Study of Radial Differential Coronal Rotation using Solar Radio flux for period (1980 1986)
Bibliographic record
Abstract
Spatial and temporal variation of inner and outer corona of solar rotation are interesting topics to explore which is one of the root causes of most of its activities and impacts on space weather of the earth. The research presented here investigates radio emission released from various layers of the solar corona during the years 1980-1986 (Half Schwabe Cycle). The rotation of the sun can be studied through various methods such as tracking of tracers, spectroscopic and flux modulation. The flux modulation is used in our study to explore dynamics in solar rotation. Annual time series of radio emission data at frequencies 430 and 810 MHz recorded at Jagiellonian University Radio Astronomical observatory, Cracow, Poland; at 1415 and 2695 MHz recorded at Sagamore Hill Radio Observatory Massachusetts, USA and 2800 MHz recorded at Dominion Radio Astrophysical Observatory, Pentincton, Canada are used in our study. Any periodic component, if embedded in such time series, could not be found directly, hence Lomb Scargle Periodogram (LSP), a suitable statical method which can deal with such time series, having permissible data gaps, is used here to find periodic components from available time series. The rotation period so obtained is studied against emission frequency emanating from different heights in the solar coronal atmosphere.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".