4.7 Article

High spatial resolution Galactic 3D extinction mapping with IPHAS

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2008.14083.x

关键词

methods: miscellaneous; surveys; stars: general; dust, extinction; ISM: structure; Galaxy: disc

资金

  1. Science & Technology Facilities Council of the United Kingdom
  2. STFC [ST/F002599/1, ST/F00723X/1, PP/C002229/1, ST/F001967/1, PP/D005914/1, ST/F003196/1, ST/H004157/1, ST/H004165/1, ST/G002622/1, PP/D001013/1] Funding Source: UKRI
  3. Science and Technology Facilities Council [ST/F00723X/1, PP/D005914/1, ST/H004157/1, PP/C002229/1, ST/F001967/1, ST/G002622/1, ST/F003196/1, PP/D001013/1, ST/F002599/1, ST/H004165/1] Funding Source: researchfish

向作者/读者索取更多资源

We present an algorithm ( MEAD, for 'Mapping Extinction Against Distance') which will determine intrinsic (r' - i') colour, extinction, and distance for early-A to K4 stars extracted from the IPHAS r'/ i'/H alpha photometric data base. These data can be binned up to map extinction in three dimensions across the northern Galactic plane. The large size of the IPHAS data base (similar to 200 million unique objects), the accuracy of the digital photometry it contains and its faint limiting magnitude (r' similar to 20) allow extinction to be mapped with fine angular (similar to 10 arcmin) and distance (similar to 0.1 kpc) resolution to distances of up to 10 kpc, outside the solar circle. High reddening within the solar circle on occasion brings this range down to similar to 2 kpc. The resolution achieved, both in angle and depth, greatly exceeds that of previous empirical 3D extinction maps, enabling the structure of the Galactic Plane to be studied in increased detail. MEAD accounts for the effect of the survey magnitude limits, photometric errors, unresolved interstellar medium (ISM) substructure and binarity. The impact of metallicity variations, within the range typical of the Galactic disc is small. The accuracy and reliability of MEAD are tested through the use of simulated photometry created with Monte Carlo sampling techniques. The success of this algorithm is demonstrated on a selection of fields and the results are compared to the literature.

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