Construction of 1.7 MV Pelletron Tandem Accelerator System and Its Application to Human Resource Development at Tokyo City University Atomic Energy Research Laboratory
Bibliographic record
Abstract
Tokyo City University Atomic Energy Research Laboratory was established in 1960 and operated the research reactor “Musashi Reactor” (TRIGA-II type, 100 kW) for 25 years from January 1964 until December 1989. At present, this reactor is being decommissioned. In 2013 the institute decided to introduce a 1.7 MV pelletron tandem accelerator (TCU-tandem). In this paper, we describe the construction of this accelerator system. Among the work, we emphasize the conditioning of the accelerating tube, which had been kept for a long time without operation. The construction was implemented together with students of a nuclear engineering course and was utilized as education and training for them. As applied research using this tandem accelerator, we are planning to extract MeV proton beams and carry out elemental analysis by particle induced X-ray emission(PIXE)/Rutherford backscattering spectroscopy(RBS) methods. Taking advantage of the feature that TCU-tandem is located in a research reactor facility being decommissioned, material analysis related to the decommissioning process will be carried out.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".