Daniel Angles-Alcazar
Assistant Professor/Physics

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Neutral CGM as damped Ly \ensuremathα absorbers at high redshift
2021
Philip F. Hopkins, Zachary Hafen, Drummond Fielding, Jonathan Stern, Eliot Quataert, Kareem El-Badry, Andrew Wetzel, Amiel Sternberg
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

Multifield Cosmology with Artificial Intelligence
2021
Shy Genel, Jose Manuel Zorrilla Matilla, Desika Narayanan, Mark Vogelsberger, Francisco Villaescusa-Navarro, Benjamin Wandelt, Leander Thiele, Yin Li, Andrina Nicola, Romeel Dave, David N. Spergel, Sultan Hassan
Research Type: Journal Article

Modeling the evolution of galaxies and massive black holes across cosmic time
2014
Research Type: Other Scholarly Work

Modeling the Co-Evolution of Black-Holes and Galaxies Across Cosmic Time
Research Type: Conference Proceedings

Metal flows of the circumgalactic medium, and the metal budget in galactic haloes
2017
Xiangcheng Ma, Norman Murray, Paul Torrey, Eliot Quataert, Philip F. Hopkins, Alexander L. Muratov, Zachary H. Hafen, Daniel Angles-Alcazar
Research Type: Journal Article

Mergers, starbursts, and quenching in the SIMBA simulation
2019
Vivienne Wild, Desika Narayanan, Daniel Angles-Alcazar
Research Type: Journal Article

Measuring dynamical masses from gas kinematics in simulated high-redshift galaxies
2020
Daniel Angles-Alcazar, Sarah Wellons, Philip F. Hopkins, Christopher C. Hayward, Robert Feldmann
Research Type: Journal Article

Massive black holes in galactic nuclei: Theory and Simulations
2023
Research Type: Book Chapter

Massive Black Holes in Galactic Nuclei: Theory
2023
Tiziana Di Matteo, Francesco Shankar, Daniel Angles-Alcazar
Research Type: Book Chapter

Low-redshift Lyman limit systems as diagnostics of cosmological inflows and outflows
2017
Eliot Quataert, Zachary Hafen, Philip F. Hopkins, Norman Murray, Robert Feldmann, Daniel Angles-Alcazar
Research Type: Journal Article

Local positive feedback in the overall negative: the impact of quasar winds on star formation in the FIRE cosmological simulations
Daniel Angles-Alcazar, Jonathan Mercedes Feliz
Research Type: Conference Proceedings

Large-scale dual AGN in large-scale cosmological hydrodynamical simulations
2025
Adi Foord, Tiziana Di Matteo, Michael Koss, Romeel Davé, Yueying Ni, Nianyi Chen, Daniel Anglés-Alcázar, Clara Puerto-Sánchez, Yohan Dubois, Marta Volonteri, Paloma Guetzoyan, Yetli Rosas-Guevara, Mélanie Habouzit
Research Type: Journal Article

https://dx.doi.org/10.1093/mnras/stae2763
Jet feedback and the photon underproduction crisis in SIMBA
2020
Daniele Sorini, Jacob F. Christiansen, Daniel Angles-Alcazar
Research Type: Journal Article

Investigating black hole accretion and feedback cycles in Seyfert galaxies using the FIRE-3 cosmological hydrodynamic simulations
2024
Jonathan Mercedes Feliz, Jose Cevallos, Daniel Angles-Alcazar
Research Type: Conference Proceedings

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

Inferring warm dark matter masses with deep learning
2024
Mikhail V. Medvedev, Francisco Villaescusa-Navarro, Stephanie O'Neil, Mark Vogelsberger, Jonah C. Rose, Daniel Angles-Alcazar, Rakshak Adhikari, Ryan Low, Paul Torrey
Research Type: Journal Article

Inferring the impact of feedback on the matter distribution using the Sunyaev Zel'dovich effect: insights from CAMELS simulations and ACT + DES data
2023
Eric J. Baxter, Kai Lehman, Shy Genel, Yueying Ni, Tiziana di Matteo, Shivam Pandey, Francisco Villaescusa-Navarro, Ana Maria Delgado, Daniel Angles-Alcazar
Research Type: Journal Article

Inferring the impact of feedback on the matter distribution using the Sunyaev Zel'dovich effect: Insights from CAMELS simulations and ACT+DES data
2023
Research Type: Journal Article

Inferring Warm Dark Matter Masses with Deep Learning
2023
Research Type: Journal Article