The long term goal of the CERN Experimental Physics Department R&D on monolithic sensors is the development of sub-100nm CMOS sensors for high energy physics. The first technology selected is the TPSCo 65nm CMOS imaging technology. A first submission MLR1 included several small test chips with sensor and circuit prototypes and transistor test structures. One of the main questions to be addressed was how to optimize the sensor in the presence of significant in-pixel circuitry. In this paper this optimization is described as well as the experimental results from the MLR1 run confirming its effectiveness. A second submission investigating wafer-scale stitching has just been completed. This work has been carried out in strong synergy with the ITS3 upgrade of the ALICE experiment.

Optimization of a 65 nm CMOS imaging process for monolithic CMOS sensors for high energy physics

Beole S.;Perciballi S.;Savino U.;
2023-01-01

Abstract

The long term goal of the CERN Experimental Physics Department R&D on monolithic sensors is the development of sub-100nm CMOS sensors for high energy physics. The first technology selected is the TPSCo 65nm CMOS imaging technology. A first submission MLR1 included several small test chips with sensor and circuit prototypes and transistor test structures. One of the main questions to be addressed was how to optimize the sensor in the presence of significant in-pixel circuitry. In this paper this optimization is described as well as the experimental results from the MLR1 run confirming its effectiveness. A second submission investigating wafer-scale stitching has just been completed. This work has been carried out in strong synergy with the ITS3 upgrade of the ALICE experiment.
2023
Inglese
contributo
4 - Workshop
10th International Workshop on Semiconductor Pixel Detectors for Particles and Imaging, Pixel 2022
usa
2022
Esperti anonimi
420
083
083
15
MAPS, CMOS 65nm
FRANCIA
GERMANIA
REGNO UNITO DI GRAN BRETAGNA
STATI UNITI D'AMERICA
AUSTRIA
COREA DEL SUD
GIAPPONE
ISRAELE
PAESI BASSI
REPUBBLICA CECA
REPUBBLICA POPOLARE CINESE
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Rinella G.A.; Andronic A.; Antonelli M.; Baccomi R.; Ballabriga R.; Barbero M.; Barrillon P.; Baudot J.; Becht P.; Benotto F.; Beole S.; Bertolone G.;...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1934870
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