2019
DOI: 10.3847/1538-4357/ab32e7
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Radio Spectra and Sizes of Atacama Large Millimeter/submillimeter Array-identified Submillimeter Galaxies: Evidence of Age-related Spectral Curvature and Cosmic-Ray Diffusion?

Abstract: We analyse the multi-frequency radio spectral properties of 41 6 GHz-detected ALMA-identified, submillimetre galaxies (SMGs), observed at 610 MHz, 1.4 GHz, and 6 GHz with GMRT and the VLA. Combining high-resolution (∼ 0.5 ′′ ) 6 GHz radio and ALMA 870 µm imaging (tracing rest-frame ∼ 20 GHz, and ∼ 250 µm dust continuum), we study the far-infrared/radio correlation via the logarithmic flux ratio q IR , measuring q IR = 2.20 ± 0.06 for our sample. We show that the high-frequency radio sizes of SMGs are ∼ 1.9 ± 0… Show more

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Cited by 28 publications
(63 citation statements)
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References 107 publications
(175 reference statements)
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“…Motivated by the strength of the stacked emission, we estimate the 3 GHz flux density of each of the radiofaint SMGs by extracting the pixel flux density at the position of each source in the VLA map: the 3 GHz maps are calibrated in units of Jy per beam and the pixel value represents the total flux density for an unresolved source at a given position. At the resolution of the VLA imaging we expect that the radio emission from the AS2COSMOS SMGs will be marginally-resolved (intrinsic FWHM ∼ 0.6 ; e.g., Biggs & Ivison 2008;Miettinen et al 2015;Thomson et al 2019) and, as such, our simple flux estimates will systematically underestimate the total flux of each source. To correct for this effect we compare the pixel and total flux densities the 193 AS2COSMOS with counterparts in the VLA / 3 GHz catalogue.…”
Section: Radiomentioning
confidence: 93%
“…Motivated by the strength of the stacked emission, we estimate the 3 GHz flux density of each of the radiofaint SMGs by extracting the pixel flux density at the position of each source in the VLA map: the 3 GHz maps are calibrated in units of Jy per beam and the pixel value represents the total flux density for an unresolved source at a given position. At the resolution of the VLA imaging we expect that the radio emission from the AS2COSMOS SMGs will be marginally-resolved (intrinsic FWHM ∼ 0.6 ; e.g., Biggs & Ivison 2008;Miettinen et al 2015;Thomson et al 2019) and, as such, our simple flux estimates will systematically underestimate the total flux of each source. To correct for this effect we compare the pixel and total flux densities the 193 AS2COSMOS with counterparts in the VLA / 3 GHz catalogue.…”
Section: Radiomentioning
confidence: 93%
“…10). We use these photometric redshifts to k-correct our observed-frame 1.5-GHz flux densities to rest-frame 1.4 GHz, and measure radio luminosity densities L 1.4 GHz via the equation 1of Thomson et al (2019), though with an additional correction A ≡ (1.40/1.51) −α , which accounts for the slight offset in frequency between our observed-frame 1.51-GHz observations and the observed-frame 1.4 GHz, which is the central frequency most commonly associated with L-band radio observations:…”
Section: The Redshift and Luminosity Distributions Of E-merge Dr1 Soumentioning
confidence: 99%
“…Unsurprisingly, we find that lower S/N point sources have a greater tendency to be upscattered in size than higher S/N point sources. Following Bondi et al (2008) and Thomson et al (2019), we parameterize this size 'up-scattering' as a function of S/N by measuring the envelope in size versus S/N below which 99 per cent of the simulated point sources lie. We determine that 1 per cent of point sources scatter above an envelope of log (R P /arcsec) = −1.05log (S/N) − 0.25.…”
Section: The Radio Sizes Of Sfgs and Agn From Z = 1-3mentioning
confidence: 99%
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“…Due to the significant levels of dust obscuration present in these sources, it is not always possible to perform morphological analyses in the optical waveband. Relatively small pilot studies have suggested that such classifications are possible using high resolution radio continuum observations (Biggs & Ivison 2008;Casey et al 2009a,b;Thomson et al 2019). Fortunately, the survey characteristics necessary to find larger samples, in terms of resolution, depth and area covered, are very similar to those required for weak lensing.…”
Section: Introductionmentioning
confidence: 99%