Abstract
Recent progress in generating high-energy (>50 MeV) protons from intense laser–matter interactions (1018–1021 W cm−2; refs 1, 2, 3, 4, 5, 6, 7) has opened up new areas of research, with applications in radiography8, oncology9, astrophysics10, medical imaging11, high-energy-density physics12,13,14, and ion-proton beam fast ignition15,16,17,18,19. With the discovery of proton focusing with curved surfaces20,21, rapid advances in these areas will be driven by improved focusing technologies. Here we report on the first investigation of the generation and focusing of a proton beam using a cone-shaped target. We clearly show that the focusing is strongly affected by the electric fields in the beam in both open and enclosed (cone) geometries, bending the trajectories near the axis. Also in the cone geometry, a sheath electric field effectively ‘channels’ the proton beam through the cone tip, substantially improving the beam focusing properties. These results agree well with particle simulations and provide the physics basis for many future applications.
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The ability to generate high-intensity well-focused proton beams will potentially open the door to new regimes in high-energy-density science as well as enabling a broad range of new applications. For example, an intense multi-MeV proton beam incident on solid density or compressed material can create terapascal pressures, allowing the study of the properties of warm dense matter found in the interior of giant planets such as Jupiter10. Laser-produced proton beams are also making an impact on medical applications such as isotope production11 for positron emission tomography (PET) and proton oncology9. Furthermore, energetic proton/ion beams are used to produce highly directional neutrons for applications in medicine, material science, and neutron resonance spectroscopy13,14. In the inertial fusion ‘fast ignition’ (FI) concept19, an intense laser generates a pulse of charged particles that ignites deuterium–tritium (DT) fuel compressed to ≈300 g cm−3. Although much recent work has investigated relativistic electrons as the ignitor22, proton beams, unlike intrinsically divergent electron beams, could be focused on the ignition spot and provide direct energy transport to the fuel.
In the conceptual proton FI scheme17, the proton source foil consists of a partial spherical shell placed near the end of a hollow cone which is attached to the side of a radiation cavity (hohlraum). This geometry shields the source foil from intense soft X-ray radiation generated within the hohlraum during the compression. The new work reported here builds on the proof-of-concept demonstrations of cone-in-shell compression23 without a hohlraum, where the cone acts both as a guide for the ignitor beam as well as a shield. The properties of the proton beam in this particular geometry require careful examination, especially as the viability of proton FI requires both focusing at the compressed fuel between 20 and 40 μm (refs 16, 18), depending on the model, and a conversion efficiency of ≈15% from petawatt laser pulse energy to proton beam energy9,18. Studies have shown efficiencies approaching the requirement for FI (refs 6, 7, 24) and proton focusing from an open geometry curved foil has been demonstrated by laser irradiation of hemispherical Al shells20,21. Control of divergent proton beams in flat-foil experiments has been shown using electrostatic fields when the beams pass through charged secondary25 or attached26 structures, and better control of the beam divergence has recently been reported in a cylindrical thick-foil geometry27. Here we present the first demonstration of the generation and focusing of a proton beam in a FI geometry, where the beam is generated from a curved focusing surface, which propagates and is channelled via surface fields through an enclosed cone structure, similar to that envisioned for FI targets23. The strong radial electric field from the hot-electron pressure in the proton beam and its interaction with the surrounding protective structure is shown to be critical in determining the beam dynamics near focus. This effect has not been observed previously with a non-focusing (flat-foil) source geometry and is key to understanding the curved proton trajectories in this compact proton focusing device.
Experiments were conducted on the TRIDENT subpicosecond laser at Los Alamos National Laboratory28. The proton beam was generated by irradiating a partial spherical shell of high-density carbon attached to a 60° cone or cylinder structure (Fig. 1). A thin adsorbed layer of hydrocarbons on the foil surface29 provided the source of the protons. Partial and full freestanding hemispherical shell targets were also included for comparison.
The focusing characteristics of the beam were determined by imaging the protons through a Cu mesh and recording the mesh pattern on a stack of radiochromic film (RCF; Fig. 1). Each layer of film responds to a narrow range of proton energies at the Bragg peak, which is determined by stopping powers and the film composition30. A three-dimensional (3D) ray tracing technique projects back the shadow of the mesh on the RCF through the original mesh, forming a bundle of converging rays. The minimum diameter D80, defined as the diameter encompassing 80% of the rays, is calculated for each type of target (Fig. 2a). A common feature is that D80 decreases with increased proton energy. Of note, the D80 is ≈50% smaller for the cone and cylinder targets than for the freestanding partial and full hemispheres.
The magnification of the mesh image on the RCF pack is used to infer a focal position of the beam. For the cone target this position is located furthest from the source foil, near z=300 μm (z=0 is the apex of the hemisphere), whereas for the other geometries it lies within the spherical radius of curvature, near z=100 μm (Fig. 2b). To understand these results, simulations were performed to track the particle trajectories and the evolution of the beam through the surrounding structure.
The generated proton beam was simulated using the hybrid particle-in-cell code LSP (ref. 31). The trajectories for a group of test particles that originate along the target surface at different radial positions are shown in Fig. 3. In both geometries, the majority of test protons initially accelerate normal to the surface towards the geometric centre at z=300 μm, which is consistent with the ‘target normal sheath acceleration’ (TNSA) model1,3, where the hot electrons generated from the intense laser–matter interaction create an accelerating sheath electric field normal to the surface. After the initial acceleration, the proton trajectories do not continue in a straight line, but tend to bend away from the axis.
Further analysis of the proton simulation particles (Nprotons≈8×106) allows a detailed comparison with the data. The protons reach their final asymptotic velocities (that is, become ballistic) at late times (≈18 ps). Those trajectories are then geometrically projected back to construct a D80 diameter, analogous to the ray tracing technique applied to the RCF data. Results are compared in Fig. 4a for the freestanding target, showing similar minimum values and D80(z) profiles. Results for the cone case (not shown) also give similar agreement with the corresponding data, providing confidence that the LSP code is accurately modelling the proton trajectories and the expansion physics in both open and enclosed (cone) geometries.
The curved proton trajectories are qualitatively explained by considering a simple model for the radial electric field generated in the proton beam. Following the initial acceleration phase near the surface1,3, the hot electrons are confined by the ambipolar field of the positively charged proton beam. The hot-electron pressure gradient sets up a radial electric field, Er≈−∇(Pe)/ne≈kTehot/R, where Ris the radial scale length of the beam, k Tehotis the hot-electron temperature, Peis the hot-electron pressure and ne is the hot-electron density. From monitoring the time history of the electric field in the frame of selected protons, the radial field switches from being directed inwards to directed outwards, as the radial field from the hot electrons surpasses the radial acceleration force that dominates near the surface. We note that the weak scaling of the radial electric fields with density (Er≈k Tehot/R) suggests that the focusing should not be substantially degraded for high-current-density beams, such as required for proton FI. Higher laser intensities, which will generate higher-energy electrons, will increase the radial pressure to some extent, although this scales weakly with laser intensity (Tehot∼IL0.5).
Simulations indicate that the radial field in the beam is of the order of a few MV/100 μm, which is sufficient to deflect a multi-MeV proton over the spatial scale of the target. It is also interesting to note that this heuristic model predicts that higher-energy protons should penetrate to smaller radii before bending, which is the trend in the data seen in Fig. 2a, consistent with recently reported carbon ion-beam experiments32.
The inferred focal position near z=100 μm, as shown in Fig. 2b, is understood by considering the diagnostic method. Both the ray tracing and magnification methods inherently assume straight-line proton trajectories. Depending on the curvature of the trajectories, the inferred focal position determined from extrapolating the trajectories to the axis may fall much inside the actual focal position of the proton beam. Therefore, the time-dependent proton distributions from the simulations are used to calculate the fluence profiles Δ80(z), defined as the time-integrated flux diameter that encompasses 80% of the protons through a plane at position z, which would more correctly represent the focal position and diameter of the beam. The fluence profiles Δ80(z) for protons with energy >3 MeV are plotted in Fig. 4b, corresponding to the approximate energy required for FI deposition18. For the freestanding target, the fluence diameter is Δ80≈90 μm, which is much larger than the more peaked D80 profiles seen in Fig. 4a. As for the cone target, the fluence diameter is significantly reduced to Δ80≈60 μm. The reduced Δ80 diameter is the result of a sheath electric field that develops along the inside surface of the cone wall, generated from the hot-electron sheath that extends upward from the laser spot radius (Fig. 3b inset). This field bends the protons that propagate near the wall surface (Fig. 3b). The sheath field is strongest during the initial phase of focusing, as the proton beam begins to propagate through the cone. At later times, the field is reduced as the hydrocarbon layer from the surface begins to expand. The sheath field effectively channels the protons through the tip of the cone, extending the focal position. As shown in Fig. 2b, this effect is not observed for the other geometries, where the wall focusing is not present (or less effective for the cylinder case) and the radial hot-electron pressure in the beam expands the beam at a closer distance to the apex of these targets.
The beam focusing also depends on the spatial uniformity of the hot-electron source. Hot electrons generated in the intense laser spot region (laser spot diameter ≈90 μm) propagate transversely along the surface, creating a hot-electron radial pressure gradient. Expanding the hot-electron source width from 90 to 360 μm reduced the initial radial gradient of the hot-electron sheath and resulted in a more convergent beam, with Δ80 reduced from 60 to 35 μm (Fig. 4b, cone 2). Further simulations with a uniform source, but with no hydrocarbon layer on the cone wall, generated a focused beam with Δ80≈20 μm (Fig. 4b, FI cone). In this case, focusing is enhanced owing to the lack of a thin hydrocarbon layer, which reduces the sheath field as it expands. We expect this case to be applicable for the much higher current conditions required for FI, where a low-density hydrocarbon layer on the cone wall would be a relatively small perturbation. On the basis of these results, improvements in the laser uniformity and optimizing the curvature and surrounding focusing structure may allow even higher focused beam intensities to be achieved, which have direct applications in high-energy-density science, such as in astrophysics10 and FI research, as well as in the medical and nuclear applications discussed above.
Methods
Experiments were conducted on the 200 TW TRIDENT short pulse laser at Los Alamos National Laboratory, which delivered 70–80 J on target in 500–600 fs with an amplified spontaneous emission contrast ratio better than 10−9 (ref. 28). The 1,053 nm laser pulse was focused by an f/8 parabolic mirror, which produced a spot size containing 50% of the energy in a diameter of 90 μm. The hemispherical shells were made from high-density carbon by a chemical vapour deposition process. The shells were 10 μm thick with a radius of curvature of 300 μm, with the partial shells having a chord length of 300 μm. The surrounding structure was Al and the Cu mesh, of 200 lines per inch (LPI), was glued on the rear side at a distance of approximately 1.5 mm from the apex of the hemispherical shell, with its position measured to within ±20 μm.
Radiochromic film is a dosimetry film with an active layer that undergoes a chemical reaction when exposed to ionizing radiation30. The chemical reaction darkens the film in proportion to the radiation dose. In the experiment, a stack of RCF containing 4 cm×4 cm squares of film alternated with aluminium filters (100 μm–1.5 mm thick) was placed 4 cm±500 μm behind the target normal. The film was scanned using a flatbed scanner to capture the image of the proton beam.
In the 3D ray tracing technique, straight-line proton trajectories were reconstructed by connecting the mesh intersection points on the RCF to the intersection points on the original mesh. The resulting ray bundle was used to determine the D80 diameter and position. The calculation of D80 is dependent on accurately choosing the mesh intersection points on the RCF and adequately representing the whole proton beam by the selection of the points. For the freestanding targets, in the RCF layers corresponding to the lower-energy protons, portions of the mesh image on the RCF were distorted, which prevented the use of the entire beam; therefore, the focal spot size for the lower-energy protons could not be calculated. The focal position was calculated using the measured mesh magnification on the RCF and geometrical considerations. To calculate the mesh magnification, the distance between the mesh intersection points on the RCF were measured and divided by the actual mesh size, then the average was taken. The error in the magnification is represented by the standard deviation in the measurement. The number of mesh intersection points selected varies from shot to shot and the RCF layer of interest, ranging from 10 to 80. The overall error in the calculation takes into account the error in the measured distances in the target set-up along with the standard deviation in determining the mesh magnification. The calculated focal positions using either ray tracing or geometrical considerations were within the calculated error.
The D80 diameter encompassing 80% of the rays is determined using a bootstrap method. At a given plane along the longitudinal direction (z), the 3D ray tracing technique provides the position of N rays (where N is the number of chosen mesh intersections on the RCF film) along with their uncertainties. After assuming that each experimental data point is a realization from a Gaussian probability density function, an overall empirical probability density function is constructed. A Monte Carlo sampling without replacement is then applied: N samples are randomly chosen from the probability density function, making sure that exactly one data point is chosen in the uncertainty region that surrounds each experimental data point. This sampling is then repeated over k realizations, where k>104. A distribution function for D80 is obtained with a determination at the 95% confidence level.
LSP (ref. 31) is a hybrid particle-in-cell code used to simulate the generation and focusing of the proton beam in the various experimental geometries. Here two-dimensional cylindrical symmetry is assumed. Relativistic electrons were converted from cold background electrons in the target, simulating the generation of hot electrons from an intense laser interaction with a solid. The electron source has a spatial Gaussian width consistent with the laser spot diameter (≈90 μm) and its duration matches the laser pulse length. The electrons are directed into the target with a Te=600 keV relativistic Jüttner distribution with a forward drift of γ βz=0.6, which results in a 45° (30°) forward half angle containing 50% of the energy of all electrons (those with E>5 MeV), respectively. This distribution was chosen to be consistent with the maximum proton energies observed for the cone and partial hemispherical targets, found to be 11 MeV and 17 MeV, respectively. The simulations ran for approximately 18 ps, which was required for the protons to reach asymptotic velocities.
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Acknowledgements
The authors sincerely thank P. Norreys for helpful discussions concerning this work and gratefully acknowledge the support of the staff at the TRIDENT laser facility at Los Alamos National Laboratory. We would also like to thank T. Yabuuchi for useful discussions. T.B. is supported through the Lawrence Scholar Program at Lawrence Livermore National Laboratory. This work was performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract DE-SC0001265. M.R., A.O. and D.K. are supported by the BMBF 06DA9044I.
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F.N.B., M.E.F., P.K.P., R.B.S., M.H.K., H.S.M., E.M.G. M.S.W. and T.B. were involved in the project planning and target design. T.B., K.A.F., D.T.O., S.A.G., L.C.J., D.P.H., D.C.G., A.O., D.K. and M.R. contributed to the experimental work. T.B. and C.B. carried out the data analysis and wrote the letter along with F.N.B. and M.E.F., where M.E.F. performed the simulations.
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Bartal, T., Foord, M., Bellei, C. et al. Focusing of short-pulse high-intensity laser-accelerated proton beams. Nature Phys 8, 139–142 (2012). https://doi.org/10.1038/nphys2153
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DOI: https://doi.org/10.1038/nphys2153
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