Wake-T (Wakefield particle Tracker) is a tracking code for laser- and beam-driven plasma wakefield accelerators which aims at providing a fast alternative to Particle-in-Cell (PIC) simulations. Instead of relying on the computationally-expensive PIC algorithm for simulating the plasma wakefields and the beam evolution, Wake-T uses a Runge-Kutta solver to track the evolution of the beam electrons in the wakefields, which, at the same time, are computed from reduced models. This allows for a significant speed-up of the simulations, which can be performed in a matter of seconds instead or hours/days. An overview of this strategy can be seen in the following figure:
In addition to plasma-acceleration stages, Wake-T can also simulate active plasma lenses, drifts, dipoles, quadrupoles and sextupoles, allowing for the simulation of complex beamlines. The tracking along the drifts and magnets is performed using second-order transfer matrices, and CSR effects can be included by using a 1D model. This matrix approach and the CSR model are based on a streamlined version of the Ocelot implementation.
If you don't have Python 3 already installed, download the latest version, for example, from here. It is recommended to create a virtual environment for Wake-T (you can see how here, for example). Remember to activate the new environment before proceeding with the installation.
Simply type
pip install Wake-Tin your terminal.
- Clone this repository to a directory in your computer using
git
git clone https://github.com/AngelFP/Wake-T.gitor simply download the code from here and unzip it.
- If you haven't already, open a terminal in the newly created folder and perform the installation with
pip install .[1] - P. Baxevanis and G. Stupakov, Novel fast simulation technique for axisymmetric plasma wakefield acceleration configurations in the blowout regime, Phys. Rev. Accel. Beams 21, 071301 (2018).
[2] - A. Ferran Pousa et al., Wake-T: a fast particle tracking code for plasma-based accelerators, J. Phys.: Conf. Ser. 1350 012056 (2019).