Source Finding in the Era of the SKA (Precursors): <scp>Aegean</scp> 2.0

Hancock, P. J.; Trott, Cathryn M.; Hurley‐Walker, N.

doi:10.1017/pasa.2018.3

Cited by 187 publications

(178 citation statements)

References 32 publications

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“…The ISS and satellites as distant as Alouette-2 appeared well above the side-lobe confusion noise in these channels (about 12 Jy), as shown in Figure 7 and Figure 8, respectively. BANE (part of AegeanTools) (Hancock et al, 2012(Hancock et al, , 2018 was used to perform background noise estimation and the calculation of flux densities (integrated intensities) from these images. The Effective Isotropic Radiated Power (EIRP) power calculated for Alouette-2 was found to be about 11 µW(at a range of 2241 km), which is significantly higher than the power predicted (about 20 pW) for a 1 m diameter sphere using an XFdtd simulation in Tingay et al (2013b).…”

Section: Results Of Dsnrs Analysis For Targeted Objectsmentioning

confidence: 99%

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The development of non-coherent passive radar techniques for space situational awareness with the Murchison Widefield Array

Prabu

Hancock

Zhang

et al. 2020

Publ. Astron. Soc. Aust.

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The number of active and non active satellites in Earth orbit has dramatically increased in recent decades, requiring the development of novel surveillance techniques to monitor and track them. In this paper, we build upon previous non-coherent passive radar space surveillance demonstrations undertaken using the Murchison Widefield Array (MWA). We develop the concept of the Dynamic Signal to Noise Ratio Spectrum (DSNRS) in order to isolate signals of interest (reflections of FM transmissions of objects in orbit) and efficiently differentiate them from direct path reception events. We detect and track Alouette-2, ALOS, UKube-1, the International Space Station, and Duchifat-1 in this manner. We also identified out-of-band transmissions from Duchifat-1 and UKube-1 using these techniques, demonstrating the MWA's capability to look for spurious transmissions from satellites. We identify an offset from the locations predicted by the cataloged orbital parameters for some of the satellites, demonstrating the potential of using MWA for satellite catalog maintenance. These results demonstrate the capability of the MWA for Space Situational Awareness and we describe future work in this area.

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Section: Results Of Dsnrs Analysis For Targeted Objectsmentioning

confidence: 99%

“…The work also used WSCLEAN (Offringa et al, 2014;Offringa & Smirnov, 2017) for making fits images and DS9 8 for visualization purposes. BANE (Hancock et al, 2012(Hancock et al, , 2018 was used for calculating the integrated flux densities and for performing noise estimations.…”

Section: Acknowledgementsmentioning

confidence: 99%

The development of non-coherent passive radar techniques for space situational awareness with the Murchison Widefield Array

Prabu

Hancock

Zhang

et al. 2020

Publ. Astron. Soc. Aust.

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“…To examine the noise properties of the final mosaic we ran BANE (Hancock et al 2018) to produce a rms map. BANE produces an rms map by calculating statistics over a square region of the image, in this case 55 × 55 arcsec or 23 times the geometric mean of the restoring beam, and 14 times the beam in the Dec direction.…”

Section: Image Analysis: Sensitivity and Clean Biasmentioning

confidence: 99%

“…In common source finders (e.g. Aegean, Hancock et al 2012Hancock et al , 2018 the user set threshold is a S/N limit, but with sfind the user sets the fraction of sources which are allowed to be false.…”

Section: Source Extractionmentioning

confidence: 99%

The ATLAS 9.0 GHz survey of the extended Chandra Deep Field South: the faint 9.0 GHz radio population

Huynh

Seymour

Norris

et al. 2019

Monthly Notices of the Royal Astronomical Society

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We present a new image of the 9.0 GHz radio emission from the extended Chandra Deep Field South. A total of 181 hours of integration with the Australia Telescope Compact Array has resulted in a 0.276 square degree image with a median sensitivity of ∼20 µJy/beam rms, for a synthesised beam of 4.0 × 1.3 arcsec. We present a catalogue of the 9.0 GHz radio sources, identifying 70 source components and 55 individual radio galaxies. Source counts derived from this sample are consistent with those reported in the literature. The observed source counts are also generally consistent with the source counts from simulations of the faint radio population. Using the wealth of multiwavelength data available for this region, we classify the faint 9 GHz population and find that 91% are radio loud AGN, 7% are radio quiet AGN and 2% are star forming galaxies. The 9.0 GHz radio sources were matched to 5.5 and 1.4 GHz sources in the literature and we find a significant fraction of flat or inverted spectrum sources, with 36% of the 9 GHz sources having α 9.0GHz 5.5GHz > -0.3 (for S ∝ ν α ). This flat or inverted population is not well reproduced by current simulations of radio source populations.

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“…Candidate counterparts from an untargeted search of the S190814bv localisation region. Non-detections are denoted by 3σ upper-limits based on the local noise measured by BANE(Hancock et al 2018). The angular separation and redshift of the corresponding optical source are shown.…”

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confidence: 99%

An ASKAP Search for a Radio Counterpart to the First High-significance Neutron Star–Black Hole Merger LIGO/Virgo S190814bv

Dobie

Stewart

Murphy

et al. 2019

ApJL

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We present results from a search for a radio transient associated with the LIGO/Virgo source S190814bv, a likely neutron star-black hole (NSBH) merger, with the Australian Square Kilometre Array Pathfinder. We imaged a 30 deg 2 field at ∆T = 2, 9 and 33 days post-merger at a frequency of 944 MHz, comparing them to reference images from the Rapid ASKAP Continuum Survey observed 110 days prior to the event. Each epoch of our observations covers 89% of the LIGO/Virgo localisation region. We conducted an untargeted search for radio transients in this field, resulting in 21 candidates. For one of these, AT2019osy, we performed multi-wavelength follow-up and ultimately ruled out the association with S190814bv. All other candidates are likely unrelated variables, but we cannot conclusively rule them out. We discuss our results in the context of model predictions for radio emission from neutron star-black hole mergers and place constrains on the circum-merger density and inclination angle of the merger. This survey is simultaneously the first large-scale radio follow-up of an NSBH merger, and the most sensitive widefield radio transients search to-date.

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Source Finding in the Era of the SKA (Precursors): Aegean 2.0

Cited by 187 publications

References 32 publications

The development of non-coherent passive radar techniques for space situational awareness with the Murchison Widefield Array

The development of non-coherent passive radar techniques for space situational awareness with the Murchison Widefield Array

The ATLAS 9.0 GHz survey of the extended Chandra Deep Field South: the faint 9.0 GHz radio population

An ASKAP Search for a Radio Counterpart to the First High-significance Neutron Star–Black Hole Merger LIGO/Virgo S190814bv

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