6 papers
Hierarchical Bayesian inference with compositional score modeling for stellar streams
Giuseppe Viterbo, Jonas Arruda, Tobias Buck
Context: Stellar streams trace the gravitational potential of the Milky Way over a wide range of Galactocentric radii. Since different streams sample different regions of the Galax…
Amortized Simulation-Based Inference of Colliding-Wind Binaries from Short, Noisy Image Time Series
Niklas Knöll, Tobias Buck, Lorenzo Branca +1
Colliding-wind binaries (CWBs), which are systems of two massive stars whose supersonic winds collide into bow shocks, encode rich information about stellar wind properties in thei…
The dynamical memory of tidal stellar streams: Joint inference of the Galactic potential and the progenitor of GD-1 with flow matching
Giuseppe Viterbo, Tobias Buck
Stellar streams offer one of the most sensitive probes of the Milky Way`s gravitational potential, as their phase-space morphology encodes both the tidal field of the host galaxy a…
Differentiable N-body code for Galactic Dynamics -- Odisseo
Giuseppe Viterbo, Tobias Buck
We introduce \textsc{Odisseo} (Optimized Differentiable Integrator for Stellar Systems Evolution of Orbits), a differentiable N-body code designed to constrain the gravitational po…
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…
CASBI -- Chemical Abundance Simulation-Based Inference for Galactic Archeology
Giuseppe Viterbo, Tobias Buck
Galaxies evolve hierarchically through merging with lower-mass systems and the remnants of destroyed galaxies are a key indicator of the past assembly history of our Galaxy. Howeve…