The Einstein@Home Screensaver (detailed description) |
Like all other attempts to find gravitational waves, Einstein@home has not made a direct detection yet. However, the project has also begun incorporating data from the Arecibo radio telescope and Fermi gamma-ray satellite, which has lead to the discovery of over 3 dozen new pulsars. The latest publication of pulsar detections was last November, in this paper, announcing the discovery of 4 gamma-ray pulsars. The accompanying press release includes images like the map of the pulsars shown here and even a photo of one of the discoverers (a person running Einstein@Home on his home computer).
Another BOINC astronomy project is called MilkyWay@Home. This, not surprisingly, runs models to tell us about the structure of the MilkyWay galaxy. One approach MilkyWay@Home uses is to utilize evolutionary and genetic algortihms to simulate galaxy formation and mergers. Another approach is to use N-body simulations (as shown in the animation on the left), to model collisions between dwarf galaxies and the MilkyWay. As described on the project science page, the data is helping to build an accurate 3D model of the MilkyWay.
As you might imagine, BOINC projects exist in many fields other than astronomy. Rather than attempting to summarize more, I'll just link to the official list.
One thing about some BOINC projects that surprises me as someone who has studied computer science is how efficient their code is. Distributed computing offers a massive amount of computing power, but with major caveats. I like to think of it as a massive distributed memory system with each person's computer as a node. But unlike a normal cluster, there is no inter-node communication and a node may never return a result - or worse, return one that is completely wrong. So, kudos to the collaboration of scientists and volunteers that has made this combination work and produced good science in the process.
Ooh, super cool animation!
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