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What ISO?


Andrew*

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Hi John

Firstly the subtraction (differencing) of two flats removes the fixed pattern noise.

Because the images are of very similar signal, doing a straight subtraction will leave lots of zeroes, clipping the histogram and destroying the std dev measurements

so we need to add 2000-3000 ADU to one of the frames (the one on top of the subtraction.....

open up the image math option in whatever programme you are using.

there should be an option to add an offset to one of the frames.

either that or in pixel math (which usually includes options like dividing/multiuplying pixel values by a constant) ADD a value of 2000-3000.

adding alters the average value of the differenced frame but perfectly preserves the std dev.....which is what we want (actually std dev^2)

hope that helps......

same for the read noise (differencing of bias frames)....remember the factor of root 2.....

let us know the results, and good luck with the analysis

paul

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I'm messing something up in here I think... Here's my results...

Iso Gain Read Noise Full Well Dyn Range

100 286.64 4.05 40989.52 10111.63

200 274.60 5.83 39267.80 6741.08

400 268.09 20.85 38336.87 1838.48

800 268.17 60.68 38348.04 631.98

1600 271.30 109.35 38795.56 354.79

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Paul, I've checked the formula a dozen times (before posting those up)... I'm using an Excel spreadsheet to do the number crunching for me.

The only thing I can think is I didn't take the frame properly...

Flats, I did what I do for all my imaging... I used my lappy screen running VBL maximised, camera set in aperture priority, only varied the ISO. I shot with a lens on, but set to infinity, manual focus, inside min focus distance, at f8 to eliminate risk of vignetting.

Bias, Shutter priority, highest shutter speed 1/4000 with the lens cap on.

Here's the values from the Bias Frames

ISO Mean St.Dev.

100b1 0

100b2 0 0.02

200b1 0

200b2 0 0.03

400b1 0

400b2 0 0.11

800b1 0.02

800b2 0.01 0.32

1600b1 0.04

1600b2 0.04 0.57

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