Integrated Modeling of Alpha Particle Losses in JET DT Plasmas

Alpha particle confinement is crucial for sustaining burning plasmas and designing future reactor concepts. Along with classical/prompt losses, various MHD instabilities can lead to wave-particle interactions which can transport alpha particles outward from the plasma. This can result in a reduction in plasma heating/performance, and, at worst, damage in-vessel components. JET's recent DT campaigns in 2021-2023 have produced numerous alpha particle loss measurements with its scintillator probe and Faraday cup fast ion loss detectors (FILDs). This presentation will report on supportive integrated modeling of these measurements. In particular, case studies are performed on a variety of MHD, including: fishbones, neoclassical tearing modes (NTMs), kink modes, and sawtooth crashes. Additionally, a special case of an alpha-driven toroidal Alfv\'{e}n eigenmode (TAE) will be briefly discussed. Lastly, the impact of toroidal field ripple and its interplay with instabilities will be discussed. The modeling is accomplished with the TRANSP and ORBIT-kick codes with the use of recently developed reduced models for calculating mode structure, amplitude, and dynamics. When possible, constraints and comparisons to experiment are conducted with some mode structures taken from analytic theory.