activity
20162022
most citedSymplectic integration with non-canonical quadrature for guiding-center orbits in magnetic confinement devices

34 citations · 108 across the 8 of their papers we have counts for

collaborators

9 papers

astro-ph.HE2022★ 6 cited

An Exploration of X-ray Supernova Remnants in the Milky Way and Nearby Galaxies

Chris Albert, Vikram V Dwarkadas

We probe the environmental properties of X-ray supernova remnants (SNRs) at various points along their evolutionary journey, especially the S-T phase, and their conformance with th…

physics.comp-ph2020★ 21 cited

Symplectic Gaussian Process Regression of Hamiltonian Flow Maps

Katharina Rath, Christopher G. Albert, Bernd Bischl +1

We present an approach to construct appropriate and efficient emulators for Hamiltonian flow maps. Intended future applications are long-term tracing of fast charged particles in a…

physics.comp-ph2020

2D Fourier finite element formulation for magnetostatics in curvilinear coordinates with a symmetry direction

Christopher G. Albert, Oszkár Bíró, Patrick Lainer

We present a numerical method for the solution of linear magnetostatic problems in domains with a symmetry direction, including axial and translational symmetry. The approach uses…

physics.plasm-ph2020★ 6 cited

Quasi-geometric integration of guiding-center orbits in piecewise linear toroidal fields

M. Eder, C. G. Albert, L. M. P. Bauer +2

A numerical integration method for guiding-center orbits of charged particles in toroidal fusion devices with three-dimensional field geometry is described. Here, high order interp…

physics.data-an2019

Gaussian processes for data fulfilling linear differential equations

Christopher G. Albert

A method to reconstruct fields, source strengths and physical parameters based on Gaussian process regression is presented for the case where data are known to fulfill a given line…

physics.class-ph2019★ 3 cited

Physics-informed transfer path analysis with parameter estimation using Gaussian processes

Christopher Albert

Gaussian processes regression is applied to augment experimental data of transfer-path analysis (TPA) by known information about the underlying physical properties of the system un…