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Physics > Instrumentation and Detectors

arXiv:2209.07329 (physics)
[Submitted on 15 Sep 2022]

Title:Signal formation and sharing in AC-LGADs using the ALTIROC 0 front-end chip

Authors:G. D'Amen, W. Chen, C. De La Taille, G. Giacomini, D. Marchand, M. Morenas, C. Munoz Camacho, E. Rossi, N. Seguin-Moreau, L. Serin, A. Tricoli, P.-K. Wang
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Abstract:The development of detectors that provide high resolution in four dimensions has attracted wide-spread interest in the scientific community for applications in high-energy physics, nuclear physics, medical imaging, mass spectroscopy as well as quantum information. However, finding a technology capable of fulfilling such aspiration proved to be an arduous task. Among other silicon-based candidates, the Low-Gain Avalanche Diode (LGAD) has already shown excellent timing performances but proved to be unsuitable for fine pixelization. Therefore, the AC-coupled LGAD (AC-LGAD) approach was introduced to provide high resolution in both time and space, making it a promising candidate for future 4D detectors. However, appropriate readout electronics must be developed to match the sensor's fast-time and fine-pitch capabilities. This is currently a major technological challenge. In this paper, we test AC-LGAD prototypes read out by the fast-time ASIC ALTIROC 0, originally developed for the readout of DC-coupled LGADs for the ATLAS experiment at the HL-LHC. Signal generated by either betas from a $^{90}$Sr source or a focused infra-red laser were analyzed. This paper details the first successful readout of an AC-LGAD sensor using a readout chip. This result will pave the way for the design and construction of a new generation of AC-LGAD-based 4D detectors.
Subjects: Instrumentation and Detectors (physics.ins-det)
Cite as: arXiv:2209.07329 [physics.ins-det]
  (or arXiv:2209.07329v1 [physics.ins-det] for this version)
  https://doi.org/10.48550/arXiv.2209.07329
arXiv-issued DOI via DataCite
Related DOI: https://doi.org/10.1088/1748-0221/17/11/P11028
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From: Gabriele D'Amen [view email]
[v1] Thu, 15 Sep 2022 14:37:32 UTC (12,770 KB)
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