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Record W2554154577 · doi:10.1139/cjp-2016-0372

Comparative study on performance and physical properties of CsI, NaI, RbI, and KBr materials

2016· article· en· W2554154577 on OpenAlexvenueno aff
N. Belameiri, A. Tebboune, Allel Mokaddem, Ahmed Sayed, Saim Asma, L. Temimi, Ahmed Hafid Belbachir

Bibliographic record

VenueCanadian Journal of Physics · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadiation Detection and Scintillator Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsScintillationPhotonLattice constantTinDetectorWork (physics)Range (aeronautics)Electronic structureElectronic band structureComputational physicsCondensed matter physicsOpticsThermodynamicsComposite materialMaterials scienceDiffraction

Abstract

fetched live from OpenAlex

In the present work we report the results of our investigation using the full potential linear muffin tin orbital method (FP-LMTO) to calculate the structural and electronic properties of NaI, KBr, RbI, and CsI materials, in particular, the lattice constant and bulk modulus. The electronic band structures are also studied and discussed. Our aim is to find the relationship between the physical properties of these materials and their efficiency for detection. For this, Geant4 simulation has been performed for studying the absolute and photopeak detection efficiencies for the different materials as scintillation detectors at several photon energies. The range of gamma ray energy was between 662 and 1332.5 keV. The measurement results are compared with the available theoretical and experimental data.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.206

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.240
Teacher spread0.210 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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