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Found 26 papers, 5 papers with code
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
In particular, de Santi et al. (2023) developed models that could accurately infer the value of $\Omega_{\rm m}$ from catalogs that only contain the positions and radial velocities of galaxies that are robust to uncertainties in astrophysics and subgrid models.
Robust Field-level Likelihood-free Inference with Galaxies
We train graph neural networks to perform field-level likelihood-free inference using galaxy catalogs from state-of-the-art hydrodynamic simulations of the CAMELS project.
The CAMELS project: public data release
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning.
Weighing the Milky Way and Andromeda with Artificial Intelligence
We present new constraints on the masses of the halos hosting the Milky Way and Andromeda galaxies derived using graph neural networks.
Inferring halo masses with Graph Neural Networks
Furthermore, a GNN trained on a suite of simulations is able to preserve part of its accuracy when tested on simulations run with a different code that utilizes a distinct subgrid physics model, showing the robustness of our method.
Ranked #1 on
Graph Learning
on CAMELS
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of cosmic gas, dark matter, and stars from 2, 000 distinct simulated universes at several cosmic times.
Robust marginalization of baryonic effects for cosmological inference at the field level
We train neural networks to perform likelihood-free inference from $(25\, h^{-1}{\rm Mpc})^2$ 2D maps containing the total mass surface density from thousands of hydrodynamic simulations of the CAMELS project.
Multifield Cosmology with Artificial Intelligence
Although our maps only cover a small area of $(25~h^{-1}{\rm Mpc})^2$, and the different fields are contaminated by astrophysical effects in very different ways, our networks can infer the values of $\Omega_{\rm m}$ and $\sigma_8$ with a few percent level precision for most of the fields.
Hot and counter-rotating star-forming disk galaxies in IllustrisTNG and their real-world counterparts
A key feature of a large population of low-mass, late-type disk galaxies are star-forming disks with exponential light distributions.
Astrophysics of Galaxies
Is there enough star formation in simulated protoclusters?
Using a combination of state-of-the-art hydrodynamical simulations and empirical models, we show that current galaxy-formation models do not produce enough star formation in protoclusters to match observations.
Astrophysics of Galaxies
Submillimetre galaxies in cosmological hydrodynamical simulations -- an opportunity for constraining feedback models
The simulation from the original Illustris project yields more SMGs than IllustrisTNG: the predicted counts are consistent with those observed at both $S_{850} \lesssim 5$ mJy and $S_{850} \gtrsim 9$ mJy and only a factor of $\sim 2$ lower than observed at intermediate flux densities.
Astrophysics of Galaxies
Joint galaxy-galaxy lensing and clustering constraints on galaxy formation
We compare predictions for galaxy-galaxy lensing profiles and clustering from the Henriques et al. (2015) public version of the Munich semi-analytical model of galaxy formation (SAM) and the IllustrisTNG suite, primarily TNG300, with observations from KiDS+GAMA and SDSS-DR7 using four different selection functions for the lenses (stellar mass, stellar mass and group membership, stellar mass and isolation criteria, stellar mass and colour).
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
The IllustrisTNG Simulations: Public Data Release
IllustrisTNG is a suite of large volume, cosmological, gravo-magnetohydrodynamical simulations run with the moving-mesh code Arepo.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Gravitational Lensing and the Power Spectrum of Dark Matter Substructure: Insights from the ETHOS N-body Simulations
Comparing the amplitude and slope of the power spectrum on scales $0. 1 \lesssim k/$kpc$^{-1} \lesssim 10$ from lenses at different redshifts can help us distinguish between cold dark matter and other exotic dark matter scenarios that alter the abundance and central densities of subhalos.
Cosmology and Nongalactic Astrophysics High Energy Physics - Phenomenology
Supermassive black holes and their feedback effects in the IllustrisTNG simulation
We show that the quenching of massive central galaxies happens coincidently with kinetic-mode feedback, consistent with the notion that active supermassive black cause the low specific star formation rates observed in massive galaxies.
Astrophysics of Galaxies High Energy Astrophysical Phenomena
First results from the IllustrisTNG simulations: the galaxy color bimodality
We find a striking improvement with respect to the original Illustris simulation, as well as excellent quantitative agreement in comparison to the observations, with a sharp transition in median color from blue to red at a characteristic M* ~ 10^10. 5 Msun.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
First results from the IllustrisTNG simulations: radio haloes and magnetic fields
Using two simple models for the energy distribution of relativistic electrons we predict the diffuse radio emission of $280$ clusters with a baryonic mass resolution of $1. 1\times 10^{7}\,{\rm M_{\odot}}$, and generate mock observations for VLA, LOFAR, ASKAP and SKA.
Cosmology and Nongalactic Astrophysics
First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies
Total halo mass is a very good predictor of stellar mass, and vice versa: at $z=0$, the 3D stellar mass measured within 30 kpc scales as $\propto (M_{\rm 500c})^{0. 49}$ with a $\sim 0. 12$ dex scatter.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
First results from the IllustrisTNG simulations: matter and galaxy clustering
The two-point correlation function of the simulated galaxies agrees well with SDSS at its mean redshift z ~ 0. 1, both as a function of stellar mass and when split according to galaxy colour, apart from a mild excess in the clustering of red galaxies in the stellar mass range 10^9-10^10 Msun/h^2.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
First results from the IllustrisTNG simulations: A tale of two elements -- chemical evolution of magnesium and europium
To this end we use the magnesium to iron ratio as a proxy for the effects of our SNII and SNIa metal return prescription, and a means to compare our simulated abundances to a wide variety of galactic observations.
Astrophysics of Galaxies
Simulating Galaxy Formation with the IllustrisTNG Model
The overall framework builds upon the successes of the Illustris galaxy formation model, and includes prescriptions for star formation, stellar evolution, chemical enrichment, primordial and metal-line cooling of the gas, stellar feedback with galactic outflows, and black hole formation, growth and multi-mode feedback.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
The Mass Profile of the Milky Way to the Virial Radius from the Illustris Simulation
We use particle data from the Illustris simulation, combined with individual kinematic constraints on the mass of the Milky Way (MW) at specific distances from the Galactic center, to infer the radial distribution of the MW's dark matter halo mass.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
The Illustris simulation: the evolving population of black holes across cosmic time
We find that the black hole mass density for redshifts z = 0 - 5 and the black hole mass function at z = 0 predicted by Illustris are in very good agreement with the most recent observational constraints.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
Introducing the Illustris Project: the evolution of galaxy populations across cosmic time
In particular, we discuss (a) the buildup of galactic mass, showing stellar mass functions and the relations between stellar mass and halo mass from z=7 to z=0, (b) galaxy number density profiles around massive central galaxies out to z=4, (c) the gas and total baryon content of both galaxies and their halos for different redshifts, and as a function of mass and radius, and (d) the evolution of galaxy specific star-formation rates up to z=8.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
Properties of galaxies reproduced by a hydrodynamic simulation
Previous simulations of the growth of cosmic structures have broadly reproduced the 'cosmic web' of galaxies that we see in the Universe, but failed to create a mixed population of elliptical and spiral galaxies due to numerical inaccuracies and incomplete physical models.
Cosmology and Nongalactic Astrophysics
A model for cosmological simulations of galaxy formation physics
This is required to simultaneously reproduce the stellar mass content of low mass haloes and their gas oxygen abundances.
Cosmology and Nongalactic Astrophysics
