SAMEERDU—Digital Ionosonde: Brief System Description and Initial Results from a Low‐Latitude Location Dibrugarh
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A digital ionosonde was designed and built by Society for Applied Microwave Electronics Engineering and Research (SAMEER), Mumbai in collaboration with Dibrugarh University to suit the needs of equatorial‐ and low‐latitude regions of India. The design objectives were to obtain good signal‐to‐noise ratio to mitigate the heavy noise due to interference, obtain short duration ionograms, estimate vertical drifts, reconstruct vertical electron density profile, and make antenna size smaller. Transmission of maximum 1 kW power using modified delta antenna is used with dual channel magnetic loop receiver antenna. Pulse compression by 8‐ and 16‐bit biphase codes are employed to increase noise immunity and the height resolution. The preliminary results of the ionogram mode only are presented in this work. The basic ionogram recorded by this system called SAMEER‐Dibrugarh University Ionospheric Radar is compared with colocated Canadian Advanced Digital Ionosonde ionogram which is in operation in Dibrugarh since 2010. A reasonably clear trace of E and F layers is obtained even without coherent pulse integration and pulse coding. The performance of the coding schemes is investigated with and without coherent integration. Some sample ionospheric experiments conducted with SAMEER‐Dibrugarh University Ionospheric Radar, and interesting results like the detection of travelling ionospheric disturbances, Es layer substructures, ionospheric irregularities, and the generation of bottom‐side vertical electron density profile are presented to highlight the potential and capabilities of the system.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it