Hostname: page-component-cd9895bd7-lnqnp Total loading time: 0 Render date: 2024-12-28T01:42:34.990Z Has data issue: false hasContentIssue false
  • English
  • Français

Detecting the Milky Way Halo Structure and Sub-Structure with OPTICS

Published online by Cambridge University Press:  17 July 2015

S.A. Sans Fuentes  and
J. De Ridder
S.A. Sans Fuentes
Affiliation:
Instituut voor Sterrenkunde, KU Leuven, Celestijnenlaan 200 D, 3001 Leuven, Belgium
J. De Ridder
Affiliation:
Instituut voor Sterrenkunde, KU Leuven, Celestijnenlaan 200 D, 3001 Leuven, Belgium
Get access

Abstract

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.

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 68: The Milky Way Unravelled by Gaia: GREAT Science from the Gaia Data Releases , 2014 , pp. 147 - 150
Copyright
© EAS, EDP Sciences, 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ankerst, M., Breuning, M.M., Kriegel, P.H., & Sander, J., 1999, ACM Press, 49
Belokurov, V., Zucker, D.B., Evans, N.W., et al., 2006, ApJ, 642, L137CrossRef
Eke, V.R., Frenk, C.S., Baugh, C.M., et al., 2004, MNRAS, 355, 769CrossRef
Ester, M., Kriegel, P.H., et al., 1996 (AAAI Press), p. 226
Jenkins, A., Frenk, C.S., White, S.D.M., et al., 2001, MNRAS, 321, 372CrossRef
Majewski, S.R., Skrutskie, M.F., Weinberg, M.D., & Ostheimer, J.C., 2003, ApJ, 599, 1082CrossRef
Newberg, H.J., Yanny, B., Rockosi, C., et al., 2002, ApJ, 569, 245CrossRef
Odenkirchen, M., Grebel, E.K., Dehnen, W., et al., 2003, AJ, 126, 2385CrossRef
Pfitzner, D.W., Salmon, J.K., & Sterling, T., 1997, Astrophysical N-Body simulations, data mining and knowledge discovery, 419
Reed, D.S., Bower, R., Frenk, C.S., Jenkins, A., & Theuns, T., 2007, Cosmic Frontiers, 379, 12
Sharma, S., Johnston, K.V., Majewski, S.R., et al., 2010, ApJ, 722, 750CrossRef
Springel, V., White, S.D.M., Tormen, G., & Kauffmann, G., 2001, MNRAS, 328, 726CrossRef
Vivas, A.K., & Zinn, R., 2006, AJ, 132, 714CrossRef