4 papers
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…
Inferring Galactic Parameters from Chemical Abundances with Simulation-Based Inference
Tobias Buck, Berkay Günes, Giuseppe Viterbo +2
Galactic chemical abundances provide crucial insights into fundamental galactic parameters, such as the high-mass slope of the initial mass function (IMF) and the normalization of…
Learning Locally Adaptive Metrics that Enhance Structural Representation with
Christian Kleiber, William H. Oliver, Tobias Buck
We present , a novel unsupervised machine learning pipeline designed to enhance the representation of structure within data via producing a more-informative dista…
Galaxy Formation and Evolution via Phase-temporal Clustering with FuzzyCat AstroLink
William H. Oliver, Tobias Buck
We demonstrate how the composition of two unsupervised clustering algorithms, and , makes for a powerful tool when studying galaxy formation…