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Troubleshooting Rejection

Michael Lewis
in PixInsight
I keep on meeting women and oh wait....

I'm just starting down the path of integrating subs from my tandem RedCats and ASI 2600MC Pros. I'm setting up WBPP to handle PP and integration. I've used WBPP for many other data sets and have always had rather unsurprising Low and High Rejection images when I review them after WBPP finishes. Suddenly I have structure both high and low. Things have gotten interesting.

The data set is 103 two minute subs from each camera so 206 sub frames. I have separate Bias masters, Dark masters and Flat and Flat darks for each camera. The cameras are mounted on the same mount side by side and are fairly well centered with nearly identical rotation to make things a little easier.

I'm starting to troubleshoot. My inclination is to just work through the individual calibration steps with small sets of the data, maybe 10 subs, just to keep things quick. I think I can identify the offending settings that way.

I am unsure of what effects the larger data set and different cameras will have on the process, so I am uncertain if a small subset of subframes will properly model the outcome of the complete set. If so, should I run a set from camera 1 and adjust, then a set from camera 2, then when those look good run a combination and adjust there? Or just run 10 of each as if I were running all of the subs from both cameras at once to start with and tweak rejection settings from there?

What seems like a good path?

Comments

  • BlockHeadBlockHead
    LOL... you (or they) need to adjust the rejection tolerance...

    So what strikes me here is that you are using TWO different cameras. Cameras can have two different responses (overall gain setting). This could affect the kind of rejection you are seeing. Otherwise, just differences in image quality between the two could be different (like if one is better focused than the other). 
    Even field rotation could be an issue... who knows.

    So... I am not exactly certain what you are doing, but two cameras does add complexity in perhaps surprising ways. 

    If you have an equal number of images from each camera- I would not expect running batches to help the situation much.

    What does the nature of the rejection maps look like? These maps are just showing the differences between the files (and likely cameras?). This should perhaps give you a clue.

    -the Blockhead
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