Star formation systematics from colour images

Noah Brosch

doi:10.1007/BF00644916

Star formation systematics from colour images

Noah Brosch^*

^*Corresponding author for this work

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We examined the radial distribution of 1227 blue knots in the rectified planes of 32 galaxies and showed that the method is equivalent to mapping the distribution of HIi regions from narrow-band imaging in Hα. The blue knots show less detail in their distribution, as compared with H ii regions or with a parameter measuring the local efficiency of star formation. This is interpreted as showing the diffusion of OB stars out of the regions where they formed.

Original language	English
Pages (from-to)	289-298
Number of pages	10
Journal	Astrophysics and Space Science
Volume	188
Issue number	2
DOIs	https://doi.org/10.1007/BF00644916
State	Published - Feb 1992

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10.1007/BF00644916

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title = "Star formation systematics from colour images",

abstract = "We examined the radial distribution of 1227 blue knots in the rectified planes of 32 galaxies and showed that the method is equivalent to mapping the distribution of HIi regions from narrow-band imaging in Hα. The blue knots show less detail in their distribution, as compared with H ii regions or with a parameter measuring the local efficiency of star formation. This is interpreted as showing the diffusion of OB stars out of the regions where they formed.",

author = "Noah Brosch",

year = "1992",

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AB - We examined the radial distribution of 1227 blue knots in the rectified planes of 32 galaxies and showed that the method is equivalent to mapping the distribution of HIi regions from narrow-band imaging in Hα. The blue knots show less detail in their distribution, as compared with H ii regions or with a parameter measuring the local efficiency of star formation. This is interpreted as showing the diffusion of OB stars out of the regions where they formed.

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Star formation systematics from colour images

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