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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)

Chapter: Robert Jacobsen Statistical Analysis of High Energy Physics Data

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Suggested Citation:"Robert Jacobsen Statistical Analysis of High Energy Physics Data ." National Research Council. 2004. Statistical Analysis of Massive Data Streams: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/11098.
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Page 69

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STATISTICAL ANALYSIS OF HIGH ENERGY PHYSICS DATA 69 Robert Jacobsen Statistical Analysis of High Energy Physics Data Transcript of Presentation and PowerPoint Slides BIOSKETCH: Robert Jacobsen obtained a BSEE from Massachusetts Institute of Technology in 1978. He spent 1976 through 1986 working in the computer and data communications industry for a small company that was successively bought out by larger companies. He left in 1986 to return to graduate school in physics, obtaining his PhD in experimental high energy physics from Stanford in 1991. From 1991 through 1994, he was a scientific associate and scientific staff member at CERN, the European Laboratory for Nuclear Physics, in Geneva, Switzerland. While there, he was a member of the ALEPH collaboration concentrating on B physics and on the energy calibration of the LEP collider. He joined the faculty at Berkeley in 1995.

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Massive data streams, large quantities of data that arrive continuously, are becoming increasingly commonplace in many areas of science and technology. Consequently development of analytical methods for such streams is of growing importance. To address this issue, the National Security Agency asked the NRC to hold a workshop to explore methods for analysis of streams of data so as to stimulate progress in the field. This report presents the results of that workshop. It provides presentations that focused on five different research areas where massive data streams are present: atmospheric and meteorological data; high-energy physics; integrated data systems; network traffic; and mining commercial data streams. The goals of the report are to improve communication among researchers in the field and to increase relevant statistical science activity.

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