Development of double-foil soft X-ray array imaging (DSXAI) diagnostic on HL-2A tokamak
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A 100-channel double-foil soft X-ray array imaging (DSXAI) diagnostic system has been developed for the HL-2A tokamak to obtain tomographic bremsstrahlung emissivity and electron temperature ( T e ). This system employs a double-foil technique to determine T e by comparing the soft X-ray (SXR) emissivities from the same plasma location through two beryllium (Be) foils of differing thickness. The DSXAI system comprises five photocameras mounted at two different poloidal cross-sections, separated toroidally by 15°, allowing for three distinct poloidal viewing angles. Each photocamera features 20 channels, offering a temporal resolution of approximately 4 μs and a spatial resolution of about 8 cm, with no channel overlap. Each photocamera contains two identical optical systems, each defined by an aperture slit and a photodiode array. The double-foil configuration is realized by placing these two optical systems, each with a different Be foil, in close proximity. Initial experimental results demonstrate that the DSXAI diagnostic system performs well, successfully reconstructing 2-dimensional (2D) tomographic SXR emissivity and T e on the HL-2A tokamak. This study provides valuable insights for the future implementation of similar diagnostic systems on fusion reactors like ITER.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it