Prominence timelapse from 2020-11-22

On November 22 on the south-eastern limb of the sun, a stable prominence was visible. The prominence seems to consist of three different prominences (one flame type, one fan type and one arch type). They all seem to origin from sunspots 12785 and 12786. Whereas I assume, that the arch type prominence to the right is most likely from 12786.

The timelapse shows the activity of the prominences from 09:45-12:30 UTC. The clip has 342 individual images. Each image was stacked from 12 frames out of bursts of 300 frames. Post processing and colorization in PixInsight.

These 2 images from beginning and end of sequence show the beautiful structur as well as the changes within.

150 Megapixel mosaic of the sun

My solar imaging setup has a quite high magnification. Even though I use a 20 Megapixel QHY183 camera, I may only frame less than a third of the disk diameter at once. This is really neat for prominences and sunspots. But I may not record the whole solar disk. Therefore my only way to go is a panorama or mosaic.

The tricky part of recording a mosaic of the sun is, that you don’t have too much time to complete. First, the sun rotates (even the 25 days period may cause defects at high resolution imaging). Second, some features like granulation or prominences may change within minutes.
For high quality results, the lucky imaging approach has to be used. Meaning, each individual recording for a tile should consist of as many images (lets call them frames, as the data is recorded as a video) as possible. In post processing, only the best frames will be selected and combined for low noise results.

Last weekend I ran the first real test for a giant mosaic image of the sun in H-alpha. I recorded each individual tile with SharpCap. I had to use the seeing filter due to a rather slow USB connected drive. Each tile consists of a set of only 100 out of 2000. From these 100 selected images, only 4 were used to create the final image tiles (which proofed to be a wrong decision, as noise levels remained quite high).

To record the complete surface, I needed to capture 12 tiles. So I ended up using 48 individual frames out of 24.000. After crunching through the 30+GB of data recorded on disk (which was only 5% of the images captured) for several hours, I finally have a stunning picture of the sun in high resolution 🙂

Processing steps:
1) Stacking in AutoStakkert!3
2) Stitching in Photoshop (manually, as neither Photoshop, nor Hugin were able to align the tiles)
3) Gradient removal in Photoshop
4) Wavelet sharpening in PixInsight
5) Histogram optimization in PixInsight
6) Cleaning of edges and border of image in Photoshop
7) Colorization in Photoshop

If you want to fully enjoy this image, here is the 7500×7500 pixel version.

Satellite transits Mars

On Thursday 2020-10-22 in the evening, I captured image sequences of Mars (see seperate post). During one of the infrared test sequences (I wanted to compare noise levels at +2C vs. -20C) I saw a brief dark shadow passing the disk of Mars. First out, I thought it might have been a bat. But later on, when I analyzed the video, I found out, that the shadow was a satellite transiting Mars 🙂

The transit started at 2020-10-22 18:27:45.498 UT. The satellite left the disk of Mars at 18:27:45.687. So the duration was a very brief 190 Milliseconds! As I recorded with 178 frames/second, I could capture 27 individual images of the transit.

I definitively was very lucky to have registered the shadow during capture time. Otherwise I would never have seen this event in post processing…

Optics used: 10″ f/5 Newton with 2.5x Barlow (effective focal length was 3125mm)
Recorded with IR-650nm pass filter on QHY183M camera at +2C with 178 fps

Comet C/2020 M3 ATLAS – Nucleus movement

Saturday night (2020-11-21) I recorded LRGB data of comet C/2020 M3 ATLAS. Upon inspecting the image data, I detected a spinning movement of the comets nucleus. To show the movement, I combined the 34 individual LRGB images (240 seconds each) to one stack with the comet forming a curving trail.
During the course of 142 minutes, the comet moved 470 arcseconds (3.3 arcseconds per second).

Comet C2020 M3 ATLAS

Last night I had to travel to Vienna. Fortunately I had to pass the eastern foothills of the Alps. As the motorway already went up to almost 1000m a.s.l, it was a 10 minutes detour to reach a dark place above the persistent and annoying fog layers (which are typically at 600 to 1200m a.s.l and quite frequent in autumn and winter).

I had packed my AZ-GTi travel mount, 72mm f6 APO and Sony A6400 as super lightweight and quick setup combo. I could capture almost half an hour of data, before the fog climbed up the hill. Unfortunately the amount of data was too low for good noise base. But anyway – as a first and quick result, it is very well pleasing 🙂

Moon meets Venus

In the morning hours of October 14th, before dawn started to illuminate the sky, Moon and Venus were quite close next to each other. With a distance of 4 degrees and only 10% of the lunar surface illuminated, it was a beautiful sight!

Image captured with 200mm lens on tripod. No tracking. Minimal post processing with level adjustment and cropping.

Mars in opposition and (almost) all other planets

Finally, in the evening of 2020-10-08, there came a cloud free night with the moon rising not too early. Although the seeing conditions were not really faborable (high jet stream speed and rather bad layers), I had to go planet hunting.

Jupiter and Saturn were rather low, but still well placed from my home location. Mars was already well up in the sky when night fell. Inbetween there were Neptune and Uranus. Both of them not quite spectacular with persisting seeing conditions.
And finally I took a shot of the beautifully lit mountains on the Moon. The picture shows Montes Apenninus at the lower right, Montes Caucasus to the right (almost lost in the shadow) and Montes Alpes around Mare Imbrium. (North is up)

This time, I used my 10″ f/5 Newtonian with a 2.5x Barlow lens, to test oversampling capabilities. Well… The seeing conditions would rather call for no barlow at all, but I had to test the combo 🙂

All images are created from 4 separate, RGB+IR filtered video (SER) files with QHY183M camera. Each video consists of 500-10000 individual frames, from which 6-10% of the best were stacked.
The resulting resolution is 0.158 arc-seconds per pixel, which is a 3x oversampling of the 10″ scope (0.464 arc-seconds Dawes limit); Except the Moon, which is scaled to 33%

See the results processed AutoStakkert!3, Registax and Photoshop here:

Comet C2020/F3 NEOWISE Update

Finally, after a couple of days, clouds did break up for an unobstructed view of comet C2020/F3 NEOWISE. This time, I left the city area for a quite dark spot (21.3mpss / Bortle 4) at 1600m above sea level. At around 11pm, the comet got clearly visible with naked eye. With binoculars, the comets tail got some structure.

While my cameras did collect images, there was enough time to marvel on the summer milky way and several of the treasures in constellations Sagittarius and Eagle (Lagoon nebula, Eagle nebula, Butterfly cluster, Trifid nebula, …)
As a bonus, there have been lots of meteors to enjoy!

Comet C2020/F3 NEOWISE movement within 3 hours on 2020-07-20, starting at 22:38 UTC+2

Comet C2020/F3 NEOWISE already visible in the evening!

Yesterday night, before going to bed, I took a brief look at the night sky. Fortunately, the forecast clouds did not yet appear. So I took my binoculars and went up to the top most window of my condo’s stair case, which is facing north.
I could not spot the comet with my bare eyes. Though with binoculars, the comet was a pleasant sight, even though it was low in the suburban light polluted sky. At this moment, the comet was a mere 5.5 degrees above the horizon.

So I rushed back down the stairs and grabbed my camera and a tripod. I intentionally did not use one of my tracking mounts, as I expected the comet to reach the adjacent roof top within a short period of time.
Within a few minutes I could capture a set of images to process. Here are the results, all captured with Sony A99-ii and 70-200mm/f2.8 tele lens at 200mm:

It is obvious that the 30x4s ISO1600 exposures are far better in noise than the 115×2.5s ISO12800 exposures. Apart from that (ignore the color cast and gradients, which result from bad calibration data), a lot of information may be pulled from the stacked images.

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