The Magellanic Cloud Calibration of the Galactic Planetary Nebula Distance Scale
Letizia Stanghellini, Richard A. Shaw, and Eva Villaver

TL;DR
This paper recalibrates the Galactic planetary nebula distance scale using Magellanic Cloud PNe with known distances, resulting in a more reliable method with about 30% uncertainty, and provides a new catalog of Galactic PN distances.
Contribution
The study introduces a new calibration of the PN distance scale based on Magellanic Cloud data, improving accuracy and reliability over previous methods.
Findings
New calibration closely matches Cahn et al. (1992) scale
Distance uncertainties are at least 30%
The method is most reliable for non-bipolar PNe
Abstract
Galactic planetary nebula (PN) distances are derived, except in a small number of cases, through the calibration of statistical properties of PNe. Such calibrations are limited by the accuracy of individual PN distances which are obtained with several non-homogeneous methods, each carrying its own set of liabilities. In this paper we use the physical properties of the PNe in the Magellanic Clouds, and their accurately known distances, to recalibrate the Shklovsky/Daub distance technique. Our new calibration is very similar (within 1 percent) of the commonly used distance scale by Cahn et al. (1992), although there are important differences. We find that neither distance scale works well for PNe with classic ("butterfly") bipolar morphology, and while the radiation bounded PN sequences in both the Galactic and the Magellanic Cloud calibration have similar slopes, the transition from…
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