Charge collection parameterization of MALTA2, a depleted monolithic active pixel sensor
L. Fasselt · P. Behera · D. V. Berlea · D. Bortoletto · C. Buttar · T. Chembakan · V. Dao · G. Dash · S. Haberl · T. Inada · F. K. Isik · P. Jana · X. Li · L. Li · H. Pernegger · P. Riedler · W. Snoeys · C. A. Solans Sánchez · A. Swoboda · I. Turk Cakir · M. van Rijnbach · M. Vázquez Núñez · A. Vijay · J. Weick · S. Worm
A fast simulation method is presented for a depleted monolithic active pixel sensor, which uses a data driven parameterization of the charge collection and propagation. This approach provides an efficient alternative to TCAD simulations, particularly for sensors whose proprietary process details - such as doping profiles or implant geometries - are unavailable. Data was obtained with a MALTA2 sensor fabricated in a 180 nm CMOS imaging technology on 30 μm epitaxial silicon using the MALTA beam telescope at CERN SPS. The model reproduces the measured inpixel efficiency with high accuracy and enables a realistic yet computationally lightweight analog pixel simulation. This method will be further employed in optimizing the digital sensor design for applications in high-rate particle tracking and high-granularity calorimetry.
Relevant to teams building tactile perception into real robotic systems.
A fast simulation method is presented for a depleted monolithic active pixel sensor, which uses a data driven parameterization of the charge collection and propagation. This approach provides an efficient alternative to TCAD simulations, particularly for sensors whose proprietary process details - such as doping profiles or implant geometries - are unavailable. Data was obtained with a MALTA2 sensor fabricated in a 180 nm CMOS imaging technology on 30 μm epitaxial silicon using the MALTA beam telescope at CERN SPS. The model reproduces the measured inpixel efficiency with high accuracy and enables a realistic yet computationally lightweight analog pixel simulation. This method will be further employed in optimizing the digital sensor design for applications in high-rate particle tracking and high-granularity calorimetry.