"CLONES: Digital Twins of the Local Universe for Bias-Free Inference"

Understanding dark matter and dark energy, which make up 95% of the Universe, requires cosmological surveys to achieve percent-level precision. Yet, this precision reveals tensions between observations and the standard cosmological model, potentially stemming from systematic biases. CLONES (Constrained LOcal & Nesting Environment Simulations) are digital twins of the local Universe designed to replicate our cosmic environment and tackle these challenges. Highlighting key cosmological tensions and showcasing a few example studies of these CLONES will demonstrate how they can offer a powerful framework for bias-free analyses, advancing our understanding of galaxy evolution and large-scale structure formation.