Yield, noise and timing studies of ALICE ITS3 stitched sensor test structures: the MOST
Jory Sonneveld, Ren\'e Barthel, Szymon Bugiel, Leonardo Cecconi, Jo\~ao De Melo, Martin Fransen, Alessandro Grelli, Isis Hobus, Artem Isakov, Antoine Junique, Pedro Leitao, Magnus Mager, Younes Otarid, Francesco Piro, Marcel Rossewij, Mariia Selina, Sergei Solokhin

TL;DR
This paper evaluates the performance of stitched sensor test structures for the ALICE ITS3 upgrade, focusing on yield, noise, timing, and data transmission capabilities of the MOST and MOSS prototypes.
Contribution
It introduces and validates the MOST stitched sensor with high-density pixel circuitry and 1 Gb/s data transmission, demonstrating key functionalities for the ALICE ITS3 upgrade.
Findings
MOST validates power domain switching and data transmission over 26 cm lines
Performance of stitched sensors meets design expectations for ALICE ITS3
Yield and uniformity studies inform future sensor improvements
Abstract
In the LHC long shutdown 3, the ALICE experiment upgrades the inner layers of its Inner Tracker System with three layers of wafer-scale stitched sensors bent around the beam pipe. Two stitched sensor evaluation structures, the MOnolithic Stitched Sensor (MOSS) and MOnolithic Stitched Sensor with Timing (MOST) allow the study of yield dependence on circuit density, power supply segmentation, stitching demonstration for power and data transmission, performance dependence on reverse bias, charge collection performance, parameter uniformity across the chip, and performance of wafer-scale data transmission. The MOST measures 25.9 cm x 0.25 cm, has more than 900,000 pixels of 18x18 m and emphasizes the validation of pixel circuitry with maximum density, together with a high number of power domains separated by switches allowing to disconnect faulty circuits. It employs 1 Gb/s 26 cm…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
