Correction of flyer velocimetry traces for experiments with large Taylor angles
Bibliographic record
Abstract
When confining metal is accelerated by a grazing detonation it launches outwards at an angle relative to its initial orientation. Consequently, the metal velocity vector contains both lateral and longitudinal components. Since photonic Doppler velocimetry (PDV) can only resolve the component of velocity aligned with the collimated beam, recorded velocities must be tilt-corrected to obtain true wall velocity and casing shape. Correction is important for fitting detonation product equations of state. For standardized configurations like the cylinder test, the tilt angle is small (less than 15°). The error involved in approximate corrections for these configurations is thus negligible. However, if very thin flyers are launched, the tilt angles can approach 50°, making the correction large. In the present study we consider tilt-correction of PDV histories from explosively driven flyer experiments where large tilt angles were observed. We adapted the vector decomposition from Taylor's tubular bomb model and used a Galilean transformation to account for translation of the steady, detonation-attached wall motion past a stationary, laterally observing PDV probe. This approximate correction was compared to a more exact correction using two misaligned PDV probes to determine wall shape without any assumed relationship between wall velocity and wall angle. The Taylor approximation resulted in significant errors at large tilt angles. However, this error can be nearly eliminated by inclining the single probe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 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".