Machine learning finds a surprising early galaxy

Machine learning finds a surprising early galaxy
HSC J1631+4426 broke the record for the lowest oxygen abundance. Credit: NAOJ/Kojima et al.

New results achieved by combining big data captured by the Subaru Telescope and the power of machine learning have discovered a galaxy with an extremely low 1.6% oxygen abundance, breaking the previous record of the lowest abundance. The measured oxygen abundance suggests that most of the stars in this galaxy formed very recently.

To understand , astronomers need to study galaxies in various stages of formation and evolution. Most of the galaxies in the modern universe are mature galaxies, but standard cosmology predicts that there may still be a few galaxies in the early formation stage in the modern universe. Because these early-stage galaxies are rare, an international research team searched for them in wide-field imaging data taken with the Subaru Telescope. "To find the very faint, rare galaxies, deep, wide-field data taken with the Subaru Telescope was indispensable," says Dr. Takashi Kojima, the leader of the team.

However, it is difficult to find galaxies in the early stage of formation because the wide-field data includes as many as 40 million objects. So the research team developed a new machine learning method to find such galaxies from the vast amount of data. They had a computer repeatedly learn the galaxy colors expected from theoretical models, and then let the computer select only galaxies in the early stage of galaxy formation.

Close up to HSC J1631+4426, created using hscmap. Credit: NAOJ/HSC-SSP

The research team then performed follow-up observations to determine the elemental abundance ratios of 4 of the 27 candidates selected by the computer. They have found that one galaxy (HSC J1631+4426), located 430 million light-years away in the constellation Hercules, has an oxygen abundance only 1.6 percent of that of the Sun. This is the lowest value ever reported for a galaxy. The measured oxygen abundance suggests that most of the stars in this galaxy formed very recently. In other words, this galaxy is in an early stage of evolution.

"What is surprising is that the stellar mass of the HSC J1631+4426 galaxy is very small, 0.8 million . This stellar mass is only about 1/100,000 of our Milky Way galaxy, and comparable to the mass of a star cluster in our Milky Way," says Prof. Ouchi of the National Astronomical Observatory of Japan and the University of Tokyo. This small mass also supports the primordial nature of the HSC J1631+4426 galaxy.

The research team thinks that there are two interesting indications from this discovery. First, this is the strongest evidence of a galaxy at such an early stage of evolution. In the framework of standard cosmology, new galaxies are thought to be born in the present universe. The discovery of the HSC J1631+4426 galaxy backs up the picture of the standard cosmology. Second, we may be witnessing a newborn galaxy at the latest epoch of the cosmic history. Standard cosmology suggests that the matter density of the universe rapidly drops as universal expansion accelerates. In the future universe with rapid expansion, matter will not assemble via gravity, and new galaxies won't develop. The HSC J1631+4426 galaxy may represent the last generation of that develop in cosmic history.

This research will be published in the Astrophysical Journal.

More information: Kojima et al., Extremely Metal-Poor Representatives Explored by the Subaru Survey (EMPRESS). I. A Successful Machine Learning Selection of Metal-Poor Galaxies and the Discovery of a Galaxy with M*<10^6 M_sun and 0.016 Z_sun. arXiv:1910.08559 [astro-ph.GA].

Journal information: Astrophysical Journal

Provided by National Institutes of Natural Sciences

Citation: Machine learning finds a surprising early galaxy (2020, August 3) retrieved 10 December 2023 from
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