Neural Nets and Star/Galaxy Separation in Wide Field Astronomical Images

Details Neural Nets and Star/Galaxy Separation in Wide Field Astronomical Images Neural Nets and Star/Galaxy Separation in Wide Field Astronomical Images

1999-06-07

arxiv.org/abs/astro-ph/9906099v1

Astronomy and Astrophysics

Astrophysics

6 pages, to appear in the proceedings of IJCNN 99, IEEE Press, 1999

Scientific paper

One of the most relevant problems in the extraction of scientifically useful information from wide field astronomical images (both photographic plates and CCD frames) is the recognition of the objects against a noisy background and their classification in unresolved (star-like) and resolved (galaxies) sources. In this paper we present a neural network based method capable to perform both tasks and discuss in detail the performance of object detection in a representative celestial field. The performance of our method is compared to that of other methodologies often used within the astronomical community.

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