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Banff Challenge 2

Experimental particle physics collaborations constantly seek newer and better ideas for improving the sensitivity of their searches for new particles and phenomena. Statistical techniques are the last step in interpreting the results of an experiment; they are used to make discoveries (hypothesis te...

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Detalles Bibliográficos
Autor principal: Junk, Thomas R
Lenguaje:eng
Publicado: 2011
Materias:
Acceso en línea:https://dx.doi.org/10.5170/CERN-2011-006.57
http://cds.cern.ch/record/2203235
Descripción
Sumario:Experimental particle physics collaborations constantly seek newer and better ideas for improving the sensitivity of their searches for new particles and phenomena. Statistical techniques are the last step in interpreting the results of an experiment; they are used to make discoveries (hypothesis testing), and to measure parameters (point estimation). They are also used in the first step - experiment and analysis design. Banff Challenge 2 asks participants to test their methods of disco vering hidden signals in simulated datasets and of measuring the properties of these signals. The Challenge problems are described, and the performances of the submitted entries is summarized, for datasets with and without simulated signals present.