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Measuring tW scattering

Sample version history

  • v0p1p12: data processing (no MC submitted yet)
  • v0p1p11: dilep/trilep skim only! added variables for ttH lepton ID
  • v0p1p10: intermediate version
  • v0p1p9: used for initial tW scattering studies presented in SnT

Setting up the code

Prerequisite: if you haven't, add this line to your ~/.profile:

source /cvmfs/cms.cern.ch/cmsset_default.sh

Currently lives within CMSSW_10_2_9. Set up in a fresh directory, recipe as follows:

cmsrel CMSSW_10_2_9
cd CMSSW_10_2_9/src
cmsenv
git cms-init

git clone --branch tW_scattering https://github.com/danbarto/nanoAOD-tools.git NanoAODTools

cd $CMSSW_BASE/src

git clone --recursive https://github.com/danbarto/tW_scattering.git

scram b -j 8
cmsenv

Then you can set up the tools to run coffea. You might get some error messages about packages that couldn't get uninstalled that you can ignore.

cd tW_scattering
source setup_environment.sh
deactivate
source activate_environment.sh

Every time you want to use coffea you need to activate the environment this has changed in order to disentangle coffea from CMSSW

source activate_environment.sh

To deactivate the coffea environment, just type deactivate

Use available nanoAOD tools to quickly process samples.

Usage of jupyter notebooks

To install jupyter inside the coffeaEnv do the following (now part of the setup script too):

python -m ipykernel install --user --name=coffeaEnv
jupyter nbextension install --py widgetsnbextension --user
jupyter nbextension enable widgetsnbextension --user --py

To start the server run the following script:

source start_jupyter.sh

Which should return

Starting up jupyter server. Once this is done, run the following command on your computer:
  ssh -N -f -L localhost:8893:localhost:8893 johndoe@uaf-10.t2.ucsd.edu
Enabling notebook extension jupyter-js-widgets/extension...
      - Validating: OK
[I 05:05:26.927 NotebookApp] Serving notebooks from local directory: /home/users/johndoe/TTW/CMSSW_10_2_9/src/tW_scattering
[I 05:05:26.927 NotebookApp] 0 active kernels
[I 05:05:26.927 NotebookApp] The Jupyter Notebook is running at:
[I 05:05:26.928 NotebookApp] http://localhost:8893/?token=abcdefghijkl
[I 05:05:26.928 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 05:05:26.930 NotebookApp]

    Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://localhost:8893/?token=abcdefghijkl

On your local machine do the following to connect to uaf

ssh -N -f -L localhost:8893:localhost:8893 uaf-10.t2.ucsd.edu

Then just paste the jupyter link into your browser and start working.

Troubleshooting

  • If the ssh command does not work, you might need to add a username like ssh -N -f -L localhost:8893:localhost:8893 YOUR_UAF_USER@uaf-10.t2.ucsd.edu, where YOUR_UAF_USER is your username on the uaf.
  • If you already have a jupyter server running on the uaf, another port will be used instead of 8893. In this case, alter the ssh -N -f ... command so that it matches the ports. To stop a running jupyter server that is running but you can't find anymore, run ps aux | grep $USER. This will return you the list of processes attributed to your user. You should also find sth like
dspitzba 3964766  1.3  0.0  87556 44720 pts/17   S+   05:03   0:02 python /cvmfs/cms.cern.ch/slc6_amd64_gcc700/cms/cmssw/CMSSW_10_2_9/external/slc6_amd64_gcc700/bin/jupyter-notebook --no-browser --port=8893

To stop this process, just type kill 3964766. In this case, 3964766 is the process id (PID) of the jupyter server process.

  • If a port is already used on your machine because of a not properly terminated ssh session, run the following command on your computer ps aux | grep ssh. This returns a similar list as before. There should be a job like
daniel           27709   0.0  0.0  4318008    604   ??  Ss    8:11AM   0:00.00 ssh -N -f -L localhost:8893:localhost:8893 uaf-10.t2.ucsd.edu

Similarly, you can stop the process by running kill 27709.

Get combine (for later)

Latest recommendations at https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/#setting-up-the-environment-and-installation

cd $CMSSW_BASE/src
git clone https://github.com/cms-analysis/HiggsAnalysis-CombinedLimit.git HiggsAnalysis/CombinedLimit
cd HiggsAnalysis/CombinedLimit
git fetch origin
git checkout v8.0.1
scramv1 b clean; scramv1 b # always make a clean build

for combineTools (for later)

cd $CMSSW_BASE/src
wget https://raw.githubusercontent.com/cms-analysis/CombineHarvester/master/CombineTools/scripts/sparse-checkout-https.sh; source sparse-checkout-https.sh
scram b -j 8