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Record W4242188661 · doi:10.22215/etd/2015-11073

Observation of Singly Charged Barium Ions in a Buffer Gas: Towards a Functional Barium-Tagging System for Use in the Enriched Xenon Observatory

2015· dissertation· en· W4242188661 on OpenAlexaff
Ryan Killick

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhysicsBariumNeutrinoDouble beta decayMAJORANAIonNuclear physicsXenonExcitationLeptonSensitivity (control systems)Particle physicsAtomic physicsChemistryElectron

Abstract

fetched live from OpenAlex

The observation of the rare neutrinoless-double-beta-decay will have major implications for both neutrino physics and particle physics as a whole. In particular, a positive observation will conrm the Majorana nature of the neutrino and demonstrate that lepton number is not a strictly conserved quantity. Furthermore, a measurement of the half-life of the decay will lend itself to a measurement of the absolute mass scale of the neutrino. In this work, the sensitivity to observing the neutrinoless-double-beta-decay of 136 Xe is analyzed for the EXO experiment, and the benets of the inclusion of a barium-tagging system in a future tonne-scale detector are demonstrated. In addition, the sensitivity to single barium ion identication is analyzed for two dierent methods of observation: continuous excitation and intermodulation. The intermodulation technique was determined to be the more sensitive as single barium ions were observed with a relatively high signal-to-noise ratio of 4 for a one second observation time. Single ions were not observed using the continuous excitation technique.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.101
GPT teacher head0.320
Teacher spread0.219 · 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.

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

Citations4
Published2015
Admission routes1
Has abstractyes

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