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Dark counts in optical superconducting transition-edge sensors for rare-event searches

L. Manenti, Carlo Pepe, I. Sarnoff, Tengiz Ibrayev, Panagiotis Oikonomou, Artem Knyazev, E. Monticone, Hobey Garrone, Fiona Alder, O. Fawwaz, Alexander J. Millar, K. Morå, Hamad Shams, F. Arneodo, M. Rajteri

2024Physical Review Applied15 citationsDOIOpen Access PDF

Abstract

Superconducting transition-edge sensors (TESs) are a type of quantum sensor known for their high single-photon detection efficiency and low background. This makes TESs ideal for particle-physics experiments searching for rare events. In this work, we present a comprehensive characterization of the background in optical TESs, distinguishing three types of events: electrical-noise, high-energy, and photonlike events. We introduce computational methods to automate the classification of events. We experimentally verify and simulate the source of the high-energy events. We also isolate the photonlike events, the expected signal in dielectric haloscopes searching for dark-matter dark photons, and achieve a photonlike dark-count rate of 3.6\ifmmode\times\else\texttimes\fi{}${10}^{\ensuremath{-}4}$ in the 0.8--3.2 eV energy range.

Topics & Concepts

PhysicsDark matterSuperconductivityPhotonEvent (particle physics)Noise (video)Range (aeronautics)Transition edge sensorDielectricEnergy (signal processing)SIGNAL (programming language)Rare eventsIdeal (ethics)Particle physicsComputational physicsOpticsOptoelectronicsComputer scienceDetectorAstrophysicsQuantum mechanicsImage (mathematics)Artificial intelligenceMaterials sciencePhilosophyBolometerEpistemologyMathematicsStatisticsProgramming languageComposite materialDark Matter and Cosmic PhenomenaAtomic and Subatomic Physics ResearchSuperconducting and THz Device Technology
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