The Size–Mass Relation of Post-starburst Galaxies in the Local Universe
The Astrophysical Journal American Astronomical Society 933:2 (2022) 228
The role of redundancy in blind signal estimation for multiple gravitational wave detectors
World Scientific Publishing (2022) 71-83
The science case and challenges of space-borne sub-millimeter interferometry
Acta Astronautica Elsevier 196 (2022) 314-333
Discovery of optical and infrared accretion disc wind signatures in the black hole candidate MAXI J1348–630
Astronomy & Astrophysics EDP Sciences 664 (2022) A100-A100
Abstract:
MAXI J1348–630 is a low mass X-ray binary discovered in 2019 during a bright outburst. During this event, the system experienced both hard and soft states following the standard evolution. We present multi-epoch optical and near-infrared spectroscopy obtained with X-shooter at the Very Large Telescope. Our dataset includes spectra taken during the brightest phases of the outburst as well as the decay towards quiescence. We study the evolution of the main emission lines, paying special attention to the presence of features commonly associated with accretion disc winds, such as blueshifted absorptions, broad emission line wings and flat-top profiles. We find broad emission line wings in Hα during the hard-to-soft transition and blueshifted absorption troughs at ∼ − 500 km s−1 in Hβ, He I–5876, Hα and Paβ during the bright soft-intermediate state. In addition, flat-top profiles are seen throughout the outburst. We interpret these observables as signatures of a cold (i.e., optical-to-infrared) accretion disc wind present in the system. We discuss the properties of the wind and compare them with those seen in other X-ray transients. In particular, the wind velocity that we observe is low when compared to those of other systems, which might be a direct consequence of the relatively low binary inclination, as suggested by several observables. This study strengthens the hypothesis that cold winds are a common feature in low mass X-ray binaries and that they can also be detected in low inclination objects via high-quality optical and infrared spectroscopyRadio Galaxy Zoo: using semi-supervised learning to leverage large unlabelled data sets for radio galaxy classification under data set shift
Monthly Notices of the Royal Astronomical Society Oxford University Press (OUP) 514:2 (2022) 2599-2613