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- čas přidán 9. 07. 2024
- Have you ever finished an imaging session, and asked yourself, "Hmmm... I wonder how much more integration time/sub exposures I need to get a good image?" In this video, I'll show you my web application that can help you figure that out! Astrophotography answers are sometimes complicated. But my free web app can help make things simpler.
deepskydetail.shinyapps.io/Ca...
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I could tell this right after one frame is captured. If nothing is seen on initial frame, but there should be something there, then integration on this filter is 16+ hours.
Great enhancement Mark!
Thanks, Doug!
Nicely done original and update - thank you!
Thank you too!
You help the community so much
Thank you! :)
great updates friend!! Many thanks
Thank you!! :)
This is terrific! Thanks so much for all the hard work you must have put into this. If I'm understanding correctly, I will need to have taken some subframes of a target prior to using this calculator, correct? I wonder (but I have no idea how!) if it's possible to make the app entirely predictive, i.e., predictions about sub exposures before ever imaging a target, by using an actual skyglow value for a particular site as measured by an SQM meter or a light pollution map. Thank you once again for this calculator! Much appreciated.
Thank you! I wonder too if it could be automated. Thinking about it though it would be a pretty big task. You'd need to know aperture size, f-ratio, pixel size, brightness of the target... If I had enough data though with those variables, maybe I could do something like a statistical model to get a rough estimate! :)
Sorry if I missed it. Are these SNR values in db? I know the SNR scripts for PixInsight provide 2 numbers, one being larger and one being decibel.
Good question. They're in raw SNR, not decibels. :)
@@deepskydetail Thanks. Handy tool for sure. My input numbers for my PlayerOne Poseidon-M and subs(measured with PixInsight's statistic process) were just so much lower i wasn't 100% sure I was using it properly (ha filter, DSO signal: 267, skyglow 151, 161 dark signal, 159 bias) but after putting everything in and my measured sensor info from sharp cap analysis it does seem to add up to fairly close to the SNRs i end up with from the number of frames I have.
Thanks for the info! It's good to know things line up between the two tools :)
this begs the question, what is the SNR to aim for
You can check out this video I made on it :)
czcams.com/video/eRKk3lNyXO8/video.html
What if you have something like a SeeStar S50, which doesn’t take some of those types of calibration frames? Where would we find this kind of information?
I'm not 100% sure. Does the s50 calibrate the light frames automatically with dark and bias?
@@deepskydetail The seestar just takes dark frames and then calibrates the light frames for you as it live stacks
Tried out the app but something doesn't make sense. Just to try it out I used your default values with 15s exposure. The result was 1429 subs for 5.95 hours. Then I changed it to 30s and got 1429 (teh same) subs for 11.91 hours! All other inputs remained the same.
If you change the exposure time to 30s, the app will think your sub exposures are 30s long and will adjust things accordingly (5.95 x 2 = 11.9). To test a different sub-exposure time, you need to either input data from another sub frame that is 30 seconds long and use a comma (15, 30 in the sub exposure length box), or you can try the theoretical estimate using the slider called "Mult. exposure by __ times:"
@@deepskydetail I'll try that!
Why dont you just use Sharpcaps brain function smart histogram? It measures the sky background etc.
Is the smart histogram part of the free version of sharpcap? Or the pro version?
@@deepskydetail Pro version £12 a year lol