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The performance and calibration of the CRAFT fly’s eye fast radio burst survey

  • C. W. James (a1) (a2), K. W. Bannister (a3), J.-P. Macquart (a1) (a2), R. D. Ekers (a1) (a3), S. Oslowski (a4), R. M. Shannon (a1) (a2) (a4), J. R. Allison (a5), A. P. Chippendale (a3), J. D. Collier (a3) (a6), T. Franzen (a7), A. W. Hotan (a7), M. Leach (a3), D. McConnell (a3), M. A. Pilawa (a3), M. A. Voronkov (a3) and M. T. Whiting (a3)...

Abstract

The Commensal Real-time Australian Square Kilometre Array Pathfinder Fast Transients survey is the first extensive astronomical survey using phased array feeds. Since January 2017, it has been searching for fast radio bursts in fly’s eye mode. Here, we present a calculation of the sensitivity and total exposure of the survey that detected the first 20 of these bursts, using the pulsars B1641-45 and B0833-45 as calibrators. The beamshape, antenna-dependent system noise, and the effects of radio-frequency interference and fluctuations during commissioning are quantified. Effective survey exposures and sensitivities are calculated as a function of the source counts distribution. Statistical ‘stat’ and systematics ‘sys’ effects are treated separately. The implied fast radio burst rate is significantly lower than the 37 sky−1 day−1 calculated using nominal exposures and sensitivities for this same sample by Shannon et al. (2018). At the Euclidean (best-fit) power-law index of −1.5 (−2.2), the rate is $12.7_{-2.2}^{+3.3}$ (sys) ± 3.6 (stat) sky−1 day−1 ( $20.7_{-1.7}^{+2.1}$ (sys) ± 2.8 (stat) sky−1 day−1) above a threshold of 56.6 ± 6.6(sys) Jy ms (40.4 ± 1.2(sys) Jy ms). This strongly suggests that these calculations be performed for other FRB-hunting experiments, allowing meaningful comparisons to be made between them.

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Corresponding author

Author for correspondence: C. W. James, Email: clancy.james@curtin.edu.au

References

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Amiri, M., et al. 2017, ApJ, 844, 161
Bailes, M., et al. 2017, PASA, 34, e045
Bannister, K. W., et al. 2017, ApJ, 841, L12
Bhandari, S., et al. 2018, MNRAS, 475, 1427
Burke-Spolaor, S., & Bannister, K.W. 2014, ApJ, 792, 19
Cairns, I. H., Johnston, S., & Das, P. 2001, ApJ, 563, L65
Cairns, I. H., Johnston, S., & Das, P. 2004, MNRAS, 353, 270
Caleb, M., et al. 2017, MNRAS, 468, 3746
Champion, D. J., et al. 2016, MNRAS, 460, L30
Chippendale, A. P., et al. 2015, in 2015 International Conference on Electromagnetics in Advanced Applications (ICEAA), 541544, doi:10.1109/ICEAA.2015.7297174
DeBoer, D. R., et al. 2009, IEEE Proc., 97, 1507
Foster, G., et al. 2018, MNRAS, 474, 3847
Hay, S. G., & O’sullivan, J. D. 2008, Radio Sci., 43, RS6S04
Hotan, A. W., et al. 2014, PASA, 31, e041
Huchra, J. P., & Geller, M. J. 1982, ApJ, 257, 423
James, C. W., Ekers, R. D., Macquart, J.-P., Bannister, K. W., & Shannon, R. M. 2018, Preprint, arXiv:1810.04357
Johnston, S. 2004, MNRAS, 348, 1229
Johnston, S., van Straten, W., Kramer, M., & Bailes, M. 2001, ApJ, 549, L101
Johnston, S., et al. 2008, ExA, 22, 151
Jones, E., et al. 2001, SciPy: open source scientific tools for Python, http://www.scipy.org/
Keane, E. F., & Petroff, E. 2015, MNRAS, 447, 2852
Law, C. J., et al. 2018, Astrophys. J. Suppl. Ser., 236, 8
Lawrence, E., VanderWiel, S., Law, C., Burke Spolaor, S., & Bower, G. C. 2017, AJ, 154, 117
Lorimer, D. R., Bailes, M., McLaughlin, M. A., Narkevic, D. J., & Crawford, F. 2007, Sci, 318, 777
Macquart, J.-P., & Ekers, R. D. 2018, MNRAS, 474, 1900
Macquart, J.-P., & Johnston, S. 2015, MNRAS, 451, 3278
Macquart, J.-P., et al. 2010, PASA, 27, 272
Manchester, R. N., Hobbs, G. B., Teoh, A., & Hobbs, M. 2005, AJ, 129, 1993
McConnell, D. 2017, ACES memo series 015, Observing with ASKAP: optimisation for survey speed. CSIRO
McConnell, D., et al. 2016, PASA, 33, e042
McConnell, D., Bannister, K., & Hotan, A. 2017, ACES memo series 005, ASKAP antenna aperture efficiency estimation. CSIRO
Petroff, E., et al. 2014, ApJ, 789, L26
Scheuer, P. A. G., & Williams, P. J. S. 1968, ARA&A, 6, 321
Schinckel, A. E. T., & Bock, D. C.-J. 2016, in Ground-Based and Airborne Telescopes VI, 99062A, doi: 10.1117/12.2233920
Schinckel, A. E., Bunton, J. D., Cornwell, T. J., Feain, I., & Hay, S. G. 2012, in Ground-Based and Airborne Telescopes IV, 84442A, doi: 10.1117/12.926959
Scott, P. F., & Ryle, M. 1977, MNRAS, 178, 539
Shannon, R. M., et al. 2018, Nature, 562, 386
Spitler, L. G., et al. 2014, ApJ, 790, 101
Spitler, L. G., et al. 2016, Nature, 531, 202
Tendulkar, S. P., et al. 2017, ApJ, 834, L7
Thornton, D., et al. 2013, Sci, 341, 53
Vedantham, H. K., Ravi, V., Hallinan, G., & Shannon, R. M. 2016, ApJ, 830, 75
Zackay, B., & Ofek, E. O. 2017, ApJ, 835, 11
van Straten, W., & Bailes, M. 2011, PASA, 28, 1

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