2 import py_cosmo_mad
as csm
7 pcs.background_set(0.3,0.7,0.05,-1.,0.,0.7,2.7255)
8 pcs.set_linear_pk(
"BBKS",-3,3,0.01,0.96,0.8)
9 pcs.set_mf_params(10.,16.,0.01)
11 lm_arr=11.+4.*(np.arange(9)+0.0)/8.
13 z_arr=0.2*np.arange(7)
14 nm_arr=np.array([[pcs.multiplicity_function(m,z,
"Tinker200")/pcs.dlsigMdlM(m)
for m
in m_arr]
for z
in z_arr])
19 head+=
"[%d]"%iz+
"z=%g "%z
21 np.savetxt(
"mfunc.txt",np.transpose(np.concatenate((m_arr[
None,:],nm_arr),axis=0)),header=head)