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@article{169066,
        author = {Gangtak Nanpon and Hemba E. C. and Akila S. and Timchang C.},
        title = {Development of a Quasi-static Particle-in-Cell Code for Nonlinear Beam-Driven Plasma Wakefield Acceleration: Progress Report},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {700-710},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169066},
        abstract = {This work introduces a quasi-static PIC code tailored for simulating nonlinear beam-driven PWFAs, leveraging the quasi-static approximation to reduce computational overhead by removing stringent time step constraints inherent in explicit PIC methods. The methodology involves constructing numerical plasma macro-particle distributions, calculating charge and current densities, and integrating electromagnetic field components through Poisson-like equations solved via fast Poisson solvers. An iterative predictor-corrector scheme based on the Adams-Bashforth-Moulton method ensures precise advancement of plasma particles. The beam particles are advanced using a relativistic Lorentz force equation to accommodate high-velocity dynamics. Preliminary simulations demonstrate the code's effectiveness in representing highly localized and focused beam densities, which are suitable for strong wakefield generation. Charge and current density distributions exhibit uniformity with localized perturbations, aligning with theoretical expectations for wakefield excitation. These results validate the code's capability to accurately capture the complex dynamics of beam-plasma interactions with enhanced computational efficiency. This progress report highlights the developed quasi-static PIC code as a robust tool for advancing PWFA research. By significantly reducing computational demands without compromising simulation accuracy, the code facilitates more extensive investigations into plasma-based acceleration mechanisms. Future work will focus on comprehensive validation against experimental data, optimizing computational performance, and integrating additional physical phenomena to further enhance the simulation framework.},
        keywords = {},
        month = {November},
        }