Searching for New Physics: Contributions to LEP and the LHC

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@PhdThesis{cranmer:thesis,
  author =       "Kyle S. Cranmer",
  title =        "Searching for New Physics: Contributions to LEP and
                 the LHC",
  school =       "University of Wisconsin-Madison",
  year =         "2005",
  keywords =     "genetic algorithms, genetic programming, PhysicsGP",
  URL =          "http://www.theoryandpractice.org/kyle/Files/cranmer_thesis.pdf",
  size =         "233 pages",
  abstract =     "This dissertation is divided into two parts and
                 consists of a series of contributions to searches for
                 new physics with LEP and the LHC. In the first part, an
                 exhaustive comparison of ALEPH's LEP2 data and Standard
                 Model predictions is made for several hundred final
                 states. The observations are in agreement with
                 predictions with the exception of the e",
  notes =        "'I would like to use one page to point out that if
                 this dissertation was not double-spaced, then it would
                 be fifty pages shorter. This is practice is silly and
                 antiquated in the era of LATEX typesetting.'

                 'In total, three multivariate analyses were
                 performed:

                 a Neural Network analysis using back-propagation with
                 momentum,

                 a Support Vector Regression analysis using Radial Basis
                 Functions, and

                 a Genetic Programming analysis using the software
                 described in Appendix E.'

                 Copyright by Kyle S. Cranmer 2005 Some Rights Reserved
                 This work is licensed under the Creative Commons
                 Attribution-ShareAlike License. To view a copy of this
                 license, visit
                 http://creativecommons.org/licenses/by-sa/2.0/ or send
                 a letter to Creative Commons, 559 Nathan Abbott Way,
                 Stanford, California 94305, USA.",
}

Genetic Programming entries for Kyle S Cranmer

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