Speaker
Description
Low Gain Avalanche Detectors (LGADs) are silicon detectors with modest internal gain (up to ~50) and great time resolution (20 ps). In a broad array of fields, including particle physics (4-D tracking) and photon science (X-ray imaging), LGADs are a promising R&D path. However, due to structures required to provide electrostatic isolation between LGAD pixels, the granularity of production-level devices is limited to the 1x1 mm^2 scale. Applications in particle physics and photon science demand granularity scales of 100x100 um^2 or better. In this talk, we'll present a solution to the granularity issue, the deep junction LGAD (DJ-LGAD). The concept behind DJ LGAD and its potential to increase the granularity of LGADs will be explained. Furthermore the concept of ‘adaptive gain layer’ using DJ-LGAD technology will be presented, this type of gain layer might allow a significant increase of the radiation hardness reach of LGAD devices. Finally, a production of such a device in the scope of RD50 will be proposed.
