GARRONE, HOBEY

GARRONE, HOBEY  

Dipartimento di Elettronica e Telecomunicazioni  

096784  

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Citazione Data di pubblicazione Autori File
Dark counts in optical superconducting transition-edge sensors for rare-event searches / Manenti, L.; Pepe, C.; Sarnoff, I.; Ibrayev, T.; Oikonomou, P.; Knyazev, A.; Monticone, E.; Garrone, H.; Alder, F.; Fawwaz, O.; Millar, A. J.; Mora, K. D.; Shams, H.; Arneodo, F.; Rajteri, M.. - In: PHYSICAL REVIEW APPLIED. - ISSN 2331-7019. - ELETTRONICO. - 22:2(2024). [10.1103/PhysRevApplied.22.024051] 1-gen-2024 Pepe C.Garrone H. + PhysRevApplied.22.024051.pdf
Development of Ti/Au Transition-Edge Sensors for Single-Photon Detection / Xu, X.; Sun, X.; Chen, J.; Rajteri, M.; Garrone, H.; Pepe, C.; Li, W.; Li, J.; Zhang, M.; Bu, T.; Gao, Y.; Sun, T.; Wang, X.. - In: IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY. - ISSN 1051-8223. - STAMPA. - 34:3(2024), pp. 1-4. [10.1109/TASC.2024.3350569] 1-gen-2024 Garrone H.Pepe C. + Development_of_Ti_Au_Transition-Edge_Sensors_for_Single-Photon_Detection.pdf
Investigation of Superconducting Ti/Ti-Au/Au Tri-Layer Films With a Co-Sputtering Process for Transition-Edge Sensors / Xu, X.; Sun, X.; He, J.; Chen, J.; Li, J.; Rajteri, M.; Garrone, H.; Pepe, C.; Gao, H.; Li, X.; Ouyang, Y.; Wang, X.. - In: IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY. - ISSN 1558-2515. - STAMPA. - 33:5(2023), pp. 1-5. [10.1109/TASC.2023.3263133] 1-gen-2023 Sun X.Rajteri M.Garrone H.Pepe C. + Investigation_of_Superconducting_Ti_Ti_Au_Au_Tri_Layer_Films_With.pdfIEEE_TAS_ASC FINAL_VERSION.pdf
Simulation software for transition-edge sensor performance prediction / Garrone, Hobey; Pepe, Carlo; Reineri, Alessandro; Monticone, Eugenio; Filippo, Roberto; Rajteri, Mauro. - In: IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY. - ISSN 1051-8223. - ELETTRONICO. - 32:4(2022), pp. 1-6. [10.1109/TASC.2022.3146211] 1-gen-2022 Garrone, HobeyPepe, Carlo + Simulation_Software_for_Transition-Edge_Sensor_Performance_Prediction.pdfFINAL_VERSION_EUCAS_2021_ID488_Simulation_software_for_transition_edge_sensor_performance_prediction.pdf