The Astrophysical Journal Supplement Series (Jan 2023)

CLASS Survey Description: Coronal-line Needles in the SDSS Haystack

  • Michael Reefe,
  • Remington O. Sexton,
  • Sara M. Doan,
  • Shobita Satyapal,
  • Nathan J. Secrest,
  • Jenna M. Cann

DOI
https://doi.org/10.3847/1538-4365/acb0d2
Journal volume & issue
Vol. 265, no. 1
p. 21

Abstract

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Coronal lines are a powerful, yet poorly understood, tool to identify and characterize active galactic nuclei. There have been few large-scale surveys of coronal lines in the general galaxy population in the literature so far. Using a novel preselection technique with a flux-to-rms ratio ${ \mathcal F }$ , followed by Markov Chain Monte Carlo fitting, we searched for the full suite of 20 coronal lines in the optical spectra of almost 1 million galaxies from the Sloan Digital Sky Survey Data Release 8. We present a catalog of the emission-line parameters for the resulting 258 galaxies with detections. The Coronal Line Activity Spectroscopic Survey includes line properties, host-galaxy properties, and selection criteria for all galaxies in which at least one line is detected. This comprehensive study reveals that a significant fraction of coronal-line activity is missed in past surveys based on a more limited set of coronal lines; ∼60% of our sample do not display the more widely surveyed [Fe x ] λ 6374. In addition, we discover a strong correlation between coronal-line and Wide-field Infrared Survey Explorer W2 luminosities, suggesting that the mid-infrared flux can be used to predict coronal-line fluxes. For each line we also provide a confidence level that the line is present, generated by a novel neural network, trained on fully simulated data. We find that after training the network to detect individual lines using 100,000 simulated spectra, we achieve an overall true-positive rate of 75.49% and a false-positive rate of only 3.96%.

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