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Optical Astronomy Imaging Chain: Telescopes & CCDs. Reflector telescopes: basic principles. reflection: angle in = angle out as a result, spherical mirrors would suffer from spherical aberration the virtues of parabolas parallel incident rays are brought to common focus
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Reflector telescopes: basic principles • reflection: angle in = angle out • as a result, spherical mirrors would suffer from spherical aberration • the virtues of parabolas • parallel incident rays are brought to common focus • => primary mirrors are ground to paraboloid shape
Basic optical designs: Prime focus: light is brought to focus by primary mirror, without further deflection Newtonian: use flat, diagonal secondary mirror to deflect light out side of tube Cassegrain: use convex secondary mirror to reflect light back through hole in primary Nasmyth focus: use tertiary mirror to redirect light to external instruments Optical Reflecting Telescopes
f = F/D where F is focal length and D is diameter must consider focal length of primary & secondary mirrors combined Determines “plate scale” plate scale is measured in e.g. arcsec per mm at the focal plane can be estimated from our friend, the small-angle relation theta=S/F plate scale = theta/S = 1/fD for an f/16 10” telescope, plate scale = 50 arcsec per mm Telescope f-ratio
CCDs: pixel scale and field of view • Example: CCD pixel scale • take a plate scale of 50 arcsec per mm • CCD pixels are about 25 microns • => pixel scale would be 1.25 arcsec per pixel • Example: CCD field of view • For a 1000x1000 CCD with 1.25 arcsec pixels, field of view is 1250” or about 21 arcmin (could image most of Moon’s surface)
CCDs: pixel scale and field of view • Want to match CCD pixel scale to image “smear” = point spread function • remember main sources of image smear • telescope angular resolution • atmosphere • ideally, arrange pixel scale such that 2 CCD pixels cover width of PSF • image field of view then limited by format (number of pixels) of CCD • the bigger the better, but bigger means more expensive
CCDs: noise sources • dark current • can be “removed” by subtracting image obtained without exposing CCD • leave CCD covered: dark frame • read noise • detector electronics subject to uncertainty in reading out the number of electrons in each pixel • photon counting • Poisson statistics: if I detect N photons, the uncertainty in my photon count is root(N)
CCDs: artifacts and defects • bad pixels • dead, hot, flickering… • methods for correcting: • replace bad pixel with average value of the pixel’s neighbors • dithering telescope: take a series of images, move telescope slightly to ensure image falls on good pixels • pixel-to-pixel differences in QE • can construct and divide images by the flat field • flat field is what CCD would detect if uniformly illuminated • saturation • each pixel can only hold so much charge (limited well depth) • at saturation, pixel stops detecting new photons (like overexposure) • charge loss occurs during pixel charge transfer & readout
Spectral Response (sensitivity) of a typical CCD UV Visible Light IR Relative Response • Response is large in visible region, falls off for ultraviolet (UV) and infrared (IR) 300 400 500 600 700 900 800 1000 Incident Wavelength [nm]
Filters • Because CCDs have broad spectral response, need to use filters to determine e.g. star colors in visible • broad-band: filter width is about 10% of filter’s central wavelength • example: V filter at 550 nm will allow light from 500 to 600 nm to pass through • astronomers use BVRI: blue, ‘visible’, red, IR • narrow-band: filter width is <1% • example: “H-alpha” covers 650 to 660 nm