Precise determination of the muon anomalous magnetic moment (g-2)μ; the CKM matrix element Vud from beta decay, and the weak mixing angle from parity-violating electron scattering. Associated novel constraints (or discovery) of physics beyond the SM.

Address the “proton-radius puzzle” via combined data-theory analyses of new results in atomic spectroscopy (laser spectroscopy of Hydrogen molecules and molecular ions, muonic atoms, He+ ions, positronium, and muonium) and very-low momentum transfer (Q2) lepton-proton elastic scattering at various energies.

Development of combined software, data sharing, and methodologies in lattice QCD theory across Europe along 4 axes: (i) hadron spectroscopy and structure, (ii) hadrons under extreme conditions, (iii) hadrons in thae SM and beyond, (iv) novel numerical algorithms and computing for lattice hadron physics.

Development of a common data-theory analysis framework to determine exotic hadrons properties (new mesons and baryons, onia, dibaryon, multi-quark, glueballs, hybrids...) by fitting new experimental data (MAMI, TJNAF, BESIII, COMPASS, LHCb and ALICE at CERN) to lattice QCD and effective-field-theory predictions.
Multi-prong improved data selection (trigger-detector-less data acquisition, deadtime-free frontend electronics, Field Programmable Array (FPGA) based online selection) plus distributed physics analysis (partial wave analysis of resonances, and multi-particle correlations) for rare signal events under high background conditions (multi-PByte/month) in anti-p-p, anti-p-A, and A-A collisions for the PANDA and CBM experiments at the future FAIR facility.
Address the “neutron stars hyperon puzzle” (contradiction between the observation of 2-solarmasses neutron stars and microscopical predictions of a softening of the nuclear equation-of-state due to the presence of strange-quark hadrons) through combined theoretical and experimental studies of (anti)hypernuclei and bound strange-meson systems produced in hadronic collisions at various c.m. energies.
  This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824093
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