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dc.contributor.advisorPenny, Matthew
dc.contributor.advisorGaudi, Scott
dc.creatorHuston, Macy
dc.date.accessioned2018-04-10T20:58:35Z
dc.date.available2018-04-10T20:58:35Z
dc.date.issued2018-05
dc.identifier.urihttp://hdl.handle.net/1811/84554
dc.description.abstractWith the Wide Field Infrared Survey Telescope (WFIRST) in preparation, it is important to have a method of interpreting existing microlensing data and for making predictions for future surveys. Limited by the lack of flexibility and other needed features when using existing models, we created a new, more flexible population synthesis model of the Milky Way. We describe the model's Monte Carlo method for generating catalogs of stars likely to reside in a specific region of the sky and the different Galactic components that come together to achieve this. We compare model output to real data and perform a study of microlensing observables near the Galactic Center. The results highlight areas where disk stars play an important role in microlensing statistics, opposed to the typical assumption in lower latitude surveys that bulge stars dominate, and how disk stars may wipe out the asymmetry of the bulge in microlensing observations.en_US
dc.language.isoen_USen_US
dc.publisherThe Ohio State Universityen_US
dc.relation.ispartofseriesThe Ohio State University. Department of Astronomy Honors Theses; 2018en_US
dc.subjectgalactic modellingen_US
dc.subjectgravitational microlensingen_US
dc.subjectmilky wayen_US
dc.subjectexoplanetsen_US
dc.titleMaking Microlensing Predictions With a New Population Synthesis Galactic Modelen_US
dc.typeThesisen_US
dc.description.embargoNo embargoen_US
dc.description.academicmajorAcademic Major: Engineering Physicsen_US


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