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...

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Bibliographic Details

Published in:	Computer physics communications Vol. 222; pp. 286 - 294
Main Authors:	Gins, W., de Groote, R.P., Bissell, M.L., Granados Buitrago, C., Ferrer, R., Lynch, K.M., Neyens, G., Sels, S.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2018
Subjects:	Chi-square Counting experiment Data analysis Likelihood Python 3 Python 3 Counting experiment Data analysis Chi-square Likelihood
ISSN:	0010-4655, 1879-2944
Online Access:	Get full text
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