Innovative multilayer coatings for space solar physics: performances and stability over time
Bibliographic record
Abstract
Different solar mission are in progress and others are foreseen in the next future to study the structure and the dynamics of the Sun and its interaction with the Earth. Different instruments devoted to solar physics are required to have high reflecting MultiLayers (MLs) coatings. For example, the Multi Element Telescope for Imaging and Spectroscopy (METIS) coronograph will fly on board of SOLar Orbiter (SOLO) mission to perform simultaneous observation at 30.4 nm (He - II Lyman - α line), 121.6 nm (H - I Lyman - α line) and in the visible range, therefore its optics will require high performances in a wide spectral region. It should be desirable to reach higher reflectivity as well as long term stability and lifetime, then different candidate coatings will be considered. The Sounding - Rocket Coronographic Experiment (SCORE) is a prototype of METIS equipped with Mg/SiC optics and it has flown on board of a NASA sounding rocket. The Mg/SiC multilayers offer good performances in terms of reflectivity, but the long term stability and the lifetime have been preliminary investigated and there are open problems to be further studied. Besides standard Mo/Si multilayer, a possible alternative is represented by new multilayer structures based on well known Mo/Si stack in which the performances have been improved by superimposing innovative capping layers. Another alternative is represented by a recently developed multilayer based on an Ir/Si material couple. In this paper we review and compare the performances of such multilayer in all the spectral ranges of interest for SOLO.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".