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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Search for Stop using Machine Learning : A Bachelors Project in Physics

Gautam, Daniel January 2021 (has links)
In this thesis the application of machine learning algorithms as a tool in the search for top squark is studied. Two neural network models are trained with simulated stop events as signal against dileptonic and semi-leptonic top pair production events as background. There is a substantial class imbalance between the number of signal and background samples that are used. The performance of the neural network models are compared to the performance of a cut and count method. None of the models outperform the standard cut and count method.
Particle physics
ATLAS
Supersymmetry
Machine learning
Deep neural network
Stop
Top squark
Binary classification
Subatomic Physics
Subatomär fysik

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