Every sensor in the array is sampling at frequency, so - first order - you can use that sampling frequency and the sample size, you get an idea of the input bandwidth in bytes/second. There are of course bandwidth reduction steps (filtering, downsampling, beamforming)...
On SKA from what I understand they're sampling broadband but quickly beamform and downsample as the datarates would be unsustainable to store over the whole array.
Here's an article mentioning the data transmission rates in SKA, up to 20 terabits per second:
https://www.skao.int/en/explore/big-data
Every sensor in the array is sampling at frequency, so - first order - you can use that sampling frequency and the sample size, you get an idea of the input bandwidth in bytes/second. There are of course bandwidth reduction steps (filtering, downsampling, beamforming)...
This makes no sense though? Given the Nyquist theorem, simply increasing sampling frequency past a certain step doesn't change the outcome.
Actually, it does. You can decimate the higher sample rate to increase dynamic range and S/N ratio.
Also, for direct down conversion, you can get better mirror frequency rejection by oversampling and filtering in software.
Aren't they sampling broadband for later processing?
On SKA from what I understand they're sampling broadband but quickly beamform and downsample as the datarates would be unsustainable to store over the whole array.
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Are you deliberately obtuse to the play on words of an array being used from a programmer's use of the word in contrast to an array of antennas?