Statistics – Computation
Scientific paper
Nov 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997phdt.......171k&link_type=abstract
Thesis (PhD). HELSINGIN YLIOPISTO (FINLAND), Source DAI-C 61/01, p. 243, Spring 2000, 124 pages.
Statistics
Computation
Scientific paper
In high energy physics experiments done with particle accelerators, collisions of particles occur with a very high rate. However, only a small fraction of these reactions are important for the physics goals of the experiment. The task of trigger system is to find when a reaction has occurred and to select those reactions that are valuable. In modern experiments the selection occurs on multiple levels. The subject of this research has been to develop a second level trigger system using a parallel processing system consisting of altogether 48 microprocessors. The research mainly concentrates on the structure and performance of this system. The task of this system is to recognise the tracks that the secondary particles created in a collision of high- energy particles have left in the central detector of the VENUS experiment. Based on the found tracks, the momentum of the particles can be calculated and interesting reactions can be separated from the unnecessary background. Using parallel processing in real-time computing tasks has problems like the difficulty to predict the processing time for execution of the programs. The trigger system has to complete its processing within the time constraints imposed by the other parts of the experiment data acquisition system. Due to this, it is extremely important to be predict the processing time. On the other hand, the performance gain from the parallelism is indispensable for the successful operation of the system. In the research, models for the computation were developed in order to better understand the factors that affect the performance. Based on the models, the software was improved and the performance was improved by even a factor of ten. The predictions of the model and test results with experiment data are in good agreement. In addition, the prospects of applying of the experiences and results in a future project and a general description of the VENUS experiment and its physics study programme are presented in the thesis.
Korhonen Timo Tapani
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