Modeling of the Electric Field in a Hypersonic Rarefied Flow
Bibliographic record
Abstract
the magnitude of convective and radiative heat transfer to the vehicle surface. The presence of this weak plasma necessitates the existence of an electric field in the shock layer to accelerate the charged particles. In this study, the structure of the self-induced electric field in a rarefied reentry flow is examined using a Direct Simulation Monte Carlo solver that is coupled to a Particle in Cell solver. Computations are performed for a one dimensional model of the stagnation streamline of the flow formed in front of a blunt body reentering the Earth’s atmosphere. The model parameters are chosen to produce a flow field structure similar to that experienced by the FIRE II reentry vehicle at an altitude of 85 km in its reentry trajectory. This is accomplished in a computationally tractable manner by varying the freestream density, the diameters of the particles, and the electron mass from the values at the actual FIRE II flight conditions. The flow field results are compared to results obtained using an approximate DSMC method used to incorporate the eect of the electric field on the structure of a hypersonic shock layer.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".