Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter

4 January 2022

Papers citing "Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter"

4 / 4 papers shown

Title
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence F. Villaescusa-Navarro S. Genel D. Anglés-Alcázar L. Thiele R. Davé ... Luis Fernando Machado Poletti Valle L. A. Perez D. Nagai N. Battaglia M. Vogelsberger 19 47 0 22 Sep 2021
Robust marginalization of baryonic effects for cosmological inference at the field level F. Villaescusa-Navarro S. Genel D. Anglés-Alcázar D. Spergel Yin Li ... Helen Shao Sultan Hassan D. Narayanan R. Davé M. Vogelsberger 20 15 0 21 Sep 2021
Multifield Cosmology with Artificial Intelligence F. Villaescusa-Navarro D. Anglés-Alcázar S. Genel D. Spergel Yin Li ... Sultan Hassan J. Z. Matilla D. Narayanan R. Davé M. Vogelsberger AI4CE 33 20 0 20 Sep 2021
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 183 83 0 12 Sep 2019