Dec 11 – 15, 2023
Tsung-Dao Lee Institute
Asia/Shanghai timezone

Evaluating baryonic effects in HSC Y3 cosmic shear data with a dark matter-only model

Dec 14, 2023, 2:50 PM
Hall # 1

Hall # 1

Contributed talk in mini symposium Cosmology with large-scale structure


Ryo Terasawa (Kavli IPMU)


Cosmic shear is a powerful tool for revealing matter distribution in the large-scale structure of the universe. Li et al. (2023) and Dalal et al. (2023) measured the tomographic cosmic shear correlation functions and power spectra, respectively, from the HSC-Y3 data, and then constrained the cosmological parameters from the model fitting. Although the small scale data has a high signal-to-noise ratio, accurately modeling matter distribution on these scales is still challenging due to poorly understood baryonic effects. These baryonic effects have garnered attention as potential contributors to alleviating the $S_8$ tension observed between weak-lensing cosmology and the cosmology inferred from Planck data. Consequently, there is a growing trend to model these baryonic effects based on hydrodynamical simulations and to account for the uncertainty by marginalizing over the associated baryonic physics parameters.
The problem is, however, that there are still uncertainties in the subgrid physics of baryonic effects employed in cosmological hydrodynamical simulations. As an alternative to pursuing an accurate or flexible baryonic physics model, our approach involves assessing the performance of a dark matter (DM)-only model prediction. Due to advancements in cosmological simulations, DM-only model predictions for the large-scale structure are considered an accurate theoretical model, next to the linear theory of structure formation. We evaluate the goodness-of-fit of DM-only model predictions and find that this model can fit the cosmic shear correlation functions measured from the HSC-Y3 data, even at scales below the fiducial scale cuts. This finding suggests that no significant baryonic effects are present in the HSC-Y3 cosmic shear data, considering its associated uncertainties.

Primary author

Ryo Terasawa (Kavli IPMU)

Presentation materials