A cylindrical implosion platform for the study of highly magnetized plasmas at LMJ
G. P\'erez-Callejo, C. Vlachos, C. A. Walsh, R. Florido, M., Bailly-Grandvaux, X. Vaisseau, F. Suzuki-Vidal, C. McGuffey, F. N. Beg, P., Bradford, V. Ospina-Boh\'orquez, D. Batani, D. Raffestin, A. Cola\"itis, V., Tikhonchuk, A. Casner, M. Koenig, B. Albertazzi, R. Fedosejevs

TL;DR
This paper designs a cylindrical implosion platform at LMJ to study highly magnetized plasmas, demonstrating how laser-driven coil targets can generate and compress magnetic fields up to 25kT, significantly affecting plasma conditions.
Contribution
It introduces a novel experimental platform using laser-driven coils for magnetized implosions at LMJ, with detailed simulations and diagnostic strategies for observing magnetic field effects.
Findings
Initial B-field of 5T is compressed to 25kT during implosion.
Electron temperature increases from 1keV to 5keV under strong magnetization.
Plasma density decreases from 40gcc to 7gcc with magnetic compression.
Abstract
Investigating the potential benefits of the use of magnetic fields in Inertial Confinement Fusion (ICF) experiments has given rise to new experimental platforms like the Magnetized Liner Inertial Fusion (MagLIF) approach at the Z-machine (Sandia National Laboratories), or its laser-driven equivalent at OMEGA (Laboratory for Laser Energetics). Implementing these platforms at MJ-scale laser facilities, such as the Laser MegaJoule (LMJ) or the National Ignition Facility (NIF), is crucial to reaching self-sustained nuclear fusion and enlarges the level of magnetization that can be achieved through a higher compression. In this paper, we present a complete design of an experimental platform for magnetized implosions using cylindrical targets at LMJ. A seed magnetic field is generated along the axis of the cylinder using laser-driven coil targets, minimizing debris and increasing diagnostic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
