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narrowband

These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a SOO (Sulfur Oxygen Oxygen) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full SOO workflow. Both the Multiscale, and the SOO APOD scripts have user adjustable parameters that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!

These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a SHO (Hubble Pallet) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full SHO workflow. Both the Multiscale, and the SHO APOD scripts have user adjustable parameters that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!

These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a HOO (Hydrogen Oxygen Oxygen) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full HOO workflow. Both the Multiscale, and the HOO APOD scripts have user adjustable parameters that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!

These Siril preprocessing scripts extract the SII, Ha, and OIII data from Seestar telescope captures, and either Drizzle 1.5x or not. Note that these scripts do not align the SII, Ha, and OIII channels, for that you will either need PixInsight, or a Python pipeline to do so. Setting up this pipeline is not difficult. If need be, AI can walk you though the process, just upload the Read Me documents and ask it to help you create the Python Venv. Consult the project Read Me documents for more information. Clear skies!