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Record W2142944391

Critical nuclear charge of quantum mechanical three-body problem

2014· article· en· W2142944391 on OpenAlexfundno aff
Amirreza Moini

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear physics research studies
Canadian institutionsnot available
FundersUniversity of Windsor
KeywordsCharge (physics)PhysicsQuantumAtomic physicsEffective nuclear chargeMass numberBound stateFunction (biology)Critical mass (sociodynamics)Quantum mechanicsElectronNeutron
DOInot available

Abstract

fetched live from OpenAlex

The critical nuclear charge Z c for a three-body quantum mechanical system consisting of positive and negative charges is the minimum charge for the system to remain in a bound state. This work presents a study of the critical nuclear charge for heliumlike systems with infinite nuclear mass, and also a range of the reduced mass up to 0.5. The results help us to resolve a discrepancy in the literature for the infinite mass case, and they are the first to study the dependence on reduced mass. It is found that Z c has a maximum at [Special characters omitted.] mM = 3525, which is intermediate between the atomic structure of helium, and the molecular structure of [Special characters omitted.] H+2 . Z c for the infinite mass case is found to be 0.911028267. This value is compatible with the result of Baker, et al, who found the upper bound for Z c to be 0.91103. However, it does not agree with other results in the literature. The understanding of the critical charge will bring us a deeper appreciation of the stability of a three-body system as a function of the reduced mass, correlation effects of coulombic potential and more importantly, the physics of a three-body quantum mechanical system.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.019
GPT teacher head0.252
Teacher spread0.234 · 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 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

Citations1
Published2014
Admission routes1
Has abstractyes

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