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Constructing A Flexible Likelihood Function For Spectroscopic Inference
Ian Czekala, Sean M. Andrews, Kaisey S. Mandel +2
We present a modular, extensible likelihood framework for spectroscopic inference based on synthetic model spectra. The subtraction of an imperfect model from a continuously sample…
3D Dust Mapping Reveals that Orion Forms Part of a Large Ring of Dust
E. F. Schlafly, G. Green, D. P. Finkbeiner +12
The Orion Molecular Complex is the nearest site of ongoing high-mass star formation, making it one of the most extensively studied molecular complexes in the Galaxy. We have develo…
A Map of Dust Reddening to 4.5 kpc from Pan-STARRS1
E. F. Schlafly, G. Green, D. P. Finkbeiner +17
We present a map of the dust reddening to 4.5 kpc derived from Pan-STARRS1 stellar photometry. The map covers almost the entire sky north of declination -30 degrees at a resolution…
A Large Catalog of Accurate Distances to Molecular Clouds from PS1 Photometry
E. F. Schlafly, G. Green, D. P. Finkbeiner +12
Distance measurements to molecular clouds are important, but are often made separately for each cloud of interest, employing very different different data and techniques. We presen…
Measuring Distances and Reddenings for a Billion Stars: Towards A 3D Dust Map from Pan-STARRS 1
Gregory Maurice Green, Edward F. Schlafly, Douglas P. Finkbeiner +13
We present a method to infer reddenings and distances to stars, based only on their broad-band photometry, and show how this method can be used to produce a three-dimensional dust…