1.1k citations · 1.7k across the 10 of their papers we have counts for
10 papers
Classifying galaxies according to their HI content
Sambatra Andrianomena, Mika Rafieferantsoa, Romeel Davé
We use machine learning to classify galaxies according to their HI content, based on both their optical photometry and environmental properties. The data used for our analyses are…
Simba: Cosmological Simulations with Black Hole Growth and Feedback
Romeel Davé, Daniel Anglés-Alcázar, Desika Narayanan +3
We introduce the Simba simulations, the next generation of the Mufasa cosmological galaxy formation simulations run with Gizmo's meshless finite mass hydrodynamics. Simba includes…
Timescales for Hi consumption and SFR depletion of satellite galaxies in groups
Mika Rafieferantsoa, Romeel Davé, Thorsten Naab
We investigate the connection between the HI~content, SFR and environment of galaxies using a hydrodynamic simulation that incorporates scaling relations for galactic wind and a he…
IQ-Collaboratory 1.1: the Star-Forming Sequence of Simulated Central Galaxies
ChangHoon Hahn, Tjitske K. Starkenburg, Ena Choi +12
A tightly correlated star formation rate-stellar mass relation of star forming galaxies, or star-forming sequence (SFS), is a key feature in galaxy property-space that is predicted…
Predicting the Neutral Hydrogen Content of Galaxies From Optical Data Using Machine Learning
Mika Rafieferantsoa, Sambatra Andrianomena, Romeel Davé
We develop a machine learning-based framework to predict the HI content of galaxies using more straightforwardly observable quantities such as optical photometry and environmental…
Mufasa:The strength and evolution of galaxy conformity in various tracers
Mika Rafieferantsoa, Romeel Davé
We investigate galaxy conformity using the Mufasa cosmological hydrodynamical simulation. We show a bimodal distribution in galaxy colour with radius, albeit with too many low-mass…
MUFASA: The assembly of the red sequence
Romeel Davé, Mika H. Rafieferantsoa, Robert J. Thompson
We examine the growth and evolution of quenched galaxies in the Mufasa cosmological hydrodynamic simulations that include an evolving halo mass-based quenching prescription, with g…
Cold gas stripping in satellite galaxies: from pairs to clusters
Toby Brown, Barbara Catinella, Luca Cortese +6
In this paper we investigate environment driven gas depletion in satellite galaxies, taking full advantage of the atomic hydrogen (HI) spectral stacking technique to quantify the g…
MUFASA: Galaxy star formation, gas, and metal properties across cosmic time
Romeel Davé, Mika H. Rafieferantsoa, Robert J. Thompson +1
We examine galaxy star formation rates (SFRs), metallicities, and gas contents predicted by the MUFASA cosmological hydrodynamic simulations, which employ meshless hydrodynamics an…
The impact of environment and mergers on the HI content of galaxies in hydrodynamic simulations
Mika Rafieferantsoa, Romeel Davé, Daniel Anglés-Alcazar +3
We quantitatively examine the effects of accretion and environment on the HI content of galaxies within a cosmological hydrodynamic simulation that reproduces basic observed trends…