| Title |
High Level Trigger applications for the ALICE experiment |
Submitted |
26-JAN-07 07:47 (UTC -06:00) |
| Classification |
Online Processing Farms and High Level Triggers |
Modified |
26-JAN-07 07:51 (UTC -06:00) |
| Session |
OPF-HLT |
Presentation |
Oral |
| Speaker |
Matthias Richter |
Paper ID |
OPF-HLT01 |
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Paper PDF |
Download |
| Author(s) |
Matthias Richter (UoB, 5007 Bergen) |
| Abstract |
In the ALICE experiment at the LHC, the expected data rate for Pb-Pb collisions is about 25 GB/s while the limit of the DAQ system is 1.2 GB/s. A High Level Trigger (HLT) consisting of a computing cluster of several hundred dual-processor nodes is installed, allowing on-line data processing at the full input rate and efficient data rate reduction. The on-line event reconstruction is carried out by specific processing components for local pattern recognition, tracking, and event merging. Based on the analysis of the reconstructed event, trigger decisions are calculated and transmitted to DAQ. Data reduction is mainly achieved by partial detector read-out, intelligent event selection, and data compression algorithms. Further HLT applications include event summary, detector monitoring, and calculation of calibration data. A major system integration test was carried out during the commissioning of the Time Projection Chamber (TPC). For the commissioning of the experiment, HLT is currently prepared to run on-line data analysis for the main detectors The talk focuses on applications and component development. Benchmarks and results from TPC and HLT pre-commissioning will be presented. |
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Word Count: 178 Character Count: 1177 |
| Footnote |
Coauthors S.Bablok, C.Cheshkov, P.T.Hille, V.Lindenstruth, G.Ovrebekk, M.Ploskon, S.Popescu, D.Rohrich, T.M.Steinbeck, J.Thaeder |
| Funding Agency |
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