JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies: II. SCUBA-2 850 μm data reduction and dust flux density catalogues

Monthly Notices of the Royal Astronomical Society Oxford University Press 486:3 (2019) 4166-4185

Authors:

MWL Smith, CJR Clark, I De Looze, I Lamperti, A Saintonge, CD Wilson, G Accurso, E Brinks, Martin Bureau, EJ Chung, PJ Cigan, DL Clements, T Dharmawardena, L Fanciullo, Y Gao, Y Gao, WK Gear, HL Gomez, J Greenslade, HS Hwang, F Kemper, JC Lee, C Li, L Lin, L Liu, DC Molnár, A Mok, H-A Pan, M Sargent, P Scicluna, CMA Smith, S Urquhart, TG Williams, T Xiao, C Yang, M Zhu

Abstract:

We present the SCUBA-2 850μm component of JINGLE, the new JCMT large survey for dust and gas in nearby galaxies, which with 193 galaxies is the largest targeted survey of nearby galaxies at 850 μm. We provide details of our SCUBA-2 data reduction pipeline, optimized for slightly extended sources, and including a calibration model adjusted to match conventions used in other far-infrared (FIR) data. We measure total integrated fluxes for the entire JINGLE sample in 10 infrared/submillimetre bands, including all WISE, Herschel-PACS, Herschel-SPIRE, and SCUBA-2 850 μm maps, statistically accounting for the contamination by CO(J = 3–2) in the 850 μm band. Of our initial sample of 193 galaxies, 191 are detected at 250 μm with a ≥5σ significance. In the SCUBA-2 850 μm band we detect 126 galaxies with ≥3σ significance. The distribution of the JINGLE galaxies in FIR/sub-millimetre colour–colour plots reveals that the sample is not well fit by single modified-blackbody models that assume a single dust-emissivity index (β). Instead, our new 850 μm data suggest either that a large fraction of our objects require β < 1.5, or that a model allowing for an excess of sub-mm emission (e.g. a broken dust emissivity law, or a very cold dust component ≲10 K) is required. We provide relations to convert FIR colours to dust temperature and β for JINGLE-like galaxies. For JINGLE the FIR colours correlate more strongly with star-formation rate surface-density rather than the stellar surface-density, suggesting heating of dust is greater due to younger rather than older stellar-populations, consistent with the low proportion of early-type galaxies in the sample.

A detailed radio study of the energetic, nearby, and puzzling GRB 171010A

Monthly Notices of the Royal Astronomical Society Oxford University Press 486:2 (2019) 2721-2729

Authors:

Joe Bright, A Horesh, Aj van der Horst, R Fender, Ge Anderson, Sara Motta, Sb Cenko, Da Green, Y Perrott, D Titterington

Abstract:

We present the results of an intensive multi-epoch radio frequency campaign on the energetic and nearby GRB 171010A with the Karl G. Janksy Very Large Array and Arcminute Microkelvin Imager Large Array. We began observing GRB 171010A a day after its initial detection, and were able to monitor the temporal and spectral evolution of the source over the following weeks. The spectra and their evolution are compared to the canonical theories for broad-band GRB afterglows, with which we find a general agreement. There are, however, a number of features that are challenging to explain with a simple forward shock model, and we discuss possible reasons for these discrepancies. This includes the consideration of the existence of a reverse shock component, potential microphysical parameter evolution, and the effect of scintillation.

LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks

Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 484:3 (2019) 3879-3896

Authors:

CE Petrillo, C Tortora, G Vernardos, LVE Koopmans, G Verdoes Kleijn, M Bilicki, NR Napolitano, S Chatterjee, G Covone, A Dvornik, T Erben, F Getman, B Giblin, C Heymans, JTA de Jong, K Kuijken, P Schneider, H Shan, C Spiniello, AH Wright

Catalog of quasars from the Kilo-Degree Survey Data Release 3⋆⋆⋆

Astronomy & Astrophysics EDP Sciences 624 (2019) a13

Authors:

S Nakoneczny, M Bilicki, A Solarz, A Pollo, N Maddox, C Spiniello, M Brescia, NR Napolitano

Identifying transient and variable sources in radio images

Astronomy and Computing Elsevier 27 (2019) 111-129

Authors:

A Rowlinson, AJ Stewart, JW Broderick, JD Swinbank, RAMJ Wijers, D Carbone, Y Cendes, R Fender, A van der Horst, G Molenaar, B Scheers, T Staley, S Farrell, J-M Grießmeier, M Bell, J Eislöffel, CJ Law, J van Leeuwen, P Zarka