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- Member of: Theses and Dissertations
This method of using NGIMS data as a validation tool for MGITM simulations has been tested previously using dayside data from deep dip campaigns 2 and 8. In those cases, MGITM was able to accurately reproduce the measured density and temperature profiles; however, in the deep dip 5 and 6 campaigns, the results are not quite the same, due to the highly variable nature of the nightside thermosphere. MGITM was able to fairly accurately reproduce the density and temperature profiles for deep dip 5, but the deep dip 6 model output showed unexpected significant variation. The deep dip 6 results reveal possible changes to be made to MGITM to more accurately reflect the observed structure of the nighttime thermosphere. In particular, upgrading the model to incorporate a suitable gravity wave parameterization should better capture the role of global winds in maintaining the nighttime thermospheric structure.
This project reveals that there still exist many unknowns about the structure and dynamics of the night side of the Martian atmosphere, as well as significant diurnal variations in density. Further study is needed to uncover these unknowns and their role in atmospheric mass loss.
The first extrasolar planet discovered orbited the millisecond pulsar PSR B1257+12. These so-called "pulsar planets" have proved to be more uncommon than their early discovery might have suggested. The proximity of many known pulsar planets to their host neutron stars indicates that they formed post-supernova, possibly from material produced in the supernova. Any pre-existing planets that close would have been obliterated in the supernova. Material from the supernova falls back to an accretion disk around the neutron star analogous to a protoplanetary disk around a protostar. The composition of the supernova thus determines the composition of the planet-forming material. The pulsar planet then forms from collisions between particles within the disk. This research examines the composition of supernova remnants to explore this formation process. Chemical abundances of supernova ejecta were obtained from 3D supernova simulations. The velocities of particles containing silicate-mineral forming elements were filtered to determine what might stay in the system and thus be available for the formation of a fallback disk. The abundances of the remaining particles were compared to characterize the potential composition of such a fallback disk. Overall, the composition was roughly silicate-like, but the rates of mixing versus dust formation could lead to the production of highly exotic minerals.
First, I mapped microfeatures across four of Europa’s RegMaps and validated them against other mapping datasets. Microchaos features are the most numerous, followed by pits, domes, then hybrids. Spots are the least common features, and the smallest. Next, I mapped features in low-resolution images that covered the E15RegMap01 area to determine error rates and sources of omission or misclassification for features mapped in low-resolution images. Of all features originally mapped in the RegMap, pits and domes were the least likely to be re-mapped or positively identified (24.2% and 5%, respectively). Chaos, spots, and hybrids were accurately classified over 70% of the time. Quantitatively classifying these features using discriminant function analysis yielded comparable values of accuracy when compared to a human mapper. Finally, nearest-neighbor clustering analyses were used to show that pits are clustered in all regions, while chaos, domes, and hybrids vary in terms of their spatial clustering.
This work suggests that the most likely processes for microfeature formations is either the evolution of liquid water sills within Europa’s ice shell or cryovolcanism. Future work extending to more areas outside of the RegMaps can further refine microfeature formation models. The detection of liquid water at or near the surface is a major goal of multiple upcoming Europa missions; this work provides predictions that can be directly tested by these missions to maximize their scientific return.