PENENTUAN NILAI ASTRONOMICAL SEEING SEBAGAI FUNGSI JARAK ZENIT DENGAN METODE PHOTOGRAPHIC TRAIL DI OBSERVATORIUM BOSSCHA FMIPA ITB
Bibliographic record
Abstract
Telah dilakukan penelitian penentuan nilai astronomical seeing dengan metode photographic trail di Observatorium Bosscha FMIPA ITB. Penelitian ini penting dilakukan untuk mengetahui kondisi langit di suatu observatorium dan sebagai acuan dalam pembangunan suatu observatorium baru. Penelitian ini dilakukan pada tanggal 25-26 Agustus 2011 dengan merekam citra bintang-bintang terang di sekitar ekuator dengan variasi jarak zenit, menggunakan teleskop Unitron (D=102mm, f= 1500mm), filter Bessel V dan CCD ST-402. Dengan mengacu pada penelitian Gochermann tahun 1992 nilai seeing di Observatorium Bosscha saat pengamatan terletak pada rentang 1-2" dan menempati skala III (average) berdasarkan klasifikasi skala seeing oleh The Royal Astronomical Society of Canada. Dengan mengacu pada penelitian John B. Irwin tahun 1966 dilakukan plot grafik hubungan log seeing dengan log massa udara dan didapat persamaan linear y = 0,36x ± 0,04, maka pada jarak zenit 0° nilai seeing 1,094".
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.069 | 0.016 |
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".