The Large Scale Bias of Dark Matter Halos: Numerical Calibration and Model Tests

Understand

We measure the clustering of dark matter halos in a large set of collisionless cosmological simulations of the flat LCDM cosmology.

• Halos are identified using the spherical overdensity algorithm, which finds the mass around isolated peaks in the density field such that the mean density is Delta times the background.
• We calibrate fitting functions for the large scale bias that are adaptable to any value of Delta we examine.
• We find a ~6% scatter about our best fit bias relation.