Systematic search for extremely metal poor galaxies in the Sloan Digital Sky Survey
A. B. Morales-Luis (1, 2), J. Sanchez Almeida (1, 2), J. A. L., Aguerri (1, 2), and C. Munoz-Tunon (1, 2) ((1) Instituto de Astrofisica, de Canarias, Tenerife, Spain, (2) Departamento de Astrofisica, Universidad de, La Laguna, Tenerife, Spain)

TL;DR
This study systematically searches for extremely metal poor galaxies in SDSS DR7 using an automated spectral classification, identifying 32 candidates including 11 new ones, and estimates their local universe density.
Contribution
It introduces an automated k-means classification method to efficiently identify XMP galaxies in large spectroscopic datasets, discovering new candidates and estimating their cosmic abundance.
Findings
Identified 32 XMP galaxy candidates, 11 of which are new.
Estimated the local universe density of XMP galaxies as approximately 1.32 x 10^-4 Mpc^-3.
Most candidates are blue compact dwarf galaxies with distinctive morphologies.
Abstract
We carry out a systematic search for extremely metal poor (XMP) galaxies in the spectroscopic sample of Sloan Digital Sky Survey (SDSS) data release 7 (DR7). The XMP candidates are found by classifying all the galaxies according to the form of their spectra in a region 80AA wide around Halpha. Due to the data size, the method requires an automatic classification algorithm. We use k-means. Our systematic search renders 32 galaxies having negligible [NII] lines, as expected in XMP galaxy spectra. Twenty one of them have been previously identified as XMP galaxies in the literature -- the remaining eleven are new. This was established after a thorough bibliographic search that yielded only some 130 galaxies known to have an oxygen metallicity ten times smaller than the Sun (explicitly, with 12+log(O/H) <= 7.65). XMP galaxies are rare; they represent 0.01% of the galaxies with emission lines…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
