A New Technique for Finding Needles in Haystacks: A Geometric Approach   to Distinguishing Between a New Source and Random Fluctuations
  We propose a new test statistic based on a score process for determining the statistical significance of a putative signal that may be a small perturbation to a noisy experimental background. We derive the reference distribution for this score test statistic; it has an elegant geometrical interpretation as well as broad applicability. We illustrate the technique in the context of a model problem from high-energy particle physics. Monte Carlo experimental results confirm that the score test results in a significantly improved rate of signal detection. 
Ramani S. Pilla, Catherine Loader, and Cyrus Taylor