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A simple period finding procedure for astronomical time series with few observational data
OCTAVIO CARDONA NUÑEZ
MARIA DE LOS ANGELES LOPEZ CASTILLO
JOSE MOISES REYES MUÑOZ
Acceso Abierto
Atribución-NoComercial-SinDerivadas
A procedure for finding periods in astronomical time series containing few observational data using simple mathematical operations are developed. Selecting data close to the maximum or minimum values of the time series differences among these values around the maximum or minimum are obtained to produce a set of intervals. Using a technique similar to the least common divisor and applying the maximum common denominator to the set of intervals approximate periods are found. The different ways to improve the periods found are presented. The procedure is applied to a simulated random sinusoidal data set and also to some data from binary and pulsating variable stars to show how the procedure works. The procedure is simple to use for any type of data spacing and with gaps and produces results in accordance with other methods.
Instituto Nacional de Astrofísica, Óptica y Electrónica
2012
Reporte
Inglés
Estudiantes
Investigadores
Público en general
ASTRONOMÍA Y ASTROFÍSICA
Versión aceptada
acceptedVersion - Versión aceptada
Aparece en las colecciones: Reportes Técnicos de Astrofísica

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