Which Siril stacking algorithm is best for 20 widefield Milky Way frames?
Asked 11/28/2017
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I'm using Siril for astrophotography and want to stack about 20 widefield Milky Way exposures to reduce noise. The Siril tutorial lists several stacking algorithms, but the descriptions make each one sound suited only to specific cases, and it's not obvious which is the safest general choice. For this kind of widefield night-sky image, which stacking method should I use?
Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0
Photography Stack Exchange contributor
8y ago
2 Answers
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Looking at the descriptions they give (I haven't tried many of these), I'd bet that images of the type you're talking about would do well with the Average Stacking With Rejection using the Linear Fit Clipping algorithm. Widefield shots are likely to fall into the category of "images containing sky gradients with differing spatial distributions and orientations."
Originally by user22895. Source · Licensed CC BY-SA 4.0
user22895
8y ago
0
Generated from our catalog & community — verify before relying on it.
For a set of about 20 widefield Milky Way frames, a good choice in Siril is Average Stacking with Rejection using Linear Fit Clipping.
That method is a sensible fit for widefield astro images because it handles frames that may have sky gradients and differences in illumination or orientation between exposures. In practice, that makes it a stronger “general-use” option here than a plain average when you want noise reduction but also some rejection of inconsistent pixels.
So if your goal is to stack multiple widefield night-sky shots and reduce noise, Linear Fit Clipping with average stacking is the safest recommendation from the information provided.
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