Power spectra decomposition of 36 RS CVn UBV photometric light curves from the first two years of the automatic photoelectric telescope
Description
The first search for multiple periodic structure of a major subset of the RS CVn class of interacting binary stars systems, using a rigorous numerical approach appropriate to unevenly-spaced gapped data, is presented. The main intent of this dissertation is to characterize properly the power spectral content of RS CVn binary light curves and describe how this information can constrain the current models for the systems. If the light curve can be considered as a tracer of stellar surface activity, then the photometric distortions can be used to characterize magnetic activity cycles and add to the understanding of stellar dynamics. Most of the systems exhibit multiple periodic structure, 40% of which show changes in the photometric period on a time scale of a few hundred days. A preference is observed for photometric periods with time scales near the orbital and half orbital periods. The effect is particularly strong for the shorter period systems and is interpreted as evidence for synchronous, or near synchronous, rotation. A strong linear correlation in the periods for the multiply periodic systems is observed which indicates a preferential pairing of spot groups on the stellar surface. No correlation is found for the relative phases of the multiple periodic signals. Changes in the photometric period are associated with variations in the amplitude of the distortion wave, which would indicate the growth and decay of spot groups. The growth and decay of pairs of spot groups, arbitrarily separated in phase, on a differentially rotating star is the model most consistent with the results of my analysis
Availability note (English)
University Microfilms, PO Box 1764, Ann Arbor, MI 48106, Order No.88-20,689.Additional details
Publishing Information
- Publisher
- Univ. of New Mexico.
- Imprint Place
- Albuquerque, NM (USA)
- Imprint Pagination
- 735 p.
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 21091598
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Resource subtype / Literary indicator
- Thesis, Non-conventional Literature
- Descriptors DEI
- BINARY STARS; CORRELATIONS; DATA ACQUISITION; DATA PROCESSING; DYNAMICS; GRAVITATIONAL INTERACTIONS; PHOTOMETRY; ROTATION; STAR MODELS; STARSPOTS; STELLAR ACTIVITY; TELESCOPES; VARIATIONS
- Descriptors DEC
- BASIC INTERACTIONS; MATHEMATICAL MODELS; MECHANICS; STARS