Search Results - "Wang, Bonny Y"

Cosmology from One Galaxy in a Void? by Wang, Bonny Y., Pisani, Alice

“…Understanding galaxy properties may be the key to unlocking some of the most intriguing mysteries of modern cosmology. Recent work relied on machine learning…”
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Machine-learning Cosmology from Void Properties by Wang, Bonny Y., Pisani, Alice, Villaescusa-Navarro, Francisco, Wandelt, Benjamin D.

“…Cosmic voids are the largest and most underdense structures in the Universe. Their properties have been shown to encode precious information about the laws and…”
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Exploring Cosmology and Cosmic Voids Using Graph Neural Networks and Symbolic Regression by Wang, Bonny Y

“…Cosmic voids are the largest and least dense structures in the universe. Their properties have been shown to encode precious information about the laws and…”
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Cosmology from one galaxy in a void? by Wang, Bonny Y, Pisani, Alice

“…Understanding galaxy properties may be the key to unlocking some of the most intriguing mysteries of modern cosmology. Recent work relied on machine learning…”
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Machine-learning cosmology from void properties by Wang, Bonny Y, Pisani, Alice, Villaescusa-Navarro, Francisco, Wandelt, Benjamin D

“…ApJ 955 131 (2023) Cosmic voids are the largest and most underdense structures in the Universe. Their properties have been shown to encode precious information…”
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Introducing the DREAMS Project: DaRk mattEr and Astrophysics with Machine learning and Simulations by Rose, Jonah C, Torrey, Paul, Villaescusa-Navarro, Francisco, Lisanti, Mariangela, Nguyen, Tri, Roy, Sandip, Kollmann, Kassidy E, Vogelsberger, Mark, Cyr-Racine, Francis-Yan, Medvedev, Mikhail V, Genel, Shy, Anglés-Alcázar, Daniel, Kallivayalil, Nitya, Wang, Bonny Y, Costanza, Belén, O'Neil, Stephanie, Roche, Cian, Karmakar, Soumyodipta, Garcia, Alex M, Low, Ryan, Lin, Shurui, Mostow, Olivia, Cruz, Akaxia, Caputo, Andrea, Farahi, Arya, Muñoz, Julian B, Necib, Lina, Teyssier, Romain, Dalcanton, Julianne J, Spergel, David

“…We introduce the DREAMS project, an innovative approach to understanding the astrophysical implications of alternative dark matter models and their effects on…”
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