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Record W4385496580 · doi:10.1051/0004-6361/202244129

The nature of the solar wind electron temperature and electron heat flux

2023· article· en· W4385496580 on OpenAlexaff
D. Hubert, C. S. Salem, M. Pulupa

Bibliographic record

VenueAstronomy and Astrophysics · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsUniversity of British Columbia
FundersNational Aeronautics and Space AdministrationNational Science Foundation
KeywordsPhysicsHeat fluxSolar windElectron temperatureHeliospheric current sheetElectronInterplanetary magnetic fieldHeat transferMagnetic fieldMechanics

Abstract

fetched live from OpenAlex

Aims. We aim to analyze the solutions of the solar wind electron energy equation in a spherical expansion with a spiral interplanetary magnetic field (IMF), a radial power law of the electron heat flux with a constant index α, and a constant or a smooth increase of the solar wind speed. Methods. Generic analytical electron temperature profiles for constant co-latitude of the radial vector r and different power law indices of the electron heat flux are established. We concentrate on the solution of the energy equation for an expansion in the heliospheric equatorial plane. We define a critical electron heat flux that is a fraction of the electron thermal energy convected at the solar wind speed and plays a crucial role in the electron energy equation solution. Results. When the electron heat flux density is equal to the critical heat flux, the electron temperature is driven by the dissipation of the electron heat flux and the effect of the IMF. This corresponds to a heat dissipation dominated (HDD) expansion of the electrons. When the electron heat flux is not equal to the critical electron heat flux, three effects drive the electron temperature evolution: an adiabatic cooling, the dissipation of the electron heat flux and the spiral IMF effect. These contributions are quantitatively evaluated along the radial expansion. For a same electron heat flux and solar wind velocity, we show an important effect, that the solar wind electron temperature with a spiral IMF is higher than with a radial IMF up to some large radial distances, and that this difference increases with an increasing power law index α up to −2. Based on the phenomenological energy equation, we show that the Spitzer and Härm law is approximately verified in a spiral IMF for moderate radial distances from the Sun lower than 2 AU, with an electron heat flux power law index a little lower than −2.40 and an electron temperature with a power law a little higher than −0.40. A complete study requires the solution of the electron fluid equation for different solar wind speed profiles. The study of data collected on the Ulysses mission, along a portion of a southward high-latitude orbit, needs a specific analysis because a large variation of the co-latitude is observed along that orbit leg. From this study, we conclude that the dissipation of the electron heat flux between 1.52 and 2.3 AU cannot sustain the measured total electron temperature in this distance range; we show that the core-strahl electron population has a temperature driven by the heat flux dissipation between 1.52 and 2.3 AU, and that this core-strahl temperature profile has the property of an HDD expansion. Conclusions. The results, in Parts 1 and 2, suggest we should study the energetics of the solar wind core-strahl electron population as a whole and revisit the Spitzer and Härm law corresponding to this population while taking into account the spiral IMF.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 science0.0000.000
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 head0.002
GPT teacher head0.197
Teacher spread0.195 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

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