Daniel Angles-Alcazar
Assistant Professor/Physics

Are you Daniel Angles-Alcazar?

How to update your information.
Scholarly Contributions

144 Scholarly Contributions

126
Journal Articles
13
Conference Proceedings
2
Book Chapters
1
Technology
1
Poster/Presentation
1
Other Scholarly Work
HaloGraphNet: Predict halo masses from simulations
2023
Pablo Villanueva-Domingo, David N. Spergel, Lars Hernquist, Romeel Dave, Shy Genel, Francisco Villaescusa-Navarro, Desika Narayanan, Mark Vogelsberger, Federico Marinacci, Daniel Angles-Alcazar
Research Type: Technology

Percent-level constraints on baryonic feedback with spectral distortion measurements
2022
Francisco Villaescusa-Navarro, Lars Hernquist, Leander Thiele, Federico Marinacci, Mark Vogelsberger, Nicholas Battaglia, Digvijay Wadekar, Jens Chluba, J. Colin Hill
Research Type: Journal Article

Black hole-galaxy scaling relations in FIRE: the importance of black hole location and mergers
2022
Robert Feldmann, Philip F. Hopkins
Research Type: Journal Article

Breaking baryon-cosmology degeneracy with the electron density power spectrum
2022
Jo Dunkley, Benjamin D. Wandelt, Francisco Villaescusa-Navarro, Rachel S. Somerville, Daisuke Nagai, Lars Hernquist, David N. Spergel, Shy Genel, Andrina Nicola
Research Type: Journal Article

Cosmology with One Galaxy?
2022
Yin Li, Jupiter Ding, Pablo Lemos, Francisco Villaescusa-Navarro, Mark Vogelsberger, Daisuke Nagai, Caroline Heneka, Shy Genel, Stephanie Tonnesen, David N. Spergel, Valentina La Torre, Romain Teyssier
Research Type: Journal Article

Finding Universal Relations in Subhalo Properties with Artificial Intelligence
2022
Shy Genel, Lars Hernquist, Gabriella Contardo, Helen Shao, Francisco Villaescusa-Navarro, David N. Spergel, Mark Vogelsberger, Desika Narayanan
Research Type: Journal Article

Galaxies lacking dark matter produced by close encounters in a cosmological simulation
2022
Robert Feldmann, Alexandres Lazar, Coral Wheeler, Philip F. Hopkins, Michael Boylan-Kolchin, Fangzhou Jiang, Francisco J. Mercado, Zachary Hafen, Andrew Wetzel, Cameron B. Hummels, Shany Danieli, Eliot Quataert, Alexander Gurvich, James S. Bullock, Jorge Moreno, Courtney Klein, Sijie Yu
Research Type: Journal Article

Neural Networks as Optimal Estimators to Marginalize Over Baryonic Effects
2022
David N. Spergel, Francisco Villaescusa-Navarro, Shirley Ho, Benjamin D. Wandelt, Shy Genel
Research Type: Journal Article

From EMBER to FIRE: predicting high resolution baryon fields from dark matter simulations with deep learning
2022
J. Stadel, J. Bullock, R. Feldmann, M. Boylan-Kolchin, L. Mayer, M. Bernardini
Research Type: Journal Article

Inferring Halo Masses with Graph Neural Networks
2022
Daniel Angles-Alcazar, Francisco Villaescusa-Navarro, Shy Genel, Romeel Dave, Federico Marinacci, Lars Hernquist, Pablo Villanueva-Domingo, David N. Spergel, Desika Narayanan, Mark Vogelsberger
Research Type: Journal Article

Supermassive black holes in cosmological simulations - II: the AGN population and predictions for upcoming X-ray missions
2022
James Aird, Yetli Rosas-Guevara, Dylan Nelson, Lars Hernquist, Rachel S. Somerville, Shy Genel, Yuan Li, Stuart McAlpine, Yohan Dubois, Mark Vogelsberger, Eduardo Banados, Iskren Y. Georgiev
Research Type: Journal Article

Hot-mode accretion and the physics of thin-disc galaxy formation
2022
James Bullock, Michael Boylan-Kolchin, Cameron Trapp, Jonathan Stern, Eliot Quataert, Kareem El-Badry, Philip F. Hopkins, Tjitske Starkenburg, Sijie Yu, Daniel Angles-Alcazar, Drummond B. Fielding, Robert Feldmann, Andrew Wetzel, Alexander B. Gurvich, Jorge Moreno, Zachary Hafen
Research Type: Journal Article

IQ Collaboratory. III. The Empirical Dust Attenuation Framework-Taking Hydrodynamical Simulations with a Grain of Dust
2022
Kartheik G. Iyer, Ariyeh H. Maller, Rachel S. Somerville, Tjitske K. Starkenburg, ChangHoon Hahn, Claire Dickey, Jeremy L. Tinker, Ena Choi
Research Type: Journal Article

Inpainting Hydrodynamical Maps with Deep Learning
2022
Mark Vogelsberger, Francisco Villaescusa-Navarro, Faizan G. Mohammad, Shy Genel, Daniel Angles-Alcazar
Research Type: Journal Article

Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite
2022
Daniel Angles-Alcazar
Research Type: Journal Article

The CAMELS Multifield Data Set: Learning the Universe's Fundamental Parameters with Artificial Intelligence
2022
Benjamin Wandelt, Helen Shao, Michael Eickenberg, Gabriella Contardo, Francisco Villaescusa-Navarro, Jose Manuel Zorrilla Matilla, Lucia A. Perez, Digvijay Wadekar, Andrina Nicola, Sultan Hassan, Faizan G. Mohammad, Mark Vogelsberger, David N. Spergel, Shy Genel, Erwin T. Lau, Nicholas Battaglia, Daisuke Nagai, Yongseok Jo, Leander Thiele, Desika Narayanan, Romeel Dave, Yin Li, Emily Moser, Pablo Villanueva-Domingo, Rachel S. Somerville
Research Type: Journal Article

Reionization with SIMBA: How Much Does Astrophysics Matter in Modeling Cosmic Reionization?
2022
Matthew McQuinn, Laura C. Keating, Francisco Villaescusa-Navarro, Rachel S. Somerville, Sultan Hassan, David N. Spergel, Daniel Angles-Alcazar
Research Type: Journal Article

A unified model for the co-evolution of galaxies and their circumgalactic medium: the relative roles of turbulence and atomic cooling physics
2022
Rachel S. Somerville, Viraj Pandya, Christopher Carr, Zachary Hafen, Drummond B. Fielding, Daniel Angles-Alcazar, Claude-Andre Faucher-Giguere, Greg L. Bryan, Jonathan Stern
Research Type: Journal Article

Dust Temperature Uncertainties Hamper the Inference of Dust and Molecular Gas Masses from the Dust Continuum Emission of Quiescent High-redshift Galaxies
2022
Daniel Angles-Alcazar
Research Type: Journal Article

Running late: testing delayed supermassive black hole growth models against the quasar luminosity function
2022
Sarah Wellons, Megan Taylor Tillman, Luke Zoltan Kelley
Research Type: Journal Article