Georg N. Nyman · Mar 29, 2026 at 06:53 PM
Very interesting explanations!
I use Voyager and NINA and from my experience - but please do correct me, if this is a false impression, the result depends also very much on the choice of AF hardware brand and the optical system.
I have the ZWO EAF, Pegasus Focus Cube 3, iOptron iAF and the Primalucelab SestoSenso 2 ( “collected” of several years). AF on the same optical system gives more or less (more less) similar but by far not nearly identical results. I tried them all on my RASA11 (f/2.2, 620mm fl)
The least accurate from my experiences is the Pegasus Focus Cube, then comes the iOptron iAF, the EAF from ZWO gives reasonably repeatable results but by far the most accurate and most reliable results come from the SestoSenso 2 from Primalucelab (however that one is a bit a diva - sometimes, it does not connect, sometimes it needs to be reconnected).
I think, those results are caused by the step size, the repeatability of the mechatronics and the optical data of the system.
Having tried the same systems on my 12” TrussRC (f/6.8, 1950mm fl) - all of them are reasonably well usable.
CS
Georg
George,
You are right! There are can be a lot of variables that affect how any particular system might perform and in my AIC workshop, we went over a lot of that stuff—ranging from the effects of backlash, hysteresis, and the atmosphere. That’s why the data that I took using the Edge (shown above) used an air path of only about 6”. That eliminated any possibility of seeing effects so the results were only dependent on the mechanics. Under the sky, I see a lot of variation simply due to seeing so that’s a major issue in determining the ultimate precision that any system can achieve. Poor seeing always decreases focusing precision; but, you already know that!
In any case, you can measure the repeatability of your own system. Just pick a night with pretty good seeing and refocus 10-30 times and record the focus position. You can then look at the distribution of the data to determine the standard deviation about the mean. Just looking at the shape of the distribution can also be instructive. It should look like a gaussian curve but if it doesn’t, something might be wrong.
John