Reddening (E(B-V)) Map (Green et al. 2018)
HEALPix nested, res 10 (Nside=1024)
3.4 to 13.7 arcmin
Original Data Source
Green et al. (2018) derived a new three-dimensional map of dust reddening to a distance of several kpc from Pan-STARRS1 and 2MASS stellar photometry. The map covers almost the entire sky north of declination -30 degrees, mostly at a resolution of 3.4 to 13.7 arcminutes. It is based on high quality stellar photometry of 800 million stars from Pan-STARRS 1 and 2MASS. The new map is referred to as Bayestar17 and supersedes the previous Bayestar15 map of Green et al. (2015). The new map incorporates a more accurate average extinction law and an additional 1.5 years of Pan-STARRS 1 data, tracing dust to greater extinctions and at higher angular resolutions than the previous map. The three-dimensional data can be queried or downloaded from the 3D dust mapping site of Green, Schlafly, and Finkbeiner. The site provides the following notes on the three-dimensional data.
LAMBDA provides a two-dimensional map of the cumulative reddening to the farthest distance bin for each pixel. This was calculated as the median over the Markov chain samples in the 3D dataset for the farthest distance bin, following the method given here. We also provide a 1-sigma uncertainty for the cumulative reddening. Following a recommendation from Gregory Green, this was calculated as half of the difference between the 84th percentile cumulative reddening sample and 16th percentile sample, with a floor of 0.03.
The two-dimensional reddening map is available as a binary FITS table, ordered according to the HEALPix scheme. The original three-dimensional dataset contains data for pixels of different sizes. The two-dimensional data have been upsampled to the minimum pixel size (HEALPix res=10, or Nside=1024). The data are set to NaN for unobserved pixels. Each record in the table has the following fields:
For Galactic plane, other 3D extinction maps may also be of interest. See Chen et al. 2018 and references therein.
More details can be found in:
Galactic Reddening in 3D from Stellar Photometry - An Improved Map", Green, Schlafly, Finkbeiner et al. 2018, MNRAS, 478, 651. ADS