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Messages - STAstro

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16
Can't seem to get it right, but it's not PixInsight, it's my exposures are too long, they're clipping the whites, so I need to opt for shorter subs, I am afer all imaging at F4 :D

17
Thanks John

I generally use HDRMT as the first step after the image becomes "Non-Linear", but just can't seem to get it to work here, I'll try your suggestion on the "Range_Mask - Star_Mask" PixelMath and see what happens

Simon

18
Hi All

I remember this time last year having major problems processing M81/M82 but that was with my 8.3mpx CCD images with a C80ED, now I am using a faster focal ratio and a 20mpx camera, I am having a challenge using HDRMT as it keeps blowing out the core, so should I be masking out the core early on in the processing cycle?

Regards
Simon

19
General / Re: 32 Bit v 16 Bit, which one and when?
« on: 2018 February 28 06:30:39 »
Thanks Guys

I am using a Core i7 with 12GB Ram, I might consider upping that to 32GB RAM, I will test the same workflow on my MAC Pro

I also noticed a setting in PI for the number of threads, as a tip for you Rick, try dropping the number of cores, since my CPU has 4 cores, I have dropped this to 3 in PI, which leaves 1 core free which prevents the hangs, but takes a bit longer ot process

Simon

20
Just to follow up on this

Many thanks to Tromat for providing the "50% Grey" solution, I have used this now to perform an MMT against the image and this has worked better at reducing the noise than TGVDenoise, MMT is my tool of preference, and it worked well with the 50% Grey Mask

Thanks to Mike for helping me out with TGVDenoise

Now to carry on processing :-)

Simon



21
Thanks again Mike

I can now tweak TGV Denoise and get the best for this image, then I need to work out how to stop blowing out the core when doing a HDRMT, Star Masks don't seem to help at all, but I'll get to that point when I've sorted out the noise :)

Simon

22
Ah F*!@

I just realised when I created the mask, I did a pixel math of "Base Image * 0.5" instead of just having the formula "0.5" to create a grey image, hence why my "Inverted" question came about, probably too much overthinking, I now see the difference int he image between TGVDenoise before and after

Let me see how I can reduce the noise now :)

Simon

23
Hi Mike

Thanks for your help, now this is really weird, I can see the changes in your screenshots, but when I apply those changes to my "Preview" of the same area, I see no difference between the before and after, so the question here is what have you done differently?  I am going to start all over again with the mask!

Regards
Simon

24
and here's the after TGVDenoise applied with 1000 iterations

25
TGVDenoise with the 50% Mask made no difference to the image whatsoever, here's the before image

26
Thanks Tromat

Just trying that now, I presume you are applying the mask inverted right?

Simon

27
Thanks for the reply, it's not IFN, I can see some IFN in the image, but it's definitely not that

28
Hi All

I've spent quite a bit of time on PixInsight over the past year, but M81 / M82 is really causing me to loose what hair I have left on my head, I can't seem to minimise the background noise without it getting blotchy, this is what I tried so far

1. Performed a DBE on LUM Image
2. Auto STF on LUM image
3. Clone out to secondary image
4. Apply Auto STF to HT and apply to Clone
5. Use Clone as Inverted Mask on LUM image

Now I have tried ACDNR, MLT, MMT all with mixed results, attached is my Luminance Image, I have an RGB and HA image to process as well, but I am starting with the Luminance image and maybe I could learn where I am clearly going wrong

The Fits file can be downloaded from here

https://www.dropbox.com/s/tajcfqwpjzszmbn/L%20-%2060x300S%20-%20DBE.fit?dl=1

Looking to learn :)

Simon


29
Sorry to Hijack the post but I have a question around the 16Bit / 32Bit Calibration frames

Does it matter that the Master Calibration frames are 32Bit FP and the light frames are not?  Obviously after calibration the light frames become 32bit, but my camera is definitely not 32 bit

30
General / 32 Bit v 16 Bit, which one and when?
« on: 2018 February 23 12:41:25 »
Hi All

I understand the need to leave your calibration masters etc in 32 Bit Floating, but what abount once you have combined channels etc?  The reason I ask is a single RGB image is now taking up almost 1GB of space, and I get quite frequent "Hangs" in PI when doing things like MMT Previews etc, especially when using Drizzle!

So once the image is in RGB, can it be reduced to 16Bit for Processing?

Regards
Simon

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