Siril
Siril is an astronomical image processing tool
If you use Siril in your work, please cite this software using the following information:
C. Richard et al., Journal of Open Source Software, 2024, 9(102), 7242. DOI: 10.21105/joss.07242.
Recent News
New Siril Publication in JOSS
2024 Oct 25 by Cyril RichardSiril 1.2.4
2024 Sep 11 by Cyril RichardSiril 1.2.3
2024 Jun 19 by Cyril RichardSiril 1.2.2
2024 Jun 14 by Cyril Richard
Calibration
Remove unwanted signal and pattern from RAW images is the main goal of the first step of preprocessing. Siril can of course deal with BIASES/DARKS/FLATS master files.
Stacking
Improve signal to noise ratio by combining many registered individual images. Outliers rejection will reduce noise even more.
Enhancement
The stacked image can be improved before publication by calibrating the colours, applying deconvolution, stretching histogram and more.
Science
Because images can contain valuable scientific data, Siril provides tools to analyze star brightness variation. A powerful astrometry interaction will quickly give you information about objects in the image.
Your complete astro workflow.
Siril is fully capable to pre-process and process astronomic images by offering to the users a large set of dedicated algorithms. User can do it automatically using dedicated scripts or manually if he prefers to keep control over each step.
Deep-sky lucky imaging processing speed operations.
Thanks to the ability to natively process SER videos, Siril is really adapted to the deep-sky lucky imaging technic. All algorithms work use all cores of the computer, it is then possible to process more than 60 000 frames with no effort. Adapting the registration method following the case (on all stars, one star or on the nebulae body) makes the alignment nearly never fail, even if stars are faint.
Fast and flexible.
Taking the great advantage of the SER file format, or the FITS-Cube, only one more file is created for each preprocess step. Each stacking method runs in parallel. In consequence, processing 10 000 images can go as fast as drinking a cup of coffee.
