| Article | |
| Title | Signal discovery in sparse spectra: a Bayesian analysis |
| Author(s) | Beaujean, F (Munich, Max Planck Inst.) ; Caldwell, A (Munich, Max Planck Inst.) ; Kollár, D (CERN) ; Kröninger, K (Gottingen U., II. Phys. Inst.) ; Pashapour, S (Gottingen U.) |
| Publication | Geneva : CERN, 2011 |
| Imprint | 2011-01-17 |
| Number of pages | 5 |
| In: | Proceedings of the PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding, pp.138-142 |
| DOI | 10.5170/CERN-2011-006.138 |
| Subject category | Particle Physics - Experiment ; Detectors and Experimental Techniques |
| Abstract | A Bayesian analysis of the probability of a signal in the presence of backgroundis described. As an example, the method was used to calculate the sensitivity ofthe GERDA experiment to neutrinoless double beta decay. In addition, we discussthe use of consensus priors, the look-elsewhere-effect in Bayesian analysis andother topics. |
| Copyright/License | CC-BY-3.0 |
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