Enrico Garaldi
Project Assistant Professor
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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
Renyue Cen
Princeton University
Yu Zhao
University of Southern California
Aaron Smith
Assistant Professor
University of Texas at Dallas
Mark Vogelsberger
Massachusetts Institute of Technology
Matteo Viel
Full Professor
SISSA
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