The Myth:
equivalent S/N =
exposure-time scaled by f-ratio, regardless of aperture.
Or
relative
S/N = exp_time / f-ratio^2.
Example: a 10-minute exposure with a 10” f/10 scope is equivalent
to a 5-minute exposure with a 10” f/7 scope.
This
is false!
Varying
the f-ratio of a constant aperture has little or no affect on real S/N, except
in certain limited circumstances. The relationship of exposure-time and f-ratio
only holds true for equivalent focal lengths, which means the aperture must be
varied to produce a given f-ratio.
The
“CCD f-ratio myth” originates in people’s experience with film-based
photography, where the exposure-time/f-ratio relation is practically considered
a “law of nature”. But that “law” is
actually a consequence of some peculiar properties of film emulsions that
largely do not affect CCD imaging (though there are some potentially analogous
properties).
Film
emulsion response is sensitive to spatial-flux (photons/area) and, to a lesser
extent, temporal-flux (the “reciprocity” effect). Film response diminishes with
both low and high spatial-flux so it is highly desirable to optimize photons
per area. This is done by varying
exp-time &/or f-ratio, which gives rise to the “exposure-time / f-ratio
law”.
CCD
response is basically insensitive to spatial-flux and time-flux. A photon’s probability of detection is
determined solely by QE regardless of spatial or temporal flux (or pixel size
or number of pixels). That’s why CCD is
said to be a “linear detector”. The
“exposure-time / f-ratio law” is inappropriate for CCD, although there are two
CCD characteristics (saturation and readout-noise) that can roughly mimic this
relationship under certain circumstances.
Varying
CCD exposure-time or f-ratio varies the number of photons per pixel. If the number of photons approaches the
holding capacity of the pixel (“full well”) then saturation occurs and the
detector is no longer linear. Thus a
fast f-ratio &/or long-exp-time may result in an “over-exposure” that is
roughly analogous to film.
CCD
low-flux situations are complicated by camera noise (primarily readout noise
and to a much lesser extent, dark noise).
If the noise from the object and sky-glow is significantly larger than
the camera noise then that camera noise has little effect on the image (due to
the quadratic nature of noise). But if
the object and sky are both low-level (dim or short exp) then camera noise may
become significant and degrade the image. Because camera noise is pixel based,
this potential degradation is sensitive to the number of pixels used to capture
an object or sky-area, and thus it is sensitive to f-ratio. This effect can
roughly mimic film’s “under-exposure” in some circumstances (e.g. very short
exposures), though the CCD S/N function is actually very different from film’s
response function.
One
way to look at it might be to say that film has a narrow “sweet spot” that
requires a certain spatial flux, but CCD accommodates a much larger “zone”.
True S/N (Object S/N)
All
of the above is very interesting but it actually says almost nothing about the
relationship of exposure-time, aperture, f-ratio, etc. to “true S/N”!
“True
S/N” (or “object S/N”) refers to the actual information content of the
image. Object S/N measures information
about the target-object and determines important qualities of the image, such
as limiting magnitude and feature contrast and visibility. Object S/N is primarily determined by object
brightness, aperture, and camera QE.
F-ratio itself has virtually no effect on object S/N, except for some
potential secondary camera noise effects (discussed below).
Information
about an astronomical object (star, galaxy, nebula, features of galaxy or
nebula, etc.) is contained in the light that falls onto Earth. That light consists of a certain number of
photons per second per square meter of earth’s surface.
The
quality of information from an object depends on how many photons are captured
and measured by the instrument. The
number of object photons available to the camera is solely determined by:
1) Object flux (photons/second/square-meter)
2) Aperture size (square-meters) and efficiency
3) Exposure time
Focal
length (and thus f-ratio) has absolutely no effect on the number of
photons collected and delivered.
Note
that the collected information also contains noise from 2 sources:
1) Poisson noise of the object (square-root of the
number of photons)
2) Poisson noise of the sky-glow that occupies the area
of the target
A
perfect/ideal scope and camera would detect all of those photons and contribute
no noise, thus yielding the full S/N delivered by the scope:
Image
S = ObjectFlux * Time * Aperture
Image
N = sqrt(S + SkyGlow)
But
the situation is different for real scopes and cameras, with QE (Quantum
efficiency) and pixel noise (primarily readout).
Image
S = ObjectFlux *QE * Time * Aperture * ScopeEfficiency
Image
N = sqrt(S + SkyGlow + (PixNoise^2 * numPix))
I
should also mention here another limitation of real cameras – detector
size. Obviously the detector should be
larger than the object’s projected size (determined by the object’s angular
extent and the scope’s focal length).
F-ratio
has no effect on S/N from the perfect/ideal camera. But f-ratio can affect the
S/N from a real camera by varying the number of pixels used to capture the
object (numPix). This effect is often
miniscule, especially for images of bright objects or long exposure deep space
images (where SkyGlow dominates noise).
But for very short exposures or narrow-band images of dim objects, the
pixel noise can be very significant. (This is why binning is so beneficial for
very short exposures, an effect that is often erroneously attributed to
increased “pixel S/N” of combined pixels.)
Thus there is an actual relationship between S/N and f-ratio, but it is not the simple characterization of the “f-ratio myth”.
Below
is an illustration of the principle.
Each image is a 10-minute exposure using the same aperture (Tak CN-212)
at vastly different f-ratios. If the
“f-ratio myth” was true then the f/3.9 exposure should be 10 times “better”!
© Stan Moore 2005