Performance of thin planar n-on-p silicon pixels after HL-LHC radiation fluences
- 1. LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris (France)
Description
The tracking detector of ATLAS, one of the experiments at the Large Hadron Collider (LHC), will be upgraded in 2024–2026 to cope with the challenging environment conditions of the High Luminosity LHC (HL-LHC). The LPNHE, in collaboration with FBK and INFN, has produced thick silicon pixel sensors which can withstand the expected large particle fluences at HL-LHC, while delivering data at high rate with excellent hit efficiency. Such sensors were tested in beam before and after irradiation both at CERN-SPS and at DESY, and their performance are presented in this paper. Beam test data indicate that these detectors are suited for all the layers where planar sensors are foreseen in the future ATLAS tracker: hit-efficiency is greater than 97% for fluences of and module power consumption is within the specified limits. Moreover, at a fluence of , hit-efficiency is still as high as 88% and charge collection efficiency is about 30%.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.nima.2019.02.033Additional details
Identifiers
- DOI
- 10.1016/j.nima.2019.02.033;
- PII
- S0168900219302165;
Publishing Information
- Journal Title
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Journal Volume
- 927
- Journal Page Range
- p. 219-229
- ISSN
- 0168-9002
- CODEN
- NIMAER
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 56005433
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- CERN LHC; CERN SPS SYNCHROTRON; DESY; EFFICIENCY; PARTICLE TRACKS; SILICON
- Descriptors DEC
- ACCELERATORS; CYCLIC ACCELERATORS; ELEMENTS; SEMIMETALS; STORAGE RINGS; SYNCHROTRONS
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier B.V. All rights reserved.