Computer Science – Learning
Scientific paper
Oct 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003jbaa..113..267m&link_type=abstract
Journal of the British Astronomical Association, vol.113, no.5, p.267-272
Computer Science
Learning
Scientific paper
Imaging comets, especially from the UK, used to be nothing less than a battle against the insensitivity of photographic film and the inevitable arrival of cloud on those crucial moon-free nights when a bright comet was close to perihelion. In recent years the situation has changed considerably. On the positive side modern CCDs are twenty times more light-sensitive than the best photographic emulsions, and image processing is far easier than messing around for hours with revolting chemicals in a darkroom. On the negative side the modern lives of working people leave little room for learning new skills and the stress of the modern working day leaves little enthusiasm for a night-time battle with clouds and unfriendly equipment. This author firmly believes that well-thought-out observatories and patient perseverance are the key to achieving success where imaging comets is concerned. Basically, anyone who has learned to use a computer can learn to take good comet images; it is all a question of surmounting the various hurdles in a systematic fashion.
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