28
Publications
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation
Cosmological Information in the Marked Power Spectrum of the Galaxy Field
E. Massara, F. Villaescusa-Navarro, CH. Hahn, M. M. Abidi, M. Eickenberg, S. Ho, P. Lemos, A. M. Dizgah, B. Régaldo-Saint Blancard
Cosmological Information in the Marked Power Spectrum of the Galaxy Field
Charting Galactic Accelerations with Stellar Streams and Machine Learning
J. Nibauer, V. Belokurov, M. Cranmer, J. Goodman, S. Ho
Charting Galactic Accelerations with Stellar Streams and Machine Learning
The Quijote Simulations
Govind Menon, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, E. Giusarma, Y. Li, Erwan Allys, Antoine Brochard, Cora Uhlemann, Chi-Ting Chiang, S. He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D. Kreisch, Andrina Nicola, Justin Alsing, Roman Scoccimarro, Licia Verde, Matteo Viel, S. Ho, S. Mallat, Benjamin Wandelt, F. Villaescusa-Navarro, D. Spergel
Learning to Predict the Cosmological Structure Formation
S. He, Y. Li, Y. Feng, S. Ho, S. Ravanbakhsh, W. Chen, B. Poczos
Massive Neutrinos Leave Fingerprints on Cosmic Voids
C. D. Kreisch, A. Pisani, C. Carbone, J. Liu, J. Hawken, E. Massara, D. Spergel, B. Wandelt
The Simons Observatory: Science goals and forecasts
Simons Observatory Collaboration
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