9th International Workshop on Ring Imaging Cherenkov Detectors (RICH 2016)

Session

Pattern recognition and data analysis

6 Sept 2016, 16:35

Bled, Slovenia

Conveners

Pattern recognition and data analysis: I

• Jurgen Engelfried (Instituto de Fisica, Universidad Autonoma de San Luis Potosi, Mexico)
• Roger Forty (CERN)

Pattern recognition and data analysis: II

• Roger Forty (CERN)
• Jurgen Engelfried (Instituto de Fisica, Universidad Autonoma de San Luis Potosi, Mexico)

25. Real-time calibration and alignment of the LHCb RICH detectors

Jibo He (University of Chinese Academy of Sciences (CN))

06/09/2016, 16:35

Pattern recognition and data analysis

Oral presentation

The Ring Imaging Cherenkov (RICH) detectors of the LHCb experiment provide particle identification (PID) of charged particles in the momentum range of 2-100 GeV. This is essential for the LHCb core physics program. As the center-of-mass energy of the LHC has been increased from 8 TeV to 13 TeV, and the LHCb experiment will upgrade from 2021 and run at a 4-times higher luminosity than the...

34. Alignment and calibration methods for the Belle II TOP counter

Marko Staric

06/09/2016, 17:00

Pattern recognition and data analysis

Oral presentation

At the Belle II detector a Time-of-Propagation (TOP) counter will be
used for particle identification in the barrel region. The Belle II TOP
counter consists of sixteen 2.7 m long modules positioned in the space
between the central drift chamber and the electromagnetic calorimeter. The counter
is now under final installation into the Belle II detector. We will discuss
the methods for the...

35. Real-time track-less Cherenkov ring fitting trigger system based on Graphics Processing Units

Massimiliano Fiorini (Universita di Ferrara & INFN (IT))

06/09/2016, 17:25

Pattern recognition and data analysis

Oral presentation

In rare decays experiments an effective online selection is mandatory for the data acquisition system in order to reduce data bandwidth and save storage resources. The NA62 experiment at CERN studies ultra-rare kaon decays and makes use of a three-levels trigger system to reduce the 10 MHz incoming events rate of about three orders of magnitude before storage. The first trigger stage (L0) is a...

60. Contribution of the High Momentum Particle Identification Detector (HMPID) to the ALICE physics program

Dr Giacomo Volpe (Università & INFN, Bari)

07/09/2016, 09:10

Pattern recognition and data analysis

Oral presentation

The ALICE apparatus is dedicated to collect data coming from pp, p-Pb and Pb-Pb collisions provided by LHC, to study the properties of strongly interacting matter under extremely high temperature and energy density conditions. For such a task, enhanced particle identification capabilities are requested. Among the other PID ALICE detectors, the ALICE-HMPID (High Momentum Particle Identification...

74. Recent developments in software for the Belle II proximity focusing RICH with aerogel as a radiator

Luka Santelj (High Energy Accelerator Research Organization (KEK))

07/09/2016, 09:35

Pattern recognition and data analysis

Oral presentation

For the Belle II spectrometer a proximity focusing RICH counter with an aerogel radiator (ARICH) will be employed as a PID system in the forward end-cap region of the spectrometer. The detector will provide about 4$\sigma$ separation of pions and kaons up to momenta of 3.5 GeV/$c$, at the kinematic limits of the experiment. We present the up-to-date status of the ARICH simulation and...