activity
20212026
most citedMultivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport

5 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

math.NA2026

A Dynamical Low-rank Multilevel Monte Carlo Estimator for High-Dimensional Kinetic Equations

Chinmay Patwardhan, Sebastian Krumscheid, Jonas Kusch +2

Kinetic equations are used to model a wide range of phenomena important for real-world applications. Their applications span astrophysics, nuclear physics, engineering, and social…

math.NA2025

A high-order deterministic dynamical low-rank method for proton transport in heterogeneous media

Pia Stammer, Niklas Wahl, Jonas Kusch +1

Dose calculations in proton therapy require the fast and accurate solution of a high-dimensional transport equation for a large number of (pencil) beams with different energies and…

math.NA2025

A Deterministic Dynamical Low-rank Approach for Charged Particle Transport

Pia Stammer, Tiberiu Burlacu, Niklas Wahl +2

Deterministically solving charged particle transport problems at a sufficient spatial and angular resolution is often prohibitively expensive, especially due to their highly forwar…

math.NA2025

Low-rank variance reduction for uncertain radiative transfer with control variates

Chinmay Patwardhan, Pia Stammer, Emil Løvbak +2

The radiative transfer equation models various physical processes ranging from plasma simulations to radiation therapy. In practice, these phenomena are often subject to uncertaint…

physics.med-ph2022

KiT-RT: An extendable framework for radiative transfer and therapy

Jonas Kusch, Steffen Schotthöfer, Pia Stammer +2

In this paper we present KiT-RT (Kinetic Transport Solver for Radiation Therapy), an open-source C++ based framework for solving kinetic equations in radiation therapy applications…

physics.med-ph2022★ 5 cited

Multivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport

Pia Stammer, Lucas Burigo, Oliver Jäkel +2

Fast and accurate predictions of uncertainties in the computed dose are crucial for the determination of robust treatment plans in radiation therapy. This requires the solution of…

math.NA2021

A robust collision source method for rank adaptive dynamical low-rank approximation in radiation therapy

Jonas Kusch, Pia Stammer

Deterministic models for radiation transport describe the density of radiation particles moving through a background material. In radiation therapy applications, the phase space of…

physics.med-ph2021

Efficient uncertainty quantification for Monte Carlo dose calculations using importance (re-)weighting

Pia Stammer, Lucas Burigo, Oliver Jäkel +2

The high precision and conformity of intensity-modulated particle therapy (IMPT) comes at the cost of susceptibility to treatment uncertainties in particle range and patient set-up…