Science: knowledge discovery in high-energy particle and nuclear physics

Authors:
David Zimmerman;Iwona Sakrejda;Doug Olson
Affiliations:
Lawrence Berkeley National Laboratory, Berkeley, California;Computing Systems Engineer, Lawrence Berkeley National Laboratory, Berkeley, California;Lawrence Berkeley National Laboratory, Berkeley, California
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

The fields of high energy and nuclear physics are faced with difficult challenges in terms of both the complexity and volume of data. This article contains a description of some of the tools that have been and will be used in physics data handling. It includes a description of the application of artificial neural network tools to the search for the top quark at the Fermi National Accelerator Laboratory. In addition, this article describes a new data handling framework, which will support deep drill-down data mining in physics analysis.