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7th International Workshop on Ring Imaging Cherenkov detectors (RICH 2010)

2–7 mai 2010
Oustau Calendal Conference Center
Fuseau horaire Europe/Paris

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Session

Pattern recognition and data analysis

6 mai 2010, 11:45
Oustau Calendal Conference Center

Oustau Calendal Conference Center

Cassis, France

Documents de présentation

Aucun document.

  1. 79. Measuring the masses of the charged hadrons using a RICH as a precision velocity spectrometer
    Peter Cooper (Fermilab)
    06/05/2010 11:45
    Pattern recognition and data analysis
    Oral presentation
    The Selex experiment measured several billion charged hadron tracks with a high precision magnetic momentum spectrometer and high precision RICH velocity spectrometer. We have analyzed these data to simultaneously measure the masses of all the long lived charged hadrons and anti-hadrons from the pion to the Omega- using the same detectors and techniques. The statistical precision achievable...
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  2. 27. Method of identification of rings in spectra from RICH detectors using the deconvolution based pattern recognition algorithm
    Dr Vladislav Matoušek (Institute of Physics, Slovak Academy of Sciences)
    06/05/2010 12:10
    Pattern recognition and data analysis
    Oral presentation
    With the advancement of position sensitive low energy photon detectors with high quantum efficiency a ring imaging Cherenkov detector (RICH) becomes employed in increasing number of experiments. Trajectories of the particles with the momentum above Cherenkov photon emission threshold are in the RICH photon detector represented by rings. However, these rings are far from being ideal....
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  3. 34. Pattern recognition for TOP counter
    M. Marko Staric (Jozef Stefan Institute Slovenia)
    06/05/2010 12:35
    Pattern recognition and data analysis
    Oral presentation
    For the Belle II detector a time-of-propagation (TOP) counter is foreseen for particle identification in the barrel region. In this counter particle identity is determined from a complicated pattern in the time and position of Cherenkov photon detection. We will present an extended likelihood method for particle identification, which is based on an analytical construction of likelihood...
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  4. 75. Particle identification with a track fit chi-square
    Dr Ferenc Sikler (KFKI Research Institute for Particle and Nuclear Physics)
    06/05/2010 17:30
    Pattern recognition and data analysis
    Oral presentation
    Tracker detectors can be used to identify charged particles based on their global chi value obtained during track fitting with the Kalman filter. The proposed method is independent of the traditional way of identification using deposited energy. This approach builds upon the knowledge of detector material and local position resolution, using the known physics of multiple scattering and...
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  5. 104. Reconstruction and Particle Identification Performance of the LHCb RICH detector
    Dr Andrew Powell (University of Oxford)
    06/05/2010 17:55
    Pattern recognition and data analysis
    Oral presentation
    Particle identification in the LHCb experiment is provided by two RICH detectors, covering a momentum range between 1 and 100 GeV/c. In order to maintain the integrity of the LHCb physics performance, it is essential to measure and monitor the particle identification efficiency and misidentification fraction over time. To achieve this, the unique kinematics associated with K-short, Lambda and...
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