Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution

Marta Tornago; Flavio Giobergia; Luca Menzio; Federico Siviero; Roberta Arcidiacono; Nicolò Cartiglia; Marco Costa; Marco Ferrero; Giulia Gioachin; Marco Mandurrino; Valentina Sola

doi:10.1016/j.nima.2022.167816

arXiv · 2208.08294

Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution

Marta Tornago·Flavio Giobergia·Luca Menzio·Federico Siviero·Roberta Arcidiacono·Nicolò Cartiglia·Marco Costa·Marco Ferrero·Giulia Gioachin·Marco Mandurrino·Valentina Sola

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Abstract

Resistive AC-coupled Silicon Detectors (RSDs) are based on the Low Gain Avalanche Diode (LGAD) technology, characterized by a continuous gain layer, and by the innovative introduction of resistive read-out. Thanks to a novel electrode design aimed at maximizing signal sharing, RSD2, the second RSD production by Fondazione Bruno Kessler (FBK), achieves a position resolution on the whole pixel surface of about 8 $\mu m$ for 200-$\mu m$ pitch. RSD2 arrays have been tested using a Transient Current Technique setup equipped with a 16-channel digitizer, and results on spatial resolution have been obtained with machine learning algorithms.

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Marta Tornago, Flavio Giobergia, Luca Menzio, Federico Siviero, Roberta Arcidiacono, Nicolò Cartiglia, Marco Costa, Marco Ferrero, Giulia Gioachin, Marco Mandurrino, Valentina Sola. 2022-08-17. Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution. https://doi.org/10.1016/j.nima.2022.167816

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