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Record W6980883083

Cross Section Measurements for the Nucleosynthesis of Heavy Nuclei and Type Ia Supernovae
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2014· dissertation· en· W6980883083 on OpenAlexaboutno aff

Bibliographic record

VenueWhite Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · 2014
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicOcular Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsNucleosynthesisCross section (physics)Nuclear fusionQuadrupoleExcitationDipoleNuclear reactionFusion
DOInot available

Abstract

fetched live from OpenAlex

In this work, two rather different experiments with their respective analysis have been described. The first experiment concerned the 20Ne(d,p)21 Ne transfer reaction and the second the 12 C+12C fusion reaction.
\nAn experiment of 20 Ne(d,p)21 Ne transfer reaction was performed in Munich, Germany using the Quadrupole Dipole Dipole Dipole (Q3D) magnetic spectrograph. This experiment has aimed at the investigation of spectroscopic information around the Gamow window of the 17O(α,γ)21 Ne located between Ex = 7.65-8.05 MeV. The stated experiment was performed using an 21Ne implanted target on carbon and covered the excitation energies varying from 6.9 MeV to 8.5 MeV. Sixteen states were identified, three of which,
\nthe 8.328(6) MeV, 6.977(17) MeV and 6.960(2) MeV have first been observed in this work. 
\nWithin the Gamow window however, only one state, the 7.955(2) MeV by correspondence to the 7.9603(10) Mev as recorded in literature, has been identified. Out the sixteen states, this work made eleven firm assignments and two “tentative” assignments.
\nThe 12 C+12 C fusion reaction was performed at TRIUMF, Canada using TUDA, the TRIUMF UK Detector Array. The experiment covered the centre of mass located between 3.4 to 4.02 MeV. The aim of this work was the determination of the cross section, which would help, at theses energies, reduce uncertainties observed in present data sets.
\nAnalysis such ADCs and TDCs calibrations, different cuts selection necessary for particle identification are presented.
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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 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 score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.018
GPT teacher head0.235
Teacher spread0.217 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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