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PDF4BSM Report Summary

Project ID: 335260
Funded under: FP7-IDEAS-ERC
Country: Netherlands

Periodic Report Summary 3 - PDF4BSM (Parton Distributions in the Higgs Boson Era)

The research project “PDF4BSM: Parton Distributions in the Higgs Boson Era” aims to achieve a paradigm shift in the determination of the parton distribution functions (PDFs) of the proton and thus to provide a vital contribution to the exploitation of the scientific output of the Large Hadron Collider (LHC) program at the high-energy frontier. Parton Distributions encode the non-perturbative dynamics that determine the fraction of the protons energy carried by quarks and gluons, and are determined from a so-called global analysis which combines state-of-the-art theory calculations and a variety of precision experimental measurements with a modern robust statistical fitting methodology. The main achievements of these project so far have been the public release of two new global PDF analyses, NNPDF3.0 and NNPDF3.1, based on the most updated experimental data on PDF-sensitive measurements as well as in the striking recent progress on NNLO calculations in quantum chromodynamics. The exploitation of Machine Learning techniques has been instrumental in this respect, since the NNPDF fitting methodology is based on artificial neural networks as universal unbiased interpolants coupled to genetic algorithms for its training. Other important outputs of this project have been the exploration of the connection between our understanding of the proton structure and high-energy astrophysics. where we have shown how to use LHC data to provide accurate predictions for signal and background events for ultra-high energy neutrino telescopes such as IceCube and KM3NET. We have also studied the implications of PDF fits for searches for New Physics beyond the Standard Model at the LHC, and showed how the large theoretical uncertainties that effect the production cross-sections for massive new particles, for instance in supersymmetry, can be tamed by means of the contraints from PDF-sensitive measurements at the LHC.

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