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Designing a High-Performance Quarter Waveplate for Improved Signal Quality in X-ray Magnetic Circular Dichroism Studies at EMA Beamline

2025· article· en· W4411063389 on OpenAlexaboutno aff
G S de Albuquerque, M Saveri Silva, R D Resck, Tiago Nunes Soares, J V E Matoso, JULIO FURTADO, Clara Sanches Bueno, J P I Astolfo

Bibliographic record

VenueJournal of Physics Conference Series · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicCrystallography and Radiation Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsBeamlineWaveplateCircular dichroismMagnetic circular dichroismOpticsX-ray magnetic circular dichroismCircular polarizationSIGNAL (programming language)Quality (philosophy)Quarter (Canadian coin)PhysicsComputer scienceChemistryCrystallographyAstronomyBeam (structure)HistorySpectral line

Abstract

fetched live from OpenAlex

Abstract X-ray Magnetic Circular Dichroism (XMCD) is a key technique for probing the magnetic properties of intricate materials, utilizing differences in absorption spectra of circularly polarized X-rays with opposite helicities from a magnetized sample. At the EMA beamline in Sirius, polarization control is achieved through quarter-wave plates, enabling changes in X-ray helicity at a rate of 10 Hz. This work proposes an instrumentation redesign to increase the frequency of X-ray polarization switching, optimizing the use of EMA’s high photon flux and improving XMCD signal quality. The new design aims to oscillate crystals up to 200 Hz, operate between 3 and 22 keV, follow the high dynamic double crystal monochromator fly-scan at 1 keV / s, accommodate six different crystal configurations, and maintain a vacuum level better than 10−8 mbar. This advance is expected to significantly enhance XMCD studies, particularly for samples with very low magnetization, and advance research within the synchrotron community by providing a versatile and high-performance tool for investigating magnetic properties.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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