Speaker
Description
Currently, Energy Recovery Linacs (ERLs) are gaining popularity due to their environmentally friendly and sustainable nature.
However, ERLs require a specialized low-energy injector, also known as a merger. The energy exiting the merger cannot be recycled and is ultimately dumped at the end of the process.
To maximize energy efficiency, it is necessary to reduce injection energy. However, a challenge arises due to the presence of space charge in the dispersive section at low-energy ERL injection, leading to dispersion leaks.
Various solutions for merger beamline design have been developed worldwide to address this issue. Here, we present a novel approach that employs a standard dogleg to create an ultra-low energy merger for an ERL. This was made possible by utilizing the GIOTTO AI code to optimize optics settings and achieve a proper achromatic configuration.
