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The idea of finding extrasolar planets (ESPs) through observations
of drops in stellar brightness due to transiting objects has been
around for decades. It has only been in the last ten years, however,
that any serious attempts to find ESPs became practical.
The discovery of a transiting planet around the star HD 209458 (Charbonneau
et al. [CITE]) has led to a veritable explosion of research,
because the photometric method is the only way to search a large number
of stars for ESPs simultaneously with current technology. To this point,
however, there has been limited research into the various techniques used
to extract the subtle transit signals from noise, mainly brief summaries
in various papers focused on publishing transit-like signatures in
observations. The scheduled launches over the next few years of satellites
whose primary or secondary science missions will be ESP discovery motivates
a review and a comparative study of the various algorithms used to perform
the transit identification, to determine rigorously and fairly which one
is the most sensitive under which circumstances, to maximize the results of
past, current, and future observational campaigns.
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