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Detection of Weak Periodic Signals from Irregularly Spaced Observations

Published online by Cambridge University Press:  12 April 2016

Jörg Pfleiderer  and
Martin Mössner
Jörg Pfleiderer
Affiliation:
Inst. of Astronomy, Leopold-Franzens-University, Innsbruck, Austria
Martin Mössner
Affiliation:
Inst. of Astronomy, Leopold-Franzens-University, Innsbruck, Austria

Abstract

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We perform time series analysis on irregularly spaced data with large gaps. Our algorithm is based on multidimensional nonlinear optimisation. Particular emphasis is given to the selection and deletion of frequencies. The final result is checked by various statistical tests.

Type
Part 2. Poster Papers
Information
International Astronomical Union Colloquium , Volume 155: Astrophysical Applications of Stellar Pulsation , 1995 , pp. 283 - 284
Copyright
Copyright © Astronomical Society of the Pacific 1995

References

Breger, M., et al. 1989, “Multiple close frequencies of the Delta Scuti star Θ2 Tauri. II. The second multi-site campaign”, A&A, 214, 209–219 Google Scholar
Deuflhard, P. 1974, “A Modified Newton Method for the Solution of Ill-Condi-tioned Systems of Nonlinear Equations with Applications to Multiple Shooting”, Numerische Mathematik, 22, 289–315 CrossRefGoogle Scholar
Dougherty, E.R. 1990, “Probability and statistics for the engineering, computing and physical sciences”, Prentice Hall International, London Google Scholar
Golub, G.H., & van Loan, Ch.F. 1991, “Matrix Computations”, The Johns Hopkins University Press, Baltimore Google Scholar
Mössner, M., Netzer, N., & Pfleiderer, J. 1995, “Efficient computing of the Anderson-Darling Test Statistic”, submittedGoogle Scholar
Mössner, M. & Pfleiderer, J. 1993, “Automatic Analysis for Time-Series with Large Gaps”, Proc. of the 5th ESO/ST-ECF Data Analysis Workshop (Grosbøl, P.J. and de Ruijsscher, R.C.E., eds.), ESO, 197–202 Google Scholar
van Huffel, S. & Vandewalle, J. 1991, “The Total Least Squares Problem. Computational Aspects and Analysis”, SIAM, Philadelphia Google Scholar