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Recent high precision experimental data from a variety of hadronic processesopens new opportunities for determination of the collinear parton distributionfunctions (PDFs) of the proton. In fact, the wealth of information fromexperiments such as the Large Hadron Collider (LHC) and others, makes itdifficult to quickly assess the impact on the PDFs, short of performingcomputationally expensive global fits. As an alternative, we explore newmethods for quantifying the potential impact of experimental data on theextraction of proton PDFs. Our approach relies crucially on the correlationbetween theory-data residuals and the PDFs themselves, as well as on a newlydefined quantity --- the sensitivity --- which represents an extension of thecorrelation and reflects both PDF-driven and experimental uncertainties. Thisapproach is realized in a new, publicly available analysis package PDFSense,which operates with these statistical measures to identify particularlysensitive experiments, weigh their relative or potential impact on PDFs, andvisualize their detailed distributions in a space of the parton momentumfraction x and factorization scale \mu. This tool offers a new means ofunderstanding the influence of individual measurements in existing fits, aswell as a predictive device for directing future fits toward the highest impactdata and assumptions.

PDFSense: Mapping the sensitivity of hadronic experiments to nucleon structure