activity
20232026
most citedConstraining gas metal mixing strength in simulations using observations of the Milky Way's disc

4 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

astro-ph.GA2026

The NIVARIA-Local Group simulations: Unveiling the origin of rotation curve diversity in dwarf galaxies and its connection to galaxy morphology

A. Contreras-Santos, A. Di Cintio, A. Negri +7

Dwarf galaxies exhibit a large diversity in rotation curve shapes, challenging galaxy formation models within the CDM paradigm. We present NIVARIA-LG, a new suite of cosmologica…

astro-ph.GA2026

Dark matter haloes from dwarf to massive galaxies: no systematic inner-density tension with ΛCDM hydrodynamical simulations

Pavel E. Mancera Piña, Justin I. Read, Jorge Sarrato-Alós +1

Two of the most prominent small-scale challenges to the cold dark matter (CDM) paradigm are the cusp-core and diversity-of-rotation-curves problems. The former concerns the shallow…

astro-ph.GA2026

Dark matter density profiles of the Milky Way satellite population: reconciling simulations and observations

Jorge Sarrato-Alós, José María Arroyo-Polonio

The cusp-core problem remains a key challenge for the CDM model. Historically, comparing inner dark matter halo slopes () from simulations and observations has s…

astro-ph.GA2026

The Impact of Star Formation Histories on the Inner Dark Matter Density Slopes of Galaxies

Jorge Sarrato-Alós, James Bullock, Arianna Di Cintio +3

Aims. We aim to investigate the connection between star formation histories (SFHs) and the inner dark matter density profiles of simulated galaxies. In particular, we test whether…

astro-ph.GA2025

Beyond single tracers: CNN-based inference of galaxy mass profiles from combined gas and stellar kinematics

Julen Expósito-Márquez, Arianna Di Cintio, Chris Brook +2

We investigate whether combining gas and stellar kinematic maps provides measurable advantages in recovering galaxy mass profiles, compared to using single-component maps alone. Wh…

astro-ph.GA2025★ 3 cited

Galaxy mass profiles with convolutional neural networks

Jorge Sarrato-Alós, Christopher Brook, Arianna Di Cintio +3

Determining the dynamical mass profiles of dispersion-supported galaxies is particularly challenging due to projection effects and the unknown shape of their velocity anisotropy pr…

astro-ph.GA2023★ 4 cited

Constraining gas metal mixing strength in simulations using observations of the Milky Way's disc

Jorge Sarrato-Alós, Christopher Brook, Arianna Di Cintio

This work explores the mixing rate of metals in the interstellar medium (ISM), comparing observational constraints from our solar neighbourhood to high resolution cosmological hydr…