Solar Panel Design and Qualification for the Mars Atmosphere and Volatile EvolutioN (MAVEN) Program
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.
Bibliographic record
Abstract
This paper describes the solar array requirements and its design challenges, and the qualification tests completed to verify the design’s ability to operate during cruise, orbit insertion and provide electrical power for 2 years in Mars orbit. The key requirements are 1) meets EOL power required for operations of the science payloads and spacecraft using a total of 4 solar panels (area of 15.7 m) and 2) meets the maximum magnetic field emitted by the on/off switching of the solar array circuits to the sub-nano Tesla level. Special front side cell layout and backside wiring design guideline was required to lower the magnetic signature of the solar cell circuits to not interfere with a magnetometer science payload installed at the end of the deployed solar array. Design solutions for meeting the electrical power and magnetic cleanliness requirements involve the use of Emcore Corp’s 3 generation triple junction, ZTJ, Luna-shaped solar cells. The ZTJ solar cells were qualified per AIAA-S-111-2005 standard in 2009. Qualification at the solar panel level for MAVEN involved using ZTJ cells bonded to composite substrates and flight-like backside wiring for magnetic self-cancellation. Qualification tests of the solar panel involved a small scale coupon subjected to 2X life thermal cycling and flight-size panel subjected to 24 hour bakeout and 8 thermal cycles in a vacuum environment to protoflight temperatures. Pre and post-environmental electrical performance tests measured at ambient temperature and at the maximum operating temperatures while in vacuum verifies the ability of the solar panels to operate as designed in the MAVEN environment.
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 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) | 0.000 | 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 it