Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-05T02:57:55.319Z Has data issue: false hasContentIssue false

MilkyWay@home: Harnessing volunteer computers to constrain dark matter in the Milky Way

Published online by Cambridge University Press:  06 January 2014

Heidi Jo Newberg
Affiliation:
Dept. of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180, email: [email protected]
Matthew Newby
Affiliation:
Dept. of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180, email: [email protected]
Travis Desell
Affiliation:
Dept. of Computer Science, U. of North Dakota, Grand Forks, ND 52802
Malik Magdon-Ismail
Affiliation:
Dept. of Computer Science, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY, 12180
Boleslaw Szymanski
Affiliation:
Dept. of Computer Science, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY, 12180
Carlos Varela
Affiliation:
Dept. of Computer Science, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY, 12180
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

MilkyWay@home is a volunteer computing project that allows people from every country in the world to volunteer their otherwise idle processors to Milky Way research. Currently, more than 25,000 people (150,000 since November 9, 2007) contribute about half a PetaFLOPS of computing power to our project. We currently run two types of applications: one application fits the spatial density profile of tidal streams using statistical photometric parallax, and the other application finds the N-body simulation parameters that produce tidal streams that best match the measured density profile of known tidal streams. The stream fitting application is well developed and is producing published results. The Sagittarius dwarf leading tidal tail has been fit, and the algorithm is currently running on the trailing tidal tail and bifurcated pieces. We will soon have a self-consistent model for the density of the smooth component of the stellar halo and the largest tidal streams. The N-body application has been implemented for fitting dwarf galaxy progenitor properties only, and is in the testing stages. We use an Earth-Mover Distance method to measure goodness-of-fit for density of stars along the tidal stream. We will add additional spatial dimensions as well as kinematic measures in a piecemeal fashion, with the eventual goal of fitting the orbit and parameters of the Milky Way potential (and thus the density distribution of dark matter) using multiple tidal streams.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2014 

References

Anderson, D. P. 2004, in: (Buyya, Rajkumar, ed.), Fifth IEEE/ACM International Workshop on Grid Computing, Proc. IEEE Computing Society, p. 4Google Scholar
Barnes, J. & Hut, P. 1986, Nature, 324, 446Google Scholar
Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJ (Letters), 642, L137CrossRefGoogle Scholar
Binney, J. 2008, MNRAS (Letters), 386, L47Google Scholar
Cole, N., Newberg, H. J., Magdon-Ismail, M., et al. 2008, ApJ, 683, 750Google Scholar
Grillmair, C. J. 2009, ApJ, 693, 1118CrossRefGoogle Scholar
Koposov, S. E., Rix, H.-W., & Hogg, D. W. 2010, ApJ, 712, 260Google Scholar
Law, D. R. & Majewski, S. R. 2010, ApJ, 714, 229Google Scholar
Majewski, S. R., Skrutskie, M. F., Weinberg, M. D., & Ostheimer, J. C. 2003, ApJ, 599, 1082Google Scholar
Martin, C., Carlin, J. L., Newberg, H. J., & Grillmair, C. 2013, ApJ (Letters), 765, L39Google Scholar
Newberg, H. J., Yanny, B., Rockosi, C., et al. 2002, ApJ, 569, 245Google Scholar
Newberg, H. J. 2013, in: (de Gris, Richard ed.), Advancing the Physics of Cosmic Distances, Proc. IAU Symposium No. 289 (Cambridge University Press), p. 74Google Scholar
Newby, M., Newberg, H. J., Simones, J., Cole, N., & Monaco, M. 2011, ApJ, 743, 187Google Scholar
Newby, M., Cole, N., Newberg, H. J., et al. 2013, AJ, 145, 163Google Scholar
Plummer, H. C. 1911, MNRAS, 71, 460Google Scholar
Sanders, J. L. & Binney, J. 2013, MNRAS, 433, 1826Google Scholar
Willett, B. A. 2010, Ph.D. Thesis, Rensselaer Polytechnic InstituteGoogle Scholar
Yam, W., Carlin, J. L., Newberg, H. J., et al. 2013, ApJ, submittedGoogle Scholar
York, D. G., Adelman, J., Anderson, J. E. Jr., et al. 2000, AJ, 120, 1579Google Scholar