# Modeling Nearest Neighbor distributions of biased tracers using Hybrid Effective Field Theory

@inproceedings{Banerjee2021ModelingNN, title={Modeling Nearest Neighbor distributions of biased tracers using Hybrid Effective Field Theory}, author={Arka Banerjee and Nickolas Kokron and Tom Abel}, year={2021} }

We investigate the application of Hybrid Effective Field Theory (HEFT) — which combines a Lagrangian bias expansion with subsequent particle dynamics from N-body simulations — to the modeling of k-Nearest Neighbor Cumulative Distribution Functions (kNN-CDFs) of biased tracers of the cosmological matter field. The kNN-CDFs are sensitive to all higher order connected N-point functions in the data, but are computationally cheap to compute. We develop the formalism to predict the kNN-CDFs of… Expand

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