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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

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5 papers · 1 filter

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…

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…