Wake-T | A fast tracking code for plasma accelerators

Wake-T is a Python library typically used in Simulation applications. Wake-T has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install Wake-T' or download it from GitHub, PyPI.

Wake-T (Wakefield particle Tracker) is a tracking code for 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:. The main drawback of this approach is a reduced accuracy of the results, compared to a PIC code, particularly if the assumptions of the reduced wakefield models are not satisfied. Although more models are planned to be included in the future, some of the main current limitations of the code are the lack of realistic laser evolution and electron self-injection. 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.