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We study the impact of baryonic physics on cosmological parameter estimationwith weak lensing surveys. We run a set of cosmological hydrodynamicssimulations with different galaxy formation models. We then perform ray-tracingsimulations through the total matter density field to generate 100 independentconvergence maps of 25 ${\rm deg}^2$ field-of-view, and use them to examine theability of the following three lensing statistics as cosmological probes; powerspectrum, peak counts, and Minkowski functionals. For the upcoming wide-fieldobservations such as Subaru Hyper Suprime-Cam (HSC) survey with a sky coverageof 1400 ${\rm deg}^2$, these three statistics provide tight constraints on thematter density, density fluctuation amplitude, and dark energy equation ofstate, but parameter bias is induced by the baryonic processes such as gascooling and stellar feedback. The bias can be significant when the statisticalerrors become small in future observations with a much larger survey area. Wefind the bias is induced in different directions in the parameter spacedepending on the statistics employed. While the two-point statistic, i.e. powerspectrum, yields robust results against baryonic effects, the overallconstraining power is weak compared with peak counts and Minkowski functionals.On the other hand, using one of peak counts or Minkowski functionals, orcombined analysis with multiple statistics, results in biased parameterestimate. The bias can be as large as $1\sigma$ for HSC survey, and will bemore significant for upcoming wider area surveys. We suggest to use anoptimized combination so that the baryonic effects on parameter estimation aremitigated. Such `calibrated' combination can place stringent and robustconstraints on cosmological parameters.

Impact of Baryonic Processes on Weak Lensing Cosmology: Power Spectrum, Non-Local Statistics, and Parameter Bias