Optimized Discretization of Sources Imaged in Heavy{ion Reactions
نویسنده
چکیده
Imaging techniques are used in many diverse areas such as geophysics, astronomy, medical diagnostics, and police work. The goal of imaging varies widely from determining the density of the Earth’s interior to reading license plates from blurred photographs to issue speeding fines. A typical linear imaging problem involves extracting a source from measured data, where the data is represented as the convolution of a kernel with a source. An example of this is imaging the angle averaged relative source function SP(r) from the angle averaged two-particle correlation function, CP(q), often measured in nuclear reactions [1]: CP(q) 1 RP(q) = 4 Z drrK0(q; r)SP(r) : (1)
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