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arXiv 2301.09697physics.plasm-phphysics.acc-ph
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利用结构利用算法优化等离子体尾场加速器中的变压器比和束流负载

Optimization of transformer ratio and beam loading in a plasma wakefield accelerator with a structure-exploiting algorithm

Q. Su, J. Larson, T. N. Dalichaouch, F. Li, W. An, L. Hildebrand, Y. Zhao, V. Decyk, P. Alves, S. M. Wild, W. B. Mori

AI总结:

本文提出一种利用结构利用算法优化等离子体尾场加速器中驱动束和尾随束电流分布的方法,以在非线性状态下实现高加速效率、低能量散布和低发射度,并获得比传统线性理论更高的变压器比。

摘要:

等离子体加速已成为未来直线对撞机或下一代光源的加速器技术的有力候选者。对于直线对撞机,从驱动束到尾场以及从尾场到尾随束的能量传输效率必须很高,同时必须保持尾随束的发射度和能量散布。在加速电子时同时实现这一目标的一种方法是使用纵向整形束和非线性尾场。在线性状态下,存在获取最佳形状的解析形式。然而,在非线性状态下,由于目前没有理论描述所有非线性度的尾场结构和激发过程,因此无法精确获得使能量传输效率最大化的驱动束最佳形状。此外,在尾场前端,等离子体电子未被驱动束完全吹出,离子通道半径定义不明确。我们提出了一种新颖的优化方法的结果,以有效确定 PWFA 中驱动束和尾随束的电流分布,从而提供低能量散布、低发射度和高加速效率。我们将纵向束流电流分布参数化为分段线性函数,并定义优化目标。对于尾随束,算法快速收敛到近乎反向梯形的尾随束电流分布,类似于非线性尾场理论超相对论极限所预测的分布。对于驱动束,在非线性状态下通过优化找到的使变压器比最大化的束流分布也类似于线性理论所预测的分布。与非线性理论相对论极限预测的线性斜坡相比,通过优化方法找到的电流分布提供了更高的变压器比。

英文摘要:

Plasma-based acceleration has emerged as a promising candidate as an accelerator technology for a future linear collider or a next-generation light source. For a linear collider, the energy transfer efficiency from the drive beam to the wake and from the wake to the trailing beam must be large, while the emittance and energy spread of the trailing bunch must be preserved. One way to simultaneously achieve this when accelerating electrons is to use longitudinally shaped bunches and nonlinear wakes. In the linear regime, there is an analytical formalism to obtain the optimal shapes. In the nonlinear regime, however, the optimal shape of the driver to maximize the energy transfer efficiency cannot be precisely obtained because currently no theory describes the wake structure and excitation process for all degrees of nonlinearity. In addition, the ion channel radius is not well defined at the front of the wake where the plasma electrons are not fully blown out by the drive beam. We present results using a novel optimization method to effectively determine a current profile for the drive and trailing beam in PWFA that provides low energy spread, low emittance, and high acceleration efficiency. We parameterize the longitudinal beam current profile as a piecewise-linear function and define optimization objectives. For the trailing beam, the algorithm converges quickly to a nearly inverse trapezoidal trailing beam current profile similar to that predicted by the ultrarelativistic limit of the nonlinear wakefield theory. For the drive beam, the beam profile found by the optimization in the nonlinear regime that maximizes the transformer ratio also resembles that predicted by linear theory. The current profiles found from the optimization method provide higher transformer ratios compared with the linear ramp predicted by the relativistic limit of the nonlinear theory.

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