Session

Pixel system performance

10 Dec 2018, 09:00
Activity Center (Academia Sinica, Taipei)

Activity Center

Academia Sinica, Taipei

128 Academia Road, Section 2, Nankang, Taipei 11529, Taiwan

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  1. Martin Kocian (SLAC National Accelerator Laboratory (US))
    10/12/2018, 09:00
    ORAL

    The tracking performance of the ATLAS detector relies critically on its 4-layer Pixel Detector, that has undergone significant hardware and readout upgrades to meet the challenges imposed by the higher collision energy, pileup and luminosity that are being delivered by the Large Hadron Collider (LHC), with record breaking instantaneous luminosities of 2 x 1034 cm-2 s-1 recently surpassed.
    The...

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  2. Mr Florian Luetticke (University of Bonn)
    10/12/2018, 09:25
    Pixel sensor technology
    ORAL

    The Japanese Super flavor factory, SuperKEKB, is in its final commissioning phase and will start operating in 2019. This new $e^+/e^-$- machine will deliver an instantaneous luminosity of $8\times10^{35}\mathrm{cm}^{-2}\mathrm{s}^{-1}$, 40 times higher than the current world record. A new detector, Belle II, is needed to exploit the high event rate and provide high precision measurements of...

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  3. Benedikt Vormwald (Hamburg University (DE))
    10/12/2018, 09:50
    Applications in nuclear and high energy physics
    ORAL

    In 2017, CMS has installed a new pixel detector with 124M channels that features full 4-hit coverage in the tracking volume and is capable to withstand instantaneous luminosities of $2\cdot10^{34} \mathrm{cm}^{-2} \mathrm{s}^{-1}$ and beyond. By now the detector has been successfully operated for two years in p-p and heavy ion collisions. Besides many improvements of the DAQ system, the...

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  4. Dr Fengwangdong Zhang (University of California Davis (US))
    10/12/2018, 10:15
    Radiation effects
    ORAL

    A new pixel online monitoring system has been developed to give a fast and intuitive view of the detector performance both offline and online. The source script was written modularly in Python programming language in association with the SQLite and Java languages. It establishes a connection with the CMS detector monitoring database, and extracts and stores detector information into a local...

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