It's been a challenging year for my astrophotography hobby due to the abundance of cloudy nights. As a result, I was only able to image 11 deep space objects this year, compared to 44 last year.

While the quality of the images I was able to capture was generally better due to spending longer on each target, it was frustrating to have fewer opportunities to photograph the stars. Astrophotography requires clear, dark skies to get the best results, and the cloudy weather made it difficult to get the conditions I needed.

Despite the challenges, I've tried to make the most of the clear nights that I did have and the cloudy nights in between. Hours spent practicing processing techniques, and even trying out other types of astrophotography. The resulting images may not be as numerous as I would have liked, but I feel overall they show some improvement.

OK y’all, I know it’s been a bit since my last post. After a few weeks of good weather and 3 good images collected, I ended up with the flu and an ear infection (thanks kids!) and have been catching up a bit rather than worrying about the site. My bad. I know you were waiting with bated breath for me to post another update, right?

I jest, I jest. So, the most recent image I’ve worked on was another dataset from TelescopeLive, the remote astrophotography service that (conveniently for me) has several observatories in the Southern Hemisphere shooting things I cannot see from my house. Cool objects too that I would love to be able to image one day. One of those is the Rim Nebula, aka Dragons of Ara, which I think is a neat object and I wanted to create an image for my portfolio. The dataset was also a great example of one of the tricks we use in AP to process the data to bring out the feature object, even when a dense starfield is present that can overwhelm the image.