An Integrated Velocity Profile Measurement from Nanosecond Pulse Laser-Driven Mini-Flyer to Shocked Sample
Bibliographic record
Abstract
It is very important to develop a high time and space resolved velocity diagnostic technique for laser-driven shock wave experiments.However,it is still a difficult problem because of the limited size of laser-launched mini-flyer and ultra-short loading time in shocked sample.Thus,a micro focus Doppler pins system with time resolution of 50 ps and spatial resolution of 200 mm has been developed in our nanosecond laser-driven shock wave experiments,to perform an integrated velocity profile measurement from laser driven mini-flyer to impacted sample.The measured particle velocity of Z-cut quartz sample is 1.27 km/s while the impact velocity of 6 μm-thick Al foil is 2.48 km/s,which is in agreement with the calculated Hugoniot results.This validates our technique.Using our technique,the experimental results for three different types of mini-flyers show that the substrate/deposit layer/silicone oil/Al foil flyer structure has higher laser energy coupling efficiency and better integrity.This is valuable for designing a laser-driven shock wave experimental assembly.These results indicate that our technique is a viable approach for studying dynamics of laser-driven shock wave in materials.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".