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The detection and treatment of distance errors in kinematic analyses of stars

Abstract:
We present a new method for detecting and correcting systematic errors in the distances to stars when both proper motions and line-of-sight velocities are available. The method, which is applicable for samples of 200 or more stars that have a significant extension on the sky, exploits correlations between the measured U, V and W velocity components that are introduced by distance errors. We deliver a formalism to describe and interpret the specific imprints of distance errors including spurious velocity correlations and shifts of mean motion in a sample. We take into account correlations introduced by measurement errors, Galactic rotation and changes in the orientation of the velocity ellipsoid with position in the Galaxy. Tests on pseudo-data show that the method is more robust and sensitive than traditional approaches to this problem. We investigate approaches to characterizing the probability distribution of distance errors, in addition to the mean distance error, which is the main theme of the paper. Stars with the most overestimated distances bias our estimate of the overall distance scale, leading to the corrected distances being slightly too small. We give a formula that can be used to correct for this effect. We apply the method to samples of stars from the Sloan Extension for Galactic Understanding and Exploration (SEGUE) survey, exploring optimal gravity cuts, sample contamination, and correcting the used distance relations. © 2011 The Authors Monthly Notices of the Royal Astronomical Society © 2011 RAS.
Publication status:
Published

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Publisher copy:
10.1111/j.1365-2966.2011.20113.x

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Journal:
Monthly Notices of the Royal Astronomical Society More from this journal
Volume:
420
Issue:
2
Pages:
1281-1293
Publication date:
2012-02-01
DOI:
EISSN:
1365-2966
ISSN:
0035-8711


Language:
English
Keywords:
Pubs id:
pubs:313605
UUID:
uuid:e9b71740-ffcf-4b22-9a8e-f6b9351d68ee
Local pid:
pubs:313605
Source identifiers:
313605
Deposit date:
2013-11-16
ARK identifier:

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