Using fuzzy logic for automatic analysis of astronomical pipelines
Document Type
Conference Proceeding
Publication Date
1-1-2005
Department
Department of Physics
Abstract
Fundamental astronomical questions on the composition of the universe, the abundance of Earth-like planets, and the cause of the brightest explosions in the universe are being attacked by robotic telescopes costing billions of dollars and returning vast pipelines of data. The success of these programs depends on the accuracy of automated real time processing of the astronomical images. In this paper the needs of modern astronomical pipelines are discussed in the light of fuzzy-logic based decision-making. Several specific fuzzy-logic algorithms have been develop for the first time for astronomical purposes, and tested with excellent results on data from the existing Night Sky Live sky survey.
Publication Title
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
ISBN
978-3-540-28331-7
Recommended Citation
Shamir, L.,
&
Nemiroff, R. J.
(2005).
Using fuzzy logic for automatic analysis of astronomical pipelines.
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science),
3614(PART II), 634-637.
http://doi.org/10.1007/11540007_78
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/3999