DiTau_L1

DiTau studies for L1 trigger

Conda environment

Create conda environment:

conda-env create -f environment.yml

Activate the environment:

conda activate DiTau_L1

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

Running jupyter notebook on submit machine at MIT

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!