Journal Article

FZJ-2015-04833

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preferential enhancement of laser-driven carbon ion acceleration from optimized nanostructured surfaces

Dalui, M. (Corresponding author) ; Wang, W.-M.FZJ* ; Trivikram, T. M. ; Sarkar, S. ; Tata, S. ; Jha, J. ; Ayyub, P. ; Sheng, Z. M. ; Krishnamurthy, M.

2015
Nature Publishing Group London

This record in other databases:      

Please use a persistent id in citations: http://hdl.handle.net/2128/8959  doi:10.1038/srep11930

Abstract: High-intensity ultrashort laser pulses focusedon metal targets readily generate hot dense plasmas which accelerate ions efficiently and can pave way to compact table-top accelerators. Laser-driven ion acceleration studies predominantly focus on protons, which experience the maximum acceleration owing to their highest charge-to-mass ratio. Thepossibility oftailoringsuch schemesfor the preferentialacceleration of a particular ion species is very much desired but has hardly been explored. Here, we present an experimental demonstration of howthenanostructuring of a copper target can be optimized for enhanced carbon ion acceleration over protons or Cu-ions. Specifically, a thin (≈ 0.25 µm) layer of 25-30 nm diameter Cu nanoparticles, sputter-deposited on a polished Cu-substrate, enhances the carbon ion energy almost10-fold at a laser intensity of 1.2×10^18 W/cm2. However, particles smaller than 20 nm have an adverse effect on the ion acceleration. Particle-in-cell simulations provide definite pointers regarding the size of nanoparticles necessary for maximizing the ion acceleration.The inherent contrast of the laser pulse is found to play an important role in the species selective ion acceleration.

---

Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2015

---

Database coverage:
; ; ; ; BIOSIS Previews ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection ; Zoological Record

---