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@ARTICLE{Kusch:275783,
author = {J. Kusch and P. Stammer$^*$},
title = {{A} robust collision source method for rank adaptive
dynamical low-rank approximation in radiation therapy},
journal = {Mathematical modelling and numerical analysis},
volume = {57},
number = {2},
issn = {2822-7840},
address = {Les Ulis},
publisher = {EDP Sciences},
reportid = {DKFZ-2023-00877},
pages = {865 - 891},
year = {2023},
note = {#LA:E040#},
abstract = {Deterministic models for radiation transport describe the
density of radiation particles moving through a background
material. In radiation therapy applications, the phase space
of this density is composed of energy, spatial position and
direction of flight. The resulting six-dimensional phase
space prohibits fine numerical discretizations, which are
essential for the construction of accurate and reliable
treatment plans. In this work, we tackle the high
dimensional phase space through a dynamical low-rank
approximation of the particle density. Dynamical low-rank
approximation (DLRA) evolves the solution on a low-rank
manifold in time. Interpreting the energy variable as a
pseudo-time lets us employ the DLRA framework to represent
the solution of the radiation transport equation on a
low-rank manifold for every energy. Stiff scattering terms
are treated through an efficient implicit energy
discretization and a rank adaptive integrator is chosen to
dynamically adapt the rank in energy. To facilitate the use
of boundary conditions and reduce the overall rank, the
radiation transport equation is split into collided and
uncollided particles through a collision source method.
Uncollided particles are described by a directed quadrature
set guaranteeing low computational costs, whereas collided
particles are represented by a low-rank solution. It can be
shown that the presented method is L-2-stable under a time
step restriction which does not depend on stiff scattering
terms. Moreover, the implicit treatment of scattering does
not require numerical inversions of matrices. Numerical
results for radiation therapy configurations as well as the
line source benchmark underline the efficiency of the
proposed method.},
cin = {E040},
ddc = {510},
cid = {I:(DE-He78)E040-20160331},
pnm = {315 - Bildgebung und Radioonkologie (POF4-315)},
pid = {G:(DE-HGF)POF4-315},
typ = {PUB:(DE-HGF)16},
doi = {10.1051/m2an/2022090},
url = {https://inrepo02.dkfz.de/record/275783},
}