activity
20002026
most citedStatus and Objectives of the Dedicated Accelerator R&D Facility "SINBAD" at DESY

24 citations · 110 across the 14 of their papers we have counts for

collaborators

17 papers

physics.ins-det2026

A high-flux electron detection system to measure non-linear Compton scattering at LUXE

Antonios Athanassiadis, Oleksandr Borysov, Florian Burkart +16

This paper presents the development and testing of a high-flux electron detection system designed to measure the energy spectrum of more than electrons from laser-electron c…

physics.acc-ph2025★ 1 cited

Experimental demonstration of a tomographic 5D phase-space reconstruction

S. Jaster-Merz, R. W. Assmann, J. Beinortaitė +17

Detailed knowledge of particle-beam properties is of great importance to understand and push the performance of existing and next-generation particle accelerators. We recently prop…

physics.ins-det2024

electronCT -- An Imaging Technique Using Very-high Energy Electrons

Paul Schütze, Aenne Abel, Florian Burkart +12

The electronCT technique is an imaging method based on the multiple Coulomb scattering of relativistic electrons and has potential applications in medical and industrial imaging. I…

physics.acc-ph2023

Optimization of the Resolution of a Streaking Setup

F. Mayet, K. Floettmann

In low regimes the inevitable induced energy spread in combination with longitudinal dispersion during the drift through a transverse deflecting structure (TDS) can alter the p…

physics.acc-ph2023

Characterization of relativistic electron bunch duration and travelling wave structure phase velocity based on momentum spectra measurements on the ARES linac at DESY

T. Vinatier, R. W. Assmann, C. Bruni +7

The ARES linac at DESY aims to generate and characterize ultrashort electron bunches (fs to sub-fs duration) with high momentum and arrival time stability for the purpose of applic…

cs.LG2023★ 5 cited

Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning

Jan Kaiser, Chenran Xu, Annika Eichler +9

Online tuning of real-world plants is a complex optimisation problem that continues to require manual intervention by experienced human operators. Autonomous tuning is a rapidly ex…