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27 June 2006 Software kits for measuring photometric redshifts
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Wang, Yanxia Zhang, Chenzhou Cui, and Yongheng Zhao "Software kits for measuring photometric redshifts", Proc. SPIE 6274, Advanced Software and Control for Astronomy, 627413 (27 June 2006); https://doi.org/10.1117/12.670136
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