作者: Steven Phillipps , Stuart E. Sale , C. Knigge , Mike J Irwin , P. J. Groot
DOI: 10.1111/J.1365-2966.2008.14083.X
关键词:
摘要: We present an algorithm (MEAD, for ‘Mapping Extinction Against Distance’) which will determine intrinsic (r ′ −i ) colour, extinction, and distance early-A to K4 stars ex tracted from the IPHAS r /i /Hα photometric database. These data can be binned up map extinction in three dimensions across northern Galactic Plane. The large size of database (∼ 200 million unique objects), accuracy digital photometry it contains its faint limiting magnitude ∼ 20) allow mapped with fine angular ( 10 arcmin) 0.1 kpc) resolution distances kpc, outside Solar Circle. High reddening within Circle on occasion brings this range down 2 kpc. achieved, both angle depth, greatly exceeds that previous empirical 3D maps, enabling structure Pla ne studied increased detail. MEAD accounts effect survey limits, errors, unresolved ISM substructure, binarity. impact metallicity variations, typical disc is small. reliability o f are tested through use simulated created Monte-Carlo sampling techniques. success demonstrated a selection fields th e results compared literature.