Speaker
Matthew Reader
Description
As experimental data is becoming more precise, understanding the impact of the uncertainties in the errors,
especially the systematic errors, is increasingly becoming a significant focus of PDF groups. In this talk I will
explain how the error on errors can be modelled and how this framework can be applied to both uncorrelated
and correlated systematic errors. We will then investigate what this can tells us about the ATLAS W,Z dataset.
We will then discuss the process of decorrelation, and examine the impact on the $\chi^2$ using different
procedures We will then introduce a different way to consider decorrelation. Lastly we will investigate
asymmetric systematic errors and examine the impact on the $\chi^2$ using different approaches.
Author
Co-author
Robert Samuel Thorne
(University College London (UK))
