Papers › The thesan project: public data release of radiation-hydrodynamic simulations matching...
The thesan project: public data release of radiation-hydrodynamic simulations matching reionization-era JWST observations
Enrico Garaldi, Rahul Kannan, Aaron Smith, Josh Borrow, Mark Vogelsberger, Rüdiger Pakmor, Volker Springel, Lars Hernquist, Daniela Galárraga-Espinosa, Jessica Y. -C. Yeh, Xuejian Shen, Clara Xu, Meredith Neyer, Benedetta Spina, Mouza Almualla, Yu Zhao
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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 https://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.
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