2017
DOI: 10.1007/s11207-017-1193-1
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4D Data Cubes from Radio-Interferometric Spectroscopic Snapshot Imaging

Abstract: The new generation of low radio-frequency interferometric arrays have enabled the imaging of the solar corona at high spectro-temporal resolutions and sensitivity. In this article we introduce and implement a formalism to generate flux density and brightness temperature ($T_{\mathrm B}$) maps from such images, using independently obtained disc-integrated solar flux density dynamic spectra. These images collectively generate a 4D data cube, with axes spanning angular coordinates ($\theta,\phi$), frequency ($\nu… Show more

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Cited by 42 publications
(47 citation statements)
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“…Please note that only our synthetic results are illustrated in Figure 3. Our results show a good first order agreement with the observations illustrated in Figure 6 of Mohan & Oberoi (2017). The synthetic image constructed based on our simulation results has captured the most intense feature at the center of the solar disk, as shown in their Figure 6.…”
Section: The Low Frequency Regimesupporting
confidence: 84%
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“…Please note that only our synthetic results are illustrated in Figure 3. Our results show a good first order agreement with the observations illustrated in Figure 6 of Mohan & Oberoi (2017). The synthetic image constructed based on our simulation results has captured the most intense feature at the center of the solar disk, as shown in their Figure 6.…”
Section: The Low Frequency Regimesupporting
confidence: 84%
“…Solar radio observations have been available for a number of years in different frequencies for quiet full sun (Takano et al 1997;Oberoi et al 2011;Mohan & Oberoi 2017) and flaring conditions (e.g. Kundu et al 2009;Kochanov et al 2013;Chen et al 2015).…”
Section: Observational Test At High Frequencymentioning
confidence: 99%
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“…A testament to this argument is the important results that have come out of data obtained with SKA's "precusor" and "pathfinder" projects: the LOFAR (e.g Morosan et al, 2014Morosan et al, , 2015Morosan et al, , 2017Reid & Kontar, 2017;Kontar et al, 2017b;Chen et al, 2018), the MWA (e.g. Oberoi et al, 2011;Mohan & Oberoi, 2017;McCauley et al, 2017;Suresh et al, 2017;Cairns et al, 2018;Sharma et al, 2018), the VLA (Spangler & Whiting, 2009;Chen et al, 2013;Kooi et al, 2014;Chen et al, 2015), and the LWA (Tun Beltran et al, 2015). This paper is organized as follows.…”
Section: Introductionmentioning
confidence: 99%