A New, Large-scale Map of Interstellar Reddening Derived from H I Emission
- Creators
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Lenz, Daniel
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Hensley, Brandon S.
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Doré, Olivier
Abstract
We present a new map of interstellar reddening, covering the 39% of the sky with low HI column densities (N_(HI) < 4 × 10^(20) cm^(−2) or E(B−V) ≈ 45mmag) at 16.′1 resolution, based on all-sky observations of Galactic HI emission by the HI4PI Survey. In this low column density regime, we derive a characteristic value of N_(HI)/E(B−V) = 8.8 × 10^(21) cm^2 mag^(−1) for gas with |v_(LSR)| < 90km s^(−1) and find no significant reddening associated with gas at higher velocities. We compare our HI-based reddening map with the Schlegel, Finkbeiner, and Davis (1998, SFD) reddening map and find them consistent to within a scatter of ≃5mmag. Further, the differences between our map and the SFD map are in excellent agreement with the low resolution (4.∘5) corrections to the SFD map derived by Peek and Graves (2010) based on observed reddening toward passive galaxies. We therefore argue that our HI-based map provides the most accurate interstellar reddening estimates in the low column density regime to date. Our reddening map is made publicly available (this http URL).
Additional Information
© 2017 The American Astronomical Society. Received 2017 May 30; revised 2017 August 3; accepted 2017 August 5; published 2017 August 30. We thank Aaron Meisner, Josh Peek, Eddie Schlafly, and Benjamin Winkel for assistance with various data products and helpful conversations; Lars Flöer, Jürgen Kerp, Guilaine Lagache, and Gina Panopoulou for valuable feedback; and the anonymous referee for comments that improved the manuscript. This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. EBHIS is based on observations with the 100 m telescope of the MPIfR (Max-Planck-Institut für Radioastronomie) at Effelsberg. The Parkes Radio Telescope is part of the Australia Telescope, which is funded by the Commonwealth of Australia for operation as a National Facility managed by CSIRO. We acknowledge use of the Legacy Archive for Microwave Background Data Analysis (LAMBDA). Support for LAMBDA is provided by the NASA Office of Space Science. This research has made use of NASA's Astrophysics Data System, matplotlib (Hunter 2007), SciPy (Jones et al. 2001), NumPy (van der Walt et al. 2011), as well as Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013). Some of the results in this paper have been derived using the HEALPix (Górski et al. 2005) package.Attached Files
Published - Lenz_2017_ApJ_846_38.pdf
Submitted - 1706.00011.pdf
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Additional details
- Eprint ID
- 90388
- Resolver ID
- CaltechAUTHORS:20181024-080934659
- NASA/JPL/Caltech
- Commonwealth of Australia
- Created
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2018-10-24Created from EPrint's datestamp field
- Updated
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2023-06-01Created from EPrint's last_modified field