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Record W2319279580 · doi:10.2514/6.2012-3221

High Lift-to-Drag Ratio Waveriders for Missions in the Martian Atmosphere

2012· article· en· W2319279580 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue30th AIAA Applied Aerodynamics Conference · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsAstrobiologyAtmosphere of MarsDragAtmosphere (unit)MartianAerospace engineeringLift-to-drag ratioLift (data mining)Environmental scienceAeronauticsMars Exploration ProgramAtmospheric sciencesMeteorologyComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

An exploratory study has been performed on applying modern, high lift-to-drag ratio waveriders to a number of missions in and through the atmosphere of Mars. Earlier studies have most commonly employed lower lift-to-drag ratio conical-based waverider designs. The recent Osculating Flowfield Waverider Method can generate vehicles with greater aerodynamic performance than those from earlier methods. This improved waverider performance has favorable impacts for most of the examined missions. Waverider vehicles have been applied to a variety of missions including, aero-gravity assist during fly-bys, aerobraking for orbit capture, lifting entry from entry interface to landing, lifting ascents of return vehicles such as for sample-return missions, and boost-glide missions for travel from one surface location to another. The greater lift-to-drag ratio available from modern waveriders is a significant enhancer for most of the missions examined where this ratio has a positive influence.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.231
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it