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Tutorial on Stacking and H-alpha Imaging
Images at
http://home.att.net/~dpersyk/new.htm I have prepared a series of images of IC 468 (Thor's Helmet) that illustrate the benefits of stacking images. Images with total integrations from 10 seconds to 4200 seconds are presented. Scope is 4-inch refractor, camera MX716. I also show images with and without an H-alpha filter. The contrasts are striking. I hope you will take a look and find the page informative. Clear skies, Dennis Persyk Igloo Observatory Home Page http://dpersyk.home.att.net Hampshire, IL |
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Tutorial on Stacking and H-alpha Imaging
Tim Auton tim.auton@uton.[groupSexWithoutTheY] wrote in message . ..
(Dennis Persyk) wrote: Images at http://home.att.net/~dpersyk/new.htm I have prepared a series of images of IC 468 (Thor's Helmet) that illustrate the benefits of stacking images. Images with total integrations from 10 seconds to 4200 seconds are presented. Scope is 4-inch refractor, camera MX716. I also show images with and without an H-alpha filter. The contrasts are striking. I hope you will take a look and find the page informative. Most interesting, not to mention reassuring for those of us without double-digit apertures who are interested in imaging DSOs! Having seen you results a H-alpha filter just moved well up my wish-list. Thanks for putting it out there for us all to learn from and be inspired by. I'm curious about the (apparent) background noise on the 10s H-alpha image - is that a result of the H-alpha filter dimming the image and the noise being emphasised by you cranking up the brightness in post-processing to compensate? Tim Hi Tim, Thanks for checking out my web page. The H-alpha filter is truly the world's best light pollution filter if one is imaging emission nebulae. The noise grains are individual dark (thermally emitted) electrons. I did do a dark frame subtract, but, of course, the distribution of dark electrons is purely random. Thus from one 10 second image to the next, their distribution will vary spatially. Hence for short exposures with a low dark current camera like the MX716, dark frame subtraction does not really help. And yes, I have performed very, very aggressive histogram stretching on all of the images. Clear skies, Dennis |
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Tutorial on Stacking and H-alpha Imaging
On 21 Mar 2004 09:36:15 -0800, (Dennis Persyk) wrote:
The noise grains are individual dark (thermally emitted) electrons. I did do a dark frame subtract, but, of course, the distribution of dark electrons is purely random. Thus from one 10 second image to the next, their distribution will vary spatially. Hence for short exposures with a low dark current camera like the MX716, dark frame subtraction does not really help. And yes, I have performed very, very aggressive histogram stretching on all of the images. Some clarification might be in order. Dark current is constant at any given temperature, and dark current noise increases as the square root of that. The dark current signal is perfectly subtracted, leaving only the dark current noise behind. The signal accumulates faster than the dark current noise, so the S/N increases with exposure time. In terms of thermal noise, there is no difference between a single long exposure and a stack of very short ones of equivalent time. The noise you are seeing in the short exposures is not thermal noise, but readout noise. Readout noise is what ultimately determines the minimum possible exposure time, since it is a constant independent of time. With a high thermal noise camera, or under light skies, readout noise is quickly swamped by other noise sources, and there is no disadvantage to short exposures. With a well cooled camera under dark skies, however, individual exposure times of 30 minutes or longer may be necessary before the effects of readout noise are made insignificant. _________________________________________________ Chris L Peterson Cloudbait Observatory http://www.cloudbait.com |
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Tutorial on Stacking and H-alpha Imaging
Chris L Peterson wrote in message . ..
On 21 Mar 2004 09:36:15 -0800, (Dennis Persyk) wrote: The noise grains are individual dark (thermally emitted) electrons. I did do a dark frame subtract, but, of course, the distribution of dark electrons is purely random. Thus from one 10 second image to the next, their distribution will vary spatially. Hence for short exposures with a low dark current camera like the MX716, dark frame subtraction does not really help. And yes, I have performed very, very aggressive histogram stretching on all of the images. Some clarification might be in order. Dark current is constant at any given temperature, and dark current noise increases as the square root of that. The dark current signal is perfectly subtracted, leaving only the dark current noise behind. The signal accumulates faster than the dark current noise, so the S/N increases with exposure time. In terms of thermal noise, there is no difference between a single long exposure and a stack of very short ones of equivalent time. The noise you are seeing in the short exposures is not thermal noise, but readout noise. Readout noise is what ultimately determines the minimum possible exposure time, since it is a constant independent of time. With a high thermal noise camera, or under light skies, readout noise is quickly swamped by other noise sources, and there is no disadvantage to short exposures. With a well cooled camera under dark skies, however, individual exposure times of 30 minutes or longer may be necessary before the effects of readout noise are made insignificant. _________________________________________________ Chris L Peterson Cloudbait Observatory http://www.cloudbait.com Hi Chris, After looking at the statistics in dark frames of 0.1, 1, 10 and 100 seconds, I see that you are correct. They all have nearly the same noise properties, so indeed at low signal levels the readout noise predominates. Thank you for the correct interpretation. Clear skies, Dennis |
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Tutorial on Stacking and H-alpha Imaging
Tim Auton tim.auton@uton.[groupSexWithoutTheY] writes:
I'm curious about the (apparent) background noise on the 10s H-alpha image - is that a result of the H-alpha filter dimming the image and the noise being emphasised by you cranking up the brightness in post-processing to compensate? Surely the difference in noise -as well as in signal- between the unfiletered and Ha-filtered 10s images is different processing of the two images? The Ha-filtered image must be "pressed" harder than the unfiltered one to bring out details. After all, a filter cannot increase the signal, as the comparison would seem to suggest. pej -- Per Erik Jorde |
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Tutorial on Stacking and H-alpha Imaging
Per Erik Jorde wrote in message ...
Tim Auton tim.auton@uton.[groupSexWithoutTheY] writes: I'm curious about the (apparent) background noise on the 10s H-alpha image - is that a result of the H-alpha filter dimming the image and the noise being emphasised by you cranking up the brightness in post-processing to compensate? Surely the difference in noise -as well as in signal- between the unfiletered and Ha-filtered 10s images is different processing of the two images? The Ha-filtered image must be "pressed" harder than the unfiltered one to bring out details. After all, a filter cannot increase the signal, as the comparison would seem to suggest. pej The processing is indeed different between the images, but Chris' point about readout noise is very important. Let's consider the 10 second no filter and 10 second H-a filter images. http://home.att.net/~dpersyk/new.htm Bear in mind that the images were acquired under a full moon, with a visual limiting magnitude of 1.5. In the case of the filterless image, I processed by moving the black point to where the sky was dark. No matter how I processed, I could not bring out any of the luminosity of the nebula because it was swamped out by moonlight. The target-to-background ratio was very poor. The moonlight also swamped out the readout noise, so we do not see any of the graininess. Now, in the H-a filtered image, the filter is passing virtually only light from the emission nebula, and the moonlight and other sky background is nearly zero. I processed so as to show that some nebulosity was now visible, and in so doing, I accentuated the read noise. The nebula's emission signal level in the filtered image is virtually the same as in the unfiltered image but the _background_ is orders of magnitude less in the filtered image. That is the power of hydrogen-alpha imaging of emission nebulae. Thanks for an interesting discussion. I have learned a lot. Clear skies, Dennis Igloo Observatory Home Page http://dpersyk.home.att.net Hampshire, IL |
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Tutorial on Stacking and H-alpha Imaging
Tim Auton tim.auton@uton.[groupSexWithoutTheY] wrote:
(Dennis Persyk) wrote: Images at http://home.att.net/~dpersyk/new.htm [snip] I'm curious about the (apparent) background noise on the 10s H-alpha image - is that a result of the H-alpha filter dimming the image and the noise being emphasised by you cranking up the brightness in post-processing to compensate? [loads of good answers and discussion] Well, I'll take that all as pretty much a yes then But I now know exactly what kind of a yes and why, and how I would better phrase the same question next time (not that I'll need to ask again). I probably should have been clearer that I meant background noise relative to the unfiltered 10s exposure, but everyone seemed to understand what I was getting at anyway. Most informative, thanks all. Tim -- Love is a travelator. |
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Tutorial on Stacking and H-alpha Imaging
On 22 Mar 2004 09:58:02 +0100, Per Erik Jorde wrote:
Surely the difference in noise -as well as in signal- between the unfiletered and Ha-filtered 10s images is different processing of the two images? The Ha-filtered image must be "pressed" harder than the unfiltered one to bring out details. After all, a filter cannot increase the signal, as the comparison would seem to suggest. For short exposures, the Ha filter does not provide much advantage, since the image is dominated by readout noise. For long exposures, however, where (assuming a low thermal noise camera) the noise is dominated by sky background, the Ha filter provides a better S/N (even though, as you correctly note, the total signal is reduced). _________________________________________________ Chris L Peterson Cloudbait Observatory http://www.cloudbait.com |
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