Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-25T16:20:05.005Z Has data issue: false hasContentIssue false
  • English
  • Français

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: [email protected], [email protected]
Kolja Glogowski
Affiliation:
Kiepenheuer-Institut für Sonnenphysik, 79104 Freiburg, Germany email: [email protected], [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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
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