---
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title: Random Numbers from Astronomical Imaging (2005)
url: https://www.cambridge.org/core/journals/publications-of-the-astronomical-society-of-australia/article/random-numbers-from-astronomical-imaging/5F41FF42864F2774A47A0B4B09A43989
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# Random Numbers from Astronomical Imaging | Publications of the Astronomical Society of Australia | Cambridge Core

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Publications of the Astronomical Society of Australia

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##### This article has been cited by the following publications. This list is generated based on data provided by [CrossRef][28].

* * *

Zhu, Hegui Zhao, Cheng Zhang, Xiangde and Yang, Lianping 2013\. A novel iris and chaos-based random number generator. _Computers & Security_, Vol. 36, p. 40\. 

    * [CrossRef][29]
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* * *

Zhu, Hegui Zhang, Xiangde and Yang, Lianping 2009\. _Weierstrass Function-based Uniform Random Number Generator_. p. 343\. 

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    * [Google Scholar][32]
* * *

Farage, Catherine L. and Pimbblet, Kevin A. 2005\. Evaluation of Cosmic Ray Rejection Algorithms on Single-Shot Exposures. _Publications of the Astronomical Society of Australia_, Vol. 22, Issue. 03, p. 249\. 

    * [CrossRef][33]
    * [Google Scholar][34]
* * *

Pimbblet, Kevin A. 2005\. Pulling Out Threads from the Cosmic Tapestry: Defining Filaments of Galaxies. _Publications of the Astronomical Society of Australia_, Vol. 22, Issue. 02, p. 136\. 

    * [CrossRef][35]
    * [Google Scholar][36]
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* * [Volume 22][38], [Issue 1 ][39]
* 2005 , pp. 1-5

# Random Numbers from Astronomical Imaging

* [Kevin A. Pimbblet][40] (a1) and [Michael Bulmer][41] (a2) __

    * **(a1)**

A Department of Physics, University of Queensland, Brisbane QLD 4072, Australia

    * **(a2)**

B Department of Mathematics, University of Queensland, Brisbane QLD 4072, Australia

*     * <https://doi.org/10.1071/AS04043>
    * Published online:  05 March 2013
    * [NASA ADS Abstract Service][42]

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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Random Numbers from Astronomical Imaging

        * Volume 22, [Issue 1][19]
        * [Kevin A. Pimbblet][40] (a1) and [Michael Bulmer][41] (a2)
        * DOI: <https://doi.org/10.1071/AS04043>

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Random Numbers from Astronomical Imaging

        * Volume 22, [Issue 1][19]
        * [Kevin A. Pimbblet][40] (a1) and [Michael Bulmer][41] (a2)
        * DOI: <https://doi.org/10.1071/AS04043>

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Random Numbers from Astronomical Imaging

        * Volume 22, [Issue 1][19]
        * [Kevin A. Pimbblet][40] (a1) and [Michael Bulmer][41] (a2)
        * DOI: <https://doi.org/10.1071/AS04043>

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Copyright

COPYRIGHT: © Astronomical Society of Australia 2005 

Corresponding author

C Corresponding author. Email: pimbblet@physics.uq.edu.au

References

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

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

Rukhin A., et al. 2001, A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications (Gaithersburg, MD: NIST) (csrc.nist.gov/rng/SP800-22b.pdf)

Tu S., & Fischbach E. 2003, PhRvE, 67, 016113

Vavriv D. D. 2003, Proc. Experimental Chaos (Melville, NY: AIP) 676, 373

von Neumann J. 1963, Various Techniques Used in Connection with Random Digits, von Neumann's Collected Works, Vol. 5 (Oxford: Pergamon)

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