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Record W4414776085 · doi:10.22323/1.501.1351

Solar Neutron Events recorded by the Mt. Norikura Observatory during 2024

2025· article· en· W4414776085 on OpenAlexaboutno aff
A. Oshima

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNuclear Physics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsNeutron monitorSolar flareObservatoryNeutronNeutron generatorScintillatorSolar cycleSolar observatory

Abstract

fetched live from OpenAlex

Solar flares are broadly classified into the impulsive flares and the gradual flares. Of these, the process by which ions are accelerated to high energies in the impulsive flares are not well understood. To elucidate this process, it is important to detect solar neutrons produced by solar flares. For this reason, we have installed instruments in high mountains all over the world to continue the observation. The solar activity in the 25th solar cycle is now approaching at the peak, and X-class flares are frequently observed on the solar surface. As a result, high-energy ions are arriving on the Earth stations many times. In this paper, we report the neutron associated events at Mt. Norikura Observatory (2,700m) during 2004. These events were recorded on May 8 (X1)(twice), May 11 (X5.8), Oct 24 (X3.1) of 2024 and solar neutron decay proton event(SNDP) were recorded also in the neutron monitor at Calgary(SNDP) on May 11 of 2024. Note that 1mˆ2 area 50cm thick scintillator and 12NM64 neutron monitor are currently used. They are automatically operated by the solar power generator in the winter season. We believe that our experience will be useful for other observing projects without electricity. Therefore, we also describe the details of this observation system in the paper.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.231
Teacher spread0.224 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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