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Adaptive scanning - a proposal how to scan theoretical predictions over a multi-dimensional parameter space efficiently

Oliver Brein
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Abstract

A method is presented to exploit adaptive integration algorithms using importance sampling, like VEGAS, for the task of scanning theoretical predictions depending on a multi-dimensional parameter space. Usually, a parameter scan is performed with emphasis on certain features of a theoretical prediction. Adaptive integration algorithms are well-suited to perform this task very efficiently. Predictions which depend on parameter spaces with many dimensions call for such an adaptive scanning algorithm.

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Oliver Brein. 2004-07-29. Adaptive scanning - a proposal how to scan theoretical predictions over a multi-dimensional parameter space efficiently. https://doi.org/10.1016/j.cpc.2005.03.104

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