Journal: Monthly Notices of the Royal Astronomical Society
Publication
The multiwavelength polarization of Cygnus X-1
Polarization measurements of the microquasar Cygnus X-1 exist at γ-ray, X-ray, ultraviolet, optical and radio frequencies. The γ-ray emission has been shown to...
The MUSE Atlas of Disks (MAD): resolving star formation rates and gas metallicities on <100 pc scales†
We study the physical properties of the ionized gas in local discs using the sample of 38 nearby ˜108.5-11.2 M⊙ Star-Forming Main-Sequence (SFMS) galaxies...
The nature and origin of substructure in the outskirts of M31 - II. Detailed star formation histories
While wide-field surveys of M31 have revealed much substructure at large radii, understanding the nature and origin of this material is not straightforward from...
The nature and structure of the emission line nebula K3-35: a very young planetary nebula with precessing bipolar jet-like outflows?
We present Hα, [NII]6583 and 6-cm continuum images of the emission line nebula K3-35. The optical images reveal an extended nebula (size ~=11x9arcsec^2 in [NII]...
The nature of 500 micron risers - II. Multiplicities and environments of sub-mm faint dusty star-forming galaxies
We present Submillimeter Common User Bolometer Array 2 (SCUBA-2) and Submillimeter Array (SMA) follow-up observations of four candidate high-redshift dusty star...
The nature of 500 micron risers I: SMA observations
We present SMA observations at resolutions from 0.35 to 3 arcsec of a sample of 34 candidate high redshift dusty star forming galaxies (DSFGs). These sources...
The Nature of 500 micron Risers III: a small complete sample
Herschel surveys have found large numbers of sources with red far-IR colours, and spectral energy distributions (SEDs) rising from 250 to 500 µm: 500 risers...
The nature of faint radio galaxies at high redshifts
We present spectra and near-infrared images of a sample of faint radio sources initially selected as promising high-redshift radio galaxy (HzRG) candidates. We...
The nature of giant clumps in high-z discs: a deep-learning comparison of simulations and observations
We use deep learning to explore the nature of observed giant clumps in high-redshift disc galaxies, based on their identification and classification in...