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Performance of the HERMES beamline at the carbon K-edge

2017· article· en· W2626868107 on OpenAlex
Sufal Swaraj, Rachid Belkhou, Stefan Stanescu, Maxime Rioult, Adrien Besson, Adam P. Hitchcock

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Physics Conference Series · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBeamlineCarbon fibersOpticsSynchrotron radiationMaterials scienceSpectroscopyAbsorption (acoustics)Enhanced Data Rates for GSM EvolutionSynchrotronAnalytical Chemistry (journal)ChemistryPhysicsBeam (structure)Computer scienceChromatographyComposite material

Abstract

fetched live from OpenAlex

Contamination of soft X-rays beamline optics due to carbon cracking and deposition under X- ray irradiation is especially critical for spectromicroscopy operations near the carbon K-absorption edge from organic materials, polymers and nanoparticles. In this paper we present the strategy and procedure followed on the HERMES beamline (Synchrotron SOLEIL) to minimize carbon contamination of the beamline optics. Measurements on a complex organic test sample are reported to demonstrate the performance of the beamline at the carbon K-edge in imaging, spectroscopy and spectromicroscopy modes.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.732
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.247
Teacher spread0.233 · 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