A Search for the SM Higgs Boson by Burt DeWilde Kalamazoo College Against all odds.

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Presentation transcript:

A Search for the SM Higgs Boson by Burt DeWilde Kalamazoo College Against all odds

The Standard Model (again) Particles grouped into generations by mass Higgs field with non- zero VEV causes EWSB -> mass Higgs boson is the particle associated with this field

The Tevatron

The D0 Detector

Run I vs. Run II Increase in center-of- mass energy->1.96TeV Increase in number of bunches, decrease in spacing of bunches Much higher luminosity (Hopefully) enough for Higgs boson detection

Higgs Production Modes

Higgs Decay Modes bb channel dominant up to M=135GeV Z boson decays into two muons less frequent, but also cleaner channel

Neural Network Structure

NN Variables: Signal, Background, and Data

Training Method Comparison

Signal Significance vs. Training Method

Optimal # of Epochs for # of Hidden Neurons

Signal Significance vs. Optimal # of Neurons/Epochs

Signal Significance vs. NN Weighting Scheme

Invariant Mass Distributions for Potential Higgs Masses

Signal Significance vs. Invariant Mass Base Cut

NN Results for Higgs M=105GeV

NN Results for Higgs M=115GeV

NN Results for Higgs M=125GeV

NN Results for Higgs M=135GeV

NN Results for Higgs M=145GeV

NN Results for Higgs M=155GeV

Importance of the Results NN achieves better signal/background discrimination than cuts on Mjj alone NN analysis gives better signal significance than conventional analysis Integrated luminosity required for Higgs detection reduced 40-70% Not too shabby

Acknowledgements Andy Haas, for meaning, direction, and data The Nevis crew, for troubleshooting and much-needed moral support The National Science Foundation, for research experience and money

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