Discovery of the Polar Ring Galaxies with deep learning

Abstract

The aim of our research is to create a catalog of strong and good candidates for PRGs using existing catalogs of PRGs, develop an image-based approach with machine learning methods for the search and discovery of PRGs in a big sky survey, and explore the capability of the CIGALE software for determining their multiwavelength properties. For the first time, we applied a deep learning method to the search for PRGs. We visually inspected galaxies from existing catalogs of PRGs to create a training sample based on high-quality SDSS images. Since the resulting training sample was extremely small (87 strong and good PRGs), we applied augmentation, image segmentation, and ensemble learning techniques. However, most effective method was transfer learning with its ability to enlarge the training sample by synthetic images generated by GALFIT. To examine deep learning approach for finding new PRGs we used the SDSS catalog of galaxies at z < 0.1. The method with synthetic images showed that even with overtraining we were able to find galaxies with a ring pattern. Our deep learning approach has resulted in the discovery of three PRGs (SDSS J140644.42+471602.0; SDSS J133650.48+492745.3; SDSS J095717.30+364953.5). Also, we visually inspected the Catalog of the SDSS Ring galaxies at z < 0.1 and discovered four PRGs among ~2,200 ring galaxies (SDSS J095851.32+320422.9; SDSS J104211.05+234448.2; SDSS J162212.63+272032.2; SDSS J104600.10+090627.2). One of the discovered galaxies with transfer learning, SDSS J140644.42+471602.0, was studied with CIGALE software to determine its spectral energy distribution in IR-UV bands. The current SFR is 71 M_sun per year, although the lack of FUV data limits this estimate. The total stellar mass is 8.34x10^{10} M_sun. The predominance of an old stellar population (two-thirds of the total mass) suggests that this PRG is undergoing interaction process.

11 pages, 11 figures. The article is submitted to Astron. & Astrophys

References in corpus (44)

• Stellar population synthesis at the resolution of 2003
• The Dust Content and Opacity of Actively Star-Forming Galaxies
• The Host Galaxies of AGN
• Binary companions of evolved stars in APOGEE DR14: Search method and catalog of ~5,000 companions
• Detailed Structural Decomposition of Galaxy Images
• Theoretical Modeling of Starburst Galaxies
• CIGALE: a python Code Investigating GALaxy Emission
• The merger that led to the formation of the Milky Way's inner stellar halo and thick disk
• Observational evidence for AGN feedback in early-type galaxies
• Galaxy Zoo 1 : Data Release of Morphological Classifications for nearly 900,000 galaxies
• Andromeda's Dust
• Evolution of the cosmic web
• Rest-frame ultraviolet-to-optical spectral characteristics of extremely metal-poor and metal-free galaxies
• On the frequency, intensity and duration of starburst episodes triggered by galaxy interactions and mergers
• One Ring to Encompass them All: A giant stellar structure that surrounds the Galaxy
• Formation of polar ring galaxies
• Reconstructing the Last Major Merger of the Milky Way with the H3 Survey
• The relation between star formation, morphology and local density in high redshift clusters and groups
• Formation of a polar-ring galaxy in a galaxy merger
• The DAWES review 10: The impact of deep learning for the analysis of galaxy surveys
• The origin of polar ring galaxies: evidence for galaxy formation by cold accretion
• A new catalogue of polar-ring galaxies selected from the SDSS
• The Formation of Polar Disk Galaxies
• Galaxy Morphology Network: A Convolutional Neural Network Used to Study Morphology and Quenching in $\sim 100,000$ SDSS and $\sim 20,000$ CANDELS Galaxies
• Polar disk galaxy found in wall between voids
• Machine learning technique for morphological classification of galaxies from the SDSS. I. Photometry-based approach
• What Does the Milky Way Look Like?
• The Void Galaxy Survey: Photometry, structure and identity of void galaxies
• High-order 3D Voronoi tessellation for identifying Isolated galaxies, Pairs and Triplets
• Automatic Classification of Galaxy Morphology: a rotationally invariant supervised machine learning method based on the UML-dataset
• Polar-ring galaxies: the SDSS view on the symbiotic galaxies
• The Halo Shape and Evolution of Polar Disc Galaxies
• WALLABY Pilot Survey: the Potential Polar Ring Galaxies NGC~4632 and NGC~6156
• A new period of activity in the core of NGC660
• Polar Ring Galaxies in the Galaxy Zoo
• Hosts and triggers of AGNs in the Local Universe
• New candidates to polar-ring galaxies from the Sloan Digital Sky Survey
• The Voronoi tessellation method in astronomy
• Active galactic nuclei among polar-ring galaxies
• Compact stellar systems in the polar ring galaxies NGC 4650A and NGC 3808B: Clues to polar disk formation
• Tidal features and disc thicknesses of edge-on galaxies in the SDSS Stripe 82
• Analysis of Ring Galaxies Detected Using Deep Learning with Real and Simulated Data
• DES J024008.08-551047.5:A new member of the polar ring galaxy family
• Connecting the dots: Tracing the evolutionary pathway of Polar Ring Galaxies in the cases of NGC 3718, NGC 2685, and NGC 4262

Cited by in corpus (4)

• COUGS-DESI: A Catalog of Unusual Galaxies with Polar Structures in the DESI Legacy Imaging Surveys
• NGC 3521 as the Milky Way near twin: spectral energy distribution from UV to radio decameter ranges
• Visual inspection of potential exocomet transits identified through machine learning and statistical methods
• Milky Way galaxy-analogs and isolated galaxies with bars: environmental density in the Local Volume