A proposed all-solid-state transportable narrow-band sodium lidar for mesopause region temperature and horizontal wind measurements
Bibliographic record
Abstract
An all-solid-state narrowband sodium lidar transmitter based on proven technologies is proposed. These proven technologies include: (i) the sum frequency generation of 589 nm coherent radiation with pulsed solid-state Nd:YAG lasers at 1064 and 1319 nm, developed for laser-guided star research and used in lidar measurements of mesopause-region temperatures by Shinshu University, (ii) the Doppler-free spectroscopic seed control developed by the Colorado State University and employed in a lidar system with hybrid solid-state and dye technologies for mesopause-region temperature and horizontal wind measurements, and (iii) the low-power continuous wave, tunable light around 589 nm via sum frequency generation developed by the University of Nevada. The proper combination of these mature technologies, deployed along with sodium-vapor Faraday filters, also developed by Colorado State University, will lead to a new all-solid-state sodium fluorescence lidar, capable of measuring mesopause-region temperatures and horizontal winds on a 24 h continuous basis, weather permitting. The integration of these proven solid-state technologies will make this proposed lidar transportable and suitable for remote operation in harsh environments. PACS Nos.: 42.68.Wt, 42.79.Qx, 92.60.–e, 07.20.Dt, 42.79.Qx
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".