2011
DOI: 10.1111/j.1365-2966.2011.18887.x
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10C survey of radio sources at 15.7 GHz - I. Observing, mapping and source extraction★

Abstract: We have observed an area of ≈27 deg2 to an rms noise level of 0.2 mJy at 15.7 GHz, using the Arcminute Microkelvin Imager Large Array. These observations constitute the most sensitive radio‐source survey of any extent (≳0.2 deg2) above 1.4 GHz. This paper presents the techniques employed for observing, mapping and source extraction. We have used a systematic procedure for extracting information and producing source catalogues, from maps with varying noise and uv‐coverage. We have performed simulations to test … Show more

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Cited by 46 publications
(6 citation statements)
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“…At the central operating frequency of 15.7 GHz, AMI has a primary beam of 5.5 arcmin and a ≈ 30 arcsec resolution (Zwart et al 2008). During each AMI observation a bright unresolved source within a few degrees of the target of interest is visited for 1 minute in every 11 minutes to provide phase and amplitude calibration (for further details on the absolute flux calibration of AMI see Franzen et al 2011).…”
Section: Ami Strategy and Observationsmentioning
confidence: 99%
“…At the central operating frequency of 15.7 GHz, AMI has a primary beam of 5.5 arcmin and a ≈ 30 arcsec resolution (Zwart et al 2008). During each AMI observation a bright unresolved source within a few degrees of the target of interest is visited for 1 minute in every 11 minutes to provide phase and amplitude calibration (for further details on the absolute flux calibration of AMI see Franzen et al 2011).…”
Section: Ami Strategy and Observationsmentioning
confidence: 99%
“…However, several recent surveys have allowed for huge advances in the understanding of the radio sky at greater than 10 GHz (e.g. 10C at 15.7 GHz, Franzen et al 2011;AT20G at 20 GHz, Murphy et al 2010 and the AT20-deep (pilot) also at 20 GHz, Massardi et al 2011;Franzen et al 2014). Consequently, only a few of the brightest BCGs have well-characterized radio-spectra in this crucial spectral range.…”
mentioning
confidence: 99%
“…We extracted source components from the two AT-LAS fields using BLOBCAT , AEGEAN , pyBDSM 3 and the AMI SOURCE FIND software (AMI Consortium: Franzen et al 2011). When using BLOBCAT, AEGEAN and pyBDSM, we searched both mosaics down to an SNR 4 in order to include all sources with fitted peak SNRs 5.…”
Section: Source Extractionmentioning
confidence: 99%