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Record W2792625749 · doi:10.22323/1.028.0170

The TRIUMF Annular Chamber of Tracking and Identification of Charged Particles (TACTIC)

2010· article· en· W2792625749 on OpenAlexaff
G. Ruprecht, P. Amaudruz, P. Mumby-Croft, L. Buchmann, Simon P. Fox, Brian Fulton, A. M. Laird, R. Openshaw, M. M. Pavan, J. Pearson, P. Walden

Bibliographic record

VenueProceedings of International Symposium on Nuclear Astrophysics - Nuclei in the Cosmos - IX — PoS(NIC-IX) · 2010
Typearticle
Languageen
FieldMedicine
TopicRadiation Therapy and Dosimetry
Canadian institutionsTRIUMF
Fundersnot available
KeywordsTracking (education)Identification (biology)Nuclear physicsPhysicsComputer science

Abstract

fetched live from OpenAlex

Many nuclear reactions important for nucleosynthesis are investigated by transfer reactions using a radioactive ion beam on gas targets such as 1 H, 2 H, 3 He and 4 He.Since these measurements are performed in inverse kinematics, the energies of the ejectiles are usually low with a strong angular dependence in the laboratory system.Therefore, a new kind of detector is needed that allows the detection of low-energy ions from a gas target with good energy and angle resolution and a large angular coverage.TACTIC is a cylindrical time-projection chamber that can utilize the target gas also as the drift medium so that no separation window is required.Moreover, the reaction region is still separated from the drift region which allows for the higher beam currents needed for impact energies far below the Coulomb barrier.The cylindrical design is possible by the application of gas electron-multiplier (GEM) foils for the amplification of the weak electrondrift signals.From the electron-drift times the ion track can be reconstructed while the collected charge provides additional information about the ion species.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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
GenreMethods

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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of International Symposium on Nuclear Astrophysics - Nuclei in the Cosmos - IX — PoS(NIC-IX)Same topicRadiation Therapy and DosimetryFrench-language works237,207