IO information-based component relevance estimation in a mixed-signal ASIC analog circuit

With increasing demand for active sensor surface and compact modularization, monolithic active pixel sensors are gaining track in high-energy physics experiments. The analog circuits in these mixed-signal ASICs are often black boxes where the components’ function and the circuitry’s behavior can only be evaluated through simulation or educated guesses. Further, parameters acting on these components are often present, allowing the tuning of the behavior towards optimal performance of the circuitry while in operation. These parameters span a multidimensional feature space that is highly intertwined, making precise predictions of their influence on the sensor performance challenging. An approach to evaluate the interplay and importance of these parameters based on Shapley values is presented, which can provide information about the implemented circuit on the ASIC. We show how input–output information can be used, to assess the importance and influence of the components in the analog circuit on the performance of an exemplary pixel sensor. The resulting increase in information can help to evaluate the best tuning parameters of the circuit respective to the present requirements of the users as well as generate valuable feedback for designers guaranteeing the optimal performance of the sensor.

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Publication Details

Journal
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
Published
2025-08-26
DOI
https://doi.org/10.1016/j.nima.2025.170968
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.00

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article

IO information-based component relevance estimation in a mixed-signal ASIC analog circuit

Abdelhak M. Zoubir, Lucian Fasselt, Julian Weick, M. Gazi et al.
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
CCD and CMOS Imaging Sensors
article

IO information-based component relevance estimation in a mixed-signal ASIC analog circuit

Abdelhak M. Zoubir, Lucian Fasselt, Julian Weick, M. Gazi, Christian A. Schroth, A. Sharma, D.V. Berlea, M. Vazquez Nunez, L. Gonella, Van‐Duong Dao, W. Snoeys, P. Riedler, Long Li, S. D. Worm, Tomislav Suligoj, M. Van Rijnbach, Prateek Behera, Carlos Solans Sánchez, G. Dash, D. Dobrijević, Prasanta Jana, Tomohiro Inada, Ignacio Asensi Tortajada, Arnesh Vijay, H. Pernegger, Florian Dachs, Daniela Bortoletto, L. Flores Sanz De Acedo, C. Buttar, S. Haberl
article en

Abstract

With increasing demand for active sensor surface and compact modularization, monolithic active pixel sensors are gaining track in high-energy physics experiments. The analog circuits in these mixed-signal ASICs are often black boxes where the components’ function and the circuitry’s behavior can only be evaluated through simulation or educated guesses. Further, parameters acting on these components are often present, allowing the tuning of the behavior towards optimal performance of the circuitry while in operation. These parameters span a multidimensional feature space that is highly intertwined, making precise predictions of their influence on the sensor performance challenging. An approach to evaluate the interplay and importance of these parameters based on Shapley values is presented, which can provide information about the implemented circuit on the ASIC. We show how input–output information can be used, to assess the importance and influence of the components in the analog circuit on the performance of an exemplary pixel sensor. The resulting increase in information can help to evaluate the best tuning parameters of the circuit respective to the present requirements of the users as well as generate valuable feedback for designers guaranteeing the optimal performance of the sensor.

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentVol. 1082
CERN
Openalex Percentile: Top 79%
CCD and CMOS Imaging Sensors
DOIOpen Access PDFOpenAlex
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