Published April 1, 2025 | Published
Journal Article Open

BASS. XLV. Quantifying Active Galactic Nuclei Selection Effects in the Chandra COSMOS-legacy Survey with BASS

  • 1. ROR icon Yale University
  • 2. ROR icon Eureka Scientific
  • 3. ROR icon University of Maryland, College Park
  • 4. ROR icon Pontificia Universidad Católica de Chile
  • 5. ROR icon Millennium Institute of Astrophysics
  • 6. ROR icon Space Science Institute
  • 7. ROR icon California Institute of Technology
  • 8. ROR icon University of Miami
  • 9. ROR icon Diego Portales University
  • 10. ROR icon Peking University
  • 11. ROR icon University of Bologna
  • 12. ROR icon Jet Propulsion Lab
  • 13. ROR icon Tel Aviv University
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Abstract

Deep extragalactic X-ray surveys, such as the Chandra COSMOS-Legacy field (CCLS), are prone to be biased against active galactic nuclei (AGN) with high column densities due to their lower count rates at a given luminosity. To quantify this selection effect, we forward model nearby (z ∼ 0.05) AGN from the BAT AGN Spectroscopic Survey (BASS) with well-characterized (≳1000 cts) broadband X-ray spectra (0.5–195 keV) to simulate the CCLS absorption distribution. We utilize the BASS low-redshift analogs with similar luminosities to the CCLS (L^(int)₂₋₁₀ keV ∼ 1042−45 erg s), which are much less affected by obscuration and low-count statistics, as the seed for our simulations and follow the spectral fitting of the CCLS. Our simulations reveal that Chandra would fail to detect the majority (53.3%; 563/1056) of obscured (NH ≥ 1022 cm−2) simulated BASS AGN given the observed redshift and luminosity distribution of the CCLS. Even for detected sources with sufficient counts (≥30) for spectral modeling, the level of obscuration is significantly overestimated. This bias is most extreme for objects whose best fit indicates a high-column density AGN (NH ≥ 1024 cm−2), since the majority (66.7%; 18/27) of these are actually unobscured sources (NH < 1022 cm−2). This implies that previous studies may have significantly overestimated the increase in the obscured fraction with redshift and the fraction of luminous obscured AGN. Our findings highlight the importance of directly considering obscuration biases and forward modeling in X-ray surveys, as well as the need for higher-sensitivity X-ray missions such as the Advanced X-ray Imaging Satellite (AXIS), and the importance of multiwavelength indicators to estimate obscuration in distant supermassive black holes.

Copyright and License

© 2025. The Author(s). Published by the American Astronomical Society.

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Acknowledgement

The authors are grateful to: Giorgio Lanzuisi and Stefano Marchesi for their assistance in understanding the CCLS study and for sharing the CCLS spectra; Laura Blecha, Turgay Caglar, Lea Marcotulli, Edmund Hodges-Kluck, and Meredith Powell for their valuable insights and feedback; and the anonymous referee for the constructive feedback. We acknowledge support from SAO Chandra archival grant (AR9-20015X) and NASA through ADAP award 80NSSC22K1126 and 80NSSC19K0749 (M.K.); the Israel Science Foundation through grant No. 1849/19 (B.T.); the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program through grant agreement No. 950533 (B.T.); FONDECYT Regular 1230345 (C.R.), 1241005 (F.E.B., E.T.) and 1200495 (F.E.B, E.T.); ANID grants CATA-Basal FB210003 (C.R., F.E.B., E.T.); Millennium Science Initiative Program—ICN12_009 (F.E.B.); Fondecyt Iniciacion grant 11190831 (C.R.); YCAA Prize Postdoctoral Fellowship and NASA grant 80NSSC22K0793 (M.B.); the China-Chile joint research fund (C.R.). The work of D.S. was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA.

Software References

Astropy (Astropy Collaboration et al. 20132018), XSPEC (v12.11.1; K. A. Arnaud 1996).

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Additional details

Created:
April 1, 2025
Modified:
April 1, 2025