(MCnet/LHAPDF) Online dashboard and data-visualisation for parton density functions

At the Large Hadron Collider (LHC), protons collide at the highest energies achieved by humanity, unravelling the particles within. To decode these collisions, scientists rely on parton density functions (PDFs), which shed light on the proton's internal makeup. These PDFs are called millions of times in the creation of every simulated event dataset at the LHC, highlighting the necessity for improved visualization tools. Given that PDFs play a critical role yet introduce significant uncertainty in LHC research, there's a need for tools that offer clearer and more precise analysis. We propose to develop a web dashboard and a live plotting tool focused on vizualizing PDFs. This setup will facilitate the comparison of various PDF fits and their uncertainty margins, which are crucial for the accurate interpretation of LHC results. Our motivation is driven by the dual role of PDFs: as indispensable tools for simulation in LHC research and as major sources of uncertainty. Enhancing visualization capabilities will allow physicists to deeply explore the differences between PDF fits and their uncertainty-variations, aiding in more accurate interpretations of LHC data.