5 citations · 10 across the 12 of their papers we have counts for
13 papers
Direct Optimization of a 3D Finite-Source Reflector via Neural-Network Parameterization
Roel Hacking, Lisa Kusch, Martijn Anthonissen +1
We present a direct optimization method for three-dimensional freeform reflectors that transform the light of a finite-étendue source into a prescribed far-field angular intensity…
One-Shot Optimization with Additional Inequality Constraints
Lea Fischer, Nicolas R. Gauger, Lisa Kusch
The one-shot approach is a powerful simultaneous optimization framework for design tasks governed by computationally expensive steady-state systems. While previous formulations mai…
Neural-network methods for two-dimensional finite-source reflector design
Roel Hacking, Lisa Kusch, Koondanibha Mitra +2
We address the inverse problem of designing two-dimensional reflectors that transform light from a finite, extended source into a prescribed far-field distribution. The reflector h…
An inverse design method for generalized zero-étendue sources and two targets
Pieter Braam, Jan ten Thije Boonkkamp, Martijn Anthonissen +3
We present an inverse method to compute freeform optical surfaces that transform a light distribution, parameterized by two source planes, into two separate target distributions. T…
Design of a three-dimensional parallel-to-point imaging system based on inverse methods
Sanjana Verma, Lisa Kusch, Koondanibha Mitra +3
We present an inverse method for designing a three-dimensional imaging system comprising of freeform optical surfaces. We impose an imaging condition on the optical map and combine…
An Inverse Method for the Design of Freeform Double-Reflector Imaging Systems
Sanjana Verma, Lisa Kusch, Martijn J. H. Anthonissen +2
We propose an inverse method to design two-dimensional freeform imaging systems. We present the mathematical model to design a parallel-to-point double-reflector imaging system usi…
Reconstruction of proton relative stopping power with a granular calorimeter detector model
M. Aehle, J. Alme, G. G. Barnaföldi +49
Proton computed tomography (pCT) aims to facilitate precise dose planning for hadron therapy, a promising and effective method for cancer treatment. Hadron therapy utilizes protons…
Inverse methods for freeform optical design
J. H. M. ten Thije Boonkkamp, K. Mitra, M. J. H. Anthonissen +3
We present a systematic derivation of three mathematical models of increasing complexity for optical design, based on Hamilton's characteristic functions and conservation of lumino…
A neural network approach for solving the Monge-Ampère equation with transport boundary condition
Roel Hacking, Lisa Kusch, Koondanibha Mitra +2
This paper introduces a novel neural network-based approach to solving the Monge-Ampère equation with the transport boundary condition, specifically targeted towards optical design…
Performance of the electromagnetic and hadronic prototype segments of the ALICE Forward Calorimeter
M. Aehle, J. Alme, C. Arata +74
We present the performance of a full-length prototype of the ALICE Forward Calorimeter (FoCal). The detector is composed of a silicon-tungsten electromagnetic sampling calorimeter…
Data-driven aerodynamic shape design with distributionally robust optimization approaches
Long Chen, Jan Rottmayer, Lisa Kusch +2
We formulate and solve data-driven aerodynamic shape design problems with distributionally robust optimization (DRO) approaches. Building on the findings of the work \cite{gotoh201…
Progress in End-to-End Optimization of Detectors for Fundamental Physics with Differentiable Programming
Max Aehle, Lorenzo Arsini, R. Belén Barreiro +27
In this article we examine recent developments in the research area concerning the creation of end-to-end models for the complete optimization of measuring instruments. The models…
Exploration of Differentiability in a Proton Computed Tomography Simulation Framework
Max Aehle, Johan Alme, Gergely Gábor Barnaföldi +47
Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulati…