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Record W2109371430

A Measurement of the ^(10)Be/^9Be ratio above 1.0 GeV/nucleon: Results from the 1998 Flight of ISOMAX

2001· book-chapter· en· W2109371430 on OpenAlexaboutno aff
G. A. de Nolfo, L. Barbier, M. Bremerich, E. R. Christian, A. J. Davis, S. Geier, H. Göbel, S. K. Gupta, T. Hams, M. Hof, W. Menn, R. A. Mewaldt, J. W. Mitchell, S. M. Schindler, M. Simons, R. E. Streitmatter

Bibliographic record

VenueCopernicus Systems and Technology GmbH eBooks · 2001
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsCherenkov radiationPhysicsNuclear physicsNucleonCosmic rayCherenkov detectorBerylliumRigidity (electromagnetism)SpectrometerDetectorOptics
DOInot available

Abstract

fetched live from OpenAlex

The Isotope Magnet Experiment, ISOMAX, was a balloon-borne instrument designed to measure the isotopic composition of the light elements in cosmic rays (3 ≤ Z ≤ 8), with a particular emphasis on the measurement of the radioactive isotope 10 Be. ISOMAX, flown in August 1998 from Lynn Lake, Manitoba, Canada, measured isotope mass with excellent resolution by combining velocity measurements from a time-of-flight (TOF) system and two Cherenkov detectors with magnetic rigidity (charge/momentum) measurements from the magnetic spectrometer. Velocity from the TOF can be used to resolve isotopes of beryllium from ˜0.2 GeV/nucleon to just above 1 GeV/nucleon. The Cherenkov counters employed silica-aerogel radiators with indices of refraction n=1.14, corresponding to an energy threshold of ˜1 GeV/nucleon. Thus, the velocity measurement from the Cherenkov counters complements and extends the energy range covered by the TOF. We discuss improvements to the mass resolution above Cherenkov threshold and present results for the 10 Be/9 Be and 7 Be/Be ratios in the energy range covered by the Cherenkov counters (1.1-2.0 GeV/nucleon).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.230
Teacher spread0.202 · 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 designObservational
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

Citations1
Published2001
Admission routes1
Has abstractyes

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