3 citations · 3 across the 5 of their papers we have counts for
5 papers
JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
Ufuk Çakır, Victor-Alexandru Darvariu, Bruno Lacerda +1
Artificial intelligence methods are increasingly being explored for managing wildfires and other natural hazards. In particular, reinforcement learning (RL) is a promising path tow…
RUBIX: Differentiable forward modelling of galaxy spectral data cubes for gradient-based parameter estimation
Anna Lena Schaible, Ufuk Çakır, Tobias Buck +5
Although integral-field spectroscopy enables spatially resolved spectral studies of galaxies, bridging particle-based simulations to observations remains slow and non-differentiabl…
Fast GPU-Powered and Auto-Differentiable Forward Modeling of IFU Data Cubes
Ufuk Çakır, Anna Lena Schaible, Tobias Buck
We present RUBIX, a fully tested, well-documented, and modular Open Source tool developed in JAX, designed to forward model IFU cubes of galaxies from cosmological hydrodynamical s…
MEGS: Morphological Evaluation of Galactic Structure
Ufuk Çakır, Tobias Buck
Understanding the morphology of galaxies is a critical aspect of astrophysics research, providing insight into the formation, evolution, and physical properties of these vast cosmi…
GAMMA: Galactic Attributes of Mass, Metallicity, and Age Dataset
Ufuk Çakır, Tobias Buck
We introduce the GAMMA (Galactic Attributes of Mass, Metallicity, and Age) dataset, a comprehensive collection of galaxy data tailored for Machine Learning applications. This datas…