Inverse LGAD (iLGAD) periphery optimization for surface damage irradiation

Doblas, A., Flores, D., Hidalgo, S., Moffat, N., Pellegrini, G., Quirion, D., Villegas, J., Maneuski, D. , Ruat, M. and Fajardo, P. (2023) Inverse LGAD (iLGAD) periphery optimization for surface damage irradiation. Sensors, 23(7), 3450. (doi: 10.3390/s23073450)

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Abstract

Pixelated LGADs have been established as the baseline technology for timing detectors for the High Granularity Timing Detector (HGTD) and the Endcap Timing Layer (ETL) of the ATLAS and CMS experiments, respectively. The drawback of segmenting an LGAD is the non-gain area present between pixels and the consequent reduction in the fill factor. To overcome this issue, the inverse LGAD (iLGAD) technology has been proposed by IMB-CNM to enhance the fill factor and provide excellent tracking capabilities. In this work, we explore the use of iLGAD sensors for surface damage irradiation by developing a new generation of iLGADs, the periphery of which is optimized to improve the performance of irradiated sensors. The fabricated iLGAD sensors exhibit good electrical performances before and after X-ray irradiation.

Item Type:Articles
Additional Information:This work has been funded by the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033/) and by the European Union’s ERDF program “A way of making Europe”. Grant references: RTI2018-094906-B-C22 and PID2020-113705RB-C32. Also, it was funded by the European Union’s Horizon 2020 Research and Innovation funding program, under Grant Agreement No. 101004761 (AIDAInnova), and by the European Synchrotron Radiation Facility (ESRF).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Maneuski, Dr Dima
Authors: Doblas, A., Flores, D., Hidalgo, S., Moffat, N., Pellegrini, G., Quirion, D., Villegas, J., Maneuski, D., Ruat, M., and Fajardo, P.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Sensors
Publisher:MDPI
ISSN:1424-8220
ISSN (Online):1424-8220
Published Online:25 March 2023
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Sensors 23(7): 3450
Publisher Policy:Reproduced under a Creative Commons License

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