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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/138653
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- Title
- Searching for faint planetary nebulae using the digital sky survey
- Related
- Publications of the Astronomical Society of Australia, Vol. 27, Issue 2, (2010), p.156-165
- DOI
- 10.1071/AS09025
- Publisher
- CSIRO Publishing
- Date
- 2010
- Author/Creator
- Jacoby, George H
- Author/Creator
- Kronberger, Matthias
- Author/Creator
- Parker, Quentin A
- Author/Creator
- Patchick, Dana
- Author/Creator
- Teutsch, Philipp
- Author/Creator
- Saloranto, Jaakko
- Author/Creator
- Howell, Michael
- Author/Creator
- Crisp, Richard
- Author/Creator
- Riddle, Dave
- Author/Creator
- Acker, Agnès
- Author/Creator
- Frew, David J
- Description
- Recent Hα surveys such as SHS and IPHAS have improved the completeness of the Galactic planetary nebula (PN) census. We now know of ∼3000 PNe in the Galaxy, but this is far short of most estimates, typically ∼25 000 or more for the total population. The size of the Galactic PN population is required to derive an accurate estimate of the chemical enrichment rates of nitrogen, carbon, and helium. In addition, a high PN count (>20 000) is strong evidence that most main-sequence stars of mass 1-8M⊙ will go through a PN phase, while a low count (<10 000) argues that special conditions (e.g. close binary interactions) are required to form a PN. We describe a technique for finding hundreds more PNe using the existing data collections of the digital sky surveys, thereby improving the census of Galactic PNe.
- Description
- 10 page(s)
- Subject Keyword
- 020100 Astronomical and Space Sciences
- Subject Keyword
- binaries: general
- Subject Keyword
- Galaxy: stellar content
- Subject Keyword
- planetary nebulae: general
- Subject Keyword
- techniques: miscellaneous
- Resource Type
- journal article
- Organisation
- Macquarie University. Department of Physics and Astronomy
- Identifier
- http://hdl.handle.net/1959.14/138653
- Identifier
- mq:15210
- Identifier
- ISSN:1323-3580
- Identifier
- mq-rm-2010003092
- Language
- eng
- Reviewed
Macquarie University ResearchOnline
