دورية أكاديمية

LGAD-Based Silicon Sensors for 4D Detectors

التفاصيل البيبلوغرافية
العنوان: LGAD-Based Silicon Sensors for 4D Detectors
المؤلفون: Gabriele Giacomini
المصدر: Sensors; Volume 23; Issue 4; Pages: 2132
بيانات النشر: Multidisciplinary Digital Publishing Institute
سنة النشر: 2023
المجموعة: MDPI Open Access Publishing
مصطلحات موضوعية: LGAD, avalanche photodiodes, APD, silicon sensors, timing, impact ionization, gain, spatial resolution
الوصف: Low-Gain Avalanche Diodes (LGAD) are a class of silicon sensors developed for the fast detection of Minimum Ionizing Particles (MIPs). The development was motivated by the need of resolving piled-up tracks of charged particles emerging from several vertexes originating from the same bunch-crossing in High-Energy Physics (HEP) collider experiments, which, however, are separated not only in space but also in time by a few tens of picoseconds. Built on thin silicon substrates and featuring an internal moderate gain, they provide fast signals for excellent timing performance, which are therefore useful to distinguish the different tracks. Unfortunately, this comes at the price of poor spatial resolution. To overcome this limitation, other families of LGAD-based silicon sensors which can deliver in the same substrate both excellent timing and spatial information are under development. Such devices are, to name a few, capacitively coupled LGADs (AC-LGAD), deep-junction LGADs (DJ-LGAD) and trench-isolated LGADs (TI-LGADs). These devices can be fabricated by even small-scale research-focused clean rooms for faster development within the scientific community. However, to scale up production, efforts towards integrating these sensor concepts in CMOS substrates, with the obvious advantage of the possibility of integrating part of the read-out electronics in the same substrate, have begun.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: Physical Sensors; https://dx.doi.org/10.3390/s23042132Test
DOI: 10.3390/s23042132
الإتاحة: https://doi.org/10.3390/s23042132Test
حقوق: https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.F69AD309
قاعدة البيانات: BASE