Description
Mitigating Projection Effects in Full-Shape Analyses
Projection effects in full-shape analyses of galaxy clustering arise when nuisance parameters are degenerate with cosmological parameters and governed by weakly constrained or poorly defined priors. We outline three complementary mitigation strategies: employing simulation-based nuisance priors from realistic mock catalogs; applying non-linear reparameterizations to decorrelate nuisance and cosmological parameters; and leveraging frequentist inference methods to minimize explicit prior dependence. Together, these approaches enhance the reliability of cosmological constraints and offer complementary interpretations of the data.
