High-resolution dual-energy sixteen-channel Kirkpatrick–Baez microscope for ultrafast laser plasma diagnostics
Bibliographic record
Abstract
High-resolution x-ray imaging diagnostics play a crucial role in fundamental research, such as inertial confinement fusion (ICF) and high-energy density physics (HEDP). Plasma signals are typically characterized by small scales, rapid evolution, and spectral complexity. These characteristics make it essential to develop x-ray diagnostics optics with high spatial resolution, collection efficiency, and spectral resolution. These requirements can be met using a combination of a high-resolution multi-channel Kirkpatrick–Baez (KB) microscope with spectrum-resolved multilayers and a time-resolved framing camera. This study describes the optical and multilayer design of a dual-energy sixteen-channel KB microscope. The calibrated results of online and offline imaging are shown. By utilizing a dual-energy multi-channel KB microscope, high-resolution backlighting and self-emission x-ray imaging can be realized and detailed information related to plasma density and temperature can be simultaneously obtained.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".