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Pan-STARRS1 : galaxy clustering in the Small Area Survey 2.

Farrow, Daniel J. and Cole, Shaun and Metcalfe, N. and Draper, P. W. and Norberg, P. and Foucaud, Sébastien and Burgett, W. S. and Chambers, K. C. and Kaiser, N. and Kudritzki, R. P. and Magnier, E. A. and Price, P. A. and Tonry, J. L. and Waters, C. (2014) 'Pan-STARRS1 : galaxy clustering in the Small Area Survey 2.', Monthly notices of the Royal Astronomical Society., 437 (1). pp. 748-770.


The Panoramic Survey Telescope and Rapid Response System 1 survey is currently obtaining imaging in five bands (gP1, rP1, iP1, zP1 and yP1) for the 3π steradian survey, one of the largest optical surveys ever conducted. The finished survey will have spatially varying depth, due to the survey strategy. This paper presents a method to correct galaxy number counts and galaxy clustering for this potential systematic based on a simplified signal-to-noise ratio measurement. A star and galaxy separation method calibrated using realistic synthetic images is also presented, along with an approach to mask bright stars. By using our techniques on a 69 square degree region of science verification data this paper shows PS1 measurements of the two-point angular correlation function as a function of apparent magnitude agree with measurements from deeper, smaller surveys. Clustering measurements appear reliable down to a magnitude limit of rP1 < 22.5. Additionally, stellar contamination and false detection issues are discussed and quantified. This work is the second of two papers which pave the way for the exploitation of the full 3π survey for studies of large-scale structure.

Item Type:Article
Keywords:Methods: observational, Surveys, Large-scale structure of Universe.
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Publisher statement:This article has been accepted for publication in Monthly notices of the Royal Astronomical Society © 2013 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Date accepted:07 October 2013
Date deposited:19 February 2014
Date of first online publication:January 2014
Date first made open access:No date available

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