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Halo clustering for precision cosmology

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If you have a question about this talk, please contact Tommaso Giannantonio.

Only a self-consistent description of halo clustering will allow us to fully exploit the potential of future large-scale structure data. The peak approach is a very promising framework because it exhibits all the complications brought by halo biasing – scale-dependence, non-linearity and stochasticity – and simultaneously accounts for the halo mass function and bias parameters. I will illustrate the predictive power of this approach with numerical simulations, discuss its present limitations and outline directions for future work.

This talk is part of the Cosmology Lunch series.

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