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Proceedings Paper

Software kits for measuring photometric redshifts
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Paper Abstract

The advantages of being able to accurately measure redshift with photometric data are of great importance for studying cosmology, large scale structure of the Universe, determination of fundamental astrophysical quantities and so on, because photometric redshifts may provide approximate distances to the enormous set of objects. At present various algorithms for photometric redshifts have been investigated. This is induced us to develop a software platform that integrates different algorithms of estimating photometric redshifts, such as color-magnitude-redshift (CMR), Support Vector Machines (SVMs), HyperZ and Artificial Neural Networks (ANNs). The requirements of the software platform, architectural issues are addressed and its framework design implemented are discussed. It provides a user-friendly interface, by which users can choose the method they like, upload their own data, and then get their needed result by clicking a mouse. This framework is flexible and extensible enough to measure photometric redshifts.

Paper Details

Date Published: 27 June 2006
PDF: 11 pages
Proc. SPIE 6274, Advanced Software and Control for Astronomy, 627413 (27 June 2006); doi: 10.1117/12.670136
Show Author Affiliations
Dan Wang, National Astronomical Observatories (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Yanxia Zhang, National Astronomical Observatories (China)
Chenzhou Cui, National Astronomical Observatories (China)
Yongheng Zhao, National Astronomical Observatories (China)

Published in SPIE Proceedings Vol. 6274:
Advanced Software and Control for Astronomy
Hilton Lewis; Alan Bridger, Editor(s)

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