MEASURING REDDENING WITH SLOAN DIGITAL SKY SURVEY STELLAR SPECTRA AND RECALIBRATING SFD is a research paper published in The Astrophysical Journal (2011). On theSindex it has a DataRank of 1.3. It has been cited 7,517 times.
We present measurements of dust reddening using the colors of stars with\nspectra in the Sloan Digital Sky Survey. We measure reddening as the difference\nbetween the measured and predicted colors of a star, as derived from stellar\nparameters from the SEGUE Stellar Parameter Pipeline (Lee et al. 2008a). We\nachieve uncertainties of 56, 34, 25, and 29 mmag in the colors u-g, g-r, r-i,\nand i-z, per star, though the uncertainty varies depending on the stellar type\nand the magnitude of the star. The spectrum-based reddening measurements\nconfirm our earlier "blue tip" reddening measurements (Schlafly et al. 2010,\nS10), finding reddening coefficients different by -3%, 1%, 1%, and 2% in u-g,\ng-r, r-i, and i-z from those found by the blue tip method, after removing a 4%\nnormalization difference. These results prefer an R_V=3.1 Fitzpatrick (1999)\nreddening law to O'Donnell (1994) or Cardelli et al. (1989) reddening laws. We\nprovide a table of conversion coefficients from the Schlegel et al. (1998) maps\nof E(B-V) to extinction in 88 bandpasses for 4 values of R_V, using this\nreddening law and the 14% recalibration of SFD first reported by S10 and\nconfirmed in this work.\n
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
1.3
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.