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Universitätsklinik für Medizinische Strahlenphysik
Pius-Hospital Oldenburg
Medizinischer Campus der Carl von Ossietzky Universität
Georgstraße 12
26121 Oldenburg

Article

Summary 2025 - Publications & preprints of our working group (Oldenburg)

Photon dosimetry & AI-QA, ion reference dosimetry and new ML approaches, space environment/planetary defence

Photons

ZAP-X / small-field reference dosimetry

  • Saße et al. (JACMP, 2025): kQmsr for PTW Semiflex 3D under ZAP-X reference conditions

    The article addresses reference dosimetry in "non-classical" geometries (small SAD, low measurement depths) and provides kQmsr determinations by Monte Carlo including classification of the depth dependence and practical recommendations for robust measurement conditions.

    Link: doi.org/10.1002/acm2.14610

    PubMed: pubmed.ncbi.nlm.nih.gov/39776143/

AI-supported patient-specific QA (IMRT)

Clinical oncology (outcome analyses)

 


Ions

Carbon ions: Reference dosimetry / kQ benchmarking

  • Stolzenberg(er) et al. (Physics in Medicine & Biology, 2025): kQ in C-ion fields with FLUKA vs. GATE/Geant4

    Systematic benchmarking of two Monte Carlo toolchains for kQ of selected cylindrical and plane-parallel ionisation chambers. The focus is on comparability, component decomposition (e.g. chamber/perturbation fractions) and sources of uncertainty in ionisation reference dosimetry.

    Link: doi.org/10.1088/1361-6560/adc5d5

    PubMed: pubmed.ncbi.nlm.nih.gov/40138793/


Space Environment

Planetary Defence / Atmospheric Entry (FRIPON context)

  • FRIPON International Team (Adrien Egal et al., Nature Astronomy, 2025): Catastrophic disruption of asteroid 2023 CX1

    The paper provides a comprehensive "space-to-lab" characterisation of the event 2023 CX1 (13.02.2023) with multi-sensor observations (incl. FRIPON contributions) and discusses fragmentation behaviour and potential ground risks - relevant for planetary defence strategies.

    DOI/Journal: doi.org/10.1038/s41550-025-02659-8

    Preprint: arxiv.org/abs/2509.12362

 

Asteroid Photometry / Debiasing Methods

  • Tobias Hoffmann et al. (Icarus; arXiv): DePhOCUS - statistical corrections for de-biasing asteroid photometric data.

    The aim is to reduce systematic effects (band/catalogue/observatory) in order to enable more reliable photometric parameters (e.g. H-sizes) and size/population statements derived from them.

    arXiv: arxiv.org/abs/2408.07474

    DOI: doi.org/10.1016/j.icarus.2024.116366

 

JWST: Small main-belt asteroids / meteorite sources

 

 

(Changed: 11 Feb 2026)  Kurz-URL:Shortlink: https://uol.de/p117269n12865en
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