bobn2
Forum Pro
That would be the case if there was a single, feedback amplifier. In practice there seems generally to be two or three separate stages, in each one the first transistor contributes the bulk of the noise, that being the way FB amplifiers work. The noise contribution of the source follower, I am informed, is quite small, since it has zero voltage gain and is usually designed for low noise. Could be wrong. I haven't direct experience of designing CMOS image sensors (although I do of other CMOS) - I just go by what those that do say, and the papers they write.I don't think so. At high ISO the first transistor should dominate[snip]
I suspect that the source follower noise is a smallish component of
the total noises [snip]
the read noise.
No that's not right. I had a brainfart a bit ago when i suddenly started thinking that was the case, but it's not. The reason is that when you input refer the read noise, it scales with the pixel size (it's a voltage noise, and you pass it backward through the cell capacitance to get it input referred - I pointed this out to the wider community, then for some reason my brain decided to deny it).No, if the read noise per pixel is constant then the effective readIn practice, it's enough that read noise stays constant. Since
increasing pixel density reduces read noise/area, it's still a win,
just not as much as if the read noise per pixel were reducing too.
[snip]
noise increases by the square root of the pixel density.
The last is wrong. Should beThis is why
read noise limits density. The same calculation for shot noise shows
that if quantum efficiency is constant then shot noise is independent
of pixel density:
Dividing up one large pixel into N small ones:
small pixel signal = large pixel signal N
small pixel shot noise = large pixel shot noise/sqrt(N)
small pixel read noise = large pixel read noise
small pixel read noise = large pixel read noise/N (input referred)
Last one should beAfter adding the small pixels back together:
summed pixels signal = large pixel signal * N/N
summed pixels shot noise = large pixel shot noise * sqrt(N) sqrt(N)
summed pixels read noise = large pixel read noise * sqrt(N)
summed pixels read noise = large pixel read noise * sqrt(N) N = large pixel read noise/sqrt(N)
--
Bob