Development of a Prototype Pulsed Power Supply using SiC-MOSFETs for a Fast Kicker System in KEK-PF
Bibliographic record
Abstract
We are developing a fast pulsed power supply using Silicon Carbide (SiC) MOSFETs for a camshaft bunch kicker in KEK-PF. In the kicker system, the pulsed power supply needs to generate a high-precision short pulse with high power. A high repetition rate is also required due to the short circumference of the KEK-PF storage ring of 187 m. Therefore, the target specifications are 500 A pulsed current within a 1% uncertainty, a 100 ns pulse width, a timing jitter of less than 300 ps, a 15 kV voltage resistance, and a 1 MHz repetition rate. In addition, the power supply should have a high radiation resistivity because the power supply will be placed near the accelerator ring to reduce transmission impedance. To achieve the requirements, we have newly started the development of a pulsed power supply with a solid-state switching module using SiC-MOSFETs. We first developed a prototype power supply with a 14 kV switching module consisting of 16 SiC-MOSFETs in series. We confirmed the prototype power supply could deliver half-sine pulses with stable operation at a low repetition rate. The prototype power supply was also tested near the accelerator ring and worked successfully for about two months. We report the performance of the prototype pulsed power supply using SiC-MOSFETs.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".