Yield Modeling for Exoplanet Observation Missions
Yield modeling in space missions is crucial to determine the scientific output and optimize operations. Topics covered include computing completeness and yield, the impact of astrophysical assumptions, integration times, and mission constraints. Engage in group projects to plan and optimize exoplanet observing campaigns.
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Presentation Transcript
Hands-on 3: Yield Modeling Rhonda Morgan (Jet Propulsion Laboratory, California Inst. of Technology) & Dmitry Savransky (Carl Sagan Institute, Cornell University)
Science Yield Modeling Yield modeling seeks to answer the questions: How much science will a mission concept produce? How do engineering design decision impact science return? How can we optimize mission operations to maximize science? In this hands-on session, we will learn about the basics of yield modeling for exoplanet direct imaging space missions Topics covered include:
How to Compute Completeness and Yield Completeness is the probability of detecting an exoplanet with a given instrument Survey yield can be computed by summing completeness values
How to Account for Mission Constraints Not all stars are always observable This has a significant impact on observation scheduling
Putting it All Together In the group projects, you ll have a chance to try to plan and optimize a realistic exoplanet observing campaign
