Deep-Junction LGAD and adaptive gain layer RD50 proposal

21 Jun 2023, 15:30
20m
Conference Hall (Hotel Regent Porto Montenegro)

Conference Hall

Hotel Regent Porto Montenegro

Obala bb, Tivat 85320, Montenegro

Speaker

Dr Simone Michele Mazza (University of California,Santa Cruz (US))

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.

Authors

Prof. Bruce Andrew Schumm (University of California,Santa Cruz (US)) Carolyn Gee (University of California,Santa Cruz (US)) Dr Simone Michele Mazza (University of California,Santa Cruz (US)) Yuzhan Zhao (University of California Santa Cruz)

Presentation materials