MétaCan
Menu
Back to cohort
Record W2988256679 · doi:10.1063/1.5124401

Single shot high bandwidth laser plasma probe

2019· article· en· W2988256679 on OpenAlexafffund
Jan Ludwig, P. Michel, T. Chapman, M. A. Belyaev, W. Rozmus

Bibliographic record

VenuePhysics of Plasmas · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsUniversity of Alberta
FundersLawrence Livermore National LaboratoryCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsPhysicsPlasmaPlasma diagnosticsOpticsAtomic physicsLaserWavelengthBandwidth (computing)Refractive indexElectromagnetic electron waveDistribution functionComputational physicsElectromagnetic radiation

Abstract

fetched live from OpenAlex

A novel scheme to probe a plasma's ion acoustic resonances in single shot high-bandwidth pump-probe experiments is proposed. Our design utilizes concepts similar to smoothing by spectral dispersion; however, we propose a method of applying the bandwidth to the probe that avoids the effects of angular dispersion. Theoretical modeling and fluid simulations of the interaction are presented and compared. The results show the possibility of recovering a plasma's full complex index of refraction in a single shot pump-probe experiment. This wavelength dependent refractive index is directly related to the plasma's particle distribution function and can be used to recover plasma parameters including electron and ion temperatures, electron density, and plasma flow velocity.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.234
Teacher spread0.219 · 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

Citations6
Published2019
Admission routes2
Has abstractyes

Explore more

Same venuePhysics of PlasmasSame topicLaser-Plasma Interactions and DiagnosticsFrench-language works237,207