Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis
作者： Anna Porredon , M Crocce , P Fosalba , J Elvin-Poole , A Carnero Rosell
DOI: 10.1103/PHYSREVD.103.043503
关键词:
摘要: We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing lens sample selection using information Dark Energy Survey (DES) Year 3 data assuming DES 1 Metacalibration for sources. explore easily reproducible selections based on magnitude cuts $i$-band as a function (photometric) redshift, $z_{\rm phot}$, benchmark against those well established redMaGiC sample. focus balance between density photometric redshift accuracy, while marginalizing over realistic set systematic parameters. Our optimal selection, MagLim sample, satisfies $i < 4 \, z_{\rm phot} + 18$ has $\sim 30\%$ wider distributions but 3.5$ times more galaxies than redMaGiC. Assuming wCDM model equivalent scale to mitigate nonlinear effects, this leads $40\%$ increase figure merit pair combinations $\Omega_m$, $w$, $\sigma_8$, $16\%$ $10\%$ $12\%$ $w$. Similarly, LCDM we find an improvement $19\%$ $27\%$ $\sigma_8$ respectively. also flux-limited samples with flat cut finding that 22.2$, 7$ 20\%$ compared MagLim, slightly worse constraints. show our results are robust respect assumed bias uncertainties only moderate further increased number tomographic bins or inclusion bin cross-correlations, except case which these significant.
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