We propose and preliminarily implement a data-mining based platform to assist experts to inspect the increasing amount of spectra with low signal to noise ratio (SNR) generated by large sky surveys. The platform includes three layers: data-mining layer, data-node layer and expert layer. It is similar to the GalaxyZoo project and VO-compatible. The preliminary experiment suggests that this platform can play an effective role in managing the spectra and assisting the experts to inspect a large number of spectra with low SNR.
@article{arxiv.1406.3766,
title = {Data-mining Based Expert Platform for the Spectral Inspection},
author = {Hai-Jun Tian and Yang Tu and Yan-Xia Zhang and Yong-Heng Zhao and Guo-Hong Lei and Bo-Liang He and Chen-Zhou Cui and Xue-Lei Chen},
journal= {arXiv preprint arXiv:1406.3766},
year = {2014}
}
Comments
techniques: photometric, methods: data analysis, catalogs