4.4 Article

Field reconstruction from proton radiography of intense laser driven magnetic reconnection

Journal

PHYSICS OF PLASMAS
Volume 26, Issue 8, Pages -

Publisher

AIP Publishing
DOI: 10.1063/1.5092733

Keywords

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Funding

  1. National Science Foundation [1751462]
  2. STFC Cockcroft Institute Core Grant [ST/G008248/1]
  3. Department of Energy National Nuclear Security Administration [DE-NA0002727]
  4. AWE plc.
  5. Engineering and Physical Sciences Research Council of the United Kingdom [EP/M022331/1, EP/N014472/1]
  6. EPSRC [EP/R034737/1, EP/N014472/1, EP/P026796/1, EP/M022331/1] Funding Source: UKRI
  7. STFC [ST/P002056/1, ST/G008248/1] Funding Source: UKRI

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Magnetic reconnection is a process that contributes significantly to plasma dynamics and energy transfer in a wide range of plasma and magnetic field regimes, including inertial confinement fusion experiments, stellar coronae, and compact, highly magnetized objects like neutron stars. Laboratory experiments in different regimes can help refine, expand, and test the applicability of theoretical models to describe reconnection. Laser-plasma experiments exploring magnetic reconnection at a moderate intensity (I-L similar to 10(14) W cm(-2)) have been performed previously, where the Biermann battery effect self-generates magnetic fields and the field dynamics studied using proton radiography. At high laser intensities ( IL lambda L2>1018Wcm-2 mu m2), relativistic surface currents and the time-varying electric sheath fields generate the azimuthal magnetic fields. Numerical modeling of these intensities has shown the conditions that within the magnetic field region can reach the threshold where the magnetic energy can exceed the rest mass energy such that sigma(cold)=B-2/(mu(0)n(e)m(e)c(2)) > 1 [A. E. Raymond et al., Phys. Rev. E 98, 043207 (2018)]. Presented here is the analysis of the proton radiography of a high-intensity (similar to 10(18) W cm(-2)) laser driven magnetic reconnection geometry. The path integrated magnetic fields are recovered using a field-reconstruction algorithm to quantify the field strengths, geometry, and evolution.

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