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Record W2897456263 · doi:10.2351/1.5056782

Control of X-ray hazard in femtosecond electron diffractometer

2013· article· en· W2897456263 on OpenAlexaffabout
S. Sonoc, Gustavo Moriena

Bibliographic record

VenueInternational Laser Safety Conference · 2013
Typearticle
Languageen
FieldEngineering
TopicIntegrated Circuits and Semiconductor Failure Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsElectronDiffractometerMaterials scienceOpticsFemtosecondPhotocathodeCollimated lightAnodeElectromagnetic shieldingOptoelectronicsLaserPhysicsNuclear physicsScanning electron microscopeComposite materialElectrode

Abstract

fetched live from OpenAlex

In a femtosecond electron diffractometer (FED) electrons are generated by a 266 nm laser beam with 8 μJ/pulse by hitting a gold-coated quartz disc (photocathode). The electrons are accelerated in an electric field up to 300 keV. 1 mm thick Silicon disk with a 400 μm hole is used as anode and also for collimation of the electron beam. The electrons passing through the hole will hit the sample and create the diffraction pattern. Due to the high voltage, a considerable amount of X-rays are produced inside the vacuum chamber of the diffractometer. The steel walls and the glass windows do not offer enough shielding to reduce the dose rate around the instrument to acceptable levels. In this paper we will present the engineering and administrative controls put in place to control the X-ray hazard and to comply with the requirements of the Ontario Ministry of Labour.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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 designBench or experimental
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

Citations0
Published2013
Admission routes2
Has abstractyes

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