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Record W4396692745 · doi:10.1103/physreve.109.055203

Filamentation of a relativistic proton bunch in plasma

2024· article· en· W4396692745 on OpenAlexafffund
L. Verra, C. Amoedo, N. Torrado, A. Clairembaud, J. Mezger, F. N. Pannell, J. Pucek, N. van Gils, M. Bergamaschi, G. Zevi Della Porta, N. Lopes, A. Sublet, M. Turner, Y. Kadi, P. Muggli, R. Agnello, C. Ahdida, Y. Andrèbe, Ö. Apsimon, R. Apsimon, J. M. Arnesano, Vittorio Bencini, P. Blanchard, Philip Burrows, B. Buttenschön, A. Caldwell, М. Chung, D. Cooke, C. Davut, G. Demeter, A. Dexter, S. Doebert, John Farmer, A. Fasoli, Ricardo Fonseca, I. Furno, E. Granados, M. Granetzny, Tim Graubner, O. Grulke, E. Guran, James R. Henderson, M. Á. Kedves, Florian Kraus, M. Krupa, T. Lefèvre, Linbo Liang, S. Liu, К. В. Лотов, Miguel Martínez-Calderón, S. Mazzoni, K. Moon, P. I. Morales Guzmán, M. Moreira, T. Nechaeva, N. V. Okhotnikov, C. Pakuza, A. Pardons, K. Pépitone, E. Poimendidou, A. Pukhov, Rebecca Ramjiawan, L. Ranc, S. Rey, R. E. Rossel, H. Saberi, O. Schmitz, E. Senes, J. Fernando Silva, L. O. Silva, Brian Spear, C. Stollberg, C. Swain, A. Topaloudis, П. В. Туев, Francesco Velotti, V. Verzilov, J. Vieira, Erwin Walter, Carsten Welsch, M. Wendt, M. Wing, Joseph Wolfenden, Benjamin Woolley, Guoxing Xia, V. Yarygova, M. Zepp

Bibliographic record

VenuePhysical review. E · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLaser-Plasma Interactions and Diagnostics
Canadian institutionsTRIUMF
FundersFundação para a Ciência e a TecnologiaNational Research Foundation of KoreaNational Research FoundationCERNTRIUMFDeutsches Elektronen-SynchrotronScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaCockcroft InstituteNational Science Foundation
KeywordsFilamentationPlasmaProtonPhysicsNuclear physicsAtomic physicsQuantum electrodynamics

Abstract

fetched live from OpenAlex

We show in experiments that a long, underdense, relativistic proton bunch propagating in plasma undergoes the oblique instability, which we observe as filamentation. We determine a threshold value for the ratio between the bunch transverse size and plasma skin depth for the instability to occur. At the threshold, the outcome of the experiment alternates between filamentation and self-modulation instability (evidenced by longitudinal modulation into microbunches). Time-resolved images of the bunch density distribution reveal that filamentation grows to an observable level late along the bunch, confirming the spatiotemporal nature of the instability. We provide a rough estimate of the amplitude of the magnetic field generated in the plasma by the instability and show that the associated magnetic energy increases with plasma density.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.349
Teacher spread0.333 · 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 designSimulation or modeling
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

Citations12
Published2024
Admission routes2
Has abstractyes

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