Finding Universal Relations in Subhalo Properties with Artificial Intelligence

@article{Shao2022FindingUR,
  title={Finding Universal Relations in Subhalo Properties with Artificial Intelligence},
  author={Helen Shao and Francisco Villaescusa-Navarro and Shy Genel and David N. Spergel and Daniel Angl{\'e}s-Alc{\'a}zar and Lars E. Hernquist and Romeel Dav{\'e} and Desika Narayanan and Gabriella Contardo and Mark Vogelsberger},
  journal={The Astrophysical Journal},
  year={2022},
  volume={927}
}
We use a generic formalism designed to search for relations in high-dimensional spaces to determine if the total mass of a subhalo can be predicted from other internal properties such as velocity dispersion, radius, or star formation rate. We train neural networks using data from the Cosmology and Astrophysics with MachinE Learning Simulations project and show that the model can predict the total mass of a subhalo with high accuracy: more than 99% of the subhalos have a predicted mass within 0… 

Cosmology with One Galaxy?

Galaxies can be characterized by many internal properties such as stellar mass, gas metallicity, and star formation rate. We quantify the amount of cosmological and astrophysical information that the

Inferring Halo Masses with Graph Neural Networks

TLDR
This work builds a model that infers the mass of a halo given the positions, velocities, stellar masses, and radii of the galaxies it hosts, using Graph Neural Networks (GNNs), which are designed to work with irregular and sparse data.

Automated discovery of interpretable gravitational-wave population models

TLDR
It is demonstrated symbolic regression can complement GW population models by distilling the posterior predictive distribution of such Gaussian Mixture Models into interpretable analytic expressions, and a new empirical population model which combines accuracy and simplicity is recovered.

Percent-level constraints on baryonic feedback with spectral distortion measurements

High-significance measurements of the monopole thermal Sunyaev-Zel’dovich CMB spectral distortions have the potential to tightly constrain poorly understood baryonic feedback processes. The

References

SHOWING 1-10 OF 24 REFERENCES

Populating a cluster of galaxies - I. Results at z=0

ABSTRA C T We simulate the assembly of a massive rich cluster and the formation of its constituent galaxies in a flat, low-density universe. Our most accurate model follows the collapse, the star

The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations

We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project. CAMELS is a suite of 4233 cosmological simulations of 25h−1Mpc3 volume each: 2184 state-of-the-art

First results from the IllustrisTNG simulations: matter and galaxy clustering

Hydrodynamical simulations of galaxy formation have now reached sufficient volume to make precision predictions for clustering on cosmologically relevant scales. Here we use our new IllustrisTNG

First results from the IllustrisTNG simulations: a tale of two elements - chemical evolution of magnesium and europium

The distribution of elements in galaxies provides a wealth of information about their production sites and their subsequent mixing into the interstellar medium. Here we investigate the distribution

First results from the IllustrisTNG simulations: radio haloes and magnetic fields

We introduce the IllustrisTNG project, a new suite of cosmological magnetohydrodynamical simulations performed with the moving-mesh code AREPO employing an updated Illustris galaxy formation model.

Simulating galaxy formation with black hole driven thermal and kinetic feedback

The inefficiency of star formation in massive elliptical galaxies is widely believed to be caused by the interactions of an active galactic nucleus (AGN) with the surrounding gas. Achieving a

HInet: Generating Neutral Hydrogen from Dark Matter with Neural Networks

Upcoming 21 cm surveys will map the spatial distribution of cosmic neutral hydrogen (Hi) over very large cosmological volumes. In order to maximize the scientific return of these surveys, accurate

Global Relationships Among the Physical Properties of Stellar Systems

The kappa-space three-dimensional parameter system was originally defined for the physical properties of dynamically hot galaxies. Here we define self-consistent kappa-parameters for disk galaxies,

Dynamically hot galaxies. I - Structural properties

Results are reported from an analysis of the structural properties of dynamically hot galaxies which combines central velocity dispersion, effective surface brightness, and effective radius into a

First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies

The IllustrisTNG project is a new suite of cosmological magneto-hydrodynamical simulations of galaxy formation performed with the Arepo code and updated models for feedback physics. Here we introduce