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Trend Analysis of 51 Carbon Long-Period Variables

Published online by Cambridge University Press:  25 May 2016

Janet Akyüz Mattei
Affiliation:
American Association of Variable Star Observers, Cambridge, MA 02138, U.S.A.
Grant Foster
Affiliation:
American Association of Variable Star Observers, Cambridge, MA 02138, U.S.A.

Abstract

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We have performed a trend analysis of 51 long-period variables (LPVs) of spectral types C, R, N, and S using 90 years of AAVSO data. We studied the periods and amplitudes, as well as the fall time (the time from maximum light to minimum), the rise time (from minimum to maximum), and the magnitudes at maximum and minimum. We also looked for time evolution of period and amplitude in the light curves themselves. The periods are more stable than the other parameters, with longer-period stars more likely to show period fluctuations than shorter-period stars. Fall time and rise time tend to evolve oppositely (mirror evolution), keeping the period fairly constant, whereas magnitude at maximum and minimum often evolve together (parallel evolution). About half of these stars are getting fainter, especially at maximum light, showing a secular dimming of magnitude at maximum; none shows a secular brightening.

Type
Session IV — Variability
Copyright
Copyright © Kluwer 2000 

References

Campbell, L. 1926, Harvard Ann., v. 79, no. 2 Google Scholar
Campbell, L. 1955, Studies of Long Period Variables, AAVSO, Cambridge, Massachusetts Google Scholar
Foster, G. 1995, AJ, 109, 1889 Google Scholar
Foster, G. 1996a, AJ, 111, 541 Google Scholar
Foster, G. 1996b, AJ, 111, 555 Google Scholar
Foster, G. 1996c, AJ, 112, 1709 Google Scholar
Harrington, J. P. 1965, AJ, 70, 569 Google Scholar
Mattei, J. A., Mayall, M. W. & Waagen, E. O. 1990, Maxima and Minima of Long Period Variables 1949-1975, AAVSO, Cambridge, Massachusetts Google Scholar