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Record W2030706500 · doi:10.1117/12.485975

Defence R&D Canada research on nuclear methods of landmine detection

2003· article· en· W2030706500 on OpenAlexafffundabout
John E. McFee, Anthony A. Faust

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsDefence Research and Development Canada
FundersMinistère de la Défense Nationale
KeywordsNeutron detectionNeutron imagingNeutron sourceNeutron generatorNeutronCollimated lightNeutron temperatureComputer scienceDetectorScintillatorSoftwareOpticsRemote sensingNuclear engineeringPhysicsNuclear physicsEngineeringLaserGeology

Abstract

fetched live from OpenAlex

Defence R&D Canada (DRDC) has an active research and development program on detection of landmines using nuclear methods. They are intended for confirmation by detection of characteristic radiation or imaging of back scattered intensity distributions. Both vehicle-mounted and person-portable systems are being developed. Research on thermal neutron analysis (TNA) was initiated in 1994 to provide a confirmation detector for the DRDC developed multisensor, teleoperated, vehicle-mounted, landmine detection system. A version is now commercially available and four units have been fielded by the Canadian Land Forces. A prototype next generation TNA, which uses an electronic neutron generator as a source, has been constructed. Preliminary tests have shown improved performance. Research is now ongoing to investigate the addition of a fast neutron analysis capability to the next generation TNA. Characterization studies and software improvements are being conducted. Related research is investigating whether fast inorganic scintillator materials can provide an improvement in energy resolution. For person-portable applications, both neutron and photon irradiation processes are being investigated. A prototype landmine detector based on neutron moderation imaging has been completed and preliminary images of antipersonnel mine simulants obtained. It consists of a novel thermal neutron imaging system, a unique neutron source to uniformly irradiate the underlying ground and hardware and software for image generation and enhancement. Simulations show that it should provide a significant improvement over non-imaging neutron backscatter systems. X-ray backscatter imaging research is concentrating on non-collimated approaches to enable it to be person-portable. One such method, coded aperture imaging, is being investigated and extensive simulations using Geant4 have demonstrated its merits. Initial joint experiments with UC San Diego, using their HEXIS detector, have been conducted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.580
Threshold uncertainty score0.845

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0300.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.300
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2003
Admission routes3
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicNuclear Physics and ApplicationsFrench-language works237,207