MilkyWay@home: Harnessing volunteer computers to constrain dark matter in the Milky Way
Heidi Jo Newberg, Matthew Newby, Travis Desell, Malik Magdon-Ismail,, Boleslaw Szymanski, and Carlos Varela

TL;DR
MilkyWay@home leverages global volunteer computing to model the Milky Way's dark matter distribution through tidal stream analysis and N-body simulations, aiming for a comprehensive galactic model.
Contribution
This project introduces a large-scale distributed computing approach to constrain dark matter in the Milky Way using tidal stream data and N-body simulations, with ongoing development of advanced modeling techniques.
Findings
Over 25,000 volunteers contribute half a PetaFLOPS.
Successful fitting of the Sagittarius dwarf tidal tail.
Development of N-body simulation applications for dwarf galaxy progenitors.
Abstract
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…
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