MétaCan
Menu
Back to cohort
Record W4388189453 · doi:10.1585/pfr.18.2401087

Increased Relative Velocity due to Enhanced Magnetic Pressure Gradient for the Collision Experiment of High-Beta Plasmoids

2023· article· en· W4388189453 on OpenAlexaff
T. Seki, D. Kobayashi, Tomohiko Asai, Tsutomu Takahashi, Jordan Morelli

Bibliographic record

VenuePlasma and Fusion Research · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsQueen's University
FundersJapan Society for the Promotion of ScienceNihon University
KeywordsPlasmoidRelative velocityBETA (programming language)PhysicsPressure gradientCollisionMagnetic fieldRange (aeronautics)MechanicsPlasmaAtomic physicsComputational physicsMaterials scienceMagnetic reconnectionNuclear physicsClassical mechanics

Abstract

fetched live from OpenAlex

The FAT-CM device at Nihon University has been modified to expand the experimental relative velocity range of the collisional merging of high-beta plasmoids. This experiment focuses on the ensuing collisionless shockwave that is generated. The relative velocity was increased by making modifications to enhance the magnetic pressure gradient at the exit from the formation regions of the device. The purpose of this modification is to increase the relative velocity up to ∼1000 km/s at the collision of the plasmoids. This is selected to be comparable to the expansion speed of a supernova remnant that generates collisionless shocks. To generate collisionless shocks, the high-temperature and low density plasmoid generation technique is also required. After the modification, the relative velocity is nearly doubled, reaching up to 600 km/s by increasing the magnetic pressure gradient and reducing the mass of the plasmoid. The mean free path became longer than the length of a plasmoid due to increased ion temperature. The experimental range of the FAT-CM device has been expanded to the collisionless region successfully.

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 categoriesInsufficient payload (model declined to judge)
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 score0.589
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.032
GPT teacher head0.320
Teacher spread0.288 · 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

Explore more

Same venuePlasma and Fusion ResearchSame topicMagnetic confinement fusion researchFrench-language works237,207