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September 16, 2025The Astrophysical Journal4 citationsOpen Access

Quantifying the Active Galactic Nucleus Fraction in Cosmic Voids via Mid-infrared Variability

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AAAnish S. AradheyACAnca ConstantinMVMichael S. Vogeley

Key Points

  • A larger mid-infrared variability−AGN fraction is found in void galaxies compared to wall galaxies.
  • About 12 years of multiepoch data from AllWISE and NEOWISE reveals significant AGN activity in cosmic voids.
  • Mid-infrared variability can identify a unique population of AGNs missed by traditional selection methods.
  • The findings suggest that underdense structures in the Universe harbor more prolific AGN activity.

Abstract

Abstract Observations and theoretical simulations suggest that the large-scale environment plays a significant role in how galaxies form and evolve and, in particular, whether and when galaxies host an actively accreting supermassive black hole in their center (i.e., an active galactic nucleus; AGN). One signature of AGN activity is luminosity variability, which appears in the mid-IR when circumnuclear dust reprocesses UV and optical photons from the AGN accretion disk. We present here a suite of constraints on the fraction of AGN activity in the most underdense regions of the Universe (cosmic voids) relative to the rest of the Universe (cosmic walls) by using ∼12 yr of combined multiepoch data from AllWISE and NEOWISE to quantify mid-IR variability. We find clear evidence for a larger mid-IR variability−AGN fraction among high- and moderate-luminosity void galaxies compared to their wall counterparts. We also show that mid-IR variability identifies a rather large and unique population of AGNs, the majority of which have eluded detection using more traditional AGN selection methods such as single-epoch mid-IR color selection. The fraction of these newly recovered AGNs is larger among galaxies in voids, suggesting once again more prolific AGN activity in the most underdense large-scale structures of the Universe.

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Cite This Study

Aradhey et al. (2025) studied this question.

synapsesocial.com/papers/68d4508231b076d99fa58374https://doi.org/10.3847/1538-4357/adeca1
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