Computer Science – Databases
Scientific paper
Jul 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007hst..prop11251f&link_type=abstract
HST Proposal ID #11251. Cycle 16
Computer Science
Databases
Scientific paper
The study of PN shapes has been propelled forward by the high angular resolution of HST into a state of flux. Currently the field is undergoing a profound reassessment as mechanisms such as binary companions, accretion disks, MHD outflow launching and jets become central to a fundamental understanding of these objects. Making progress now requires more systematic studies of PN databases such as HST which show strong evidence that nebular shapes change dramatically in time. In order to connect PN shapes to evolutionary mechanisms we propose using high resolution Adaptive Mesh Refinement MHD codes, built by the PI, to follow the evolution of three broad classes of models and compare their predictions with the existing data, particularly a new catalogue of HST PN images.;
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