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Numerical studies indicate that uncertainties in the treatment of baryonicphysics can affect predictions for shear power spectra at a level that issignificant for forthcoming surveys such as DES, SNAP, and LSST.Correspondingly, we show that baryonic effects can significantly bias darkenergy parameter measurements. Eliminating such biases by neglectinginformation in multipoles beyond several hundred leads to weaker parameterconstraints by a factor of approximately 2 to 3 compared with using informationout to multipoles of several thousand. Fortunately, the same numerical studiesthat explore the influence of baryons indicate that they primarily affect powerspectra by altering halo structure through the relation between halo mass andmean effective halo concentration. We explore the ability of future weaklensing surveys to constrain both the internal structures of halos and theproperties of the dark energy simultaneously as a first step toward selfcalibrating for the physics of baryons. This greatly reduces parameter biasesand no parameter constraint is degraded by more than 40% in the case of LSST or30% in the cases of SNAP or DES. Modest prior knowledge of the haloconcentration relation greatly improves even these forecasts. Additionally, wefind that these surveys can constrain effective halo concentrations nearm~10^14 Msun/h and z~0.2 to better than 10% with shear power spectra alone.These results suggest that inferring dark energy parameters with measurementsof shear power spectra can be made robust to baryonic effects and maysimultaneously be competitive with other methods to inform models of galaxyformation. (Abridged)

Self Calibration of Tomographic Weak Lensing for the Physics of Baryons to Constrain Dark Energy