Constraining cosmology with weak lensing voids

Upcoming surveys such as \LSST{} and \Euclid{} will significantly improve the power of weak lensing a cosmological probe. To maximise information that can be extracted from these surveys, it is important to explore novel statistics complement standard shear-shear correlation function peak counts. In this work, we use recently proposed observable -- voids make parameter constraint forecasts for an LSST-like survey. We \cosmoslics{} $w$CDM simulation suite measure void parameters. The data used train Gaussian process regression emulator generate likelihood contours provide constraints mock observations. find abundance more constraining than tangential shear profiles, though combination two gives additional power. forecast without tomographic decomposition, constrain matter fluctuation amplitude, $S_8$ within 0.3\% (68\% confidence interval), while offering 1.5, 1.5 2.7\% precision on density parameter, $\Omega_{\rm m}$, reduced Hubble constant, $h$, dark energy equation state $w_0$, respectively. These results are tighter with same observational specifications $\Omega_m$, $w_0$. WL also have complementary degeneracy directions 2PCF all combinations parameters include making promising