The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations-Reference-Cited by-同舟云学术

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

Published:2021-07-01 Issue:1 Volume:915 Page:71
ISSN:0004-637X
Container-title:The Astrophysical Journal
language:
Short-container-title:ApJ

Author:

Villaescusa-Navarro Francisco^ORCID,Anglés-Alcázar Daniel,Genel Shy,Spergel David N.^ORCID,S. Somerville Rachel,Dave Romeel^ORCID,Pillepich Annalisa^ORCID,Hernquist Lars^ORCID,Nelson Dylan^ORCID,Torrey Paul^ORCID,Narayanan Desika^ORCID,Li Yin,Philcox Oliver^ORCID,La Torre Valentina,Maria Delgado Ana,Ho Shirley,Hassan Sultan^ORCID,Burkhart Blakesley^ORCID,Wadekar Digvijay^ORCID,Battaglia Nicholas,Contardo Gabriella,Bryan Greg L.^ORCID

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://iopscience.iop.org/article/10.3847/1538-4357/abf7ba/pdf

Reference125 articles.

1. THE IMPACT OF STELLAR FEEDBACK ON THE STRUCTURE, SIZE, AND MORPHOLOGY OF GALAXIES IN MILKY-WAY-SIZED DARK MATTER HALOS

2. New interpretable statistics for large-scale structure analysis and generation

3. Nuisance hardened data compression for fast likelihood-free inference

4. Gravitational torque-driven black hole growth and feedback in cosmological simulations

5. The cosmic baryon cycle and galaxy mass assembly in the FIRE simulations

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1. Perturbation-theory informed integrators for cosmological simulations;Journal of Computational Physics;2024-09

2. Improving convolutional neural networks for cosmological fields with random permutation;Physical Review D;2024-08-29

3. Supervised, semisupervised, and unsupervised learning of the Domany-Kinzel model;Physical Review E;2024-08-02

4. Debiasing with Diffusion: Probabilistic Reconstruction of Dark Matter Fields from Galaxies with CAMELS;The Astrophysical Journal;2024-07-30

5. Can We Constrain Warm Dark Matter Masses with Individual Galaxies?;The Astrophysical Journal;2024-07-29