• Go to lyovis10
• Clone this directory
• Put this package in your python path by doing:

source ./init.sh

Also install cpyroot

datacard_and_plot_maker -o TEST -s True

On your computer, open a terminal and establish an ssh connection to lyovis10:

ssh -L8889:lyovis10:8889 lyovis10

This forwards the local port 8889 to port 8889 on lyovis10.

On lyovis10, activate the conda environment and start the jupyter notebook server:

conda activate base

And start the jupyter notebook server from the htt_plot directory.

jupyter notebook --no-browser --port=8889 --ip=0.0.0.0

Since the server listens to port 8889, you can connect to this port on your local computer, and the connection will be forwarded to port 8889 on lyovis10. So start a web browser and go to http://localhost:8889/.

In the browser, open macros/test_dask.ipynb.

See above how to use jupyter notebook remotely.

Then, in the jupyter notebook, open harvesting/dataset_report.ipynb

You should disable parallel mode in the main macro for development and debugging

• add the proper cross-section and generated number of events for the MC datasets
• implement the final signal selection cut
• start implementing the various background estimation methods