25–29 May 2026
La Biodola - Isola d'Elba (Italy)
Europe/Rome timezone
Reminder: Posters are requested to be uploaded by Thursday, 21 May.

FPGA-Based Front-End Electronics for AC-LGAD Detector

25 May 2026, 14:45
1h
Elena Room (Hotel Hermitage)

Elena Room

Hotel Hermitage

Poster presentation Front-End Electronics, Fast Digitizers, Fast Transfer Links & Networks Front-End Electronics, Fast Digitizers, Fast Transfer Links & Networks - PS

Speaker

Ms Liyan Jin (Shandong University)

Description

The Low Gain Avalanche Detector (LGAD) is a high-precision silicon-based timing detector known for its excellent signal-to-noise ratio and a typical gain of 10–50. The AC-coupled Low Gain Avalanche Detector (AC-LGAD), evolved from the LGAD, represents the latest generation of high-precision 4D detectors capable of simultaneously measuring both the time and position of particles.
We proposed a 16-channel front-end electronics readout system (FEE) for AC-LGADs. For analog part, it consisted of a radio-frequency preamplifier and a high-speed discriminator in each channel. All discriminated signals were fed to an FPGA. In the FPGA, 16 channels of Time-to-Digital Converters (TDC) were implemented, based on the tapped delay line (TDL) structure. Test results showed that ~6ps timing resolution for the TDC could be achieved.
The FEE system currently provides time-of-arrival (TOA) measurement. High-precision time-over-threshold (TOT) module is under development. With a pulse generator, the intrinsic timing resolution for the FEE is measured. The timing resolution for one channel in the FEE is about 10 ps. The timing resolution for the AC-LGAD detectors with our customized FEE can reach up ~40 ps. The resolution can be further improved after the TOT calibration in the future.

Minioral Yes
IEEE Member No
Are you a student? No

Authors

Ms Liyan Jin (Shandong University) Mr Xiang Li (Qufu Normal University) Bo Wang Mei Zhao (Chinese Academy of Sciences (CN)) Yunyun Fan (Chinese Academy of Sciences (CN)) Zhijun Liang (Chinese Academy of Sciences (CN)) Prof. Peilian Liu (Shandong University) Kun Hu (Shandong University (CN))

Presentation materials

There are no materials yet.