hmf.helpers.sample.dndm_from_sample

hmf.helpers.sample.dndm_from_sample(m, V, nm=None, bins=50)[source]

Generate a binned dn/dm from a sample of halo masses.

Parameters

  • m (array_like) – A sample of masses

  • V (float) – Physical volume of the sample

  • nm (array_like) – A multiplicity of each of the masses – useful for samples from simulations in which the number of unique masses is much smaller than the total sample.

  • bins (int or array) – Specifies bins (in log10-space!) for the sample. See numpy.histogram for more details.

Returns

  • centres (array_like) – The centres of the bins.

  • hist (array_like) – The value of dn/dm in each bin.

Notes

The “centres” of the bins are located as the midpoint in log10-space.

If one does not have the volume, it can be calculated as N/n(>mmin).