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Supernova SN2023ixf in M 101 (UMa)

Posted: Wed May 24, 2023 9:53 pm
by emarko

Re: Supernova SN2023ixf in M 101 (UMa)

Posted: Thu May 25, 2023 2:30 am
by admin
Very nice and holds up well at higher resolutions too!

Did you try to use SV Decon? It may help a little with the star shapes being not quite round (nitpicking here).
You may wish to bin about 71% (or even 50%) to help with signal quality before you do that though (I think the dataset is a little oversampled).

Re: Supernova SN2023ixf in M 101 (UMa)

Posted: Thu May 25, 2023 10:59 am
by emarko
Thank you for your words. Yes, I was using SV Decon (Syntetic Iterations up to 12x, Syntetic PSF Radius up to 1.8 pixel). I am got a few pixels in the center of the star somehow a little bit of diferent colour, so I use Layer Modul with star mask to blind the stars up to 1.4 pixel (Filter Kernel Radius) to resolve this issue.
I should more bin in the future, yes & and yes, my data are oversampled.

Re: Supernova SN2023ixf in M 101 (UMa)

Posted: Fri May 26, 2023 12:50 am
by admin
emarko wrote: Thu May 25, 2023 10:59 am Yes, I was using SV Decon (Syntetic Iterations up to 12x, Syntetic PSF Radius up to 1.8 pixel).
Definitely try giving SV Decon some samples, so that SV Decon can correct the shape of your stars (and detail) depending on the local (fancy word "spatially variant"/"SV") distortion. It was made for exactly these sort of small little problems.

Re: Supernova SN2023ixf in M 101 (UMa)

Posted: Fri May 26, 2023 5:31 pm
by emarko
Thank you very much for your replay. I am gonna try some samples too.....

Re: Supernova SN2023ixf in M 101 (UMa)

Posted: Fri May 26, 2023 7:26 pm
by fmeireso
Nice shot indeed!