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Recent progress of laboratory astrophysics with intense lasers

Published online by Cambridge University Press:  14 July 2021

Hideaki Takabe*
Affiliation:
School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan Institute of Laser Engineering, Osaka University, Suita, Osaka 565-0871, Japan Institute of Radiation Physics, Helmholtz Zentrum Dresden Rossendorf, 01328 Dresden, Germany
Yasuhiro Kuramitsu
Affiliation:
School of Engineering, Osaka University, Suita, Osaka 565-0871, Japan Institute of Laser Engineering, Osaka University, Suita, Osaka 565-0871, Japan
*
Correspondence to: H. Takabe, Institute of Laser Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan. Email: takabe@eie.eng.osaka-u.ac.jp

Abstract

Thanks to a rapid progress of high-power lasers since the birth of laser by T. H. Maiman in 1960, intense lasers have been developed mainly for studying the scientific feasibility of laser fusion. Inertial confinement fusion with an intense laser has attracted attention as a new future energy source after two oil crises in the 1970s and 1980s. From the beginning, the most challenging physics is known to be the hydrodynamic instability to realize the spherical implosion to achieve more than 1000 times the solid density. Many studies have been performed theoretically and experimentally on the hydrodynamic instability and resultant turbulent mixing of compressible fluids. During such activities in the laboratory, the explosion of supernova SN1987A was observed in the sky on 23 February 1987. The X-ray satellites have revealed that the hydrodynamic instability is a key issue to understand the physics of supernova explosion. After collaboration between laser plasma researchers and astrophysicists, the laboratory astrophysics with intense lasers was proposed and promoted around the end of the 1990s. The original subject was mainly related to hydrodynamic instabilities. However, after two decades of laboratory astrophysics research, we can now find a diversity of research topics. It has been demonstrated theoretically and experimentally that a variety of nonlinear physics of collisionless plasmas can be studied in laser ablation plasmas in the last decade. In the present paper, we shed light on the recent 10 topics studied intensively in laboratory experiments. A brief review is given by citing recent papers. Then, modeling cosmic-ray acceleration with lasers is reviewed in a following session as a special topic to be the future main topic in laboratory astrophysics research.

Information

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press in association with Chinese Laser Press
Figure 0

Figure 1 The experimental neutron yield of deuterium–tritium (DT) fuel implosion per 10 kJ laser energy is indicated with solid circles. The neutron yields obtained with one-dimensional implosion simulations are shown with $\boxplus$ marks, where the values are the corresponding neutron yield for all solid circle experimental data. The other three data sources are obtained by including the $k-\unicode{x3b5}$ type turbulent mixing model in the one-dimensional implosion code in the final stagnation phase. This indicates how the turbulent mixing is serious in the final stagnation phase through which the kinetic energy of imploding fluid is converted into the thermal energy of DT plasma[2].

Figure 1

Figure 2 The time evolution of hard X-ray emission flux as a function of the day after the supernova SN1987A explosion. The observation data are plotted with solid circles with error bars. The time history predicted by one-dimensional supernova simulation is shown with a dashed line. It is clear that the signals came earlier by 150 days than the prediction. Such a long-time appearance of the X-ray was modeled with artificial uniform mixing and mixing with a clumpy structure: long-wavelength deformation. It is concluded that the clumpy mixing could explain the explosion hydrodynamics. This is the serious start for supernova physics to include three-dimensional effect as a standard model. It is noted that the hard X-rays at 18–26 keV are generated after the Comptonization of the gamma-rays generated by nuclear decay of created Ni in the central region of the supernova[9].

Figure 2

Figure 3 The four steps of laboratory astrophysics are described. The physics in both the laser plasma and astrophysical plasma is connected in general with help of computer simulation.

Figure 3

Figure 4 The cover of the journal ‘BUTSURI’ in Japanese, indicating the image of laboratory astrophysics. The top-left figure is a two-dimensional hydrodynamic simulation of the SN1087A explosion with the initial condition of the most plausible progenitor. Hydrodynamic instability and mixing are suggested. The top-right and bottom are the density and temperature profiles from two-dimensional hydrodynamic simulation near the time of maximum compression of the final stage of the implosion experiment with a Gekko XII laser system.

Figure 4

Figure 5 Three-dimensional simulation of supernova explosion. The green surface is the surface of a shock wave propagating outward[13].

Figure 5

Figure 6 Two lasers are irradiated to generate two magnetic fields to drive magnetic reconnection[22].

Figure 6

Figure 7 Proton backlight images and reconstructed magnetic field structures[24].

Figure 7

Figure 8 Result of a PIC simulation of laser-driven magnetic reconnection phenomenon. The trajectories of electrons accelerated in the reconnection zone are plotted with color, where the red shows higher energy of accelerated electrons[27].

Figure 8

Figure 9 Proton backlight image of the magnetic field generated by Rayleigh–Taylor instability of a foil accelerated by laser ablation[35].

Figure 9

Figure 10 Magnetic turbulence experiment driven by the Biermann battery effect in two colliding jets. Black is by Schlieren image[33].

Figure 10

Figure 11 Power spectrum of the magnetic field spatial profiles measured at different pump-probe delays. The inset shows the power spectra derived from two-dimensional PIC simulations[37].

Figure 11

Figure 12 Schematics for modeling astrophysical shock and counter streaming plasmas. The black layer is the shock front. The green arrow shows the velocity of shock front and the red is the flow in the compressed region by the shock wave. In the frame moving with the shock front, the flow velocities of the front and behind are shown as red arrows. The counter-streaming plasmas can model such shock wave formation in both sides of the plasmas. Laser ablation plasma is used to model the counter streaming plasma situation.

Figure 12

Figure 13 A snapshot of density, current density and magnetic field strength from a two-dimensional PIC simulation at the time when the shock wave region with filamentary structure is formed around the center of the figures. The density profile averaged in the y-direction clearly shows the density change with the thickness of about 100–200 in the x-direction[42,43].

Figure 13

Figure 14 Schematics of the cut view of the nonlinear stage of Weibel instability. The collisionless plasma flows perpendicularly to the figure surface. In the nonlinear phase of Weibel instability, current filaments are produced as in (a). Then, Lorentz force between the current and induced magnetic field works as shown in (a). If the purple circle is the current channel from the top to bottom direction of the figure, the force shown with red is attractive force, whereas the force with a channel with the opposite directional current in green is repulsive. As a result, the filaments become larger by reconnection in a later time as shown in (b).

Figure 14

Figure 15 Time evolution of measured and computational size of filaments in the nonlinear phase of Weibel instability in the counter-streaming plasma. It is found that the average size of filaments increases in proportion to time with an effective speed of the value shown.

Figure 15

Figure 16 Demonstration of the nonthermal high-energy electrons produced experimentally in the counter-streaming ablation plasma flow as shown with two red lines in (a), whereas far fewer high-energy electrons are measured in the case of single flow. This is indirect proof of the formation of collisionless shock and particle acceleration, which is obtained in two-dimensional PIC simulation as shown in (b)[46].

Figure 16

Figure 17 PIC simulations of the counter-streaming of relativistic pair plasmas for laser-driven laboratory parameters. Magnetic field structure and transversely averaged density profile (inset). The formation of a shock with near-future laser systems: (a) 7 kJ; (b) 22 kJ[49].

Figure 17

Figure 18 The observation data of energy spectra of cosmic rays updated on December 2020. All results obtained in 19 observatories worldwide are plotted with different colors. Most of the cosmic rays are protons and it is clear that all data has the same power law below the knee and the ankle. The power law shows some nonthermal acceleration physics in the universe. The collision energy of the largest accelerator LHC is also indicated as a reference[52].

Figure 18

Figure 19 Image of AGN jets from the central massive blackhole [from Wikipedia].

Figure 19

Figure 20 Electron distribution functions obtained from the linear combination of nonlocal and local diffusion models[55]. In the heating model, the blue line case is obtained with 100% nonlocal heating, whereas the orange line is for 10% nonlocal and green is for 1% nonlocal heating.

Figure 20

Figure 21 Electron distribution function obtained in the LFEX experiment at Osaka (courtesy of S. Kojima)[56].

Figure 21

Figure 22 Experimental data (blue with error bars) of positron numbers. Others are computational results or models[49].

Figure 22

Figure 23 Structured targets result in a dramatic increase in the number and temperature of hot electrons[62].

Figure 23

Figure 24 Artistic picture of EOS experiment with irradiation of many laser beams (courtesy of LLNL).

Figure 24

Figure 25 Phase diagram of hydrogen around the solid state. The marks are experimental data to explore the metallic hydrogen[74].

Figure 25

Figure 26 Shock Hugoniot curves from different initial densities[75].

Figure 26

Figure 27 Opacity experiment: (a) a configuration of the experiment and (b) the resultant opacity spectrum of the experiment (black) and code (red)[71].

Figure 27

Figure 28 A compact binary system. Strong X-ray from the accretion disc photoionizes the surface of a huge normal star[80].

Figure 28

Figure 29 Time evolution of radio emission after the explosion of SN1993J[94].

Figure 29

Figure 30 A micro shock tube with X-ray backlight diagnostics in a multibeam laser facility. Richtmyer–Meshkov instability growth is measured on the right by X-ray exposure[101].

Figure 30

Figure 31 Time evolution of the neutrino-driven explosion of a 15M star as obtained in a multidimensional hydrodynamic simulation, visualized by a mass-shell plot. The star collapses at t = 0 to generate a shock wave. The shock is powered by neutrino heating[108].

Figure 31

Figure 32 A three-dimensional explosion simulation at about 0.5 s after the core ignited. The bluish, almost transparent surface is the shock front with an average radius of 1900 km (MPA)[108].

Figure 32

Figure 33 DT neutron yield versus measured X-ray enhancement ratio for the layered low-foot (blue) and high-foot (green) laser implosions with NIF[109].

Figure 33

Figure 34 The spatial transitions of physical quantities are plotted: from top to bottom, the $x$- and $y$-components of ion velocity, the $x$- and $y$-components of electron velocity, the $x$-component of electric field corresponding to the wakefield, and the $z$-component of magnetic field corresponding to the light precursor waves[119].

Figure 34

Figure 35 Relativistic perpendicular collisionless shock in a pair plasma: from top to bottom, electron density (${N}_{\mathrm{e}}$), the electron density averaged over $y$ direction ($\langle{N}_{\mathrm{e}}\rangle$), the $z$ component of magnetic field corresponding to the precursor waves (${B}_z$), the line profile of ${B}_z,$ the $x$ component of electric field averaged over $y$ direction corresponding to the wakefield $\left(\langle{E}_x\rangle\right)$, and the $x$ and $y$ components of electron velocity. The shock front is located at $x\sim 280$[124].

Figure 35

Figure 36 Relativistic perpendicular collisionless shock in an electron–ion plasma: from top to bottom, the $z$ component of the magnetic field corresponding to the precursor waves (${B}_z$), the line profile of ${B}_z$, the $x$ component of the electric field corresponding to the wakefield (${E}_x$), the averaged ${E}_x$ over $y$ direction ($\langle{E}_x\rangle$), and the $x$ components of electron and ion velocities. The shock front is located at $x\sim 1100$[57].

Figure 36

Figure 37 The precursor wave energies are plotted in terms of the magnetization parameter from various simulation runs[57].

Figure 37

Figure 38 Energy spectra of electrons in the upstream rest frame shown in both logarithmic scales[57].

Figure 38

Figure 39 Wakefield acceleration due to an intense laser pulse with large spatial scale in a plasma: (a)–(c) the laser electric field, (d)–(f) the electron number density, and (g)–(i) the wakefield are shown in two-dimensional space; (j)–(l) the electron momenta in the direction parallel to the laser propagation ($x$) ${p}_x$ are shown in terms of $x$; (m)–(o) the energy distribution functions of electrons are plotted in both logarithmic scales. The time passes from left to right panels[120].

Figure 39

Figure 40 Electron energy distribution functions show power-law spectra with an index of –2 independent of (a) the normalized vector potential, (b) frequency ratio between plasma and laser frequency, and (c) the pulse shape[129].

Figure 40

Figure 41 (a) Schematic of the experimental setup. (b) Energy distribution functions obtained from the experiment[132].

Figure 41

Figure 42 Professor Marshall Rosenbluth[145].

Figure 42

Figure 43 My research strategy to aim at fusion energy in 1998. This is shown at the stage chaired by Rosenbluth.

Figure 43

Figure 44 The City of Prague and the Vltava river.