Evidence map›Paper›PMID 40000674›Full record

ArticleScientific reports2025

Characterization of a mock up nuclear waste package using energy resolved MeV neutron analysis.

Tim T Jäger, Tsviki Y Hirsh, Stefan Scheuren, Alexander M Long, Adrian S Losko, Alexander Wolfertz, Marc Zimmer, Markus Roth, Sven C Vogel

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Tim T JägerInstitut für Kernphysik, Technische Universität Darmstadt, Darmstadt, Germany. tjaeger@ikp.tu-darmstadt.de.
Tsviki Y HirshSoreq Nuclear Research Center (SNRC), Yavne, Israel.
Stefan ScheurenInstitut für Kernphysik, Technische Universität Darmstadt, Darmstadt, Germany.
Alexander M LongMaterials and Science Division, Los Alamos National Laboratory, Los Alamos, USA.
Adrian S LoskoForschungs-Neutronenquelle Heinz Maier-Leibnitz (FRM II), Technische Universität München, Munich, Germany.
Alexander WolfertzForschungs-Neutronenquelle Heinz Maier-Leibnitz (FRM II), Technische Universität München, Munich, Germany.
Marc ZimmerFocused Energy GmbH, Darmstadt, Germany.
Markus RothInstitut für Kernphysik, Technische Universität Darmstadt, Darmstadt, Germany.
Sven C VogelMaterials and Science Division, Los Alamos National Laboratory, Los Alamos, USA. sven@lanl.gov.

Funding

Bundesministerium für Bildung und Forschung 050306/50001339Bundesministerium für Bildung und Forschung 05K22WO5Laboratory Directed Research and Development 20230592ER
6 · The paper itself

Abstract

Reliable radiographic methods for characterizing nuclear waste packages non-destructively (without the need to open containers) have the potential to significantly contribute to safe handling and future disposal options, particularly for legacy waste of unknown content. Due to required shielding of waste containers and the need to characterize materials consisting of light elements, X-ray methods are not suitable. Here, energy-resolved MeV neutron radiography is demonstrated as a first-of-its-kind application for non-destructive and remote examination of mock up nuclear waste packages from a safe position using time-of-flight techniques enabled by a novel event-mode imaging detector system. Energy-resolved neutron transmission spectra were measured spatially, permitting the detection of analogue materials to actual nuclear waste such as water, melamine, and ion exchange resin within a 2.54 cm wall thickness steel pipe. The results demonstrate the capability to locate the materials through this wall thickness by radiography and tomographic reconstruction, revealing detailed 3D distributions and structural anomalies. The method effectively detects residual water in ion exchange resin, highlighting its sensitivity to moisture content, a crucial parameter for nuclear waste characterization. Monte Carlo simulations are in agreement with the experimental findings, providing a pathway to simulate waste forms more difficult to tackle experimentally. This work paves the way to apply sub-nanosecond intense MeV neutron sources, such as laser-driven neutron sources under development, to nuclear waste characterization.

Identifiers

PMID40000674
PMCPMC11861261

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.