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Fifty Years of Candidate Pulsar Selection - What next?

  • R. J. Lyon (a1)


For fifty years astronomers have been searching for pulsar signals in observational data. Throughout this time the process of choosing detections worthy of investigation, so called ‘candidate selection’, has been effective, yielding thousands of pulsar discoveries. Yet in recent years technological advances have permitted the proliferation of pulsar-like candidates, straining our candidate selection capabilities, and ultimately reducing selection accuracy. To overcome such problems, we now apply ‘intelligent’ machine learning tools. Whilst these have achieved success, candidate volumes continue to increase, and our methods have to evolve to keep pace with the change. This talk considers how to meet this challenge as a community.



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Bishop, C. M., 2006, Pattern Recognition and Machine Learning, Springer.
Clifton, T. R. & Lyne, A. G., 1986, Nature, vol. 320, pp. 4345.
Duin, R. P., 1996, Pattern Recognition Letters, vol. 17 (5), pp. 529536, DOI:10.1016/0167-8655(95)00113-1.
Eatough, R. P., Molkenthin, N., Kramer, M., Noutsos, A., Keith, M. J., Stappers, B. W., & Lyne, A. G., 2010, MNRAS, 407, 2443.
Fawcett, T., 2006, Pattern Recognition Letters, vol.27 (8), pp. 861874, DOI:10.1016/j.patrec.2005.10.010.
Hand, D. J., 2009, Machine Learning, vol.77 (1), pp. 103123, DOI: 10.1007/s10994-009-5119-5.
Hewish, A., Bell, S. J., Pilkington, J. D. H., Scott, P. F., & Collins, R. A., 1968, Nature, vol.217 (5130), pp. 709713.
Janez, D., 2006, “Statistical comparisons of classifiers over multiple data sets”, Journal of Machine learning research, vol.7.
Lyon, R. J., Stappers, B. W., Cooper, S., Brooke, J. M., & Knowles, J. D., 2016, MNRAS, vol.459 (1): 11041123, DOI: 10.1093/mnras/stw656.
Lyon, R. J., 2016, “Why are Pulsars Hard to Find?”, PhD Thesis, University of Manchester.
Lyon, R. J., 2017, “Supporting Material: Fifty Years of Candidate Pulsar Selection - What next?”, DOI: 10.5281/zenodo.883844.
Moore, G. E., 1965, “Cramming more components onto integrated circuits”, Electronics, vol.38(8).
Olson, R. S., La Cava, W., Mustahsan, Z., Varik, A., & Moore, J. H., 2017, ArXiv e-prints, q-bio.QM, arXiv:1708.05070.
Salzberg, S. L., 1997, Data Mining and Knowledge Discovery, vol. 1 (3). DOI: 10.1023/A:1009752403260.
van Heerden, E., Karastergiou, A. & Roberts, S. J., 2016, MNRAS, vol. 467 (2), pp. 16611677, DOI: 10.1093/mnras/stw3068.
Wolpert, D. H., 1996, Neural computation, vol. 8 (7), pp. 13411390.
Wolpert, D. H., 2002, “The Supervised Learning No-Free-Lunch Theorems”, In Soft Computing and Industry, pp. 2542. Springer London.
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