Analyzing the Putative Higgs Boson using Support Vector Machines.

Ghimire, Mukesh.

Support vector machines (SVMs) provide the mathematical framework for a powerful data classifier, which are of great interest in experimental physics. In this project I tested the classifying efficacy of SVMs against that of boosted decision trees (BDTs), which was the data classifier used to discover the Higgs boson in 2012. We tested various parameters that affected the performance of the classi... read more

Higgs bosons.
Support vector machines.
Tufts University. Department of Physics and Astronomy.
Tufts University. Department of Mathematics.
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ID: tufts:sd.0000358
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