Search Results for author:
Found 1 papers, 0 papers with code
Active deep learning method for the discovery of objects of interest in large spectroscopic surveys
Using the technology of the Virtual Observatory to visualise the results, we discovered 1013 spectra of 948 new candidates of emission-line objects in addition to 664 spectra of 549 objects that are listed in SIMBAD and 2644 spectra of 2291 objects identified in an earlier paper of a Chinese group led by Wen Hou.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
