This article presents a recipe for computation of galaxy two-point correlation function (2pCF) from redshift surveys using python . One of the salient features of this approach is that it can be used for calculating galaxy clustering for any arbitrary geometry (or Cosmology) model. Being ...
The function accepts the following arguments: N: [in] CBLAS_INT number of indexed elements. X: [in] double* input array. strideX: [in] CBLAS_INT stride length for X. double stdlib_strided_dnanmeanpn( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ); stdlib_strided_dn...
The function has the following parameters: N: number of indexed elements. x: input Float64Array. stride: index increment for x. The N and stride parameters determine which elements in x are accessed at runtime. For example, to compute the arithmetic mean of every other element in x, var ...