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Analysis of counting data: Development of the SATLAS Python package
For the analysis of low-statistics counting experiments, a traditional nonlinear least squares minimization routine may not always provide correct parameter and uncertainty estimates due to the assumptions inherent in the algorithm(s). In response to this, a user-friendly Python package (SATLAS) was...
| Autores principales: | , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.cpc.2017.09.012 http://cds.cern.ch/record/2625092 |