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Processing the Running Chicken Nebula
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Processing the Running Chicken Nebula
In this video tutorial, Peter Jenkins walks us through the processing of IC2944, also known as the Running Chicken Nebula.
Peter explores some of the advanced techniques to fix vignetting through Dynamic Background Extraction and bad columns through Cosmetic Correction.
The images were acquired using narrow band filters (Halpha, SII, OIII) during full moon. It shows the great results you can still obtain during this moon phase.
Getting started with PixInsight - Basic narrowband workflow (CCD)
In this tutorial for beginners, astrophotographer Adam Block guides you through the workflow of creating a stunning colored wide-field astrophotography picture of Eta Carina with PixInsight.
The dataset used in this tutorial can be downloaded by clicking on the link "Associated dataset" below.
Note that the tutorial series starts from Part 3. Part 1 and 2 were removed as they were obsolete.
Eta Carina Nebula with DeepSkyStacker & Photoshop
A short introduction video tutorial on how to process Eta Carina, using images obtained with the Telescope Live ASA 500N telescope located in Chile. In this tutorial, Peter Jenkins guides us through the process using inexpensive software: Fits Liberator (Free), DeepSkyStacker (Free), and Photoshop (subscription starting at $9.99/month). There is a companion tutorial that uses PixInsight instead (one-off license of $260). The associated dataset contains only three 10 min images per filter (Halpha, SII, OIII), for a total cost of less than 100 credits. The data that Peter collected using our facility at El Sauce is being made available for others to practice the techniques shown in these tutorials.
Eta Carina Nebula with PixInsight & Photoshop
A short introduction video tutorial on how to process Eta Carina with PixInsight and Photoshop, using images obtained with the Telescope Live ASA 500N telescope located in Chile. Note that there is a companion tutorial that uses DeepSkyStacker instead of PixInsight. The associated dataset contains only three 10 min images per filter (Halpha, SII, OIII), for a total cost of less than 100 credits. The data that Peter collected using our facility at El Sauce is being made available for others to practice the techniques shown in these tutorials.