Speaker
Pavel Nadolsky
(Southern Methodist University)
Description
The publicly available PDFSense analysis package provides a variety
of tools for quantifying the potential impact of experimental data on
the extraction of PDFs. Our approach relies crucially on the Hessian
correlation between theory-data residuals and the PDFs themselves, as
well as on a newly defined quantity — the sensitivity — which
represents an extension of the correlation and reflects both
PDF-driven and experimental uncertainties. This offers a new means of
understanding the influence of individual measurements in existing
fits, as well as a predictive device for future facilities; toward this
goal, we examine pseudo-data from the EIC, LHeC, and HL-LHC. Along
the way, many new physics insights can be gained or reinforced.
Primary authors
Fred Olness
TIMOTHY J HOBBS
(Southern Methodist University)
Pavel Nadolsky
(Southern Methodist University)
