Codes and documentation for L1Tau.
Authors: Orion Foo, Duc Hoang, Phil Harris. (MIT)
Create conda environment:
conda-env create -f environment.yml
Activate the environment:
conda activate tau_training
And then do whatever you want in this environment (edit files, open notebooks, etc.). To deactivate the environment:
conda deactivate
If you make any update for the environment, please edit the environment.yml
file and run:
conda env update --file environment.yml --prune
Reference on conda environment here: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
You could run the notebook on the submit machine by ssh tunneling, first you need to ssh into the machine using:
ssh -L 127.0.0.1:8722:127.0.0.1:8722 <username>@submit03.mit.edu
Then, cd
to the directory of your choice:
conda activate tau_training
You could then open the notebook:
jupyter notebook --no-browser --port 8722 --ip 127.0.0.1
It would produce a link and then you can copy the link and paste it to your local browser to open the notebook!
- CDS publication:
- Public Twiki (v2): https://twiki.cern.ch/twiki/bin/view/CMSPublic/L1Phase2NNPuppiTau
- Orion's talk in Tau-Jets-MET: https://indico.cern.ch/event/1321399/#17-phase-2-nn-puppi-taus
- DP Note Tau ID v2 talk: https://indico.cern.ch/event/1298326/#14-dp-note-nn-puppi-taus
- Duc's retraining Tau talk at L1 General Meeting: https://indico.cern.ch/event/1271855/#202-performance-report-algorit
- Official Document on Rates: https://indico.cern.ch/event/1257943/contributions/5343040/attachments/2633523/4567965/AlgorithmsAndPerformance_2023_4.pdf
- TauID @ L1 Talk (Phil): https://www.dropbox.com/s/84jbya301jtac8l/PCH_Tau_25_03.pdf?dl=0