Bibliographic record
Abstract
In this thesis, knowledge on the production mechanisms of small scale (meter and decameter) irregularities in the auroral E region is advanced, both theoretically and experimentally.In the theoretical part of the thesis, the linear fluid theory of the Farley-Buneman (F-B) and gradient drift (G-D) plasma instabilities is considered.A general 2-D dispersion equation is derived and analyzed.Then, a review of existing nonlinear theories is given.The thrust is on the theory predictions with respect to the phase velocity of plasma waves.As an expansion of the theory, one new effect in the F-B instability evolution is considered, a secondary instability of a turbulent background of the primary F-B waves.It is shown that in a system of F-B modes the energy can flow from the short-wavelength (primary) to long-wavelength (secondary) structures (inverse cascade), contrary to the currently dominating idea that the energy of unstable waves is transferred to the smaller-scale structures.The phase velocity of the secondary waves propagating along the electron flow was found to be close to the electron streaming velocity and not saturated at the ion acoustic speed of the plasma.A possibility of decameter wave generation through this mechanism is envisioned.Experimentally, data of 2 separate experiments carried out in the auroral E region to study phase velocity of meter and decameter irregularities are considered.First, nearly simultaneous measurements of two Super Dual Auroral Radar Network (Super-DARN) HF radars (12 MHz, scatter from decameter waves, A = 12 m) and one VHF radar (50 MHz, scatter from meter waves, A = 3 m) at the Antarctic Syowa station are compared.It is demonstrated that HF echoes exhibit quite different characteristics as compared to VHF echoes so that HF echoes with low 350 m S-l) and high (> 350 m S-l) Doppler velocities are proposed to consider separately.Observations indicate that the high-velocity HF echoes exhibit properties similar to VHF echoes while the low-velocity HF echoes do not have a VHF counterpart.Other echo characteristics are also studied.For example, the preferential direction for the HF echo occurrence was found to be shifted by 45from the direction of the electron flow and this shift was related to the existence of the low-velocity echoes in the data statistics.In the This thesis has only been made possible thanks to the outstanding supervision of Dr. Sasha Koustov.His influence has been enormous, his support omnipresent, and his guidance invaluable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".