Characterization of cutting-edge CMOS Active Pixel sensors within the CYGNO Experiment
B.D. Almeida, F.D. Amaro, R. Antonietti, E. Baracchini, L. Benussi, S. Bianco, C. Capoccia, M. Caponero, L.G.M. de Carvalho, G. Cavoto, I.A. Costa, A. Croce, M. D'Astolfo, G. D'Imperio, E. Dane, G. Dho, E. Di Marco, J.M.F. Dos Santos, D. Fiorina, F. Iacoangeli, Z. Islam, E. Kemp

TL;DR
This paper characterizes advanced scientific CMOS sensors to evaluate their suitability for low-light particle detection in the CYGNO experiment, focusing on dark-signal behavior and detection sensitivity to optimize detector configurations.
Contribution
It provides a detailed comparison of the new ORCA-Fusion-BT and ORCA-Quest sensors, highlighting their potential to improve low-light detection in particle physics experiments.
Findings
ORCA-Fusion-BT achieves up to 95% quantum efficiency at 550 nm.
ORCA-Quest offers ultra-low readout noise of 0.27 electrons.
Both sensors show promise for enhancing photon-limited detection performance.
Abstract
Time Projection Chambers equipped with Gas Electron Multipliers and optical readout by scientific CMOS cameras are a promising technology for low-energy particle detection, as demonstrated by the CYGNO experiment. To help identify the optimal CYGNO detector configuration, we performed a detailed characterization of two state-of-the-art scientific CMOS sensors, focusing on dark-signal behavior across different exposure times and on detection sensitivity, assessed using the well-defined X-ray emissions from a 55Fe source, which reproduce the low-light conditions expected in CYGNO. CYGNO currently employs a very low-noise Hamamatsu sensor, the ORCA-Fusion, for testing and validation of its detection system. Hamamatsu has recently introduced two new sensors that may be of interest for future upgrades. The first is an improved version of the current model, the ORCA-Fusion-BT, featuring a…
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Taxonomy
TopicsParticle Detector Development and Performance · CCD and CMOS Imaging Sensors · Photocathodes and Microchannel Plates
