Name		Name	Last commit message	Last commit date
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snippets		snippets
Classification-Training.ipynb		Classification-Training.ipynb
Data-Inspection.ipynb		Data-Inspection.ipynb
Event-selection-optimization.ipynb		Event-selection-optimization.ipynb
Proton-Reconstruction.ipynb		Proton-Reconstruction.ipynb
README.md		README.md
Workspace-Background-Mixing.ipynb		Workspace-Background-Mixing.ipynb
Workspace-Processing.ipynb		Workspace-Processing.ipynb
condor.sub		condor.sub
create_table.py		create_table.py
create_table_noProtons.py		create_table_noProtons.py
select_events.py		select_events.py
sub_condor.csh		sub_condor.csh

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Physics with tagged protons: exclusive di-lepton production for the 2020 CMSDAS

General information on CMSDAS 2020:

Recommended:: watch here the short exercise introduction video.

To run the notebooks with regular CERN resources:

Open a SWAN session (the defaults are good, as of writing this pick software stack 97a and make sure to use Python3)
In the SWAN session, click on the item on the right-hand side that says "Download Project from git"
Copy-paste https://github.com/CMSDAS/pps-long-exercise.git

Data exploration notebook - here we will study the signature of the searched process, and we will learn about event and object selections.
Optimization notebook - here we will optimize event selection using a simple figure of merit to decide which cut is optimal
Proton recontsruction - In this notebook, we will select events with protons, tagged by the forward proton spectrometer (PPS), and practice how to correlate the information obtained by PPS with the event measured in the central detector.
Clasification notebook - here we will prepare a simple setup to train a multivariate discriminator to separate the signal from the background.

IN PREPARATION...