2026-09-20T10:38:31Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/655352022-01-13T07:54:41Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Richard Milner.
Tolley, Emma Elizabeth
Massachusetts Institute of Technology. Dept. of Physics.
Massachusetts Institute of Technology. Department of Physics
2011-08-30T15:47:16Z
2011-08-30T15:47:16Z
2011
2011
http://hdl.handle.net/1721.1/65535
746920295
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 41).
I implemented event reconstruction of a Monte Carlo simulation using neural networks. The OLYMPUS Collaboration is using a Monte Carlo simulation of the OLYMPUS particle detector to evaluate systematics and reconstruct events. This simulation registers the passage of particles as 'hits' in the detector elements, which can be used to determine event parameters such as momentum and direction. However, these hits are often obscured by noise. Using Geant4 and ROOT, I wrote a program that uses artificial neural networks to separate track hits from noise and reconstruct event parameters. The classification network successfully discriminates between track hits and noise for 97.48% of events. The reconstruction networks determine the various event parameters to within 2-3%.
by Emma Elizabeth Tolley.
S.B.
41 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Physics.
Monte Carlo event reconstruction implemented with artificial neural networks
Thesis
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