Knowledge-based systems in astronomy

About this book

This book gives a synthesis of the state of the art in artificial intelligence in astronomy and astrophysics, presents its current applications and points out directions of future work. The individual chapters report on the application of artificial intelligence techniques for large astronomical surveys, for processing cosmic ray data, for facilitating data reduction using image processing systems, for telescope scheduling, for observatory ground support operations, for observation proposal preparation assistance, and for scientific applications such as stellar spectral and galaxy morphology classification. The new field of connectionism (neural networks) is also surveyed. The book is designed to be self-contained: a glossary of terms used in this area is provided and an index of terms, acronyms and proper names completes the book.

Themes & subjects

About the author

Fionn Murtagh

1954

Fionn Murtagh, BA, BAI, MSc(Dubl), PhD(Paris), Habil.(Strasbourg), is a member of the Royal Irish Academy. Following roles as Head of Department and Head of School in other universities, Fionn Murtagh is Professor of Data Science at the School of Computing and Engineering in the University of Huddersfield, West Yorkshire, England, and is Director of, to be established, the Institute of Mathematics and Data Science at the University of Huddersfield. Source: [Royal Irish Academy](https://www.ria.ie/fionn-d-murtagh)