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The sensitivity of the seismic solar model to Newton's constant

2003· article· en· W1969546044 on OpenAlexaboutno aff
Ilídio Lopes, Joseph Silk

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsStandard solar modelSolar coreSolar constantSolar neutrinoSolar neutrino problemSolar physicsSolar maximumSolar irradianceSolar observatoryObservatoryRange (aeronautics)AstrophysicsNeutrinoComputational physicsSolar cycleAstronomyNeutrino oscillationPlasmaNuclear physicsSolar wind

Abstract

fetched live from OpenAlex

New experimental determinations of Newton's gravitational constant have been recently given. There are significant disagreements between these new measurements. We show that the high accuracy obtained with current standard solar models is such that the uncertainties in core temperature profiles arising from the uncertainties in G can be comparable to the range in predictions by the solar standard model of the observed acoustic modes and solar neutrino fluxes. Solar models that have been computed with a relatively high value of Newton's constant, in agreement with the new measurements, produce an increase in the predicted sound speed and density profiles, with significant changes in the solar structure within the central region. These solar models predict a value of the active 8B neutrino flux slightly closer to the Sudbury Neutrino Observatory and Super-Kamiokande measurements than the value obtained with the previous solar standard model (with G from CODATA 1986). Furthermore, we find that solar models with G between 6.65 × 10−8 and 6.685 × 10−8 cm3 g−1 s−2 will have a reasonable agreement with the seismic solar model. Current uncertainties in solar physics and opacities prevent any stronger conclusions at present. However, we may be able potentially to use the Sun to determine an independent value of Newton's constant, representing an alternative measurement to the value that is determined in Earth laboratories.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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 designSimulation or modeling
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

Citations13
Published2003
Admission routes1
Has abstractyes

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