Understanding Arrays and Their Role in Converting Light into Data

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Arrays like the EVLA convert light from space into data through a process involving Fourier Transforms, which help analyze the frequency components of the incoming signals. The transformation is essential for interpreting the complex data collected by the array, allowing for clearer images of astronomical objects. After the Fourier Transform, deconvolution is necessary to eliminate artifacts known as side lobes that can distort the final image. Understanding the sequence of these processes is crucial for grasping how arrays function in radio astronomy. A foundational knowledge of interferometry can further clarify these concepts.
EnSlavingBlair
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Hi all,

I've been reading on how arrays (eg. EVLA) turn light from space into data, but I don't really get it. I know it has a lot to do with Fourier Transforms, but I can't find anything that gives a good and simple outline as to why they're used. And then once it's been transformed it needs to be deconvolved to get rid of the side lobes, but the order and reasons are a bit muddled in my head.

Can anyone elxplain it? I don't mind a bit of math but I'm looking for a general outline before I get bogged down in the numbers.

Thanks
 
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