A Nonparametric Peak Finder Algorithm and Its Application in Searches for New Physics

We have developed an algorithm for nonparametric fitting and extraction of statistically significant peaks in the presence of statistical and systematic uncertainties. Applications of this algorithm for analysis of high-energy collision data are discussed. In particular, we illustrate how to use thi...

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Veröffentlicht in:	Advances in High Energy Physics 2013-01, Vol.2013 (2013), p.137-140
Hauptverfasser:	Chekanov, S. V., Erickson, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Atoms & subatomic particles Data smoothing High energy physics Laboratories Monte Carlo method Physics Programming languages
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Beschreibung
Zusammenfassung:	We have developed an algorithm for nonparametric fitting and extraction of statistically significant peaks in the presence of statistical and systematic uncertainties. Applications of this algorithm for analysis of high-energy collision data are discussed. In particular, we illustrate how to use this algorithm in general searches for new physics in invariant-mass spectra using pp Monte Carlo simulations.
ISSN:	1687-7357 1687-7365
DOI:	10.1155/2013/162986