Design optimization of MAPS-based detectors using a data-driven fast simulation approach

Abstract A parametric simulation tool for pixel sensors is presented. A realistic pixel response is simulated purely based on measurement input, without requiring detailed knowledge of the underlying manufacturing process. As such, it provides an efficient alternative to the use of Technology Computer-Aided Design simulations, which typically depend on proprietary process information. Due to its parametric approach, the package is fast and thus particularly useful for larger detector systems and high hit rate environments. This work presents measurements, simulation and its validation for the MALTA2 sensor. It is a small collection electrode monolithic active pixel sensor produced in the Tower 180 nm complementary metal-oxide-semiconductor imaging process. Modifications to the sensor’s periphery, mainly in the hit merger, are studied in order to optimize the performance for tracking and calorimetry. This optimization is of special interest as part of the MALTA3 sensor redesign in the 65 nm Tower Partners Semiconductor Co. process.

Authors

Institutions

Publication Details

Journal
The European Physical Journal C
Published
2026-07-28
DOI
https://doi.org/10.1140/epjc/s10052-026-16147-4
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design optimization of MAPS-based detectors using a data-driven fast simulation approach

Lucian Fasselt, W. Snoeys, Julian Weick, P. K. Behera et al.
The European Physical Journal C
CCD and CMOS Imaging Sensors
article

Design optimization of MAPS-based detectors using a data-driven fast simulation approach

Lucian Fasselt, W. Snoeys, Julian Weick, P. K. Behera, D.V. Berlea, H. Pernegger, P. Riedler, C. M. Buttar, V. Dao, Long Li, S. D. Worm, M. Van Rijnbach, Carlos Solans Sánchez, G. Dash, Tomohiro Inada, X. Li, D. Bortoletto, Anusree Vijay, Ç. İşsever, Sebastian Haberl, Theertha Chembakan, Anna Swoboda, Fuat Kerem Isik, Ilkay Turk Cakir
article en

Abstract

Abstract A parametric simulation tool for pixel sensors is presented. A realistic pixel response is simulated purely based on measurement input, without requiring detailed knowledge of the underlying manufacturing process. As such, it provides an efficient alternative to the use of Technology Computer-Aided Design simulations, which typically depend on proprietary process information. Due to its parametric approach, the package is fast and thus particularly useful for larger detector systems and high hit rate environments. This work presents measurements, simulation and its validation for the MALTA2 sensor. It is a small collection electrode monolithic active pixel sensor produced in the Tower 180 nm complementary metal-oxide-semiconductor imaging process. Modifications to the sensor’s periphery, mainly in the hit merger, are studied in order to optimize the performance for tracking and calorimetry. This optimization is of special interest as part of the MALTA3 sensor redesign in the 65 nm Tower Partners Semiconductor Co. process.

The European Physical Journal CVol. 86(7)
Los Alamos National Laboratory (US), Ankara University (TR), Indian Institute of Technology Madras (IN), Deutsches Elektronen-Synchrotron DESY (DE), University of Oxford (GB), Stony Brook University (US), European Organization for Nuclear Research (CH), University of Glasgow (GB), University of Birmingham (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
CCD and CMOS Imaging Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.