Computational Cosmology

The Computational Cosmology group at the University of Valencia conducts advanced numerical simulations to study the formation and evolution of galaxies and the large-scale structure (LSS) of the Universe. These simulations serve as virtual laboratories, providing a complementary perspective to astronomical observations and allowing the exploration of astrophysical scenarios that cannot be reproduced in traditional experiments. The group has developed a suite of state-of-the-art numerical codes, widely used in cosmological research, including MASCLET (for hydrodynamic and N-body simulations), ASOHF (a halo finder), and tools for analyzing cosmic shock waves, turbulence, and magnetic fields.

Their research focuses on several key areas:

Cosmological shock waves

Shock waves, generated during the hierarchical formation of cosmic structures, play a crucial role in energy redistribution and the thermalization of baryonic matter. These waves are responsible for converting gravitational energy into thermal energy and contribute to magnetic field amplification and cosmic ray acceleration. Despite their significance, detecting them observationally remains challenging, making numerical simulations essential for understanding their properties, distribution, and impact on galaxy clusters and the intergalactic medium.

Turbulence in the ICM

Turbulence is a fundamental process influencing the dynamics and thermodynamics of galaxy clusters. It arises from a variety of mechanisms, including matter accretion, galaxy motions, and feedback from active galactic nuclei (AGNs). Understanding turbulence is key to addressing issues such as non-thermal pressure contributions, hydrostatic mass biases, and gas mixing processes. Future observational facilities will allow for better characterization of turbulent motions through techniques like the kinetic Sunyaev-Zel’dovich (kSZ) effect, but numerical simulations remain crucial for interpreting these data and predicting observational signatures.

Cosmological magnetic fields

Magnetic fields are an essential component of the intergalactic medium, but their origin and amplification mechanisms are still not fully understood. Observations indicate that galaxy clusters host magnetic fields of ~0.1–10 μG, yet the transition from primordial weak fields to their present-day strengths is unclear. The group investigates the role of turbulence-driven dynamos in amplifying these fields and aims to create high-resolution magnetohydrodynamic (MHD) simulations that can be directly compared with future radio observations from instruments like the Square Kilometer Array (SKA).

Cosmic voids

Representing about 95% of the Universe’s volume, cosmic voids provide a pristine environment for studying galaxy formation and the evolution of LSS. Unlike dense regions, voids experience fewer astrophysical interactions, making them ideal for testing cosmological models. However, characterizing void galaxies observationally is challenging due to their low density and faint nature. Through high-resolution simulations, the group seeks to analyze the statistical properties of voids, the formation of galaxies within them, and the nature of gas accretion flows in these underdense regions.

Galaxy formation and evolution

One of the central challenges in modern astrophysics is understanding how galaxies form and evolve over cosmic time. This process involves both large-scale gravitational effects and small-scale baryonic physics, such as gas cooling, star formation, and feedback from supernovae and AGNs. Additionally, the role of supermassive black holes in shaping galaxy properties remains an open question. The group investigates the environmental effects on galaxy evolution, as well as the formation of rare galaxy types like ultra-diffuse galaxies (UDGs) and tidal dwarf galaxies. Their goal is to generate statistically significant galaxy catalogs from cosmological simulations and compare their properties with observational data.

By integrating advanced numerical techniques with cutting-edge theoretical models, the Computational Cosmology group aims to provide insights into some of the most pressing questions in modern cosmology. Their research not only enhances our understanding of the Universe’s evolution but also supports the interpretation of data from current and future observational facilities.

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