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Record W6989919360

Collineare resonantie ionisatie spectroscopie van kalium isotopen: voorbij N=32

2019· article· en· W6989919360 on OpenAlexfundno aff

Bibliographic record

VenueLirias (KU Leuven) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsnot available
FundersKU LeuvenFonds Wetenschappelijk OnderzoekNational Natural Science Foundation of ChinaScience and Technology Facilities CouncilVlaamse regeringYork University
KeywordsNeutronIsotopeSpectroscopyIonizationGround stateResonance (particle physics)Magnetic momentNuclear data
DOInot available

Abstract

fetched live from OpenAlex

Understanding the properties of unstable nuclei has been a long-standing problem. In particular, the emergence and disappearance of so called magic numbers has attracted significant attention in recent years, both from the theoretical and experimental side. This thesis aims to contribute to the field of nuclear physics through the measurement of the ground state nuclear magnetic moments and the changes in the mean-square charge radii of neutron-rich potassium (K) isotopes (Z = 19). The K isotopes are within the reach of the state-of-the-art theoretical calculations and therefore serve as an excellent laboratory for testing new developments. Furthermore, in the Ca region new subshell closures are expected to emerge at neutron numbers N = 32 and N = 34. The study of 52K, which has N = 33 neutrons, allows for the investigation of the magic nature of N = 32 by looking at the evolution of the size of K isotopes leading up to and across N = 32. Furthermore, from the nuclear magnetic moment, the ground state configuration of this isotope can be extracted and compared to the empirical and theoretical estimates, further testing the magicity of N = 32 and Z = 20. The Collinear Resonance Ionization Spectroscopy technique was used for performing the measurements discussed in this thesis. First, the optimization of a resonance ionization scheme which provides high spectral resolution and high efficiency is presented. Next, developments towards improved precision are discussed. Both of these were essential to ensure the reliability of the results obtained with the CRIS technique, previously only used to study heavier systems. A simple decay station was assembled which could detect the decay of the short-lived K isotopes, while being insensitive to the non-resonantly ionized stable contamination. This way, the selectivity of the technique can be drastically improved. The aforementioned developments lead to the successful measurement of the hyperfine structure of 52K. The newly determined nuclear spin of this isotope supports the previous tentative assignment of I = 2. The experimental nuclear magnetic moment is well reproduced by shell model calculations using the SDPF-U interaction. The rather pure ground state wavefunction is dominated by the coupling between the proton in the d3/2 and the neutron in the p1/2 orbital. The change in the mean-square charge radius fits into the smoothly increasing trend of radii in the K chain above N = 28 and doesn't feature a kink, normally expected at shell closures. Furthermore, the charge radii were compared to state-of-the-art coupled cluster calculations using a new NNLO interaction derived from chiral effective theory. The disagreement between theoretical predictions and experimental values in the vicinity of N = 32 might indicate that the nuclear structure of these isotopes is more complex than expected.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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 designBench or experimental
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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