Quote:
Originally Posted by xelasnave
I see some images that have 50 hours or more.
Would there be any benefit in being able to capture ten times that?
Would say five hundred hours of data be exciting or over kill?
Alex
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Hi Alex,
I think that all else being equal, provided that the sub-exposures that make up your 50 or 500 hours are adequately exposed (not too underexposed/read noise limited or too overexposed as to blow out highlight detail) , then yes there is a benefit in the signal to noise ratio of the image, which if the data is randomly distributed should be around (up to) the square root of 10 = 3.16 times less noisy in the 500 hour compared to 50 hour images, processing not withstanding. How obvious that difference is, is another story and will depend on the starting point. How good is original 50 hour image reference? Was it taken with top end gear and therefore more likely to be high contrast/fine detailed/less noisy or was it taken with lower end gear such as webcams with "lesser" lenses.
To take your example, one might find the signal to noise ratio with top end equipment at 50 hours of total exposure already "entirely acceptable" and although 10 times the exposure duration would provide an improvement the improvement might be judged as potentially not worth the time for the incremental improvement (may have to occur over a few years of data collection depending on weather/conditions), whereas on lower end gear such as webcams/etc the improvement in signal to noise ratio will be more evident because of a lower starting point of the attendant 50 hour image.
That is not to say that quality images can't be achieved with certain gear, just that the higher you start, the better you'll be in terms of overall image quality with or without the 10 times exposure increase you proposed.
I think the Dragonfly telescope is a wonderful concept, that within
certain parameters and in certain applications can and has been shown to outperform many of of the big boys. It's also the sort of project that really interests me.
Best
JA