Towards precision distances and 3D dust maps using broadband Period--Magnitude relations of RR Lyrae stars
Christopher R. Klein, Joshua S. Bloom

TL;DR
This paper develops a Bayesian method to accurately determine the period-magnitude relations of RR Lyrae stars across multiple wavelengths, accounting for dust extinction, and achieves sub-1% distance measurement precision.
Contribution
The study introduces a novel Bayesian framework that simultaneously infers RR Lyrae distances, dust extinction, and period-magnitude relations with high precision, improving upon previous methods.
Findings
Achieved median fractional distance error of 0.66%.
Distances to RR Lyrae stars are determined with uncertainties 13 times smaller than HST parallax.
Intrinsic scatter exceeds photometric errors in most bands, except WISE W1 and W2.
Abstract
We determine the period-magnitude relations of RR Lyrae stars in 13 photometric bandpasses from 0.4 to 12 {\mu}m using timeseries observations of 134 stars. The Bayesian formalism, extended from our previous work to include the effects of line-of-sight dust extinction, allows for the simultaneous inference of the posterior distribution of the mean absolute magnitude, slope of the period-magnitude power-law, and intrinsic scatter about a perfect power-law for each bandpass. In addition, the distance modulus and line-of-sight dust extinction to each RR Lyrae star in the calibration sample is determined, yielding a sample median fractional distance error of 0.66%. The intrinsic scatter in all bands appears to be larger than the photometric errors, except in WISE W1 (3.4 {\mu}m) and W2 (4.6 {\mu}m) where the photometric error ( mag) is to be comparable or larger than…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomical Observations and Instrumentation · Adaptive optics and wavefront sensing
