A hierarchical Bayesian framework that uses the empirical anti-correlation between AGN variability amplitude and luminosity to infer cosmological parameters from moderate-baseline light curves via importance reweighting.
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3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
The two-point correlation function of lensing deflection fields shows sensitivity to variations in SIDM subhalo core-collapse modeling at small scales.
Spins of low-mass AGN black holes decrease with mass, supporting mergers or chaotic accretion as growth mechanisms and suggesting an evolutionary sequence where spins first decrease then slowly increase.
citing papers explorer
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A hierarchical Bayesian framework for cosmology using Type 1 AGN variability
A hierarchical Bayesian framework that uses the empirical anti-correlation between AGN variability amplitude and luminosity to infer cosmological parameters from moderate-baseline light curves via importance reweighting.
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The Sensitivity of Substructure Lensing to SIDM Core-collapse Model Variation
The two-point correlation function of lensing deflection fields shows sensitivity to variations in SIDM subhalo core-collapse modeling at small scales.
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Estimation of black hole spins in low-mass AGNs and comparison with other types of AGNs
Spins of low-mass AGN black holes decrease with mass, supporting mergers or chaotic accretion as growth mechanisms and suggesting an evolutionary sequence where spins first decrease then slowly increase.