English

Electron Acceleration in Carbon Nanotubes

Accelerator Physics 2025-02-12 v2

Abstract

Wakefield wavelengths associated with solid-state plasmas greatly limit the accelerating length. An alternative approach employs 2D carbon-based nanomaterials, like graphene or carbon nanotubes (CNTs), configured into structured targets. These nanostructures are designed with voids or low-density regions to effectively reduce the overall plasma density. This reduction enables the use of longer-wavelength lasers and also extends the plasma wavelength and the acceleration length. In this study, we present, to our knowledge, the first numerical demonstration of electron acceleration via self-injection into a wakefield bubble driven by an infrared laser pulse in structured CNT targets, similar to the behavior observed in gaseous plasmas for LWFA in the nonlinear (or bubble) regime. Using the PIConGPU code, bundles of CNTs are modeled in a 3D geometry as 25 nm-thick carbon tubes with an initial density of 102210^{22} cm3^{-3}. The carbon plasma is ionized by a three-cycle, 800 nm wavelength laser pulse with a peak intensity of 102110^{21} W cm2^{-2}, achieving an effective plasma density of 102010^{20} cm3^{-3}. The same laser also drives the wakefield bubble, responsible for the electron self-injection and acceleration. Simulation results indicate that fs-long electron bunches with hundreds of pC charge can be self-injected and accelerated at gradients exceeding 1~TeV//m. Both charge and accelerating gradient figures are unprecedented when compared with LWFA in gaseous plasma.

Keywords

Cite

@article{arxiv.2502.00183,
  title  = {Electron Acceleration in Carbon Nanotubes},
  author = {Cristian Bontoiu and Alexandre Bonatto and Öznur Apsimon and Laura Bandiera and Gianluca Cavoto and Illya Drebot and Giancarlo Gatti and Jorge Giner-Navarro and Bifeng Lei and Pablo Martín-Luna and Ilaria Rago and Juan Rodríguez Pérez and Bruno Silveira Nunes and Alexei Sytov and Constantinos Valagiannopoulos and Carsten P. Welsch and Guoxing Xia and Jiaqi Zhang and Javier Resta-López},
  journal= {arXiv preprint arXiv:2502.00183},
  year   = {2025}
}

Comments

11 pages, 8 figures

R2 v1 2026-06-28T21:28:36.286Z