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Journal Article | FZJ-2021-00165 |
2020
Taylor & Francis
London [u.a.]
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Please use a persistent id in citations: http://hdl.handle.net/2128/26736 doi:10.1080/10619127.2020.1752092
Abstract: First, I should define what is meant by a precision prediction: A prediction is considered precise if it has a small (relative) theoretical uncertainty. This, however, does not imply that it agrees with an experiment. Also, the mentioned small uncertainty can be best quantified if we have an underlying counting rule based on some small parameter. Needless to say, a prediction without uncertainty makes little sense. Finally, in what follows I will mostly consider the interplay of precision predictions with the corresponding precise experiments.
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