Presentation #307.04 in the session Future Innovations in Gamma-ray Science Analysis Group.
Gamma-ray astronomy instrumentation and interpretation is heavily dependent on advances in computational advances and techniques. These range from instrument simulations, on-board triggers, to interpretation of observations with multiscale plasma simulations or analysis and exploration of unwieldy multidimensional parameter spaces. In this talk, I will discuss and solicit feedback from the community for a range of questions: (1) What theoretical or analysis (e.g. Machine Learning) advances are needed to maximize the impact of gamma-ray observations and low-level data products? (2) What connections to physics disciplines should be developed to maximize science impact? (3) Which observations require higher fidelity analysis or modeling methods and implementations?