papers

Publications (7)

astro-ph.GA2023

Galaxy interactions are the dominant trigger for local type 2 quasars

J. C. S. Pierce, C. Tadhunter, C. Ramos Almeida +8

The triggering mechanism for the most luminous, quasar-like active galactic nuclei (AGN) remains a source of debate, with some studies favouring triggering via galaxy mergers, but…

astro-ph.GA2025

Galaxy And Mass Assembly: A new approach to quantifying dust in galaxies

B. Farley, U. T. Ahmed, A. M. Hopkins +8

We introduce a new approach to quantifying dust in galaxies by combining information from the Balmer decrement (BD) and the dust mass (). While there is no explicit correlatio…

astro-ph.GA2021

Do AGN triggering mechanisms vary with radio power? II. The importance of mergers as a function of radio power and optical luminosity

J. C. S. Pierce, C. N. Tadhunter, Y. Gordon +7

Investigation of the triggering mechanisms of radio AGN is important for improving our general understanding of galaxy evolution. In the first paper in this series, detailed morpho…

astro-ph.IM2024

Classification of compact radio sources in the Galactic plane with supervised machine learning

S. Riggi, G. Umana, C. Trigilio +13

Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surveys with the Square Kilometre Array (SKA) and it…

math.FA2010

The GL-l.u.st.\ constant and asymmetry of the Kalton-Peck twisted sum in finite dimensions

Y. Gordon, M. Junge, M. Meyer +1

We prove that the Kalton-Peck twisted sum of -dimensional Hilbert spaces has GL-l.u.st.\ constant of order and bounded GL constant. This is the first concrete e…

astro-ph.GA2025

EMU/GAMA: A new approach to characterising radio luminosity functions

J. Prathap, A. M. Hopkins, J. Afonso +16

This study characterises the radio luminosity functions (RLFs) for SFGs and AGN using statistical redshift estimation in the absence of comprehensive spectroscopic data. Sensitive…

astro-ph.GA2023

Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88

We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…