Parameter inference, ie inferring the posterior distribution of the parameters of a statistical
model given some data, is a central problem to many scientific disciplines. Posterior …

The outskirts of galaxies have been studied from multiple perspectives for the past few
decades. However, it is still unknown if all galaxies have clear-cut edges similar to everyday …

We show that a denoising diffusion probabilistic model (DDPM), a class of score-based
generative model, can be used to produce realistic mock images that mimic observations of …

We present an automated non-parametric light profile extraction pipeline called autoprof. All
steps for extracting surface brightness (SB) profiles are included in autoprof, allowing …

Inferring accurate posteriors for high-dimensional representations of the brightness of
gravitationally-lensed sources is a major challenge, in part due to the difficulties of …

We present a catalogue of dynamical properties for 2368 late-type galaxies from the MaNGA
survey. The latter complements the catalogue of photometric properties for the same sample …

Size is a fundamental parameter for measuring the growth of galaxies and the role of the
environment on their evolution. However, the conventional size definitions used for this …

We present a comprehensive examination of the three latest versions of the l-galaxies semi-
analytic galaxy formation model, focusing on the evolution of galaxy properties across a …

Using a sample of 67 galaxies from the MeerKAT International GigaHertz Tiered
Extragalactic Exploration Survey Early Science data, we study the H i-based baryonic Tully …

Supermassive black holes (SMBHs) are tiny in comparison to the galaxies they inhabit, yet
they manage to influence and coevolve along with their hosts. Evidence of this mutual …