This is the 3rd version of the lunar mosaic that was created with autostakkert! v4, registax and ms image composite editor (ICE).
The first one was overexposed (1ms), the second (0.5ms) was better exposed and used the best 25% of the frames but had strange green artifacts in some of the areas.
This third one was reprocessed from the raw .SER data files but used the best 50% of the frames in autostakkert!
The resulting 11Kx11K pixel image was reduced down to 800×800.
Archive for February, 2024
Planetary Imaging during a RASCKC monthly meeting. I love it!
This was from the evening of Wednesday 2024 Feb14th and seeing and transparency seemed to be almost dare I say above average. I was out from 18:38 ET to 20:48 ET. The 2nd half of the session got worse… high cloud cover coming in. And this with the partial phase moon very nearby!
This is the best 5% of 15k frames of 2.5ms each in a 180second run. Jupiter keeps getting smaller.. now only 38 arcseconds across.
The moon Europa is just starting to transit Jupiter in the lower left and the Great Red Spot is showing nicely.
Without looking in detail, I feel this is the best session of the year (this is #2024-05).
Autostakkert!V3 vs V4
I was made aware of an update to Autostakkert! a mainstay of my astronomical image processing.
I have been using V3 for some years now… V4 is now out.
AutoStakkert! Stacking Software – Lucky Imaging with an Edge – Emil Kraaikamp – AS!2, AS!3, AS!4
https://www.autostakkert.com/
AutoStakkert! is all about alignment and stacking of image sequences, minimizing the influence of atmospheric distortions (seeing). Its goal is to create high quality images of the Planets, the Sun, and the Moon, without too much hassle.
I could not find anything specific about v4 versus v3 but some of the changelog of v4.0.1:
4.0.1 – November 11, 2023
New data browser / selector
Performance optimizations, particularly when processing very large files
I used the latest v3.1.4 64 bit and v4.0.11 64 bit
The user interface is very much the same. I ran it against a complete nights session of 13 runs and at first blush, the end results look unremarkable.
So perhaps.. it may be faster? Let’s test that.
I selected an 11GB .SER file of a Jupiter 180 second run and used similar if not the same settings on both versions and timed them. This was located on an SSD to minimize drive speed effects.
In between benchmarks I waited for the RAM to be released after closing the program… This is a 32GB (Intel Core(TM) i7-6700 CPU @ 3.40GHz, win10pro 64bit) machine and both versions of autostakkert! used 24GB of that, when processing. I also ran it three times in order of 3,4,3,4,3,4 in case there were other caching issues at work.
V3 settings: Planet (COG); dynamic; automatic; local (ap)
V4 settings: Planet (COG); dynamic; laplace; noise 5; local (ap)
V3 bench1 analyze 40 sec
V3 bench1 stacking 34 alignment points were selected; the best 10% were processed and saved out as a .PNG file, normalize stack 7%; RGB align; no drizzle. 70 sec
V3 Bench1 total time 40+70=110 sec
V4 bench1 analyze 25 sec
V4 bench1 stacking 34 alignment points were selected; the best 10% were processed and saved out as a .PNG file, normalize stack 7%; RGB align; no drizzle. 70 sec
V4 Bench1 total time 25+ 70=95 sec
V3 Benchmark 2 45+71=116 sec
V3 Benchmark 3 43+72=115 sec
V4 Benchmark 2 25 + 70=95 sec
V4 Benchmark 3 27 + 70=97 sec
The average of three runs of V3 was (110+116+115/3=114 sec
The average of three runs of V4 was (95+95+97)/3=95 sec
Summary: V4 is 17% faster, all of it being in the initial analysis segment.
In the near future I will be taking a closer look for any quality issues between the two versions.
After that, the next software head to head is the wavelet processing… I still currently use registax v6.1.0.8 and it took a few years to get the settings I am comfortable with (I actually have a collection of 8 that I rotate through on the first image to see which is best). Next up is “wavesharp” v0.2 a much newer package… also less intuitive user interface 🙂
wavelet processing does not take a lot of time.. it is mainly that registax can only do one file at a time. It can take a good hour to wavelet process 40 odd runs, one at a time. It would be great if this new wavesharp does batch processing!
**updated 2024feb14
hmm.. probably should only compare the analysis section as the stacking times were almost identical.
ok..
bench v3 analyse times were 40, 45, 45 sec. averaging 43
bench v4 analyse times were 25, 25, 27 sec. averaging 26 sec
43-26=17 sec faster / 43=40%.
about 60% faster for the analysis
An unusual sequence of events occurred with Jupiter and its moons on the evening of Monday 2024 January 29th.
The moon Europa moving right to left, disappeared in behind Jupiter. A while Later the moon Io came out from behind Jupiter, but not from behind the limb but from the shadow of Jupiter.
Next comes Europa coming out from the disk… and then a short time later disappearing into Jupiters shadow! Fun!
I have never seen or imaged this. As Luck would have it, Monday was only the 2nd clear evening in January…
So what follows are a few of the better images showing the events, from a 42 run session.
Winter has finally arrived to our area, and with it, no or limited access to the Supersid radio telescope and the RadioJove telescope system. Both are offline and have been for a few weeks now as we work to access and repair what we can.
supersid has transitioned off the Raspberry Pi 3B and back onto a windows 10 system with a usb sound dongle. Auto FTP to stanford appears to be working but the data looks wrong… perhaps another critter has chewed through the coax?