Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-02T20:13:10.118Z Has data issue: false hasContentIssue false

Discovering Radio Transients using ‘Triggered’ and ‘Targeted’ Observations

Published online by Cambridge University Press:  29 August 2019

G. E. Anderson*
Affiliation:
International Centre for Radio Astronomy Research, Curtin University, Perth, Australia email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

As the era of the Square Kilometre Array approaches, astronomers are investigating how to make good use of its facilities for studying radio transients. This talk presented two different methods for radio transient discovery – ‘triggered’ and ‘targeted’ observations – which can be used to supplement the blind survey approach. Both techniques focus on performing radio observations of sky regions in which we expect to find radio transients. ‘Triggered’ observations are obtained by telescopes capable of responding rapidly to transient alerts; they automatically repoint and begin collecting data within minutes of the alert being given. ‘Targeted’ observational techniques involve radio monitoring of specific sources or regions such as nearby, face-on galaxies, globular clusters, and the Galactic Plane. Such observations are sensitive to transient radio jets from black holes accreting at, or above, the Eddington limit, with the additional benefit of providing many potential sources within a single field of view. Both observing strategies illustrate important techniques for radio transient discovery that can be employed by the SKA.

Type
Contributed Papers
Copyright
© International Astronomical Union 2019 

References

Anderson, G. E., 2018, MNRAS, 473, 1512CrossRefGoogle Scholar
Anderson, G. E., 2014, MNRAS, 440, 2059CrossRefGoogle Scholar
Bannister, K. W., 2012, ApJ, 757, 38CrossRefGoogle Scholar
Dessenne, C. A.-C., 1996, MNRAS, 281, 977CrossRefGoogle Scholar
Dunn, R. J. H., 2010, MNRAS, 403, 61CrossRefGoogle Scholar
Fender, R. P., Belloni, T. M., & Gallo, E. 2004, MNRAS, 355, 1105CrossRefGoogle Scholar
Fender, R. P., Anderson, G. E., Osten, R., Staley, T., Rumsey, C., Grainge, K., & Saunders, R. D. E. 2015, MNRAS, 446, L66CrossRefGoogle Scholar
Green, D. A. 1995, Ap&SS, 231, 281Google Scholar
Kaplan, D. L. 2015, ApJ, 814, L25CrossRefGoogle Scholar
Middleton, M. J. 2013, Nature, 493, 187CrossRefGoogle Scholar
Palaniswamy, D. 2014, ApJ, 790, 63CrossRefGoogle Scholar
Staley, T. D. & Fender, R. 2016, arXiv:1606.03735Google Scholar
Stewart, A. J. 2016, MNRAS, 456, 2321CrossRefGoogle Scholar
Tetarenko, A. J. 2017, MNRAS, 469, 3141CrossRefGoogle Scholar