The analysis of indexed astronomical time series - X. Significance testing of O-C data

Details The analysis of indexed astronomical time series - X. Significance testing of O-C data The analysis of indexed astronomical time series - X. Significance testing of O-C data

Jan 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006mnras.365..489k&link_type=abstract

Monthly Notices of the Royal Astronomical Society, Volume 365, Issue 2, pp. 489-495.

Other

5

Methods: Data Analysis, Methods: Statistical, Stars: Variables: Other

Scientific paper

It is assumed that O-C (`observed minus calculated') values of periodic variable stars are determined by three processes, namely measurement errors, random cycle-to-cycle jitter in the period, and possibly long-term changes in the mean period. By modelling the latter as a random walk, the covariances of all O-C values can be calculated. The covariances can then be used to estimate unknown model parameters, and to choose between alternative models. Pseudo-residuals which could be used in model fit assessment are also defined. The theory is illustrated by four applications to spotted stars in eclipsing binaries.

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