Zoom link: https://cern.zoom.us/j/61532761187?pwd=bnd0aFIrM3JHV05oYnpOZm11cFh6dz09
Meeting ID: 615 3276 1187
Passcode: 770451
Questions to all facilitators:
Notes:
Abstract: This exercise is an introduction to novel techniques used to search for unusual occurrences in a dataset, for instance a few new physics events in an overwhelming standard model background. The two big classes of techniques will be presented.
Prerequisites: Basic knowledge of Python and machine learning will be assumed. The practical part of the exercise is based on PyTorch. It uses a Jupyter notebook that runs on Google Colab, locally, or at any supporting cluster (e.g. NAF or lxplus). Access to a CUDA-enabled GPU (as provided by Colab) helps but is not strictly necessary.
Please change the name to be more specific!
Abstract: In this exercise you will learn to find the samples you need for an analysis and information about them, for instance their cross section or how they were produced. You will also learn how the CMS simulation chain works and how to run it on your own.
Prerequisites: The exercise involves running CMSSW on the command line. It requires a working grid proxy.
The forward proton detectors are new detectors introduced during LHC Run 2 by the CMS collaboration and are used to recontsruct scattered protons that emerge intact from the proton-proton interaction. In this exercise, we will learn about the process of proton reconstruction and its application in analysis, following the latest recommendations provided by the Proton Object Group.
Throughout this exercise, participants will use the nanoAOD data/MC samples with CMSSW, obtain analysis ntuple with proton objects, and make validation plots from the obtained ntuples using Jupiter notebook.
The exercise is a bit old, but it was quite successful at the CMSDAS @CERN
UPDATE: technology for the exercise: simple python scripts, possibility to set up fit in Combine upon students' initiative. The fact that the code is very simple gives the student the possibility to do an analysis from beginning to end, without having to learn advanced software frameworks (which is very hard in just a few days)
Abstract: In this exercise you will measure a value missing from the PDG: the branching fraction of the Z boson to two muons and a photon. Starting from MiniAOD, you will perform the necessary corrections to the simulation and obtain a result free of detector effects.
Prerequisites: Ideally you should have followed the Muon and/or EGamma exercises. An understanding of generators and triggers will also be useful. The exercise will be done in C++ using the ROOT libraries.