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Record W2090575147 · doi:10.1117/12.859706

Improved synchrotron performance from indium antimonide crystals

2010· article· en· W2090575147 on OpenAlexafffundabout
B. Yates, Yongfeng Hu, Vinay Nagarkal

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced X-ray Imaging Techniques
Canadian institutionsCanadian Light Source (Canada)
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsIndium antimonideMonochromatorCrystal (programming language)AntimonideBeamlineMaterials scienceSynchrotronAdvanced Photon SourceOpticsOptoelectronicsPhoton energyPhotonPhysics

Abstract

fetched live from OpenAlex

The soft x-ray micro-characterization beamline (SXRMB) has recently undergone commissioning at the Canadian Light Source. SXRMB is a synchrotron bending magnet based design that covers a photon energy range of 1.7-10 keV, using a double-crystal monochromator that employs two crystal pairs - InSb-111 and Si-111. The indium antimonide crystals are typically used over the photon energy sub-range of 1.7-4 keV, to cover the K-edges of many important elements, including Si, P, S, Cl, and Ca. The performance of the InSb-111 crystal pair has proven problematic, requiring several iterations to improve the photon flux performance to an acceptable level. Thermal distortions for indium antimonide are considerable even at power levels below 50 W, since it suffers from poor thermal conductivity and a large linear thermal expansion coefficient. Finite element analysis results for different crystal thicknesses will be presented. Improvements to the crystal cage holders and cooling, as well as metrological improvements to properly mount the crystals will also be discussed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.006
GPT teacher head0.227
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2010
Admission routes3
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced X-ray Imaging TechniquesFrench-language works237,207