Atmospheric Entry Probes in the Outer Solar System: Developing a Software Tool to Assess Trajectory Options

<p>The composition of outer planet atmospheres holds fundamental clues to understanding the formation and evolution of the solar system. Measurements of noble gas abundances and key isotope ratios help constrain formation models, and along with measurements of atmospheric structure and dynamics they reveal formation and evolutionary processes [1], [2]. These enable conclusions about giant planet formation and possible migration during the epoch of solar system formation. With the Galileo Probe laying the foundation of in situ atmospheric measurements of the outer planets by exploring Jupiter, entry probe missions to Saturn, Uranus and Neptune are essential to complete the picture of how our solar system evolved to its present state.</p> <p> </p> <p>During the development of entry probe missions, the interplanetary and probe approach trajectory, as well as the selection of the entry interface zone, are critical elements to mission success. Both elements are driven by considerations such as spacecraft safety (e.g. avoiding rings), while balancing science and engineering requirements at the same time (e.g. highly interesting science and entry zone vs. optimal communication geometry between probe and relay spacecraft). Due to the complexity of the problem, there is no analytical solution for finding the ‘best’ trajectory. Instead, one relies on the experience and intuition of mission designers to select a few possible interplanetary trajectories, which are then explored in detail to see how they meet science and engineering requirements. This approach leaves a huge trade space unexplored and may find a local, rather than a global optimum trajectory for the mission.</p> <p> </p> <p>We are addressing this gap by developing a software tool called <em>VAPRE</em> (<strong>V</strong>isualization of <strong>A</strong>tmospheric <strong>PR</strong>obe <strong>E</strong>ntry Conditions for different bodies and trajectories)<em> </em>[3], [4] that allows us to explore those previously unexplored trade spaces. <em>VAPRE</em> can process thousands of trajectories, significantly more than in the currently common mission design processes. Due to its flexible architecture, <em>VAPRE</em> can be adapted and extended to accommodate new science and engineering constraints for different or similar mission scenarios. In our talk, we will present an example of how the tool can be used to design a flyby mission to a giant planet that delivers an atmospheric probe considering opportunities between 2028 and 2042.</p>