13–17 Feb 2006
Tata Institute of Fundamental Research
Europe/Zurich timezone

Reconstruction and calibration strategies for the LHCb RICH detector

13 Feb 2006, 11:00
7h 10m
Tata Institute of Fundamental Research

Tata Institute of Fundamental Research

Homi Bhabha Road Mumbai 400005 India
poster Event processing applications Poster

Speakers

Cristina Lazzeroni (University of Cambridge)Dr Raluca-Anca Muresan (Oxford University)

Description

The LHCb experiment will make high precision studies of CP violation and other rare phenomena in B meson decays. Particle identification, in the momentum range from ~2-100 GeV/c, is essential for this physics programme, and will be provided by two Ring Imaging Cherenkov (RICH) detectors. The experiment will use several levels of trigger to reduce the 10MHz rate of visible interactions to the 2kHz that will be stored. The final level of the trigger has access to information from all sub-detectors. The standard offline RICH reconstruction involves solving a quartic equation that describes the RICH optics for each hit in the RICH detector, then using a global likelihood minimization, combining the information from both RICH detectors along with tracking information, to determine the best particle hypotheses. This approach performs well but is vulnerable to background from rings without associated tracks. In addition, the time needed to run the algorithm is of the order of 100 ms per event which is to be compared with the time of order 10 ms available to run the entire final level trigger. Alternative RICH reconstruction algorithms are being investigated that complement the standard procedure. First, algorithms of greater robustness, less reliant on the tracking information, are being developed, using techniques such as Hough transforms and Metropolis Hastings Markov chains. Secondly, simplified algorithms with execution times of order 3 ms, suitable for use in the online trigger are being evaluated. Finally, optimal performance requires a calibration procedure that will enable the performance of the pattern recognition to be measured from the experimental data. This paper describes the the performance of the different RICH reconstruction algorithms studied and reports on the strategy for RICH calibration in LHCb.

Primary authors

Dr Chris Jones (Cambridge University) Cristina Lazzeroni (University of Cambridge) Dr Guy Wilkinson (Oxford University) Mitesh Patel (CERN) Dr Raluca-Anca Muresan (Oxford University) Roger Forty (CERN)

Presentation materials