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High Flagging Statistics with Aoflagger for uGMRT Data #1600

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phetogoportia opened this issue Sep 19, 2024 · 1 comment
Open

High Flagging Statistics with Aoflagger for uGMRT Data #1600

phetogoportia opened this issue Sep 19, 2024 · 1 comment

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@phetogoportia
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I am using Aoflagger to flag data from the uGMRT; the flagging statistics appear unusually high. I would like to know if these statistics are reasonable.

> # Channel 577-584: 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
> # Channel 585-592: 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
> # Channel 593-600: 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
> # Channel 601-608: 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
> # Channel 609-616: 100.0% 100.0% 100.0% 100.0% 100.0%  51.0%  51.0%  51.0%
> # Channel 617-624:  51.1%  51.2%  51.3%  51.2%  51.2%  51.4%  51.3%  51.4%
> # Channel 625-632:  51.4%  51.4%  51.4%  51.4%  51.4%  51.4%  51.5%  51.5%
> # Channel 633-640:  51.5%  51.6%  51.6%  51.5%  51.7%  51.6%  51.6%  51.7%
> # Channel 641-648:  51.6%  51.5%  51.5%  51.5%  51.4%  51.5%  51.4%  51.3%
> # Channel 649-656:  51.2%  51.3%  51.3%  51.2%  51.3%  51.2%  51.1%  51.2%
> # Channel 657-664:  51.1%  51.1%  51.1%  51.2%  51.2%  51.2%  51.2%  51.2%
> # Channel 665-672:  51.3%  51.2%  51.3%  51.4%  51.4%  51.4%  51.4%  51.5%
> # Channel 673-680:  51.6%  51.6%  51.5%  51.7%  51.4%  51.5%  51.6%  51.6%
> # Channel 681-688:  51.5%  51.6%  51.4%  51.5%  51.4%  51.4%  51.4%  51.5%
> # Channel 689-696:  51.4%  51.5%  51.5%  51.6%  51.4%  51.6%  51.6%  51.6%
> # Channel 697-704:  51.5%  51.7%  51.5%  51.6%  51.6%  51.6%  51.6%  51.7%
> # Channel 705-712:  51.8%  51.7%  51.7%  51.8%  51.7%  51.7%  51.9%  51.6%
> # Channel 713-720:  51.6%  51.7%  51.7%  51.6%  52.0%  51.7%  51.7%  51.7%
> # Channel 721-728:  51.6%  51.6%  51.5%  51.7%  51.5%  51.5%  51.5%  51.5%
> # Channel 729-736:  51.4%  51.2%  51.3%  51.3%  51.4%  51.3%  51.2%  51.1%

Aoflagger_stats.txt

@Athanaseus
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Hi @phetogoportia,

You can try inspecting the spectra of the data before flagging to get an idea of how much of the data is expected to be flagged and what is actually flagged after running AOflgger.
Alternatively, please try a different flagging strategy or adjust it appropriately.

Regards

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