11–15 Apr 2016
Italy
Europe/Zurich timezone
There is a live webcast for this event.
Webcast: Only Plenary sessions on Monday and Friday, and the public event will be webcast

Session

Common Detector Technologies

Thu08
14 Apr 2016, 10:30
Italy

Italy

Crowne Plaza Hotel St. Peter's Via Aurelia Antica 415, 00165 Roma, Italy

Conveners

Common Detector Technologies

  • Pierluigi Campana (Laboratori Nazionali di Frascati (LNF))

Presentation materials

There are no materials yet.

  1. Walter Snoeys (CERN)
    14/04/2016, 10:30
    Experiments and Detectors
    Oral
    Recently monolithic silicon sensors integrating sensor and readout in one chip fabricated in standard CMOS technologies have been selected for STAR and ALICE where they offer low mass, high granularity, low cost and low power density. Major requirements for monolithic CMOS sensors to be adopted in more aggressive applications like FCC, are increased radiation tolerance and speed maintaining...
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  2. Prof. Dave Newbold (University of Bristol (GB) / Rutherford Appleton Laboratory (GB))
    14/04/2016, 10:50
    Experiments and Detectors
    Oral
  3. Georg Viehhauser (University of Oxford (GB))
    14/04/2016, 11:10
    Experiments and Detectors
    Oral
    In this presentation I will first discuss the requirements for the mechanics and cooling of the tracking system of a FCC-hadron experiment. I will then explore possible approaches, building on solutions developed for the LHC experiments and their upgrades, to satisfy these requirements.
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  4. Hans Kristian Soltveit (Ruprecht-Karls-Universitaet Heidelberg (DE))
    14/04/2016, 11:30
    Experiments and Detectors
    Oral
    Wireless techniques have developed extremely fast the last decade, and using them in particle physics detectors for data transfer is not science fiction any more. Tremendous advances in silicon technologies have made possible to build high performance transceivers operating in the mm band, where the 57-66 GHz band is situated. The use in the HEP environment has been triggered by the high data...
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