Researchers have developed a new method to classify the cosmic web by applying scale-weighting kernels to the density field. This spectral hierarchy unifies existing web definitions and introduces new levels that emphasize smaller-scale structures. The classification is linked to bias ingredients in large-scale structure descriptions, offering a bridge between cosmic-web environments and bias terms. This approach retains significant information about tracer-relevant structures down to nonlinear scales, making it a practical tool for mock-galaxy production and environment-dependent clustering studies. AI
RANK_REASON The cluster contains an academic paper detailing a new scientific methodology. [lever_c_demoted from research: ic=1 ai=0.1]
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