Gravitational microlensing events with high peak magnifications provide a
much enhanced sensitivity to the detection of planets around the lens star.
However, estimates of peak magnification during the early stages of an event by
means of chi^2 minimization frequently involve an overprediction, making
observing campaigns with strategies that rely on these predictions inefficient.
I show that a rudimentary Bayesian formulation, incorporating the known
statistical characteristics of a detection system, produces much more accurate
predictions of peak magnification than chi^2 minimisation. Implementation of
this system will allow efficient follow-up observing programs that focus solely
on events that contribute to planetary abundance statistics.Comment: Accepted by ApJ. 19 pages, incl 7 figures and 2 table