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Improving Close Photons' Resolution in CERN's CMS HGCAL Next Detector with Machine Learning Techniques (XGBoost, Pytorch's NN)

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ICL_CMS_Internship_2022

Improving Close Photons' Resolution in CERN's CMS HGCAL Next Detector with Machine Learning Techniques (XGBoost, Pytorch's NN)

0.Helpers Contains headers for the rest of code and Testing C++ files

1.AddTTrees Contains a series of C++ files for reading TTrees created by HGCAL's software and generating other TTrees with some extra information.

2.ReadTrees Contains C++ files for reading events and making plots and statistics.

3.Analysis Contains:

  • C++ files for saving root TTrees information into txt files
  • Pthon files for analysis the produced txt files with ML techniques
  • pycache
  • spyder's project folder .spyproject

myData Ideally contains produced txt files

myTTrees Ideally contains root files with TTrees

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Improving Close Photons' Resolution in CERN's CMS HGCAL Next Detector with Machine Learning Techniques (XGBoost, Pytorch's NN)

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