Laser pulse compression by a density gradient plasma for exawatt to zettawatt lasers

Author:

Hur Min SupORCID,Ersfeld BernhardORCID,Lee HyojeongORCID,Kim HyunsukORCID,Roh Kyungmin,Lee YunkyuORCID,Song Hyung SeonORCID,Kumar ManojORCID,Yoffe SamuelORCID,Jaroszynski Dino A.,Suk HyyongORCID

Abstract

AbstractWe propose a new method of compressing laser pulses to ultrahigh powers based on spatially varying dispersion of an inhomogeneous plasma. Here, compression is achieved when a long, negatively frequency-chirped laser pulse reflects off the density ramp of an over-dense plasma slab. As the density increases longitudinally, high-frequency photons at the leading part of the laser pulse penetrate more deeply into the plasma region than lower-frequency photons, resulting in pulse compression in a similar way to that by a chirped mirror. Proof-of-principle simulations performed using particle-in-cell simulation codes predict compression of a 2.35 ps laser pulse to 10.3 fs—a ratio of 225. As plasma is robust and resistant to damage at high intensities—unlike solid-state gratings commonly used in chirped-pulse amplification—the method could be used as a compressor to reach exawatt or zettawatt peak powers.

Funder

EC | Horizon 2020 Framework Programme

RCUK | STFC | Central Laser Facility, Science and Technology Facilities Council

RCUK | Engineering and Physical Sciences Research Council

Korea Institute for Advancement of Technology

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3