3D dust map from Green et al. (2019)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'A three-dimensional map of dust reddening, covering the three quarters of the sky surveyed by the Pan-STARRS 1 (PS1) survey (declination δ&nbsp>&nbsp-30°). We use PS1 and 2MASS optical and near-infrared photometry, in conjunction with Gaia DR2 parallaxes, to infer distances and reddenings to ~800 million stars. These stars trace the reddening along different lines of sight, allowing us to build up a map of reddening in 3D. This work builds on Green et al. (2014, 2015, 2017).The map is structured as a set of sightlines, each of which contains multiple samples of the cumulative dust reddening as a function of distance. Each sightline is identified by a HEALPix nside parameter and nested pixel index. Within each sightline, cumulative reddening is given at discrete distances, spaced evenly in distance modulus. For' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["dust","Galactic structure","interstellar extinction","interstellar medium","interstellar reddening","stellar parameter estimation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'A three-dimensional map of dust reddening, covering the three quarters of the sky surveyed by the Pan-STARRS 1 (PS1) survey (declination δ&nbsp>&nbsp-30°). We use PS1 and 2MASS optical and near-infrared photometry, in conjunction with Gaia DR2 parallaxes, to infer distances and reddenings to ~800 million stars. These stars trace the reddening along different lines of sight, allowing us to build up a map of reddening in 3D. This work builds on Green et al. (2014, 2015, 2017).The map is structured as a set of sightlines, each of which contains multiple samples of the cumulative dust reddening as a function of distance. Each sightline is identified by a HEALPix nside parameter and nested pixel index. Within each sightline, cumulative reddening is given at discrete distances, spaced evenly in distance modulus. For' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
A three-dimensional map of dust reddening, covering the three quarters of the sky surveyed by the Pan-STARRS 1 (PS1) survey (declination δ&nbsp>&nbsp-30°). We use PS1 and 2MASS optical and near-infrared photometry, in conjunction with Gaia DR2 parallaxes, to infer distances and reddenings to ~800 million stars. These stars trace the reddening along different lines of sight, allowing us to build up a map of reddening in 3D. This work builds on Green et al. (2014, 2015, 2017).The map is structured as a set of sightlines, each of which contains multiple samples of the cumulative dust reddening as a function of distance. Each sightline is identified by a HEALPix nside parameter and nested pixel index. Within each sightline, cumulative reddening is given at discrete distances, spaced evenly in distance modulus. For
dust; Galactic structure; interstellar extinction; interstellar medium; interstellar reddening; stellar parameter estimation