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| Paper: |
Data Mining the Kilo–Degree Survey for Solar System Objects |
| Volume: |
527, Astronomical Data Analysis Software and Systems XXIX |
| Page: |
651 |
| Authors: |
de Vries, Y. A.; Verdoes Kleijn, G. A.; Frantseva, K.; Mahlke, M. |
| Abstract: |
Orbits and compositions of minor planets are important for our understanding of solar system formation and evolution, Space Safety and perhaps as future resource for space activities. We report on a BSc research project to constrain the heliocentric distance of serendipitously discovered minor planets in the Kilo–Degree Survey. We have determined maximum admissible distances and distances assuming circular orbits for over 20000 minor planet candidate detections. The methods are validated through cross–matching with known minor planets.
The newly discovered minor planets appear to be at slightly larger distances on average but are otherwise consistent with the distance distribution of known minor planets. It appears worthwhile to extract a wealth of serendipitous information on minor planets from current and upcoming astronomical surveys. The pilot was implemented as Jupyter python notebooks. Full scale analysis requires the use of an advanced science platform. |
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