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

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 ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msubsup> <mml:mrow> <mml:mi>L</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> <mml:mo>−</mml:mo> <mml:mn>10</mml:mn> <mml:mspace width="0.25em"/> <mml:mi mathvariant="normal">keV</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">int</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> ∼ 10 42−45 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 ( N H ≥ 10 22 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 ( N H ≥ 10 24 cm −2 ), since the majority (66.7%; 18/27) of these are actually unobscured sources ( N H &lt; 10 22 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.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-03-25
DOI
https://doi.org/10.3847/1538-4357/adb8c9
Citations
1
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ezequiel Treister, Yarone M. Tokayer, Priyamvada Natarajan, Cláudio Ricci et al.
1 citations
The Astrophysical Journal
Astrophysical Phenomena and Observations
1.15
article

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

Ezequiel Treister, Yarone M. Tokayer, Priyamvada Natarajan, Cláudio Ricci, Michael Koss, F. E. Bauer, Daniel Stern, Benny Trakhtenbrot, Peter Boorman, R. F. Mushotzky, Alessandro Peca, C. M. Urry, F. Ricci, Mislav Baloković
article en
1 citations

Abstract

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 ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msubsup> <mml:mrow> <mml:mi>L</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> <mml:mo>−</mml:mo> <mml:mn>10</mml:mn> <mml:mspace width="0.25em"/> <mml:mi mathvariant="normal">keV</mml:mi> </mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">int</mml:mi> </mml:mrow> </mml:msubsup> </mml:math> ∼ 10 42−45 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 ( N H ≥ 10 22 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 ( N H ≥ 10 24 cm −2 ), since the majority (66.7%; 18/27) of these are actually unobscured sources ( N H &lt; 10 22 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.

The Astrophysical JournalVol. 982(2)
National Aeronautics and Space Administration, Israel Science Foundation, Agencia Nacional de Investigación y Desarrollo
Openalex Percentile: Top 20%
Astrophysical Phenomena and Observations
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.