Picosecond snapshot imaging of electric fields induced on a cone guide target designed for fast ignition scenario

Picosecond snapshot imaging of electric fields induced on a cone guide target designed for fast ignition scenario
复制标题

DOI:
10.1017/s0022377822000599
复制
发表时间:
2022-08
影响因子:
2.5
通讯作者:
Binghe Shi;A. Yogo;K. Okamoto;D. Golovin;S. R. Mirfayzi;A. Morace;Y. Arikawa;K. Yamanoi;Y. Abe;M. Murakami;Y. Gu;K. Mima;Y. Sentoku;M. Nakai;H. Nishimura;H. Shiraga;S. Fujioka;T. Johzaki;A. Iwamoto;H. Sakagami;R. Kodama
Binghe Shi;A. Yogo;K. Okamoto;D. Golovin;S. R. Mirfayzi;A. Morace;Y. Arikawa;K. Yamanoi;Y. Abe;M. Murakami;Y. Gu;K. Mima;Y. Sentoku;M. Nakai;H. Nishimura;H. Shiraga;S. Fujioka;T. Johzaki;A. Iwamoto;H. Sakagami;R. Kodama
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Binghe Shi;A. Yogo;K. Okamoto;D. Golovin;S. R. Mirfayzi;A. Morace;Y. Arikawa;K. Yamanoi;Y. Abe;M. Murakami;Y. Gu;K. Mima;Y. Sentoku;M. Nakai;H. Nishimura;H. Shiraga;S. Fujioka;T. Johzaki;A. Iwamoto;H. Sakagami;R. Kodama

文献摘要

相似文献

在本研究中,我们通过实验评估了在核聚变快燃场景中,离子通过锥形引导靶通过靶正常鞘层加速加速到MeV能量,并将它们输送到内爆燃料位置的离子输运过程。我们用质子射线照相技术测量了沿锥壁回流电流所产生的电场和磁场(EM-fields),并报告了在激光注入后30 ps的时间窗内主要产生的EM-fields。当磁场低于200 t时,电场的大小在13 ps左右达到最大,达到$4.0\ × 10^{10} \ mathm {V}\ \ mathm {m}^{-1}$,该方案提供了由于计算资源而难以用模拟处理的时域电磁场评估的见解。
In this study, we experimentally evaluate the ion transportation through a cone guide target, which accelerates ions up to MeV energies via target normal sheath acceleration, and transports them onto the position of imploding fuel in the fast ignition scenario of nuclear fusion. We measured the electric and magnetic fields (EM-fields) induced by return current streaming along the cone wall by proton radiography, and we report that the EM-fields are predominantly induced within a temporal window up to 30 ps after the laser injection. The magnitude of the electric field is maximized around 13 ps, reaching $4.0\times 10^{10} \mathrm {V}\ \mathrm {m}^{-1}$, when the magnetic field is below 200 T. The present scheme provides insights on the EM-fields evaluation in the time region that is difficult to treat with simulations due to the computing resources.