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Record W2000657651 · doi:10.1029/2001ja009200

Akebono/Suprathermal Mass Spectrometer observations of low‐energy ion outflow: Dependence on magnetic activity and solar wind conditions

2003· article· en· W2000657651 on OpenAlexaff
C. M. Cully, E. Donovan, A. W. Yau, Gregory Gabor Arkos

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSolar windOutflowPhysicsEarth's magnetic fieldInterplanetary magnetic fieldAtmospheric sciencesKinetic energyFlux (metallurgy)Computational physicsEnvironmental scienceMagnetic fieldMeteorologyChemistry

Abstract

fetched live from OpenAlex

We present observations by the Suprathermal Mass Spectrometer (SMS) on Akebono (EXOS‐D) of ion outflow in the energy range from <1 to ∼70 eV. These observations cover a unique region of phase space and present an opportunity to “tie together” observations from disparate satellites. Variation of the total hemispheric O + and H + outflow rates with solar radio flux (monitored by the Penticton F 10.7 index), with geomagnetic activity (monitored by the Kp index), and with solar wind parameters is discussed. Comparisons of F 10.7 and Kp trends to results from Polar and Dynamics Explorer‐1 (DE‐1) lead us to conclude that flows of H + in this low energy range are entirely sufficient to account for higher‐energy flows at higher altitudes. On the other hand, we infer a substantial amount of O + at energies above 70 eV. Both H + and O + outflow rates in this range exhibit a strong correlation with the solar wind kinetic pressure, the solar wind electric field, and the variability in the interplanetary magnetic field (IMF) in the hour preceding. While these factors are also associated with increased geomagnetic activity ( Kp ), a separate, Kp ‐independent effect is also found, showing a correlation of ion outflow with solar wind density and an anticorrelation with solar wind velocity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.282
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 teacher head, not a consensus.

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

Citations169
Published2003
Admission routes1
Has abstractyes

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