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dc.contributor.authorKoen, Chris
dc.date.accessioned2021-02-11T07:40:48Z
dc.date.available2021-02-11T07:40:48Z
dc.date.issued2020
dc.identifier.citationKoen, C. (2020). Significance levels of common frequencies extracted from multiple data sets. Monthly Notices of the Royal Astronomical Society, 493(1), 48–54en_US
dc.identifier.issn1365-2966
dc.identifier.urihttps://doi.org/10.1093/mnras/staa190
dc.identifier.urihttp://hdl.handle.net/10566/5903
dc.description.abstractLarge monitoring campaigns, particularly those using multiple filters, have produced replicated time series of observations for literally millions of stars. The search for periodicities in such replicated data can be facilitated by comparing the periodograms of the various time series. In particular, frequency spectra can be searched for common peaks. The sensitivity of this procedure to various parameters (e.g. the time base of the data, length of the frequency interval searched, number of replicate series, etc.) is explored.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.subjectMethods: data analysisen_US
dc.subjectMethods: statisticalen_US
dc.subjectFrequency spectraen_US
dc.titleSignificance levels of common frequencies extracted from multiple data setsen_US
dc.typeArticleen_US


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