Robust Field-level Likelihood-free Inference with Galaxies

التفاصيل البيبلوغرافية
العنوان: Robust Field-level Likelihood-free Inference with Galaxies
المؤلفون: de Santi, Natalí S. M., Shao, Helen, Villaescusa-Navarro, Francisco, Abramo, L. Raul, Teyssier, Romain, Villanueva-Domingo, Pablo, Ni, Yueying, Anglés-Alcázar, Daniel, Genel, Shy, Hernandez-Martinez, Elena, Steinwandel, Ulrich P., Lovell, Christopher C., Dolag, Klaus, Castro, Tiago, Vogelsberger, Mark
المصدر: Volume 952, Number 1, Year 2023, Pages 69
سنة النشر: 2023
المجموعة: Computer Science
Astrophysics
مصطلحات موضوعية: Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Computer Science - Machine Learning
الوصف: 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. Our models are rotational, translational, and permutation invariant and do not impose any cut on scale. From galaxy catalogs that only contain $3$D positions and radial velocities of $\sim 1, 000$ galaxies in tiny $(25~h^{-1}{\rm Mpc})^3$ volumes our models can infer the value of $\Omega_{\rm m}$ with approximately $12$ % precision. More importantly, by testing the models on galaxy catalogs from thousands of hydrodynamic simulations, each having a different efficiency of supernova and AGN feedback, run with five different codes and subgrid models - IllustrisTNG, SIMBA, Astrid, Magneticum, SWIFT-EAGLE -, we find that our models are robust to changes in astrophysics, subgrid physics, and subhalo/galaxy finder. Furthermore, we test our models on $1,024$ simulations that cover a vast region in parameter space - variations in $5$ cosmological and $23$ astrophysical parameters - finding that the model extrapolates really well. Our results indicate that the key to building a robust model is the use of both galaxy positions and velocities, suggesting that the network have likely learned an underlying physical relation that does not depend on galaxy formation and is valid on scales larger than $\sim10~h^{-1}{\rm kpc}$.
Comment: 34 pages, 12 figures. For a video summarizing the results, see https://youtu.be/b59ep7cyPOs
نوع الوثيقة: Working Paper
DOI: 10.3847/1538-4357/acd1e2
URL الوصول: http://arxiv.org/abs/2302.14101
رقم الأكسشن: edsarx.2302.14101
قاعدة البيانات: arXiv
الوصف
DOI:10.3847/1538-4357/acd1e2