Redshifted broad absorption line quasars found via machine-learned spectral similarity. Issue 3 (6th August 2018)

• Record Type: Journal Article
• Authors: Reis, Itamar; Poznanski, Dovi; Hall, Patrick B
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 480:Issue 3(2018)
• Page Start: 3889
• Page End: 3897
• Publication Date: 2018-08-06
• Subjects: methods: data analysis -- techniques: spectroscopic -- quasars: absorption lines -- quasars: general; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/sty2127
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: We report the discovery of 31 new redshifted broad absorption line quasars (RSBALs) from the Sloan Digital Sky Survey (SDSS). The number of previously known such objects is 19. The identification of the new objects was enabled by calculating similarities between quasar spectra in the SDSS. Using these similarities we look for the objects that are similar to the ones in the original sample, visually inspecting only hundreds, out of over 160 000 spectra considered. We compare the performance of several similarity measures, as well as different methods of employing them, in finding the RSBALs. We find that decision tree based similarities recover the most objects, and that an ensemble of methods performs better than any single one. As the similarities are not tailored for the specific problem of finding RSBALs, they could be used for searching for other types of quasars. The similarities and the code for their calculation are available online.