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Random Numbers from Astronomical Imaging

  • Kevin A. Pimbblet (a1) and Michael Bulmer (a2)
Abstract
Abstract

This article describes a method to turn astronomical imaging into a random number generator by using the positions of incident cosmic rays and hot pixels to generate bit streams. We subject the resultant bit streams to a battery of standard benchmark statistical tests for randomness and show that these bit streams are statistically the same as a perfect random bit stream. Strategies for improving and building upon this method are outlined.

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Copyright
Corresponding author
CCorresponding author. Email: pimbblet@physics.uq.edu.au
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

A. Dressler , & S. A. Shectman 1988, AJ, 95, 985

R. J. Nemiroff , & J. B. Rafert 1999, PASP, 111, 886

K. A. Pimbblet , & M. J. Drinkwater 2004, MNRAS, 347, 137

K. A. Pimbblet , I. Smail , T. Kodama , W. J. Couch , A. C. Edge , A. I. Zabludoff , & E. O'Hely 2002, MNRAS, 331, 333

J. Pitman 1993, Probability (New York, NY: Springer)

P. Revesz 1990, Random Walk in Random and Non-Random Environments (Singapore:World Scientific)

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Publications of the Astronomical Society of Australia
  • ISSN: 1323-3580
  • EISSN: 1448-6083
  • URL: /core/journals/publications-of-the-astronomical-society-of-australia
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