Connecting The Dots 2018

Session

Session4

21 Mar 2018, 14:00

Physics-Astronomy Auditorium A118 (University of Washington Seattle)

Conveners

Session4: Session4

• Andreas Salzburger (CERN)

23. Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks with Accurate Detector Geometry

Matevz Tadel (Univ. of California San Diego (US))

21/03/2018, 14:00

2: Real-time pattern recognition and fast tracking

Oral

In the era of the High-Luminosity Large Hadron Collider (HL-LHC), one of the most computationally challenging problems is expected to be finding and fitting particle tracks during event reconstruction. The algorithms currently in use at the LHC are based on Kalman filter techniques, which are known to be robust and provide good physics performance. Given the need for improved computational...

9. Track Reconstruction in the ALICE TPC using GPUs for LHC Run 3

David Rohr for the ALICE Collaboration (CERN)

21/03/2018, 14:30

2: Real-time pattern recognition and fast tracking

Oral

In LHC Run 3, ALICE will increase the data taking rate significantly to 50 kHz continuous read out of minimum bias Pb-Pb collisions.
The reconstruction strategy of the online offline computing upgrade foresees a first synchronous online reconstruction stage during data taking enabling detector calibration, and a posterior calibrated asynchronous reconstruction stage.
We present a tracking...

40. Tracking Algorithms in the Belle II Drift Chamber with first pilot run results

Nils Braun (KIT), Nils Braun (KIT)

21/03/2018, 15:00

1: Algorithms and theoretical analysis

Oral

Belle II - located at the $e^+e^-$ collider SuperKEKB operating at the $\Upsilon (4\mathrm S)$ energy - starts its first data taking run in February 2018.
Its ultimate goal is to measure with high precision multifaceted quantities in the flavor-sphere and explore the many opportunities beyond, e.g. exotic hadronic states, afforded by its record-breaking instantaneous luminosity of $8\cdot...

41. Belle II Tracking in Phase III with the Full Detector

Felix Metzner (Karlsruhe Institute of Technology)

21/03/2018, 15:20

1: Algorithms and theoretical analysis

Oral

11. Track Reconstruction in the Pixel Detector for CMS High-Level Trigger using GPUs

Shashi Dugad (Tata Inst. of Fundamental Research (IN))

2: Real-time pattern recognition and fast tracking

Oral

The pixel detector in the CMS experiment has been upgraded with additional 4th barrel layer and 3rd forward disk while maintaining same pixel dimension (150 x 100 μm2). Due to large volume of data from pixel detector, the processing power of the HLT CPUs is not sufficient to reconstruct tracks from all events. However, many trigger paths would benefit from pixel tracks to increase their...