General HEP paradigm
The approach adopted in HEP at Manchester is similar to Identification Techniques available in engineering. Instead of executing the prototype, an experiment is planned to acquire the information about the process they want to study. A mathematical model abstracts the system complexity and produces some forecast. The model is simulated using Monte Carlo techniques, to produce a data forecast to be validated through the experiment. The physicists acquire data from the real experiment, and the goal is to reduce the discrepancy between the forecasted data and the events acquired in the real experiment. There are several sources of uncertainty: the sensor transfer function is not known, several different reactions contribute to the same peak, etc.
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Feedback to: jamwer@hep.man.ac.uk |