Disclosing the Radio Loudness Distribution Dichotomy in Quasars: An Unbiased Monte Carlo Approach Applied to the SDSS-FIRST Quasar Sample
Mislav Balokovic, Vernesa Smolcic, Zeljko Ivezic, Gianni Zamorani, Eva, Schinnerer, Brandon C. Kelly

TL;DR
This study uses a Monte Carlo method to analyze the radio loudness distribution of quasars, providing evidence for a dual-population model and highlighting the influence of survey limitations on previous bimodality claims.
Contribution
It introduces an unbiased Monte Carlo approach to model quasar radio emission, clarifying the existence of radio-loud and radio-quiet populations and addressing survey biases.
Findings
Approximately 12% of quasars are radio-loud.
The bimodality in radio loudness is not strongly supported due to survey incompleteness.
Radio-loud quasars are rarer and exhibit a smaller range at high redshift.
Abstract
We investigate the dichotomy in the radio loudness distribution of quasars by modelling their radio emission and various selection effects using a Monte Carlo approach. The existence of two physically distinct quasar populations, the radio-loud and radio-quiet quasars, is controversial and over the last decade a bimodal distribution of radio loudness of quasars has been both affirmed and disputed. We model the quasar radio luminosity distribution with simple unimodal and bimodal distribution functions. The resulting simulated samples are compared to a fiducial sample of 8,300 quasars drawn from the SDSS DR7 Quasar Catalog and combined with radio observations from the FIRST survey. Our results indicate that the SDSS-FIRST sample is best described by a radio loudness distribution which consists of two components, with 12+/-1 % of sources in the radio-loud component. On the other hand, the…
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