Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms
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Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms
Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope. Instead, they collect digital images in massive cameras attached to large telescopes.
(phys.org)
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This post did not contain any content.
Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms
Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope. Instead, they collect digital images in massive cameras attached to large telescopes.
(phys.org)
What kind of algorithms are those trains running?!
Make sure you check out the simulator webpage for some sweet old school design and a lot of neat pictures! I love a good simulation.
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This post did not contain any content.
Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms
Professional astronomers don't make discoveries by looking through an eyepiece like you might with a backyard telescope. Instead, they collect digital images in massive cameras attached to large telescopes.
(phys.org)
Astronomy is constantly discovering never-befor observed phenomenon. The idea that you can simulate realistic images of anything requires you to have sufficient knowledge of reality, and astronomy keeps showing us that we don’t have that.
The only way I can see this being helpful is to train algorithms for what is already known and can be safely filtered out, making it easier to detect new observations
