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An application of an optimal statistic for characterizing relative orientations.

Authors :
Jow, Dylan L.
Hill, Ryley
Scott, Douglas
Soler, J. D.
Martin, P. G.
Devlin, M. J.
Fissel, L. M.
Poidevin, F.
Source :
Monthly Notices of the Royal Astronomical Society; Feb2018, Vol. 474 Issue 1, p1018-1027, 10p
Publication Year :
2018

Abstract

We present the projected Rayleigh statistic (PRS), a modification of the classic Rayleigh statistic, as a test for non-uniform relative orientation between two pseudo-vector fields. In the application here, this gives an effective way of investigating whether polarization pseudovectors (spin-2 quantities) are preferentially parallel or perpendicular to filaments in the interstellar medium. For example, there are other potential applications in astrophysics, e.g. when comparing small-scale orientations with larger scale shear patterns. We compare the efficiency of the PRS against histogram binning methods that have previously been used for characterizing the relative orientations of gas column density structures with the magnetic field projected on the plane of the sky. We examine data for the Vela C molecular cloud, where the column density is inferred from Herschel submillimetre observations, and the magnetic field from observations by the Balloon-borne Large-Aperture Submillimetre Telescope in the 250-, 350- and 500-μm wavelength bands. We find that the PRS has greater statistical power than approaches that bin the relative orientation angles, as it makes more efficient use of the information contained in the data. In particular, the use of the PRS to test for preferential alignment results in a higher statistical significance, in each of the four Vela C regions, with the greatest increase being by a factor 1.3 in the South-Nest region in the 250 - μm band. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
474
Issue :
1
Database :
Complementary Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
127449108
Full Text :
https://doi.org/10.1093/mnras/stx2736