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Record W3016922582

*WINNER* The Structure of 34Mg

2019· article· en· W3016922582 on OpenAlexaboutno aff
Benjamin Luna

Bibliographic record

VenueProceedings of Student Research and Creative Inquiry Day · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsExcited stateNuclideDetectorNuclear physicsOptics
DOInot available

Abstract

fetched live from OpenAlex

In the chart of nuclides, there exists an area near the N=20 shell closure where some isotopes’ ground states exhibit characteristics of deformed nuclei with an intruder configuration rather than being spherical. This area is known as an “island of inversion”, and the deformed ground states that characterize it are caused by particle hole excitations made possible by a greatly reduced shell gap. This project was part of the ongoing investigation into the island of inversion though gaining more knowledge on how nuclei in and around the island are shaped. The beta-decay of 34Mg into 34Al was observed and the data from this decay was used to make progress towards the creation of a decay level scheme for the excited states of 34Al. To collect the products of this decay, a beam of 34Mg was sent to plastic scintillators (SCEPTAR) and surrounded by high-purity germanium detectors (GRIFFIN) at TRIUMF in Vancouver, BC. The data from this decay was collected into ROOT files, energy calibrated, corrected for gain differences and shifts, and sorted into a coincidence list of transitions in preparation for a decay level scheme. These coincidences between gamma transitions are currently being sorted into angular correlation spectra primarily to make a determination of whether enough statistics were present to continue further analysis, which would involve the assigning of spins and parities to the energy states of 34Al.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.063
GPT teacher head0.391
Teacher spread0.328 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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