Hard X-ray Resonant Inelastic X-ray Scattering at the Advanced Photon Source
Bibliographic record
Abstract
The use of resonant enhancements of the inelastic cross-section in the hard X-ray regime has been developing rapidly in the last few years, driven both by advances in the instrumentation, from sources to analyzers to detectors, and by simultaneous advances in theoretical understanding of the resonant process and the inelastic cross-section [5 Brink, J. v. d. Synchrotron Radiation News, this issue [Google Scholar]]. The field has recently been reviewed in an article by Ament et al. [2 Ament, L. J.P., Veenendaal, M. v., Devereaux, T. P., Hill, J. P. and Brink, J. V.D. 2011. Rev. Mod. Phys, 83: 705[Crossref], [Web of Science ®] , [Google Scholar]], following earlier reviews by Schulke [24 Schuelke, W. 2007. Electron Dynamics by Inelastic X-ray Scattering Oxford: Oxford University Press.. [Google Scholar]] and Kotani and Shin [21 Kotani, A. and Shin, S. 2001. Rev. Mod. Phys, 73: 203[Crossref], [Web of Science ®] , [Google Scholar]]. Most collective modes have now been observed with the technique including phonons [2 Ament, L. J.P., Veenendaal, M. v., Devereaux, T. P., Hill, J. P. and Brink, J. V.D. 2011. Rev. Mod. Phys, 83: 705[Crossref], [Web of Science ®] , [Google Scholar], 28 Yavas, H. 2010. Journal of Physics: Condensed Matter, 22: 485601[Crossref] , [Google Scholar]], bi-magnons [7 Ellis, D. S. 2010. Phys. Rev. B, 81: 085124[Crossref] , [Google Scholar], 14 Hill, J. P. 2008. Phys. Rev. Lett, 100: 097001[Crossref], [Web of Science ®] , [Google Scholar]], magnons and charge transfer excitations. In this article, we briefly survey some of the very recent work that has been carried out at the Advanced Photon Source, focusing on studies of magnons and charge transfer excitations in strongly correlated systems. This work was carried out on the beamlines 9IDB and 30IDB. We first discuss the instrument at Sector 30, known as “MERIX.”
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".