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Measuring the half-life of n-rich <sup>100</sup>Rb with the TITAN MR-TOF-MS

2020· article· en· W3114601672 on OpenAlexafffund
Ish Mukul, C. Andreoiu, M. Brodeur, T. Brunner, K. Dietrich, T. Dickel, I. Dillmann, E. Dunling, D. Fusco, G. Gwinner, C. Izzo, Andrew Jacobs, B. Kootte, Y. Lan, E. Leistenschneider, M. Lykiardopoulou, S. F. Paul, M. P. Reiter, J. L. Tracy, J. Dilling, A. A. Kwiatkowski

Bibliographic record

VenueJournal of Physics Conference Series · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsUniversity of British ColumbiaMcGill UniversityUniversity of VictoriaUniversity of ManitobaSimon Fraser UniversityUniversity of WaterlooTRIUMF
FundersNatural Sciences and Engineering Research Council of CanadaTRIUMF
KeywordsIsotopeRubidiumMass spectrometryIsobaric processPhysicsNuclear physicsAtomic physicsChemistry

Abstract

fetched live from OpenAlex

Abstract Multiple-reflection time-of-flight mass spectrometers (MR-TOF-MS) have been demonstrated to have a mass resolving power in the range of few hundreds of thousand. The TITAN MR-TOF-MS has been used to separate isobaric impurities and measure masses of many rare isotopes. Recently we have measured the mass and half-lives of neutron-rich Rubidium isotopes with the MR-TOF-MS. This technique is capable of measuring the half-life of rare isotopes in the range of few tens of millisecond. In this proceeding, we present the measurement of half-life of 100 Rb that was found to be 50±5 ms, in good agreement with literature value of 48±3 ms.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.372

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.234
Teacher spread0.196 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2020
Admission routes2
Has abstractyes

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