Method for detecting geomagnetic disturbances based on the wavelet model of geomagnetic field variations
Bibliographic record
Abstract
The authors proposed a method for modeling geomagnetic field variations based on the construction of wavelet packets. The article presents the results of modeling and data analysis during periods of increased solar activity and magnetic storms. We used onesecond geomagnetic data from the stations of the polar zone «Abisko» (Sweden, 68°21.7’N 18°43.4’E) and «Ministik Lake» (Canada, 53°21.0’N 112°59.0’W). The paper proposes an algorithm for identifying geomagnetic pulsations (fluctuations in the frequency band from thousandths to several Hz), which are characterized by a quasiperiodic structure. On the basis of modeling, short-period geomagnetic disturbances of moderate and weak intensity were detected, which precede magnetic storms and characterize the occurrence of oscillatory processes in the Earth’s magnetosphere against the background of an increase in heliospheric activity. The paper proposes computational solutions for the detection and estimation of parameters of geomagnetic disturbances for the automation of the method.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".