22–28 May 2022
La Biodola - Isola d'Elba (Italy)
Europe/Rome timezone
submission of the proceedings for the PM2021 has been postponed to July 31, 2022

MALTA monolithic Pixel sensors in TowerJazz 180 nm technology

24 May 2022, 08:30
3h 45m

Speaker

Heinz Pernegger (CERN)

Description

Depleted Monolithic Active Pixel Sensors are of highest interest at the HL-LHC and beyond for the replacement of the Pixel trackers in the innermost radii of HEP experiments where maximum performance, and cost effectiveness is required. They aim to provide high granularity and low material budget over large surfaces and ease of integration. This research includes the development of radiation hard DMAPS with small collection electrode in TowerJazz 180 nm CMOS imaging technology with asynchronous read-out (MALTA sensor), design and fabrication of prototypes, and characterization under high demanding conditions. The MALTA sensor features a pixel pitch of 36um and has been optimised for radiation hardness and best possible time resolution. The presentation will summarise the latest measurement results for sensor design and process optimisation towards radiation hardness of >2x10^15 n_eq/cm^2 (NIEL) and 100Mrad (TID). Spatial emphasis will be given to the optimisation of its time-resolution of 2ns in order to utilise the sensor for demanding time-tagging applications in a fine-pitch pixel tracker.

Primary authors

Abhishek Sharma (CERN) Andrea Gabrielli (CERN) Craig Buttar (Glasgow) Daniela Bortoletto (Oxford) Heinz Pernegger (CERN) Carlos Solans (CERN) Dominik Dobrijevic (CERN, Zagreb) Florian Dachs (CERN) Francesco Piro (CERN) Heidi Sandacker (Oslo) Ignacio Asensi (CERN) Ivan Berdalovic (Zagreb) Jose Torres (CSIC Valencia) Kaan Oyulmaz (Bolu Abant Izzet Baysal) Laura Gonella (Birmingham) Leyre Flores (CERN) Mateusz Dyndal (CERN) Matt LeBlanc (CERN) Milou Van Rijnbach (CERN, Oslo) Patrick Freeman (Birmingham) Petra Riedler (CERN) Prof. Phillip Allport (Birmingham) Roberto Cardella (Geneva) Steven Worm (DESY) Tomislav Suligoj (Zagreb) Valerio Dao (CERN) Walter Snoeys (CERN)

Presentation materials