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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…
Consistent and simultaneous modelling of galaxy clustering and galaxy-galaxy lensing with Subhalo Abundance Matching
Sergio Contreras, Raul E. Angulo, Jonás Chaves-Montero +2
The spatial distribution of galaxies and their gravitational lensing signal offer complementary tests of galaxy formation physics and cosmology. However, their synergy can only be…
The galaxy formation origin of the lensing is low problem
Jonas Chaves-Montero, Raul E. Angulo, Sergio Contreras
Recent analyses show that CDM-based models optimised to reproduce the clustering of massive galaxies overestimate their gravitational lensing by about 30\%, the so-called lensin…
The cosmology dependence of the concentration-mass-redshift relation
Daniel López-Cano, Raúl E. Angulo, Aaron D. Ludlow +4
The concentrations of dark matter haloes provide crucial information about their internal structure and how it depends on mass and redshift -- the so-called concentration-mass-reds…
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…
Relativistic Angular Redshift Fluctuations embedded in Large Scale Varying Gravitational Potentials
Adal Lima-Hernández, Carlos Hernández-Monteagudo, Jonás Chaves-Montero
We compute the linear order, general relativistic corrections to angular redshift fluctuations (ARF), a new cosmological observable built upon density-weighted two-dimensional (2D)…
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…