TUPS054

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URL	https://doi.org/10.18429/JACoW-IPAC2025-TUPS054
Title	Optimization of a multichannel solid state plasma for laser wakefield acceleration with realistic laser parameters using a Bayesian algorithm
Authors	J. Rodríguez Pérez, J. Resta-Lopez, J. Giner Navarro Instituto Universitario de Ciencia de los Materiales A. Bonatto Universidade Federal de Ciências da Saúde de Porto Alegre B. Higuera Gonzalez University of Manchester C. Bontoiu University of Liverpool G. Xia Cockcroft Institute H. Aksakal Kahramanmaraş Sütçü İmam University P. Martín-Luna Instituto de Física Corpuscular
Abstract	Nanostructures based on carbon nanotube arrays are emerging as promising media for achieving ultra-high acceleration gradients in laser wakefield acceleration (LWFA). In this study, we design and optimize plasmas with hexagonal lattice structures, where the lattice parameters directly define the nanostructure's properties. Using WarpX, a state-of-the-art particle-in-cell (PIC) simulation framework, we conduct fully three-dimensional simulations to model the interaction between these advanced plasmas and laser pulses. To refine the lattice parameters, we apply Bayesian optimization through the Python library BoTorch, identifying optimal configurations for generating effective wakefields. These results are intended to guide preliminary simulations for future experiments at leading laser facilities, such as ELI and VEGA3, advancing the exploration of LWFA with nanostructured plasmas.
Paper	download: TUPS054.pdf
Cite	BibTeX, LaTeX, Text/Word, RIS, EndNote
Conference	16th International Particle Accelerator Conference
Series
Location	Taipei, Taiwan
Date	01-06 Jun 2025
Publisher	JACoW Publishing, Geneva, Switzerland
Editorial Board	* Ming-Chyuan Lin - National Synchrotron Radiation Research Center * Yoichi Sato - KEK * Jui-Che Huang - National Synchrotron Radiation Research Center * David Button - Australian Nuclear Science and Technology Organisation * Ping-Shun Chuang - National Synchrotron Radiation Research Center
Online ISBN	978-3-95450-248-6
Online ISSN	2673-5490
Received	16 May 2025
Revised	31 May 2025
Accepted	02 June 2025
Issued	05 November 2025
DOI	10.18429/JACoW-IPAC2025-TUPS054
Pages	1552-1555
Copyright	Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.