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Record W4281289021 · doi:10.5539/jmsr.v11n1p85

New Interferometric Method and Device for Measuring the X-Ray Train Length

2022· article· en· W4281289021 on OpenAlexvenueno aff
H. R. Drmeyan, S.A. Mkhitaryan

Bibliographic record

VenueJournal of Materials Science Research · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced X-ray Imaging Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsInterferometryInterference (communication)OpticsLength measurementPath lengthOptical path lengthX-rayRadiationPhysicsPath (computing)Materials scienceMagnitude (astronomy)Computer scienceTelecommunicationsAstrophysicsChannel (broadcasting)

Abstract

fetched live from OpenAlex

A new interferometric method for measuring the length of the X-ray train is proposed, and a special interferometer, a device for measurement of the X-ray train length has been developed, created, and tested. The length of the X-ray train and the duration of coherent radiation are estimated and it has been proven that the interference pattern disappears when the difference of paths between the superimposing waves becomes greater than the length of the coherent X-ray train. The bound of a disappearance of the X-ray interference pattern is determined depending on the magnitude of the path differences. The length of the X-ray train is determined, which is close to the theoretically determined value.

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 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)0.020
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.131
GPT teacher head0.453
Teacher spread0.321 · 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 teacher head, 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

Citations1
Published2022
Admission routes1
Has abstractyes

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