Astronomy and Astrophysics – Astronomy
Scientific paper
Aug 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997esasp.402..269m&link_type=abstract
Proceedings of the ESA Symposium `Hipparcos - Venice '97', 13-16 May, Venice, Italy, ESA SP-402 (July 1997), p. 269-274
Astronomy and Astrophysics
Astronomy
34
Scientific paper
Red variables are traditionally loosely classified into Mira, semiregular (SR), and slow irregular (L) variables. The Mira variables are the best-defined subgroup, but the SR and L stars are more numerous. The SRs show significant inhomogeneities in their division into SRa (regular variability but smaller pulsation amplitudes than Miras), SRb (less regular variability), SRc (more luminous), and SRd (warmer) variables. Relationships within each group are not clear. To obtain useful P-L relations, and to relate stars to distinct evolutionary states, requires clear classification criteria. We report here on an analysis of longterm AAVSO light curves. We find that Mira-type variables are so clearly different from semiregular variables as to remove all doubt as to their distinction. M-type Miras and C-type Miras are likewise dramatically different in their light curve properties. The M-Miras show a large number of interesting relationships, and appear to form a homogeneous group. The pulsations of SR variables are extremely unstable. Perhaps of greatest interest, most SR variables are multiperiodic, showing two periods P_1 and P_2 whose ratio falls in the narrow range 1.7 =< P_1/P_2 =< 1.95. We are now poised to combine the best available astrometry data with the best available periodicity data.
Foster Gavin
Hurwitz L. A.
Malatesta K. H.
Mattei Janet A.
Mennessier Marie-Odile
No associations
LandOfFree
Classification of Red Variables does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Classification of Red Variables, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Classification of Red Variables will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1879089