Detecting the Milky Way Halo Structure and Sub-Structure with OPTICS
The detection of stellar streams, tidal disruptions and merger remnants within the stellar halo provide observational insight into the formation and evolution history of the Galaxy. Often these stellar over-densities have in the past been detected using visual inspection. However, the expected data...
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Published in | EAS publications series Vol. 67-68; pp. 147 - 150 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
EDP Sciences
2014
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Online Access | Get full text |
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Summary: | The detection of stellar streams, tidal disruptions and merger remnants within the stellar halo provide observational insight into the formation and evolution history of the Galaxy. Often these stellar over-densities have in the past been detected using visual inspection. However, the expected data volume from Gaia will make detection via visual inspection unfeasible and requires an effective detection methodology. Here we present proof of concept results using a point ordering method to identify clustering (OPTICS). We find that OPTICS is an advantageous clustering algorithm to detect non-convex and irregular shaped streams and clouds while simultaneously detecting small scale-substructure in large scale over-densities. |
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Bibliography: | istex:3AAB6242B0F4CB117C25215AE44F1ABB51AA9963 PII:S1633476067000262 ark:/67375/80W-NGKDV1DF-W other:2014EAS....67..147S publisher-ID:eas1567026 |
ISBN: | 9782759818266 2759818268 |
ISSN: | 1633-4760 1638-1963 |
DOI: | 10.1051/eas/1567026 |