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FEBIAD Ion Source Development at TRIUMF-ISAC

2018· article· en· W3163416395 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJACOW · 2018
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsTRIUMF
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

The ISOL facility TRIUMF-ISAC utilizes a number of different ion sources to produce radioactive ion beams. Most isotopes are ionized using surface or resonant laser ionization, but these techniques are prohibitively inefficient for species with high ionization energies, such as noble gases and molecules. For these cases, the Forced Electron Beam Induced Arc Discharge (FEBIAD) ion source can be used. The FEBIAD uses a hot cathode to produce electrons, which are accelerated through a potential (< 200 V) into the anode volume. Isotopes entering the resulting plasma undergo impact ionization and are extracted. Efforts are under way to better understand the physics and operation of the FEBIAD, using both theory and experiment. Recent measurements and simulations on the ISAC FEBIAD will be reported here.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.007
GPT teacher head0.204
Teacher spread0.198 · 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