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UKZN-Astronomy / corrcal

Python/C code for calibration of quasi-redundant arrays. Different (fixed) algorithm from original corrcal
BSD 2-Clause "Simplified" License
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Perfect Redundancy Test #27

Open piyanatk opened 4 years ago

piyanatk commented 4 years ago

Perfect Redundancy Test

Motivation

corrcal should behave like redundant calibration on a perfectly redundant array with no sky information.

Test Components

steven-murray commented 4 years ago

Shouldn't it do better than redundant calibration, since it's also using some sky info? Or is it just redundant because there's no foreground sources?

piyanatk commented 4 years ago

Yes, just redundant, no foreground sources.

I should probably think more about which tests to be done before opening more issues. I will get in touch with everyone on slack.

ronniyjoseph commented 4 years ago

I am just a bit confused, is this to see whether calibration imprints a signature on the 21 cm signal?

Because calibration is performed on foreground as sources, because at the integration time steps of observations the EoR signal is orders of magnitude smaller than both the foregrounds and thermal noise.

piyanatk commented 4 years ago

@ronniyjoseph This is just to check how corrcal perform with a perfectly redundant array, so same beam for each antenna, exact position, no sky information.

I should edit the first post.