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Published November 20, 2015 | Published + Submitted
Journal Article Open

The Panchromatic Hubble Andromeda Treasury. VIII. A Wide-area, High-resolution Map of Dust Extinction in M31

Abstract

We map the distribution of dust in M31 at 25 pc resolution using stellar photometry from the Panchromatic Hubble Andromeda Treasury survey. The map is derived with a new technique that models the near-infrared color–magnitude diagram (CMD) of red giant branch (RGB) stars. The model CMDs combine an unreddened foreground of RGB stars with a reddened background population viewed through a log-normal column density distribution of dust. Fits to the model constrain the median extinction, the width of the extinction distribution, and the fraction of reddened stars in each 25 pc cell. The resulting extinction map has a factor of ≳ 4 times better resolution than maps of dust emission, while providing a more direct measurement of the dust column. There is superb morphological agreement between the new map and maps of the extinction inferred from dust emission by Draine et al. However, the widely used Draine & Li dust models overpredict the observed extinction by a factor of ~2.5, suggesting that M31's true dust mass is lower and that dust grains are significantly more emissive than assumed in Draine et al. The observed factor of ~2.5 discrepancy is consistent with similar findings in the Milky Way by the Plank Collaboration et al., but we find a more complex dependence on parameters from the Draine & Li dust models. We also show that the the discrepancy with the Draine et al. map is lowest where the current interstellar radiation field has a harder spectrum than average. We discuss possible improvements to the CMD dust mapping technique, and explore further applications in both M31 and other galaxies.

Additional Information

© 2015. The American Astronomical Society. Received 2014 March 7; accepted 2015 September 11; published 2015 November 10. We are happy to acknowledge Jouni Kainulainen for discussions that helped to crystallize our thinking during the writing of this paper. Bruce Draine is warmly thanked for providing his dust map in advance of publication, and for many illuminating discussions. We also are grateful to Robert Gendler (http://www.robgendlerastropics.com/) for allowing us to use his beautiful image of M31. We also thank Léo Girardi, Brent Groves, Dan Foreman-Mackey, Hans-Walter Rix, Thomas Robitaille, and Sarah Kendrew for help during the long incubation of this paper, and for facilitating J.J.D.'s much-needed conversion to Python. We are also extremely grateful to the referee for providing a truly excellent, well-considered report. J.J.D. gratefully acknowledges the hospitality of the Max-Planck Institut für Astronomie and Caffe Vita during part of this work. This work was supported by the Space Telescope Science Institute through GO-12055. D.A.G. kindly acknowledges support from the German Research Foundation (DFG) through the individual grant GO 1659/3-1. Support for DRW is provided by NASA through Hubble Fellowship grant HST-HF-51331.01 awarded by the Space Telescope Science Institute. This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013), and APLpy, an open-source plotting package for Python hosted at http://aplpy.github.com, as well as numpy, scipy, and matplotlib (Hunter 2007; Oliphant 2007). This research has made use of NASA's Astrophysics Data System Bibliographic Services.

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Published - Dalcanton_2015.pdf

Submitted - 1509.06988v1.pdf

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August 22, 2023
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