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Validating the clustering predictions of empirical models with the FLAMINGO simulations
Sergio Contreras, Raul E. Angulo, Jonás Chaves-Montero +3
Context. Mock galaxy catalogues are essential for correctly interpreting current and future generations of galaxy surveys. Despite their significance in galaxy formation and cosmol…
Active galactic nuclei and gravitational redshifts
N. D. Padilla, S. Carneiro, J. Chaves-Montero +4
Context: Gravitational redshift is a classical effect of Einstein's General Relativity, already measured in stars, quasars and clusters of galaxies. Aims: We here aim to identify t…
The miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties
Natália V. N. Rodrigues, L. Raul Abramo, Carolina Queiroz +23
Astrophysical surveys rely heavily on the classification of sources as stars, galaxies or quasars from multi-band photometry. Surveys in narrow-band filters allow for greater discr…
The miniJPAS survey: AGN & host galaxy co-evolution of X-ray selected sources
I. E. López, M. Brusa, S. Bonoli +35
Studies indicate strong evidence of a scaling relation in the local Universe between the supermassive black hole mass ($M_\rm{BH}$) and the stellar mass of their host galaxies ($M_…
Tracking the evolution of satellite galaxies: mass stripping and dark-matter deficient galaxies
Antonio D. Montero-Dorta, Facundo Rodriguez, M. Celeste Artale +2
Satellite galaxies undergo a variety of physical processes when they are accreted by groups and clusters, often resulting in the loss of baryonic and dark matter (DM) mass. In this…
Diffstar: A Fully Parametric Physical Model for Galaxy Assembly History
Alex Alarcon, Andrew P. Hearin, Matthew R. Becker +1
We present Diffstar, a smooth parametric model for the in-situ star formation history (SFH) of galaxies. Diffstar is distinct from conventional SFH models that are used to interpre…
The miniJPAS survey quasar selection I: Mock catalogues for classification
Carolina Queiroz, L. Raul Abramo, Natália V. N. Rodrigues +27
In this series of papers, we employ several machine learning (ML) methods to classify the point-like sources from the miniJPAS catalogue, and identify quasar candidates. Since no r…
DSPS: Differentiable Stellar Population Synthesis
Andrew P. Hearin, Jonás Chaves-Montero, Alex Alarcon +2
Models of stellar population synthesis (SPS) are the fundamental tool that relates the physical properties of a galaxy to its spectral energy distribution (SED). In this paper, we…
Black hole virial masses from single-epoch photometry: the miniJPAS test case
Jonás Chaves-Montero, Silvia Bonoli, Benny Trakhtenbrot +25
Precise measurements of black hole masses are essential to understanding the coevolution of these sources and their host galaxies. We develop a novel approach for computing black h…
On the influence of halo mass accretion history on galaxy properties and assembly bias
Antonio D. Montero-Dorta, Jonás Chaves-Montero, M. Celeste Artale +1
Halo assembly bias is the secondary dependence of the clustering of dark-matter haloes on their assembly histories at fixed halo mass. This established dependence is expected to ma…
Surrogate modelling the Baryonic Universe II: on forward modelling the colours of individual and populations of galaxies
Jonas Chaves-Montero, Andrew Hearin
Among the properties shaping the light of a galaxy, the star formation history (SFH) is one of the most challenging to model due to the variety of correlated physical processes reg…