Assessing luminosity correlations via cluster analysis: Evidence for dual tracks in the radio/X-ray domain of black hole X-ray binaries
Elena Gallo, Brendan Miller, Rob Fender

TL;DR
This study uses clustering techniques to analyze radio/X-ray luminosity correlations in black hole X-ray binaries, revealing two distinct luminosity tracks that challenge previous single-track models and impact parameter estimations.
Contribution
The paper introduces a clustering-based approach to identify multiple luminosity tracks in black hole X-ray binaries, improving understanding of their emission behaviors.
Findings
Identification of two distinct luminosity tracks with different slopes.
The lower track slope significantly differs from the upper track and previous models.
Results are robust against sample selection, distance uncertainties, and upper limit treatments.
Abstract
[abridged] The radio:X-ray correlation for hard and quiescent state black hole X-ray binaries is critically investigated in this paper. New observations of known sources, along with newly discovered ones, have resulted in an increasingly large number of outliers lying well outside the scatter about the quoted best-fit relation. Here, we employ and compare state of the art data clustering techniques in order to identify and characterize different data groupings within the radio:X-ray luminosity plane for 18 hard and quiescent state black hole X-ray binaries with nearly simultaneous multi-wavelength coverage. Linear regression is then carried out on the clustered data to infer the parameters of a relationship of the form {ell}_{r}=alpha+beta {ell}_x through a Bayesian approach (where {ell} denotes log lum). We conclude that the two cluster model, with independent linear fits, is a…
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