TY - JOUR
T1 - High-accuracy 4D particle trackers with resistive silicon detectors (AC-LGADs)
AU - Arcidiacono, R.
AU - Cartiglia, N.
AU - Ferrero, M.
AU - Mandurrino, M.
AU - Menzio, L.
AU - Siviero, F.
AU - Sola, V.
AU - Tornago, M.
N1 - Publisher Copyright:
© 2022 The Author(s). Published by IOP Publishing Ltd on behalf of Sissa Medialab.
PY - 2022/3
Y1 - 2022/3
N2 - Future particle trackers will have to measure concurrently position and time with unprecedented accuracy, aiming at 5 μm and a few 10s ps resolution respectively. A promising good candidate for such a task are the resistive AC-LGADs, solid state silicon sensors of novel design, characterized by an internal moderate gain and an AC-coupled resistive read-out to achieve signal sharing among pads. The sensor design leads to a drastic reduction in the number of read-out channels, has an intrinsic 100% fill factor, and adapts easily to any read-out geometry. This report describes the design challenges, the signal formation and recent test results obtained with the first prototypes. A part is also dedicated to the reconstruction techniques that exploit the distributed nature of the signal, including machine learning. An outlook to a future development for optimized read-out electrodes and electronics is also presented.
AB - Future particle trackers will have to measure concurrently position and time with unprecedented accuracy, aiming at 5 μm and a few 10s ps resolution respectively. A promising good candidate for such a task are the resistive AC-LGADs, solid state silicon sensors of novel design, characterized by an internal moderate gain and an AC-coupled resistive read-out to achieve signal sharing among pads. The sensor design leads to a drastic reduction in the number of read-out channels, has an intrinsic 100% fill factor, and adapts easily to any read-out geometry. This report describes the design challenges, the signal formation and recent test results obtained with the first prototypes. A part is also dedicated to the reconstruction techniques that exploit the distributed nature of the signal, including machine learning. An outlook to a future development for optimized read-out electrodes and electronics is also presented.
KW - Electronic detector readout concepts (solid-state)
KW - Particle tracking detectors (Solid-state detectors)
KW - Solid state detectors
KW - Timing detectors
UR - http://www.scopus.com/inward/record.url?scp=85126486026&partnerID=8YFLogxK
U2 - 10.1088/1748-0221/17/03/C03013
DO - 10.1088/1748-0221/17/03/C03013
M3 - Article
SN - 1748-0221
VL - 17
JO - Journal of Instrumentation
JF - Journal of Instrumentation
IS - 3
M1 - C03013
ER -