Test-beam characterisation of the CLICTD technology demonstrator - a small collection electrode High-Resistivity CMOS pixel sensor with simultaneous time and energy measurement
R. Ballabriga, E. Buschmann, M. Campbell, D. Dannheim, K. Dort, N., Egidos, L. Huth, I. Kremastiotis, J. Kr\"oger, L. Linssen, X. Llopart, M., Munker, A. N\"urnberg, W. Snoeys, S. Spannagel, T. Vanat, M. Vicente, M., Williams

TL;DR
This paper reports on the beam test characterization of the CLICTD monolithic CMOS pixel sensor, demonstrating high spatial and temporal resolution, high efficiency, and potential for particle tracking in collider experiments.
Contribution
It introduces a novel CMOS pixel sensor with simultaneous time and energy measurement, showing promising performance metrics for high-energy physics tracking detectors.
Findings
Time resolution of 5.8 ns achieved
Spatial resolution of 4.6 microns achieved
Hit detection efficiency exceeds 99.7%
Abstract
The CLIC Tracker Detector (CLICTD) is a monolithic pixel sensor. It is fabricated in a 180 nm CMOS imaging process, modified with an additional deep low-dose n-type implant to obtain full lateral depletion. The sensor features a small collection diode, which is essential for achieving a low input capacitance. The CLICTD sensor was designed as a technology demonstrator in the context of the tracking detector studies for the Compact Linear Collider (CLIC). Its design characteristics are of broad interest beyond CLIC, for HL-LHC tracking detector upgrades. It is produced in two different pixel flavours: one with a continuous deep n-type implant, and one with a segmented n-type implant to ensure fast charge collection. The pixel matrix consists of detection channels measuring microns. Each detection channel is segmented into eight sub-pixels to reduce the…
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.
