Astronomy and Astrophysics – Astrophysics
Scientific paper
Sep 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994a%26a...289..225s&link_type=abstract
Astronomy and Astrophysics (ISSN 0004-6361), vol. 289, no. 1, p. 225-236
Astronomy and Astrophysics
Astrophysics
13
Asymptotic Giant Branch Stars, Galactic Bulge, Milky Way Galaxy, Planetary Nebulae, Star Distribution, Stellar Luminosity, Stellar Mass, Stellar Temperature, Data Correlation, Monte Carlo Method, Populations, Statistical Analysis, Stellar Models
Scientific paper
We have analyzed the population of Galactic bulge planetary nebulae (GBPN) by means of Monte-Carlo methods. Statistical tests were used to compare observed histograms with simulated distributions of radio fluxes, angular diameters, surface brightnesses and nebular ionized masses. We have shown how selection effects operate in observed diagrams and alter our understanding of the GPBN population: for example, the observed central star mass distribution is biased upwards with respect to the intrinsic one. The present observational constraints allow a large number of solutions, and it is essential to measure the nebular expansion velocities for a better understanding of the GPBN population. Still, all the accepted solutions correspond to a very narrow central star mass distribution, centered on a value not larger than 0.6 solar mass. Incidentally, we have found that, in the synthetic populations which are compatible with the observations, there is a large proportion of density bounded nebulae. This is an important result for studies of the HR diagram for central stars.
Stasinska Grazina
Tylenda Romuald
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