Laser-Sustained Plasma for Deep Space Propulsion: Initial LTP Thruster Results
Bibliographic record
Abstract
The application of directed energy to deep-space propulsion is enabled by large-phased arrays of fiber optic lasers, with Laser-Thermal Propulsion (LTP) being a particularly promising approach, theoretically providing both high thrust and specific impulse. This paper reports the development and early tests of a Laser-Thermal Propulsion thrust facility. The threshold power necessary for Laser-Sustained Plasma (LSP) has been measured in an apparatus with 5 to 20 bar of static argon gas, using a 200-W to 3-kW fiber laser pulse at 1070 nm. Preliminary laser absorption data suggests around 80% of the laser energy is deposited into the plasma, in line with past literature. Pressure and spectral data was acquired to determine heat deposition into the working gas and peak LSP temperature although further work is needed for conclusive results. Flowing tests were also attempted but will require dedicated apparatus for a systematic study of forced flow on LSP.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".