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Pysca – Automated frequency extraction from photometric time series

Published online by Cambridge University Press:  18 February 2014

Wiebke Herzberg  and
Kolja Glogowski
Wiebke Herzberg
Affiliation:
Kiepenheuer-Institut für Sonnenphysik, 79104 Freiburg, Germany email: herzberg@kis.uni-freiburg.de, glogowski@kis.uni-freiburg.de
Kolja Glogowski
Affiliation:
Kiepenheuer-Institut für Sonnenphysik, 79104 Freiburg, Germany email: herzberg@kis.uni-freiburg.de, glogowski@kis.uni-freiburg.de
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Abstract

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Pysca, a Python software package for automated extraction of frequencies, amplitudes and phases from non-equally sampled photometric time series, is presented.

Keywords

methods: data analysisstars: oscillations

Information

Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 9 , Symposium S301: Precision Asteroseismology , August 2013 , pp. 421 - 422
Copyright
Copyright © International Astronomical Union 2014 

References

Herzberg, W. & Glogowski, K. 2013, PyPI, http://pypi.python.org/pypi/pysca/Google Scholar
Lenz, P. & Breger, M. 2005, CoAst, 146, 53Google Scholar
Press, W. H. & Rybicki, G. B. 1989, ApJ, 338, 277CrossRefGoogle Scholar