Infrared colours for Mira-like long-period variables found in the Hipparcos Catalogue

Citation
P. Whitelock et al., Infrared colours for Mira-like long-period variables found in the Hipparcos Catalogue, M NOT R AST, 319(3), 2000, pp. 728-758
Citations number
50
Categorie Soggetti
Space Sciences
Journal title
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
ISSN journal
00358711 → ACNP
Volume
319
Issue
3
Year of publication
2000
Pages
728 - 758
Database
ISI
SICI code
0035-8711(200012)319:3<728:ICFMLV>2.0.ZU;2-H
Abstract
Near-infrared, JHKL, photometry is presented for 193 Mira and semi-regular variables that were observed by Hipparcos; periods, bolometric magnitudes a nd amplitudes are derived for 92 of them. Because of the way in which the H ipparcos targets were selected, this group of stars provides a useful data base of Miras with low mass-loss rates ((M) over dot less than or similar t o 10(-7) M. yr(-1)). Various period-colour relationships are discussed in d etail. The colour, particularly K - L, at a given period is found to depend on the pulsation amplitude of the star. A comparison with models suggests that this is a consequence of atmospheric extension, in the sense that larg e amplitude pulsators have very extended atmospheres and redder K - L and H - K but bluer J - H than their lower amplitude counterparts. The stars wit h very extended atmospheres also have higher values of K - [12] and hence h igher mass-loss rates. This finding provides further evidence for the causa l connection between pulsation and mass loss. with models suggest Two seque nces are identified in the Hp - K versus log P diagram (where Hp is the Hip parcos broad-band magnitude) at short periods (log P < 2.35). At a given pe riod these two groups have, on average, the same pulsation amplitude, but d ifferent JHKL colours and spectral types. The short-period stars in the blu er sequence have similar near-infrared colours to the Miras found in globul ar clusters. Long-term trends in the infrared light curves are discussed for stars that have sufficient data.