Event reconstruction in the CBM experiment

Kisel, I.

doi:10.1016/j.nima.2006.05.040

Cited by 68 publications

(27 citation statements)

References 4 publications

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“…The track reconstruction algorithm developed here is based on track following using the reconstructed tracks in the STS as seeds. The STS track reconstruction is based on the cellular automaton method [14] and STS track parameters are used as a starting point for the subsequent track prolongation. The track propagation has been performed using the Kalman filter procedure which takes the absorber and other materials into account [15,16].…”

Section: Track Propagationmentioning

confidence: 99%

Design and performance simulation of a segmented-absorber based muon detection system for high energy heavy ion collision experiments

Ahmad

Bhaduri

Jahan

et al. 2015

Nuclear Instruments and Methods in Physics Research Section A:

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Section: Track Propagationmentioning

confidence: 99%

Design and performance simulation of a segmented-absorber based muon detection system for high energy heavy ion collision experiments

Ahmad

Bhaduri

Jahan

et al. 2015

Nuclear Instruments and Methods in Physics Research Section A:

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“…Figure 6 shows that the presented algorithm requires 130 us per track independent from the detector occupancy, thus the combinatorial part of the algorithm is built optimally. The track reconstruction algorithm starts with a combinatorial search for track candidates (tracklets), which is based on the Cellular Automaton method [3]. Local parts of trajectories 1 For example, given n tracks producing hits in each of 159 TPC rows, the number of possible hit combinations to create a single track is equal to n 159 .…”

Section: Tpc Tracker Algorithmmentioning

confidence: 99%

ALICE HLT high speed tracking and vertexing

Gorbunov

Aamodt

Alt

et al. 2010

2010 17th IEEE-NPSS Real Time Conference

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The on-line event reconstruction in ALICE is performed by the High Level Trigger, which should process up to 2000 events per second in proton-proton collisions and up to 200 central events per second in heavy-ion collisions, corresponding to an input data stream of 30 GB/s. In order to fulfil the time requirements, a fast on-line tracker has been developed which can optionally use GPU hardware accelerators. The algorithm combines a Cellular Automaton method being used for a fast pattern recognition and the Kalman Filter method for fit of found trajectories and for the final track selection.A fast estimate of the vertex position is based on measurements from the Silicon Pixel Detector. The vertexer is used for the online monitoring of the ALICE interaction point.

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“…A cellular automaton algorithm and a Kalman filter were used to resolve the true hits from the large number of combinatorial hit points. Special versions of the code are being optimized for particular fast computing speed on many-core processors [10]. Silicon microstrip detectors compatible with this detector concept have been developed in cooperation of the CBM group at GSI and the CIS Research Institute for Micro Sensors and Photovoltaics, Erfurt, Germany [11].…”

Section: Pos(vertex 2008)017mentioning

confidence: 99%

Development of tracking detectors for FAIR

Heuser¹

2009

Proceedings of 17th International Workshop on Vertex Detectors — PoS(VERTEX 2008)

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The international research facility FAIR is under realization next to the GSI Laboratory in Darmstadt, Germany. Very intense, high-quality beams of primary and secondary ions will provide to a large scientific community unprecedented new research opportunities in the fields of nuclear, hadron, atomic and plasma physics. Advanced experimental instrumentation will be required, including several experiments comprising high-performance silicon tracking detector systems. This article reviews the concepts of the tracking detectors of the nuclear interaction experiment CBM, the hadron physics experiment PANDA, the nuclear structure and reaction experiments EXL and R 3 B, and presents progress with their development.

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Event reconstruction in the CBM experiment

Cited by 68 publications

References 4 publications

Design and performance simulation of a segmented-absorber based muon detection system for high energy heavy ion collision experiments

Design and performance simulation of a segmented-absorber based muon detection system for high energy heavy ion collision experiments

ALICE HLT high speed tracking and vertexing

Development of tracking detectors for FAIR

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