Phase Dispersion Minimization Techniques for Variable Stars
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Phase Dispersion Minimization (PDM) is a technique for detecting periodicity in irregularly sampled data sets, or data sets with sparse samples, when a Fourier transform may fail. PDM techniques are applied to visual wavelength luminosity data for the MIRA variable star Chi Cygni, and the period of Chi Cygni is calculated to be within a Julian day of existing estimates. We simulate irregularly samples sparse data sets by randomly selecting data points and using PDM techniques to calculate the period of Chi Cygni. With as little as 1.5 % of the total data, the period of Chi Cygni is calculated within a Julian day.
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This research was supported by the Undergraduate Research Opportunities Program (UROP).
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Lundgren, Riley. (2025). Phase Dispersion Minimization Techniques for Variable Stars. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/271554.
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