Multilayer Coatings for METIS Instrument
Bibliographic record
Abstract
The Multi Element Telescope for Imaging and Spectroscopy (METIS) is a coronagraph onboard of Solar\nOrbiter. It will perform simultaneous observations at HeII Lyman-α line, HI Lyman-α line and in visible. To\nachieve such capability, instrument mirrors need to be coated by multilayer (ML) structures with high efficiency\nat all three spectral ranges. Coatings with higher performances with respect standard Mo/Si are desirable. An\ninstrument prototype of METIS has just flown onboard of a NASA sounding rocket: in this case, optics were\ncoated with Mg/SiC MLs. Better performances have been obtained in terms of reflectivity, but long term\nstability of this coating is an open problem. Moreover the harsh conditions of the environment met during the\nSolar Orbiter mission given by plasma particles and high temperature could affect the lifetime of the optical\ncomponents on the long term. We present the design and reflectivity tests of multilayer structures in which\nperformances improvement is obtained by the use of novel capping layers. All multilayers are tuned at 30.4nm\nline but the design also maximize the performances at 121.6nm and 500 – 650 nm visible range. Analysis of\nSolar Orbiter environment have been carried on in order to point out the main damaging sources for the\nnanostructures. Computer simulations with a devoted software have been performed to preliminary evaluation\nof the possible instabilities in multilayers. Experimental tests for investigating the effects of the thermal heating\nand particles bombardments in the reflectivity performances have been planned.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".