Peak finding through Scan Statistics

✍ Scribed by Francesco Terranova

• Publisher: Elsevier Science
• Year: 2004
• Tongue: English
• Weight: 241 KB
• Volume: 519
• Category: Article
• ISSN: 0168-9002
• DOI: 10.1016/j.nima.2003.10.091

✦ Synopsis

We discuss the conditions under which Scan Statistics (SS) can be fruitfully implemented to signal a departure from the underlying probability model that describes the experimental data. It is shown that local perturbations (''bumps'' or ''excesses'' of events) are better dealt within this framework and in general, tests based on these statistics provide a powerful and unbiased alternative to the traditional techniques related with the w 2 and Kolmogorov distributions. Approximate formulas for the computation of SS in the range of interest for high energy and nuclear physics applications are also presented.