Speaker
Description
Measuring the peaks of weak lensing convergence maps provides information about structure formation and the distribution of matter, which can improve cosmological constraints when combined with 2-point statistics. In a photometric survey, such as LSST, calibration of galaxy redshifts is expected to contribute significantly to the uncertainty on cosmological parameter estimation. To assess the impact of photo-z bias for cosmology with peak counts in LSST, we first train an emulator using convergence maps from the cosmo-SLICS simulations. We then use the emulator to perform inference on a different set of simulations with biased photo-z distributions, obtaining constraints on $\Omega_m$, $S_8$ and $w_0$. By comparing these to results obtained using unbiased simulations, we are thus able to quantify the effect of photo-z errors on cosmology with peak statistics.
| Other topic / keywords: | Weak Lensing |
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