Edge-on Low-surface-brightness Galaxy Candidates Detected from SDSS Images Using YOLO

Abstract

Low-surface-brightness galaxies (LSBGs), fainter members of the galaxy population, are thought to be numerous. However, due to their low surface brightness, the search for a wide-area sample of LSBGs is difficult, which in turn limits our ability to fully understand the formation and evolution of galaxies as well as galaxy relationships. Edge-on LSBGs, due to their unique orientation, offer an excellent opportunity to study galaxy structure and galaxy components. In this work, we utilize the You Only Look Once object detection algorithm to construct an edge-on LSBG detection model by training on 281 edge-on LSBGs in Sloan Digital Sky Survey (SDSS) $gri$-band composite images. This model achieved a recall of 94.64% and a purity of 95.38% on the test set. We searched across 938,046 $gri$-band images from SDSS Data Release 16 and found 52,293 candidate LSBGs. To enhance the purity of the candidate LSBGs and reduce contamination, we employed the Deep Support Vector Data Description algorithm to identify anomalies within the candidate samples. Ultimately, we compiled a catalog containing 40,759 edge-on LSBG candidates. This sample has similar characteristics to the training data set, mainly composed of blue edge-on LSBG candidates. The catalog is available online at https://github.com/worldoutside/Edge-on_LSBG.

12 pages, 11 figures, accepted to be published on APJS

References in corpus (12)

• The NumPy array: a structure for efficient numerical computation
• The Catalog of Edge-on Disk Galaxies from SDSS. Part I: the catalog and the Structural Parameters of Stellar Disks
• Low Surface Brightness Galaxies selected from the 40% sky area of the ALFALFA HI survey.I.Sample and statistical properties
• HI Imaging Observations of Superthin Galaxies. II. IC2233 and the Blue Compact Dwarf NGC2537
• A deep wide survey of faint low surface brightness galaxies in the direction of the Coma cluster of galaxies
• Very Thin Disc Galaxies in The SDSS Catalog of Edge-on Galaxies
• Automatic detection of low surface brightness galaxies from SDSS images
• Long-slit Spectroscopy of Edge-on Low Surface Brightness Galaxies
• A Sample of Edge-on HI-rich low-surface-brightness Galaxy Candidates in the 40% ALFALFA Catalog
• Linking star formation thresholds and truncations in the thin and thick disks of the low-mass galaxy UGC 7321
• Are superthin galaxies low surface brightness galaxies seen edge-on? The star formation probe
• SDSS J121811.0+465501.2: a new Low Surface Brightness Galaxy with low metallicity

Cited by in corpus (2)

• YOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1
• DES to HSC: Detecting low surface brightness galaxies in the Abell 194 cluster using transfer learning