期刊
PHYSICAL REVIEW D
卷 87, 期 4, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.87.043509
关键词
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资金
- National Science Foundation [PHY-1066293, AST-090872]
- Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC) at the University of Pittsburgh
- U.S. Department of Energy [DE-AC02-07CH11359, DEFG02-95ER40896, DE-FG02-95ER40893]
- Netherlands Organisation for Scientific Research (NWO) [639.042.814]
- European Research Council under the EC FP7 [279396]
- NSF [AST 0908027]
- Direct For Mathematical & Physical Scien
- Division Of Astronomical Sciences [0908027, 1108802] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Astronomical Sciences [0908072] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Physics [1125897] Funding Source: National Science Foundation
One of the most pernicious theoretical systematics facing upcoming gravitational lensing surveys is the uncertainty introduced by the effects of baryons on the power spectrum of the convergence field. One method that has been proposed to account for these effects is to allow several additional parameters (that characterize dark matter halos) to vary and to fit lensing data to these halo parameters concurrently with the standard set of cosmological parameters. We test this method. In particular, we use this technique to model convergence power spectrum predictions from a set of cosmological simulations. We estimate biases in dark energy equation-of-state parameters that would be incurred if one were to fit the spectra predicted by the simulations either with no model for baryons or with the proposed method. We show that neglecting baryonic effect leads to biases in dark energy parameters that are several times the statistical errors for a survey like the Dark Energy Survey. The proposed method to correct for baryonic effects renders the residual biases in dark energy equation-of-state parameters smaller than the statistical errors. These results suggest that this mitigation method may be applied to analyze convergence spectra from a survey like the Dark Energy Survey. For significantly larger surveys, such as will be carried out by the Large Synoptic Survey Telescope, the biases introduced by baryonic effects are much more significant. We show that this mitigation technique significantly reduces the biases for such larger surveys, but that a more effective mitigation strategy will need to be developed in order ensure that the residual biases in these surveys fall below the statistical errors. DOI: 10.1103/PhysRevD.87.043509
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