ePubs
The open archive for STFC research publications
Home
About ePubs
Content Policies
News
Help
Privacy/Cookies
Contact ePubs
Full Record Details
Persistent URL
http://purl.org/net/epubs/work/46397342
Record Status
Checked
Record Id
46397342
Title
Study of ultra-high gradient acceleration in carbon nanotube arrays
Contributors
J Resta-López (Cockcroft Inst.)
,
A Alexandrova (Cockcroft Inst.)
,
V Rodin (Cockcroft Inst.)
,
Y Wei (Cockcroft Inst.)
,
CP Welsch (Cockcroft Inst.)
,
Y Li
,
G Xia (Cockcroft Inst.)
,
Y Zhao
Abstract
Solid-state based wakefield acceleration of charged particles was previously proposed to obtain extremely high gradients on the order of 1 – 10 TeV/m. In recent years the possibility of using either metallic or carbon nanotube structures is attracting new attention. The use of carbon nanotubes would allow us to accelerate and channel particles overcoming many of the limitations of using natural crystals, e.g. channeling aperture restrictions and thermalmechanical robustness issues. In this paper, we propose a potential proof of concept experiment using carbon nanotube arrays, assuming the beam parameters and conditions of accelerator facilities already available, such as CLEAR at CERN and CLARA at Daresbury. The acceleration performance of carbon nanotube arrays is investigated by using a 2D Particle-In-Cell (PIC) model based on a multi-hollow plasma. Optimum experimental beam parameters and system layout are discussed.
Organisation
CI
Keywords
Funding Information
Related Research Object(s):
Licence Information:
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Paper In Conference Proceedings
In 9th International Particle Accelerator Conference (IPAC2018), Vancouver, Canada, 1 May 2018, (2018).
doi:10.18429/JACoW-IPAC2018-TUXGBE2
2018
Showing record 1 of 1
Recent Additions
Browse Organisations
Browse Journals/Series
Login to add & manage publications and access information for OA publishing
Username:
Password:
Useful Links
Chadwick & RAL Libraries
SHERPA FACT
SHERPA RoMEO
SHERPA JULIET
Journal Checker Tool
Google Scholar