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Optimum laser parameters for 1D radiation pressure acceleration

Published online by Cambridge University Press:  30 April 2015

Peter Schmidt*
Affiliation:
TU-Darmstadt, TEMF, Darmstadt, Germany
Oliver Boine-Frankenheim
Affiliation:
TU-Darmstadt, TEMF, Darmstadt, Germany
Peter Mulser
Affiliation:
TU-Darmstadt, FKP, Darmstadt, Germany
*
Address correspondence and reprint requests to: Peter Schmidt, TU-Darmstadt, TEMF, Schlossgartenstraße 8, 64289 Darmstadt, Germany. E-mail: p.schmidt@gsi.de

Abstract

Laser ion acceleration (Wilks et al., 2001; Passoni et al., 2010) has become an interesting field of research in the past years. Several experiments, such as LIGHT (Schollmeier et al., 2008; Bagnoud et al., 2010; Busold et al., 2013; 2014a; 2014b) are performed worldwide. High intense, pulsed laser beams are used to generate and accelerate a plasma. For higher laser intensities (>1021 W cm−1), simulations (Esirkepov et al., 2004; Macchi et al., 2005; 2009; 2010; Robinson et al., 2008; Rykovanov et al., 2008; Henig et al., 2009; Schlegel et al., 2009; Shoucri et al., 2011; 2013; 2014; Kar et al., 2012; Korzhimanov et al., 2012; Shoucri, 2012) have revealed a new acceleration mechanism: The Radiation Pressure Acceleration. The entire foil target is accelerated by the radiation pressure of the laser pulse. Ideally, a sharp peak spectrum is generated, with energies up to GeV and nearly solid body density. This work faces on a detailed analysis of the acceleration mechanism in order to develop the optimum laser- and target parameters for the process. The analysis is supported by one-dimensional PIC simulations, using the commercial code VSim© Tech-X (2015).

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2015 
Figure 0

Fig. 1. Sketch of the RPA mechanism: The laser compresses the electron gas (red). The resulting polarization field drags the ions (blue).

Figure 1

Fig. 2. Standard configuration of a laboratory system S and a moving frame S′, which propagates in the positive x-direction.

Figure 2

Fig. 3. Shown is a map of ${\rm \beta} _{{\rm max}}^{\rm e} $ [from Eq. (12)] as a function of the compression factor ϰe for different materials: Hydrogen (black), carbon (purple), titanium (dark blue), gold 25 nm (red), and gold 10 nm (light blue).

Figure 3

Fig. 4. Spacial plasma distribution (full black line) for different times in the case, the target got fully transparent while the compression phase (left): After a phase of compression (middle), the incident laser wave (blue dashed line) penetrates the entire target and the plasma is rarefied (right). Note the axis scale! (From 1D PIC simulation, performed with VSim© Tech-X, 2015.)

Figure 4

Fig. 5. Configuration of the model: The incident laser wave propagates from the left to the right through the vacuum region I. Region II is the plasma slab, which can be described by Eq. (6). After the penetration of the plasma, the EM wave enters vacuum again (region III)

Figure 5

Fig. 6. Reflection index R = |A/φ|2 as a function of Ω/ωpe for d = 5δ [from Eq. (16)].

Figure 6

Fig. 7. Incident wave amplitude φ(Ω′) (blue line) and transmitted wave amplitude $E_ \bot ^{\prime II} = (1 - R){\rm \phi} (\Omega ^{\prime})$ (full red line) as functions of Ω/ωpe. The high-frequency parts of the wave are entirely transmitted since R vanishes for those frequencies.

Figure 7

Fig. 8. Shown is the ratio of the energy spread and the mean kinetic energy $\Delta E_{{\rm kin}} /\bar E_{{\rm kin}} $. As predicted by the theory [Eqs. (16) and (17)], it decreases rapidly with increasing laser pulse length. For the materials: Carbon (blue), gold (red), and hydrogen (purple). (From 1D PIC simulation, performed with VSim© Tech-X, 2015.)

Figure 8

Fig. 9. Mean kinetic energy $\bar E_{{\rm kin}} $ as a function of the laser pulse length. Below a threshold pulse length τc ≈ 50–60 fs, $\bar E_{{\rm kin}} $ decreases rapidly. For the materials: Carbon (blue), gold (red), and hydrogen (purple). As can be seen from the purple curve, above a certain pulse length of the mean kinetic energy decreases again, since the intensity gets too low to start a radiation pressure acceleration. This gives rise to the presumption, that there has to be an upper limitation. (From 1D PIC simulation, performed with VSim© Tech-X, 2015.)

Figure 9

Fig. 10. (Colour online) Energy spread of the RPA plasma as a function of the laser pulse length.(From 1D PIC simulation, performed with VSim© Tech-X, 2015.)

Figure 10

Fig. 11. (Colour online) Energy spread relative to the mean kinetic energy of an RPA plasma.(From 1D PIC simulation, performed with VSim© Tech-X, 2015.)