High power RF operations studies at TARLA facility
Bibliographic record
Abstract
Turkish Accelerator and Radiation Laboratory (TARLA) is a facility capable of accelerating an electron beam up to 40 MeV. Two beamlines were proposed to generate free-electron laser radiation and bremsstrahlung. The accelerator employs two normal conducting cavities, so-called buncher cavities: subharmonic buncher (SHB) and fundamental buncher (FB), and two cryomodules that house two TESLA cavities each. SHB operates in 260 MHz and FB in 1.3 GHz, and is powered by 1.5 kW and 500 W radio frequency (RF) amplifiers, respectively. Each TESLA cavity is driven by 18 kW saturated high-power solid-state amplifiers (SSA). In addition, a L band pulse compressor system is designed and implemented at the facility to actively promote high-power RF research. Currently, setup of a resonant ring test bench is approved to test the RF components under high power RF conditions. This paper describes the TARLA high power RF, RF controller, and network structures. High power tests and measurements of the RF components of the TARLA beamline are given. Outcomes from the operation of the L band pulse compressor are explained, and the resonant ring test stand is stated as a summary.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".