchpad
 <code>
 mkdir -p ~/work/MG5
 cd ~/work/MG5
-wget https://launchpad.net/mg5amcnlo/2.0/2.6.x/+download/MG5_aMC_v2.6.0.tar.gz
+wget https://launchpad.net/mg5amcnlo/2.0/2.6.x/+download/MG5_aMC_v2.6.4.tar.gz
-tar xzf MG5_aMC_v2.6.0.tar.gz
+tar xzf MG5_aMC_v2.6.4.tar.gz
 </code>
 Setup the devtoolset to use updated gcc and python.
 <code>
+# Don't need to source following lines in Ubuntu and Mac.
 # source /opt/rh/devtoolset-4/enable
 # source /opt/rh/python27/enable
@@ Line 19: / Line 19: @@
 </code>
-Install missing tools.
+Install missing tools. Order does matter.
 <code>
 bin/mg5_aMC
@@ Line 31: / Line 31: @@
 </code>
-<alert type="info">The "OneLoop" package have to be recompiled, after modifying the source code</alert>
+<alert type="info">For NLO production, the "OneLoop" package have to be recompiled, after modifying the source code</alert>
 Open the fortran source code ''HEPTools/oneloop/OneLOop-3.6/src/avh_olo_print.f90'' and modify the line 61, replace ''real(kindr2)'' to ''double precision'' (in the ''printr'' function).
 This is because of a gfortran bug. See https://bugs.launchpad.net/mg5amcnlo/+bug/1631604 and https://answers.launchpad.net/mg5amcnlo/+question/268548#16
@@ Line 99: / Line 99: @@
 </code>
+To speed up the parton shower step, you can set ''nsplit_jobs=10'' in the shower_card.dat
+==== Running on Cluster mode ====
+The default setup is ''multicore-mode'', but also you can use the''cluster mode'' if you have to produce lots of events.
+Edit the ''madgraph/various/cluster.py'' file first (line 1286), since the default submission script is not fit with the HTOP cluster. (see https://cp3.irmp.ucl.ac.be/projects/madgraph/wiki/General-Scripts#no1)
+<code>
+        command = ['qsub','-o', stdout,
+                     '-S', '/bin/bash',
+                     '-N', me_dir,
+                     '-e', stderr,
+                     '-V']
+</code>
+and add the following lines to your configuration file, ''input/mg5_configuration.txt''
+<code>
+cluster_type = sge
+cluster_size = 96
+</code>
+and run with ''--cluster'' option
+<code>
+bin/generate_events --cluster
+</code>
+But in this case, you should not run delphes automatically because multiple delphes sessions will make a crash.
+==== Basic Syntax ====
+==== Get New PDF ====
+==== Parameters for Run Card ====
+==== Disable HEPMC compression ====
+만들어진 HEPMC파일을 압축하는데에는 시간이 오래 걸리므로, 외부에서 delphes를 사용할 것이라면 압축하지 않고 다음 job으로 넘어가는 것이 빠르다.
+<code>
+vi path_to-MG5/madgraph/interface/madevent_interface.py
+</code>
+line 5291의 ''misc.gzip(file_path,stdout=file_path)''를 추석처리한다. 이미 데이터셋 'output folder_name'를 만들었다면, 해당 폴더에서
+<code>
+vi bin/internal/madevent_interface.py #코드 수정
+rm bin/internal/madevent_interface.pyo
+</code>