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Record W4383535913 · doi:10.21203/rs.3.rs-3034760/v1

Investigation on the origin of hot electrons in laser plasma interaction at shock ignition intensities

2023· preprint· en· W4383535913 on OpenAlexaff
G. Cristoforetti, F. Baffigi, D. Batani, R. Dudžák, R. Fedosejevs, E. Filippov, P Gajdoš, L. Juha, M. Khan, P. Koester, M. Krůs, D. Mancelli, A. S. Martynenko, Ph. Nicolaï, С. А. Пикуз, O. Renner, A. Tentori, L. Volpe, N. C. Woolsey, G. Zeraouli, L. A. Gizzi

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldEngineering
TopicLaser-induced spectroscopy and plasma
Canadian institutionsUniversity of Alberta
FundersEuratom Research and Training ProgrammeEuropean CommissionEUROfusionEngineering and Physical Sciences Research CouncilLaserlab-Europe
KeywordsPlasmaInertial confinement fusionLaserAtomic physicsIgnition systemShock (circulatory)Shock wavePlasma channelMaterials scienceElectronPhysicsOpticsMechanicsNuclear physicsThermodynamics

Abstract

fetched live from OpenAlex

Abstract Shock Ignition is a two-step scheme to reach Inertial Confinement Fusion, where the precompressed fuel capsule is ignited by a strong shock driven by an intense laser pulse at intensity ∼ 10 16 W/cm 2 . In this report we detail the results of an experiment designed to investigate the origin of hot electrons (HE) in laser-plasma interaction at intensities and plasma temperatures expected for Shock Ignition. A detailed time- and spectrally-resolved characterization of Stimulated Raman Scattering (SRS) and Two Plasmon Decay (TPD) instabilities, as well as of the generated HE, suggest that SRS is the dominant source of HE via the damping of daughter plasma waves. The temperature dependence of laser plasma instabilities was also investigated, enabled by the use of different ablator materials, suggesting that TPD is damped at earlier times for higher plasma temperatures, due to the Landau damping effect. The identification of the predominant HE source and the effect of plasma temperature on laser plasma interaction, here investigated, are extremely useful for developing the mitigation strategies for reducing the impact of HE on the fuel ignition.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
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 score0.564
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.148
GPT teacher head0.354
Teacher spread0.206 · 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.

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
Published2023
Admission routes1
Has abstractyes

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