Milkyway@home

Introduction
MilkyWay@home is analyzing data from the Sloan Sky Survey, with the goal of discovering structures existing in the Milky Way galaxy and their spatial distribution.

By identifying and quantifying the structure of the Milky Way, it will be possible to test models for the formation of our galaxy, and by example the process of galaxy formation in general.

Contents

Videos


Science

[The Science section might (or might not) be divided into two parts: {1} general discussion of the field, and then {2} a discussion of the project's specific endeavor. For instance, in LHC@home, we might have {1} "Science of the Large Hardon Collider" and then {2} "Science of LHC@home"

The above is desirable, because in most cases, the field of research is really fascinating, and presenting this in broad terms-- outlining the big questions-- can make it easier to understand the particulars of the project and why it is important.] Helpful link for Milkyway@home article.


Results

  1. Nathan Cole, Heidi Newberg, Malik Magdon-Ismail, Travis Desell, Kristopher Dawsey, Warren Hayashi, Jonathan Purnell, Boleslaw Szymanski, Carlos A. Varela, Benjamin Willett, and James Wisniewski. Maximum Likelihood Fitting of Tidal Streams with Application to the Sagittarius Dwarf Tidal Tails. Astrophysical Journal, 683:750-766, 2008.
  2. Travis Desell, Boleslaw Szymanski, and Carlos A. Varela. An Asynchronous Hybrid Genetic-Simplex Search for Modeling the Milky Way Galaxy using Volunteer Computing. In Genetic and Evolutionary Computation Conference (GECCO 2008), Atlanta, Georgia, pages 921-928, July 2008.
  3. Travis Desell, Boleslaw Szymanski, and Carlos A. Varela. Asynchronous Genetic Search for Scientific Modeling on Large-Scale Heterogeneous Environments. In Proceedings of the 17th International Heterogeneity in Computing Workshop (HCW/IPDPS'08), Miami, FL, pages 12pp, April 2008. IEEE.
  4. Boleslaw Szymanski, Travis Desell, and Carlos A. Varela. The Effect of Heterogeneity on Asynchronous Panmictic Genetic Search. In Proc. of the Seventh International Conference on Parallel Processing and Applied Mathematics (PPAM'2007), LNCS, Gdansk, Poland, September 2007.
  5. Travis Desell, Nathan Cole, Malik Magdon-Ismail, Heidi Newberg, Boleslaw Szymanski, and Carlos A. Varela. Distributed and Generic Maximum Likelihood Evaluation. In 3rd IEEE International Conference on e-Science and Grid Computing (eScience2007), Bangalore, India, pages 337-344, December 2007. Best paper finalist.

Links of Interest

[Why recreate the wheel; there are lots of great sources out there.; a good list of sources can be really useful to the reader.]


Milkyway@home In the Classroom

[For each project, please add a "[Projectname] in the Classroom" section-- with a link to Volunteer Computing In the Classroom and an article named "[Projectname] in the Classroom". (Then please add "[Projectname] in the Classroom" to the list on the main Education page.)]