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Machine Learning Application in HEP for improving signal significance for ALICE data, LHC-CERN

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MachineLearning_HEP_ALICEdataCERN

Machine Learning Application in HEP for improving signal significance for ALICE data, LHC-CERN

Kstar.C Constructing features for ML from the data. Reconstructing Kstar particle from daughter particle decay tracks.

Kstarrun.C Machine Learning classification of signal and background events.

applicationrun.C Predicting labels for new data.

invmass.C Reconstructing invariant mass of Kstar signal and calculating significance.

Find more details in the thesis. https://www.virajthakkar.com/projects

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Machine Learning Application in HEP for improving signal significance for ALICE data, LHC-CERN

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