IC4592 (The Blue Horsehead Nebula) Project for PixInsight (RGB, Mosaic of four Panels)

Pixinsight Project for users of PXI with little experience: This master class teaches how to prepare and combine panels into one final mosaid. It allows to follow exactly the processing of the data set in PixInsight performed by digital creator and astro photograph Omar Cazzanti. You need to save this product to your computer, unzip the compressed file. Please open the project in PixInsight using the function Open > Load project. You will see the master light files opening in the work space. On the right hand side you will see all used process icons to process this data set. All process icons contain a description explaining the respective process steps. Please be aware that this project consists of two work spaces. In workspace one the rgb stars are being extracted from the RGB image. In work space two the SHO image is created and the RGB stars integrated. You need to purchase the parent product (IC4592 in six panels) together with this add-on product! Requirements for using the project (IC4592) The project uses some third-party processes, not included in the PixInsight installation. These are: • NoiseXterminator (noise reduction); • StarXterminator (stars removing); • BlurXTerminator These three processes are part of the RC Astro suite. They can be obtained, in both trial and paid versions, from www.rc-astro.com. Full details on registration/payment procedures and PixInsight configuration to obtain the processes are available on the website. To use the project as is, we recommend downloading the trial versions of the two processes mentioned above, if you don’t want to purchase them immediately. Once used, if you decide not to purchase them, you can always replace their use with that of other processes. For noise reduction, alternative methods such as the TGVDenoise process, the MultiscaleLinearTransformation process, or the MureDenoise script (menu SCRIPT -> Noise Reduction) can be used. For star reduction and deconvolution, the MorphologicalTransformation and Deconvolution processes can be used appropriately. Since we don’t want to demonstrate their use int this place, please refer to the official documentation or videos available online.