7 citations · 15 across the 3 of their papers we have counts for
3 papers
Inferring Galactic magnetic field model parameters using IMAGINE - An Interstellar MAGnetic field INference Engine
Theo Steininger, Torsten A. Enßlin, Maksim Greiner +7
Context. The Galactic magnetic field (GMF) has a huge impact on the evolution of the Milky Way. Yet currently there exists no standard model for it, as its structure is not fully u…
Field dynamics inference via spectral density estimation
Philipp Frank, Theo Steininger, Torsten A. Enßlin
Stochastic differential equations (SDEs) are of utmost importance in various scientific and industrial areas. They are the natural description of dynamical processes whose precise…
NIFTy 3 - Numerical Information Field Theory - A Python framework for multicomponent signal inference on HPC clusters
Theo Steininger, Jait Dixit, Philipp Frank +10
NIFTy, "Numerical Information Field Theory", is a software framework designed to ease the development and implementation of field inference algorithms. Field equations are formulat…