Repository for the Heavy Resonance Tagging exercise for CMSDAS@LPC2025 - https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideCMSDataAnalysisSchoolLPC2025TaggingExercise
The tutorial is heavily based on the jet tagging tools and framework/files.
Produced for the BoostedJet Tagging paper JME-18-002 and the corresponding HATS.
DAS exercise in 2024
DAS exercise in 2023
DAS exercise in 2022
HATS exercise in 2021
HATS exercise in 2020
This exercise works on Fermilab EAF.
To run on FNAL EAF, you will need to be on the Fermilab fgz network (if you are onsite) or use a VPN (if you are offsite, https://redtop.fnal.gov/guide-to-vpn-connections-to-fermilab/). Then login at https://analytics-hub.fnal.gov using your FNAL Services credentials. Once you successfully connect, select CMS - CPU Interactives - AL9 Dask (Coffea 0.7.x) [stable](top left) server options, as shown in the image below.
Click Start at the bottom of the page.
To open a Terminal click on the corresponding option in the Launcher Tab. If the Launcher tab is not open, you can open a new one from the File menu in the top left. This will open a new tab with a bash terminal.
We will copy your grid certificates from the LPC cluster, to do this, got to the terminal you just opened.
Execute the following commands (following the appropriate prompts) to copy your certificate from the LPC to Jupyter (note: replace username with your FNAL username!)
The following command will prompt you for your FNAL password
kinit [email protected]
rsync -rLv [email protected]:.globus/ ~/.globus/
chmod 755 ~/.globus
chmod 600 ~/.globus/*
kdestroyIf you have a password on your grid certificate, you'll need to remember to execute the following in a terminal each time you log in to Jupyter. Similar to the LPC cluster, you will get a new host at each logon, and the new host won't have your old credentials.
Each time you log in, open a terminal and execute:
voms-proxy-init -voms cms -valid 192:00python -m pip install tensorflow==2.14.1Open up a terminal and run the following command from your home area:
git clone https://github.com/IreneZoi/HATS_HRT.git das2025_hrtOn the left you should see the das2025_hrt directory you created. Double click to go in it. Now double click on the notebook HeavyResonanceTagging.ipynb. Select the Python3 (Safe mode) kernel.
Run the notebook HeavyResonanceTagging.ipynb. First run the various cells. There are instructions as you go and a list of exercises at the end of the notebook.
Login at https://swan-k8s.cern.ch/ using your CERN credentials. Once you successfully connect, select the default environmentas shown in the image below. You can learn more about SWAN here https://swan.web.cern.ch/swan/.
Open up a terminal as shown in the image below
Check if you have a .globus directory in your SWAN home area with a recent and valid certificate
ls -altr .globusIf not, create the .globus directory
mkdir .globusand copy the p12 file from your .globus directory on lxplus /afs area or LPC. Once copied, you will install it:
scp [email protected]:.globus/myCertificate.p12 ~/.globus/
openssl pkcs12 -clcerts -nokeys -in myCertificate.p12 -out usercert.pem
openssl pkcs12 -nocerts -in myCertificate.p12 -out userkey.pem
chmod go-rw $HOME/.globus/userkey.pemIf you have a password on your grid certificate, you'll need to remember to execute the following in a terminal each time you log in to Jupyter. Similar to the LPC cluster, you will get a new host at each logon, and the new host won't have your old credentials.
Each time you log in, open a terminal and execute:
voms-proxy-init -voms cms -valid 192:00Run the following command from your home area:
git clone https://github.com/IreneZoi/HATS_HRT.git das2025_hrtYou should now find the das2025_hrt directory in your CERNbox. Double click to go in it. Now double click on the notebook HeavyResonanceTagging.ipynb. Select the Python3 kernel.
Run the notebook HeavyResonanceTagging.ipynb. First run the various cells. There are instructions as you go and a list of exercises at the end of the notebook.