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Analysis of Long-Term Variability of Cataclysmic Variables

Published online by Cambridge University Press:  22 February 2018

S. Kafka  and
R. K. Honeycutt
S. Kafka
Affiliation:
Astronomy Department, Indiana University, 319 Swain Hall West, Bloomington, IN 47405USA
R. K. Honeycutt
Affiliation:
Astronomy Department, Indiana University, 319 Swain Hall West, Bloomington, IN 47405USA

Extract

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Photometric variability in cataclysmic variables (CVs) on time scales longer than a few days can be most effectively addressed by automated long-term monitoring programs such as that of RoboScope (Honeycutt & Turner 1992): more than 100 CVs have been monitored for about 13 years, obtaining 75 to 150 measurements per year for each system. Among the techniques being explored for analysing this data set is the use of the structure function (SF), an autocorrelation tool employed extensively for the study of the light curves of AGNs (e.g. Hufnagel & Bregman 1992). A first order SF measures the scatter in a time series of magnitudes, m, as as a function of the time lag, τ (Hughes, Aller & Aller 1992).

Type
The Contributed Papers
Information
International Astronomical Union Colloquium , Volume 194: Compact binaries in the galaxy and beyond , 2004 , pp. 238
Copyright
Copyright © Instituto de astronomia/revista mexicana de astronomίa y astrofίsica 2004

References

Hufnagel, B. R. & Bregman, J. N. 1992, ApJ, 386, 473 Google Scholar
Honeycutt, R. K. & Turner, G. W. 1992, ASP Conf. Ser. 34: Robotic Telescopes in the 1990s, 77Google Scholar
Hughes, P. A., Aller, H. D., & Aller, M. F. 1992, ApJ, 396, 469 CrossRefGoogle Scholar