Bibliographic record
Abstract
In this work, a prototype anti-scatter detector based on Cherenkov radiation is developed by using glass rods. Scattering lends deleterious effects to the megavoltage x-ray portal imaging and anti-scatter detector can effectively reduce these effects. A 10 cm long glass rod with 1 mm in diameter is used as a Cherenkov detector prototype and it is studied for its response to x-ray scattering from, e.g., machine head and patient. It is subjected to 6 MV x-ray beam generated by linear accelerator (LINAC) with different field sizes (from 3 X 3 to 20 X 20 cm2) at different air gaps such as 10, 30 and 46 cm. The Cherenkov signal created by the detector is transmitted through optical fiber to photomultiplier tube (PMT) and measured by electrometer. The patient scattering is studied by placing a solid water phantom at isocenter. The response of single pixel Cherenkov detector is compared with the conventional ionization chamber detector. It has been observed that glass rod based Cherenkov detector is less sensitive to scatter radiation than ion-chamber for air gap of 10 cm. The Cherenkov signal created by glass rod is quite weak for larger air gaps and the uncertainties are quite high. Moreover, the coupling between Cherenkov detector and optical fiber is quite crucial for transmitting the Cherenkov signal from glass rod into optical fiber.
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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 | 0.001 |
| 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 | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".