Cosmology with One Galaxy?

@article{VillaescusaNavarro2022CosmologyWO,
  title={Cosmology with One Galaxy?},
  author={Francisco Villaescusa-Navarro and J. Ding and Shy Genel and Stephanie Tonnesen and Valentina La Torre and David N. Spergel and R. Teyssier and Yin Li and Caroline Heneka and Pablo Lemos and Daniel Angl'es-Alc'azar and Daisuke Nagai and Mark Vogelsberger},
  journal={The Astrophysical Journal},
  year={2022},
  volume={929}
}
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 internal properties of individual galaxies and their host dark matter halos contain. We train neural networks using hundreds of thousands of galaxies from 2000 state-of-the-art hydrodynamic simulations with different cosmologies and astrophysical models of the CAMELS project to perform likelihood… 

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References

SHOWING 1-10 OF 57 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

A Quantification of the Butterfly Effect in Cosmological Simulations and Implications for Galaxy Scaling Relations

We study the chaotic-like behavior of cosmological simulations by quantifying how minute perturbations grow over time and manifest as macroscopic differences in galaxy properties. When we run pairs

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

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

Hydrodynamical simulations and semi-analytic models of galaxy formation: two sides of the same coin

In this work we develop a new method to turn a state-of-the-art hydrodynamical cosmological simulation of galaxy formation (HYD) into a simple semi-analytic model (SAM). This is achieved by

OBSERVATIONAL EVIDENCE FROM SUPERNOVAE FOR AN ACCELERATING UNIVERSE AND A COSMOLOGICAL CONSTANT

We present spectral and photometric observations of 10 Type Ia supernovae (SNe Ia) in the redshift range 0.16 " z " 0.62. The luminosity distances of these objects are determined by methods that

Simulating galaxy formation with the IllustrisTNG model

We introduce an updated physical model to simulate the formation and evolution of galaxies in cosmological, large-scale gravity+magnetohydrodynamical simulations with the moving mesh code AREPO. The

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

Constraining neutrino mass with weak lensing Minkowski Functionals

The presence of massive neutrinos affects structure formation, leaving imprints on large-scale structure observables such as the weak lensing field. The common lensing analyses with two-point

Constraining M ν with the bispectrum. Part II. The information content of the galaxy bispectrum monopole

Massive neutrinos suppress the growth of structure on small scales and leave an imprint on large-scale structure that can be measured to constrain their total mass, M ν. With standard analyses of
...