27–30 Sept 2021
Oxford
Europe/London timezone

MONOLITH – picosecond time stamping in fully monolithic highly-granular pixel sensors

30 Sept 2021, 15:55
15m
VIRTUAL (Oxford)

VIRTUAL

Oxford

Speaker

Magdalena Munker (CERN)

Description

The aim of the MONOLITH H2020 ERC Advanced project is to develop fully monolithic highly granular pixel sensors with picosecond time stamping capabilities. To reach a picosecond precise sensor response, a thin gain layer has been implemented deep inside a high-resistivity epitaxial layer. By moving the gain layer away from the pixel implantation, the pixel size can be reduced down to 50 µm, allowing to simultaneously reach a high spatial precision. Making use of a SiGe BiCMOS 130 nm process technology, a fast and low noise frontend response has been realised. 3D TCAD simulations have been developed for a detailed insight and understanding of the sensor and have been used to optimise the gain layer and epitaxial layer doping levels as well as the pixel edge structures. Several prototypes with different doping levels and different complexity of in-pixel circuitry have been produced in this technology to investigate and optimise their performance in terms of e.g. sensor gain and time stamping capability. Laboratory and test-beam measurements have been made, with a focus on sensor gain, detection efficiency and time resolution.
This talk will introduce the MONOLITH project and summarise the main measurement and simulation results.

Authors

Antonio Picardi (Universite de Geneve (CH)) Magdalena Munker (CERN) Chiara Magliocca (Universite de Geneve (CH)) Didier Ferrere (Universite de Geneve (CH)) Fulvio Martinelli (EPFL - Ecole Polytechnique Federale Lausanne (CH)) Giuseppe Iacobucci (Universite de Geneve (CH)) Holger Ruecker (ihp-microelectronics) Lorenzo Paolozzi (CERN) Marzio Nessi (CERN) Mateus Vicente Barreto Pinto (Universite de Geneve (CH)) Matteo Milanesio (Universite de Geneve (CH)) Pierpaolo Valerio (CERN) Rafaella Eleni Kotitsa (Universite de Geneve (CH)) Roberto Cardarelli (INFN e Universita Roma Tor Vergata (IT)) Roberto Cardella (Universite de Geneve (CH)) Sergio Gonzalez Sevilla (Universite de Geneve (CH)) Theo Moretti (Universite de Geneve (CH)) Yana Gurimskaya (CERN)

Presentation materials