Learn · Imaging

What is live stacking?

Live stacking means the telescope keeps taking short exposures, aligns them on the stars and averages them while you watch. Each new frame lowers the noise, so faint detail slowly appears. Four times as many frames give about half the noise.

Why not one long exposure?

A small telescope on an alt-azimuth mount cannot take a single exposure of an hour: the stars would trail, the field would rotate and one passing car or satellite would ruin it. Short exposures of 10 to 30 seconds avoid all of that. On their own they are noisy, but there are many of them.

What happens to every new frame

Why the noise goes down

Noise is random: in one frame a pixel is a bit too bright, in the next a bit too dark. The light from the nebula is the same every time. When you average N frames the signal stays and the noise shrinks by the square root of N. Four frames halve the noise, a hundred frames reduce it tenfold. That is why the image improves fast in the first minutes and more slowly after that.

The same nebula after more and more frames

1 frame · 10 s
6 frames · 1 min
60 frames · 10 min
360 frames · 1 h

Loading the example…

Simulated with our photo simulator from a survey photo of the Orion Nebula, cropped to a Seestar S50-sized frame. Not taken with a smart telescope.

Every panel uses 10-second frames from a suburban sky. With more frames the noise drops and the faint outer parts of the nebula appear.

How long should you stack?

Bright objects such as the Orion Nebula or the Ring Nebula look good after 10 to 20 minutes. Faint galaxies and large, dim nebulae are worth one to three hours, ideally spread over several nights. Light pollution adds noise, so from a city you need more time for the same result. The example below and our photo simulator show the difference.

Live stacking versus processing later

The live stack is a quick result for the screen. If your telescope saves the individual frames, you can stack them again later on a computer with free software such as Siril and get more out of the same data: better rejection of bad frames, gradient removal and careful colour processing.

Try it yourself →

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