This lesson is in the early stages of development (Alpha version)

CMSDAS: Muon Detector Shower (MDS) Long Exercise: Setup

Run exercises in cmslpc

Open a terminal/console, connect to cmslpc-el9 and prepare your working area:

kinit username@FNAL.GOV
ssh -L localhost:8888:localhost:8888 <YOUR USERNAME>@cmslpc-el9.fnal.gov

If you haven’t done it yet, go to your nobackup area (/uscms_data/d3/<YOUR USERNAME>/) and create a folder for the CMSDAS exercises. Once you are there you can setup the CMSSW environment and clone our repository:

cmsrel CMSSW_14_1_0_pre4
cd CMSSW_14_1_0_pre4/src
cmsenv

git clone git@github.com:kakwok/MDS_CMSDAS.git -b 2025
cd MDS_CMSDAS

The following commands one has to do it everytime you log in into a new session. They load the environment and the packages needed for the exercises and open a jupyter notebook:

source /cvmfs/sft.cern.ch/lcg/views/LCG_105/x86_64-el9-gcc11-opt/setup.sh
jupyter notebook --no-browser --port=8888 --ip 127.0.0.1

Remember

The port number 8888 needs to match the port number you log-in to cmslpc.

If someone has taken the 8888 port on the cmslpc node, you will need to use another one.

If these two lines are running sucessfully, you should see something like this:


[I 16:02:17.479 NotebookApp] Serving notebooks from local directory: /uscms_data/d3/kkwok/cmsdas/MDS_Ex/MDS_CMSDAS
[I 16:02:17.480 NotebookApp] Jupyter Notebook 6.4.0 is running at:
[I 16:02:17.480 NotebookApp] http://127.0.0.1:8888/?token=6aaf053d114b42696b20bc6df83c1c9078e1253a91cce3b3
[I 16:02:17.480 NotebookApp]  or http://127.0.0.1:8888/?token=6aaf053d114b42696b20bc6df83c1c9078e1253a91cce3b3
[I 16:02:17.480 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 16:02:17.516 NotebookApp] 
    
    To access the notebook, open this file in a browser:
        file:///uscms/homes/k/kkwok/.local/share/jupyter/runtime/nbserver-26071-open.html
    Or copy and paste one of these URLs:
        http://127.0.0.1:8888/?token=6aaf053d114b42696b20bc6df83c1c9078e1253a91cce3b3
     or http://127.0.0.1:8888/?token=6aaf053d114b42696b20bc6df83c1c9078e1253a91cce3b3

Copy and paste one of the last two urls in your favorite browser and now you can continue with the lesson 1 (Episode 1).

Useful tips

Since we launch jupyter server frequently, you can make an alias for that command in your ~/.bashrc file

alias sourcelcg='source /cvmfs/sft.cern.ch/lcg/views/LCG_105/x86_64-el9-gcc11-opt/setup.sh'
alias launchJupyter='jupyter notebook --no-browser --port=8888 --ip 127.0.0.1'

then you can just do

sourcelcg
launchJupyter

after you login.