Observation of Variable Stars and Astronomical Phenomena Using Autocorrelation to Calculate the Periodicity of Chi Cygni
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Autocorrelation is a commonly used method in time-series analysis that can be used to study the periodicity of irregularly sampled variable star data. The star of interest was Chi Cygni, which is a Mira Variable. Autocorrelation is applied to analyze the data found in the visual wavelength band. A tolerance variable is introduced to deal with irregularly sampled data sets. A period of 407 JD is obtained using a tolerance of 1 JD with an error of 0.258% and a period of 411 JD is obtained using a tolerance of 150 JD with an error of 0.723%.
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This research was supported by the Undergraduate Research Opportunities Program (UROP).
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Acharjee, Swastika. (2025). Observation of Variable Stars and Astronomical Phenomena Using Autocorrelation to Calculate the Periodicity of Chi Cygni. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/272433.
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