AAVSO: American Association of Variable Star Observers

Time-Series Analysis of Variable Star Data

Volume 32 number 1 (2004)

Download this article (pdf)

Matthew Templeton
AAVSO,

Abstract

Time-series analysis is a rich field of mathematical and statistical analysis, in which physical understanding of a time-varying system can be gained through the analysis of time-series measurements. There are several different techniques of time-series analysis that can be usefully applied to variable star data sets. Some of these techniques are particularly useful for data found in the AAVSO International Database. In this paper, I give a broad overview of time-series analysis techniques useful for variable star data, along with some practical suggestions for the application of different techniques to different types of variables. Included are elementary discussions of traditional Fourier methods, along with wavelet and autocorrelation analysis.

DJDT

History

Versions

Time

Settings from settings

Headers

Request

SQL queries from 1 connection

Static files (1822 found, 1 used)

Templates (5 rendered)

Cache calls from 1 backend

Signals

Log messages

Profiling