MétaCan
Menu
Back to cohort
Record W4393255372 · doi:10.1063/5.0180773

Experimental realization of near-critical-density laser wakefield acceleration: Efficient pointing 100-keV-class electron beam generation by microcapillary targets

2024· article· en· W4393255372 on OpenAlexaff
M. Mori, Ernesto Barraza-Valdez, H. Kotaki, Y. Hayashi, M. Kando, K. Kondo, Tetsuya Kawachi, D. Strickland, T. Tajima

Bibliographic record

VenueAIP Advances · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsUniversity of Waterloo
FundersJST-Mirai ProgramJapan Society for the Promotion of Science
KeywordsBeam divergencePhysicsLaserElectronCathode rayAtomic physicsBeam (structure)Laser beam qualityBeam parameter productRelativistic electron beamAccelerationBeam diameterParticle acceleratorOpticsNuclear physicsLaser beams

Abstract

fetched live from OpenAlex

We experimentally demonstrated the generation of a pointing stable, low-divergence, low-energy electron beam driven by near-critical-density laser wakefield acceleration using a moderate low-intensity laser pulse. Electron beams with a half-beam divergence angle of ∼30 mrad were generated at laser intensities of 4 × 1016–1 × 1018 W/cm2 from a microcapillary hole. The pointing fluctuation of the electron beam was 1.8 mrad (root-mean-square) at the maximum laser intensity of 1 × 1018 W/cm2. The energies of the electron beam were up to 400 keV at 1 × 1018 W/cm2 and 50 keV even at 1 × 1016 W/cm2. We confirmed that the peak energy of the hump or cutoff energy of the electron beams was reproduced in particle-in-cell simulation. Such low divergence electron beam generation at sub-relativistic intensity (1016 to 1017 W/cm2 order) will lead to various applications of laser-driven keV-class electron beams, such as advanced radiotherapy.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.544

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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAIP AdvancesSame topicLaser-Plasma Interactions and DiagnosticsFrench-language works237,207