May 24 – 28, 2021
America/Vancouver timezone

Characterization of carbonated gain implants in Ultra Fast Silicon Detectors (UFSD) pre- and post-irradiation

May 26, 2021, 8:42 AM
Parallel session talk Sensors: Solid-state position sensors Sensors: Solid-state sensors for tracking


Marco Ferrero (Universita e INFN Torino (IT))


Ultra Fast Silicon Detector (UFSD) is an innovative thin silicon sensor, based on Low Gain Avalanche Diode technology, able to measure the time of a hit with a temporal precision of ~30 ps. The application of this technology in HL-LHC experiments requires unaltered temporal performances at fluences of the order of 1E15 neq/cm2, making the radiation resistance a key point of this technology. Past UFSD productions, fabricated by Fondazione Bruno Kessler (FBK), demonstrated the improvement of radiation hardness when the gain implant is enriched with carbon. In past FBK productions, shallow and deep gain implants have been enriched with carbon doses from 0.4 to 10 a.u., with the aim of mapping the carbon effect as a function of carbon dose. This contribution will illustrate how the carbon dose that maximizes the radiation resistance of the gain implant has been identified, and that, in combination with a deep gain implant, allows to maintain unchanged performances up to 2.5E15 neq/cm2.

Funding information Università del Piemonte Orientale
TIPP2020 abstract resubmission? No, this is an entirely new submission.

Primary author

Marco Ferrero (Universita e INFN Torino (IT))


Nicolo Cartiglia (INFN Torino (IT)) Roberta Arcidiacono (Universita e INFN Torino (IT)) Marco Costa (Universita e INFN Torino (IT)) Valentina Sola (Universita e INFN Torino (IT)) Marco Mandurrino (INFN) Marta Tornago (Universita e INFN Torino (IT)) Federico Siviero (Universita e INFN Torino (IT)) Matteo V Meth Milanesio Maurizio Boscardin (FBK Trento) Giovanni Paternoster (Fondazione Bruno Kessler) Giacomo Borghi (Fondazione Bruno Kessler) Matteo Centis Vignali (FBK) Andrea Ficorella Prof. Gian Franco Dalla Betta (Universita degli Studi di Trento and INFN (IT)) Lucio Pancheri (University of Trento) Luca Menzio (Università degli Studi di Torino) Dr Omar Hammad Ali (FBK)

Presentation materials