On the Self-Consistency of Scale-Setting Methods
Stanley J. Brodsky, Hung Jung Lu

TL;DR
This paper evaluates different self-consistency criteria for scale-setting methods in theoretical physics, highlighting the shortcomings of the widely used Principle of Minimum Sensitivity (PMS).
Contribution
It introduces and analyzes self-consistency conditions, demonstrating that PMS fails to meet these criteria, thus questioning its reliability.
Findings
PMS does not satisfy the proposed self-consistency conditions.
Alternative scale-setting methods may be more consistent.
The analysis guides better choices for scale-setting in theoretical calculations.
Abstract
We discuss various self-consistency conditions for scale-setting methods. We show that the widely used Principle of Minimum Sensitivity (PMS) is disfavored since it does not satisfy these requirements.
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Taxonomy
TopicsNeural Networks and Applications
