Abstract
It is important not to over, or under, parameterise a data set during analysis, as otherwise physically unreliable values will result. This problem is of considerable concern in the analysis of eclipsing binary light curves, where it is always tempting to include the effects of more “accurate” formulations, or of additional, physical processes. The Information Limit Optimisation Technique (ILOT) seeks to avoid this by examining the χ2 parameter space about the adopted solution, to ensure that the information content of the data is matched by that of the model being applied to it. New developments in the ILOT technique, which is currently enjoying a growth in usage, are also outlined. Solutions derived by the ILOT approach have recently been shown to be comparable to those found by the other main computer methods of eclipsing binary light curve analysis.
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© 1993 Springer-Verlag New York, Inc.
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Banks, T. (1993). The Information Limit Optimisation Technique. In: Milone, E.F. (eds) Light Curve Modeling of Eclipsing Binary Stars. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2742-7_17
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DOI: https://doi.org/10.1007/978-1-4612-2742-7_17
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