TCAD Optimization and Validation of MAPS with Internal Low-Gain Amplification

21 Nov 2025, 11:10
20m
2F, Activities Center (Academia Sinica)

2F, Activities Center

Academia Sinica

128 Section 2, Academia Road, Nankang, Taipei 115201, Taiwan
ORAL New Ideas and Future Applications 8. New Ideas and Future Applications

Speaker

Hasan Shamas (IPHC)

Description

Future tracking and vertex detectors require sensors with finer pitch, im-
proved timing resolution, and minimal power consumption. While monolithic
CMOS pixel sensors (MAPS) offer a promising solution, their performance is
somewhat limited by the small signal generated in their thin sensitive layers,
down to 10 μm in some technologies.
The APICS (Impact Amplification with CMOS Pixel Sensor) project inves-
tigates the use of internal low-gain amplification structures to enhance signal
levels and enable fast readout in small pitch designs. TCAD simulations are
used to design and optimize gain-layer doping profiles and electric field configu-
rations within a standard 180 nm CMOS imaging process. Simulations predict
a gain of around ×10 at 55 V. With such gain, the signal from minimum ionising
particles will exceed 0.7 V for an input capacitance of 2 fF, allowing to design a
compact and power-saving in-pixel front-end circuits. The target pixel pitch is
15 μm, supporting integration into sensors featuring about 1 Megapixel.
To validate the simulation framework, experimental data from the CASSIA
(CMOS Active Sensor with Internal Amplification) project at CERN was used.
The test chips developed within this project, fabricated in the same technology
and implementing similar gain structures but larger pitch, were characterized
through laser-based measurements. The measurements confirm gain onset and
signal behavior consistent with simulation, validating the TCAD optimization
approach.
These results help guide the design of two prototype chips, which are planned
for submission in the second half of 2025.

Author

Co-authors

Anastasia Kotsokechagia (CERN) Andrei Dorokhov (IPHC) Borna Požar (University of Zagreb - FER) Carlos Solans Sanchez (CERN) Emma Kate Anderson (CERN) Heinz Pernegger (CERN) Ivan Berdalovic (University of Zagreb - FER) Jenny Lunde (CERN) Jerome Baudot (IPHC) Matija Jugovic (University of Zagreb - FER) Paula Bartulović (University of Zagreb - FER) Sebastian Haberl (CERN) Thibault Cocquerelle (ICube) Tomislav Suligoj (University of Zagreb - FER) Wilfried Uhring (ICube)

Presentation materials