Enrico Garaldi

Project Assistant Professor

Kavli Institute for the Physics and Mathematics of the Universe
Country flagJapan

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About

Enrico Garaldi is a Project Assistant Professor at the Kavli Institute for the Physics and Mathematics of the Universe in Japan. His research primarily focuses on the dynamics of galaxy formation and evolution during the reionization epoch, evidenced by his recent contributions to topics such as the galaxy-IGM connection and primordial magnetic fields. He actively engages in projects like THE THESAN project, which investigates the expansion and merger histories of ionized bubbles and their environments during this critical period in cosmic history.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Cosmological simulations serve as invaluable tools for understanding the Universe. However, the technical complexity and substantial computational resources required to generate such simulations often limit their accessibility within the broader research community. Notable exceptions exist, but most are not suited for simultaneously studying the physics of galaxy formation and cosmic reionization during the first billion years of cosmic history. This is especially relevant now that a fleet of advanced observatories (e.g. James Webb Space Telescope, Nancy Grace Roman Space Telescope, SPHEREx, ELT, SKA) will soon provide an holistic picture of this defining epoch. To bridge this gap, we publicly release all simulation outputs and post-processing products generated within the thesan simulation project at www.thesan-project.com. This project focuses on the z ≥ 5.5 Universe, combining a radiation-hydrodynamics solver (arepo-rt), a well-tested galaxy formation model (IllustrisTNG) and cosmic dust physics to provide a comprehensive view of the Epoch of Reionization. The thesan suite includes 16 distinct simulations, each varying in volume, resolution, and underlying physical models. This paper outlines the unique features of these new simulations, the production and detailed format of the wide range of derived data products, and the process for data retrieval. Finally, as a case study, we compare our simulation data with a number of recent observations from the James Webb Space Telescope, affirming the accuracy and applicability of thesan. The examples also serve as prototypes for how to utilise the released dataset to perform comparisons between predictions and observations.

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Collaborators (6)

Rahul Kannan

York University

CANADA
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Renyue Cen

Princeton University

UNITED STATES
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Yu Zhao

University of Southern California

UNITED STATES
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Aaron Smith

Assistant Professor

University of Texas at Dallas

UNITED STATES
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Mark Vogelsberger

Massachusetts Institute of Technology

UNITED STATES
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Matteo Viel

Full Professor

SISSA

ITALY
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