Kavli Affiliate: Kaisey Mandel | Summary:We present a method for accurately and precisely inferring photometric dust extinction towards stars at mid-to-high Galactic latitudes using probabilistic machine learning to model the colour-magnitude distribution of zero-extinction stars in these regions. Photometric dust maps rely on a robust method for inferring stellar reddening. At high Galactic latitudes, where […]
Continue.. Data-driven dust inference at mid-to-high Galactic latitudes using probabilistic machine learning