Skip to main navigation Skip to search Skip to main content

Development of novel low-mass module concepts based on MALTA monolithic pixel sensors

  • J. Weick
  • , F. Dachs
  • , P. Riedler
  • , M. Vicente Barreto Pinto
  • , A. Zoubir
  • , L. Flores Sanz de Acedo
  • , I. Asensi Tortajada
  • , V. Dao
  • , D. Dobrijevic
  • , H. Pernegger
  • , M. Van Rijnbach
  • , A. Sharma
  • , C. Solans Sanchez
  • , R. de Oliveira
  • , D. Dannheim
  • , J. Schmidt
  • CERN
  • Technische Universität Darmstadt
  • University of Geneva
  • University of Zagreb
  • University of Oslo
  • Karlsruhe Institute of Technology

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The MALTA CMOS monolithic silicon pixel sensors has been developed in the Tower 180 nm CMOS imaging process. It includes an asynchronous readout scheme and complies with the ATLAS inner tracker requirements for the HL-LHC. Several 4-chip MALTA modules have been built using Al wedge wire bonding to demonstrate the direct transfer of data from chip-to-chip and to read out the data of the entire module via one chip only. Novel technologies such as Anisotropic Conductive Films (ACF) and nanowires have been investigated to build a compact module. A lightweight flex with 17 μm trace spacing has been designed, allowing compact packaging with a direct attachment of the chip connection pads to the flex using these interconnection technologies. This contribution shows the current state of our work towards a flexible, low material, dense and reliable packaging and modularization of pixel detectors.

Original languageEnglish
Article numberC04003
JournalJournal of Instrumentation
Volume18
Issue number4
DOIs
StatePublished - Apr 1 2023

Keywords

  • Manufacturing
  • Overall mechanics design (support structures and materials, vibration analysis etc.)
  • Solid state detectors

Fingerprint

Dive into the research topics of 'Development of novel low-mass module concepts based on MALTA monolithic pixel sensors'. Together they form a unique fingerprint.

Cite this