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Record W1967010593 · doi:10.1139/cjp-2014-0684

Measurement of anomalous scattering factors of tin using characteristic X-ray photons

2015· article· en· W1967010593 on OpenAlexvenueno aff
Krishnananda, Santosh Mirji, S. Babu, K.M. Niranjana, N. M. Badiger

Bibliographic record

VenueCanadian Journal of Physics · 2015
Typearticle
Languageen
FieldMaterials Science
TopicRadiation Shielding Materials Analysis
Canadian institutionsnot available
FundersUniversity Grants Commission
KeywordsPhysicsPhotoelectric effectPhotonScatteringAtomic physicsAnomalous scatteringShell (structure)Photon energySynchrotronTinFOIL methodX-raySynchrotron radiationCompton scatteringNuclear physicsOptics

Abstract

fetched live from OpenAlex

The imaginary and real parts of anomalous scattering factors of Sn atoms around the K shell binding energy are measured using K and L X-ray photons. Gamma photons of energy 59.54 keV from an Am-241 radioactive source are used to excite K and L X-ray photons of various energies. By measuring the intensities of incident and transmitted X-ray photons in Sn foil with a good geometry arrangement, the K shell photoelectric cross sections are determined around the K shell binding energy of Sn. The real and imaginary parts of anomalous scattering factors of Sn are determined from K shell photoelectric cross section values. Experimentally determined form factors are compared with the theoretical prediction and experimental data obtained with synchrotron source.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.074
GPT teacher head0.254
Teacher spread0.180 · 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
Published2015
Admission routes1
Has abstractyes

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