activity
20222025
most citedA Bayesian estimation of the Milky Way's circular velocity curve using Gaia DR3

21 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2025

Portrait of a Galaxy on FIRE: Is the -bimodality a natural consequence of inside-out disc growth in a hierarchical formation scenario?

María Benito, Annaliina Aavik, Giuseppina Battaglia +7

The chemical dichotomy in the [/Fe]-[Fe/H] plane is a consequence of the complex processes underlying the formation and evolution of disc galaxies such as observed in the stella…

astro-ph.GA2024

On the detection of stellar wakes in the Milky Way: a deep learning approach

Sven Põder, Joosep Pata, María Benito +2

Due to poor observational constraints on the low-mass end of the subhalo mass function, the detection of dark matter (DM) subhalos on sub-galactic scales would provide valuable inf…

astro-ph.IM2024

Dark Matter Halo Parameters from Overheated Exoplanets via Bayesian Hierarchical Inference

María Benito, Konstantin Karchev, Rebecca K. Leane +3

Dark Matter (DM) can become captured, deposit annihilation energy, and hence increase the heat flow in exoplanets and brown dwarfs. Detecting such a DM-induced heating in a populat…

astro-ph.GA2023★ 21 cited

A Bayesian estimation of the Milky Way's circular velocity curve using Gaia DR3

Sven Põder, María Benito, Joosep Pata +5

Our goal is to calculate the circular velocity curve of the Milky Way, along with corresponding uncertainties that quantify various sources of systematic uncertainty in a self-cons…

astro-ph.GA2022★ 5 cited

Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning

Abdullah Bazarov, María Benito, Gert Hütsi +3

The abundance of dark matter (DM) subhalos orbiting a host galaxy is a generic prediction of the cosmological framework, and is a promising way to constrain the nature of DM. In th…