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Autors principals: Tokayer, Yarone M., Koss, Michael J., Urry, C. Megan, Natarajan, Priyamvada, Mushotzky, Richard, Balokovic, Mislav, Bauer, Franz E., Boorman, Peter, Peca, Alessandro, Ricci, Claudio, Ricci, Federica, Stern, Daniel, Treister, Ezequiel, Trakhtenbrot, Benny
Format: Preprint
Publicat: 2025
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Accés en línia:https://arxiv.org/abs/2501.16708
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author Tokayer, Yarone M.
Koss, Michael J.
Urry, C. Megan
Natarajan, Priyamvada
Mushotzky, Richard
Balokovic, Mislav
Bauer, Franz E.
Boorman, Peter
Peca, Alessandro
Ricci, Claudio
Ricci, Federica
Stern, Daniel
Treister, Ezequiel
Trakhtenbrot, Benny
author_facet Tokayer, Yarone M.
Koss, Michael J.
Urry, C. Megan
Natarajan, Priyamvada
Mushotzky, Richard
Balokovic, Mislav
Bauer, Franz E.
Boorman, Peter
Peca, Alessandro
Ricci, Claudio
Ricci, Federica
Stern, Daniel
Treister, Ezequiel
Trakhtenbrot, Benny
contents 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 ($z\sim0.05$) AGN from the BAT AGN Spectroscopic Survey (BASS) with well-characterized ($\gtrsim$1000 cts) broadband X-ray spectra (0.5-195 keV) to simulate the CCLS absorption distribution. We utilize the BASS low-redshift analogs with similar luminosities to the CCLS ($L_\mathrm{2-10\ keV}^\mathrm{int}\sim10^{42-45}\ \mathrm{erg}\ \mathrm{s}^{-1}$), which are much less affected by obscuration and low-count statistics, as the seed for our simulations, and follow the spectral fitting of the CCLS. Our simulations reveal that Chandra would fail to detect the majority (53.3%; 563/1056) of obscured ($N_\mathrm{H}>10^{22}\ \mathrm{cm}^{-2}$) simulated BASS AGN given the observed redshift and luminosity distribution of the CCLS. Even for detected sources with sufficient counts ($\geq30$) for spectral modeling, the level of obscuration is significantly overestimated. This bias is most extreme for objects whose best fit indicates a high-column density AGN ($N_\mathrm{H}\geq10^{24}\ \mathrm{cm}^{-2}$), since the majority (66.7%; 18/27) of these are actually unobscured sources ($N_\mathrm{H}<10^{22}\ \mathrm{cm}^{-2}$). This implies that previous studies may have significantly overestimated the increase in the obscured fraction with redshift and the fraction of luminous obscured AGN. Our findings highlight the importance of directly considering obscuration biases and forward modeling in X-ray surveys, as well as the need for higher-sensitivity X-ray missions such as the Advanced X-ray Imaging Satellite (AXIS), and the importance of multi-wavelength indicators to estimate obscuration in distant supermassive black holes.
format Preprint
id arxiv_https___arxiv_org_abs_2501_16708
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle BASS XLV: Quantifying AGN Selection Effects in the Chandra COSMOS-Legacy Survey with BASS
Tokayer, Yarone M.
Koss, Michael J.
Urry, C. Megan
Natarajan, Priyamvada
Mushotzky, Richard
Balokovic, Mislav
Bauer, Franz E.
Boorman, Peter
Peca, Alessandro
Ricci, Claudio
Ricci, Federica
Stern, Daniel
Treister, Ezequiel
Trakhtenbrot, Benny
Astrophysics of Galaxies
Deep extragalactic X-ray surveys, such as the Chandra COSMOS-Legacy field (CCLS), are prone to be biased against active galactic nuclei (AGN) with high column densities due to their lower count rates at a given luminosity. To quantify this selection effect, we forward model nearby ($z\sim0.05$) AGN from the BAT AGN Spectroscopic Survey (BASS) with well-characterized ($\gtrsim$1000 cts) broadband X-ray spectra (0.5-195 keV) to simulate the CCLS absorption distribution. We utilize the BASS low-redshift analogs with similar luminosities to the CCLS ($L_\mathrm{2-10\ keV}^\mathrm{int}\sim10^{42-45}\ \mathrm{erg}\ \mathrm{s}^{-1}$), which are much less affected by obscuration and low-count statistics, as the seed for our simulations, and follow the spectral fitting of the CCLS. Our simulations reveal that Chandra would fail to detect the majority (53.3%; 563/1056) of obscured ($N_\mathrm{H}>10^{22}\ \mathrm{cm}^{-2}$) simulated BASS AGN given the observed redshift and luminosity distribution of the CCLS. Even for detected sources with sufficient counts ($\geq30$) for spectral modeling, the level of obscuration is significantly overestimated. This bias is most extreme for objects whose best fit indicates a high-column density AGN ($N_\mathrm{H}\geq10^{24}\ \mathrm{cm}^{-2}$), since the majority (66.7%; 18/27) of these are actually unobscured sources ($N_\mathrm{H}<10^{22}\ \mathrm{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 multi-wavelength indicators to estimate obscuration in distant supermassive black holes.
title BASS XLV: Quantifying AGN Selection Effects in the Chandra COSMOS-Legacy Survey with BASS
topic Astrophysics of Galaxies
url https://arxiv.org/abs/2501.16708