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Elvin-Poole, J.; Crocce, M.; Ross, A. J.; Giannantonio, T.; Rozo, E.; Rykoff, E. S.; Avila, S.; Banik, N.; Blazek, J.; Bridle, S. L.; Cawthon, R.; Drlica-Wagner, A.; Friedrich, O.; Kokron, N.; Krause, E.; MacCrann, N.; Prat, J.; Sanchez, C.; Secco, L. F.; Sevilla-Noarbe, I.; Troxel, M. A.; Abbott, T. M. C.; Abdalla, F. B.; Allam, S.; Annis, J.; Asorey, J.; Bechtol, K.; Becker, M. R.; Benoit-Levy, A.; Bernstein, G. M.; Bertin, E.; Brooks, D.; Buckley-Geer, E.; Burke, D. L.; Carnero Rosell, A.; Carollo, D.; Kind, M. Carrasco; Carretero, J.; Castander, F. J.; Cunha, C. E.; D'Andrea, C. B.; da Costa, L. N.; Davis, T. M.; Davis, C.; Desai, S.; Diehl, H. T.; Dietrich, J. P.; Dodelson, S.; Doel, P.; Eifler, T. F.; Evrard, A. E.; Fernandez, E.; Flaugher, B.; Fosalba, P.; Frieman, J.; Garcia-Bellido, J.; Gaztanaga, E.; Gerdes, D. W.; Glazebrook, K.; Gruen, D.; Gruendl, R. A.; Gschwend, J.; Gutierrez, G.; Hartley, W. G.; Hinton, S. R.; Honscheid, K.; Hoormann, J. K.; Jain, B.; James, D. J.; Jarvis, M.; Jeltema, T.; Johnson, M. W. G.; Johnson, M. D.; King, A.; Kuehn, K.; Kuhlmann, S.; Kuropatkin, N.; Lahav, O.; Lewis, G.; Li, T. S.; Lidman, C.; Lima, M.; Lin, H.; Macaulay, E.; March, M.; Marshall, J. L.; Martini, P.; Melchior, P.; Menanteau, F.; Miquel, R.; Mohr, J. J.; Moller, A.; Nichol, R. C.; Nord, B.; O'Neill, C. R.; Percival, W. J.; Petravick, D.; Plazas, A. A.; Romer, A. K.; Sako, M.; Sanchez, E.; Scarpine, V.; Schindler, R.; Schubnell, M.; Sheldon, E.; Smith, M.; Smith, R. C.; Soares-Santos, M.; Sobreira, F.; Sommer, N. E.; Suchyta, E.; Swanson, M. E. C.; Tarle, G.; Thomas, D.; Tucker, B. E.; Tucker, D. L.; Uddin, S. A.; Vikram, V.; Walker, A. R.; Wechsler, R. H.; Weller, J.; Wester, W.; Wolf, R. C.; Yuan, F.; Zhang, B.; Zuntz, J. (2018): Dark Energy Survey year 1 results: Galaxy clustering for combined probes. In: Physical Review D, Vol. 98, No. 4, 42006
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Abstract

We measure the clustering of DES year 1 galaxies that are intended to be combined with weak lensing samples in order to produce precise cosmological constraints from the joint analysis of large-scale structure and lensing correlations. Two-point correlation functions are measured for a sample of 6.6 x 10(5) luminous red galaxies selected using the REDMAGIC algorithm over an area of 1321 square degrees, in the redshift range 0.15 < z < 0.9, split into five tomographic redshift bins. The sample has a mean redshift uncertainty of sigma(z)/(1 + z) = 0.017. We quantify and correct spurious correlations induced by spatially variable survey properties, testing their impact on the clustering measurements and covariance. We demonstrate the sample's robustness by testing for stellar contamination, for potential biases that could arise from the systematic correction, and for the consistency between the two-point auto-and cross-correlation functions. We show that the corrections we apply have a significant impact on the resultant measurement of cosmological parameters, but that the results are robust against arbitrary choices in the correction method. We find the linear galaxy bias in each redshift bin in a fiducial cosmology to be b(sigma(8)/0.81) vertical bar(z=0.24) =1.40 +/- 0.07, b(sigma(8)/0.81) vertical bar(z=0.38) = 1.60 +/- 0.05, (sigma(8)/0.81) vertical bar(z=0.53) = 1.60 +/- 0.04 for galaxies with luminosities L/L-* > 0.5, b(sigma(8)/0.8) vertical bar(z=0.68) = 1.93 +/- 0.04 for L/L-* > 1 and b(sigma(8)/0.81) vertical bar(z=0.83) = 1.98 +/- 0.07 for L/L-* > 1.5, broadly consistent with expectations for the redshift and luminosity dependence of the bias of red galaxies. We show these measurements to be consistent with the linear bias obtained from tangential shear measurements.

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