X‐ray spectroscopy and quantification of an <scp>AlCuLi</scp> quasi‐crystal: A step forward for combination of reflection zone plate and crystal spectrometers
Bibliographic record
Abstract
Abstract We present the analysis of an AlCuLi quasi‐crystal on an electron probe microanalyser equipped with spectrometers working both in the soft and ultra‐soft x‐ray ranges. This original combination enables obtaining the Li Kα and Al L 2,3 emissions with a reflection plate spectrometer and the Al Kβ and Cu Lα emissions with a curved‐crystal spectrometer. All these emissions are emission bands, sensitive to the chemical state of the emitting element. From the observation of the valence band shapes, it is confirmed that the electronic structure of the quasi‐crystal is quite different from that of the corresponding pure metals. From the measured intensities, quantification is performed using the PAP model. The weight fractions calculated from the ultra‐soft x‐ray emission intensities are very dependent on the chosen database of mass attenuation coefficients. Comparison with fractions calculated with small uncertainty in the soft x‐ray range enables choosing which databases are the most relevant for the ultra‐soft x‐ray range. Both quantifications performed from ultra‐soft and soft x‐ray emissions are compatible, leading to the Al 60 Cu 24 Li 16 weight concentration of the quasi‐crystal.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".