# Machine-Learned HASDM Model with Uncertainty Quantification

@article{Licata2021MachineLearnedHM, title={Machine-Learned HASDM Model with Uncertainty Quantification}, author={Richard Joseph Licata and Piyush M. Mehta and W. Kent Tobiska and Snehalata V. Huzurbazar}, journal={ArXiv}, year={2021}, volume={abs/2109.07651} }

The first thermospheric neutral mass density model with robust and reliable uncertainty estimates is developed based on the SET HASDM density database. This database, created by Space Environment Technologies (SET), contains 20 years of outputs from the U.S. Space Force’s High Accuracy Satellite Drag Model (HASDM), which represents the state-of-the-art for density and drag modeling. We utilize principal component analysis (PCA) for dimensionality reduction, creating the coefficients upon which… Expand

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