Modeling the Galaxy Clustering with AI

Translating Observations into Fundamental Physics

Explore how observed signal in surveys such as HETDEX impact our understanding of the universe's structure and evolution.

🖥️ Galaxy Clustering Simulations

What do we model?

We use a fast surrogate model trained on a limited set of high-resolution simulations to accurately predict galaxy clustering for emission line galaxies observed by surveys like HETDEX and DESI. This work is based on ongoing research by Qezlou et al. (in preparation).

  • Efficiency: Enables rapid predictions compared to full simulations.
  • Parameter sensitivity: Explores how galaxy clustering depends on a 10-dimensional cosmological parameter space.
  • Simulation power: Leverages the detailed GOKU simulation suite to resolve faint, low-mass galaxies that are otherwise hard to model. (arXiv:2501.06296)

🌌 Emission Line Galaxy Surveys, e.g. HETDEX

Mapping the universe with emission line galaxies:

Emission line galaxies are far more numerous than their continuum-emitting counterparts, making them ideal tracers of the cosmic web. Large-scale surveys like HETDEX produce detailed maps of the universe's structure and help us probe:

  • The nature of dark energy and the accelerating expansion of the universe
  • How tiny fluctuations in the early universe grew into galaxies and clusters
  • The role of elusive particles like neutrinos in shaping cosmic evolution
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How Physics Shapes What We Observe
See how each fundamental parameter — like matter density, dark energy, or neutrino mass — changes galaxy clustering patterns