667 lines
19 KiB
Cython
667 lines
19 KiB
Cython
from cpython cimport bool
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from libc.math cimport sin, cos, abs, floor, sqrt
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import numpy as np
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cimport numpy as npx
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cimport cython
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ctypedef npx.float64_t DTYPE_t
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DTYPE=np.float64
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__all__=["project_cic","line_of_sight_projection","spherical_projection","DTYPE","interp3d","interp2d"]
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cdef extern from "project_tools.hpp" namespace "":
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DTYPE_t compute_projection(DTYPE_t *vertex_value, DTYPE_t *u, DTYPE_t *u0, DTYPE_t rho)
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef DTYPE_t interp3d_INTERNAL_periodic(DTYPE_t x, DTYPE_t y,
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DTYPE_t z,
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npx.ndarray[DTYPE_t, ndim=3] d, DTYPE_t Lbox) except? 0:
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cdef int Ngrid = d.shape[0]
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cdef DTYPE_t inv_delta = Ngrid/Lbox
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cdef int ix, iy, iz
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cdef DTYPE_t f[2][2][2]
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cdef DTYPE_t rx, ry, rz
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cdef int jx, jy, jz
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rx = (inv_delta*x + Ngrid/2)
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ry = (inv_delta*y + Ngrid/2)
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rz = (inv_delta*z + Ngrid/2)
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ix = int(floor(rx))
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iy = int(floor(ry))
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iz = int(floor(rz))
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rx -= ix
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ry -= iy
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rz -= iz
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while ix < 0:
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ix += Ngrid
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while iy < 0:
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iy += Ngrid
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while iz < 0:
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iz += Ngrid
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jx = (ix+1)%Ngrid
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jy = (iy+1)%Ngrid
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jz = (iz+1)%Ngrid
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ix = ix%Ngrid
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iy = iy%Ngrid
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iz = iz%Ngrid
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assert ((ix >= 0) and ((jx) < Ngrid))
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assert ((iy >= 0) and ((jy) < Ngrid))
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assert ((iz >= 0) and ((jz) < Ngrid))
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f[0][0][0] = (1-rx)*(1-ry)*(1-rz)
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f[1][0][0] = ( rx)*(1-ry)*(1-rz)
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f[0][1][0] = (1-rx)*( ry)*(1-rz)
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f[1][1][0] = ( rx)*( ry)*(1-rz)
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f[0][0][1] = (1-rx)*(1-ry)*( rz)
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f[1][0][1] = ( rx)*(1-ry)*( rz)
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f[0][1][1] = (1-rx)*( ry)*( rz)
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f[1][1][1] = ( rx)*( ry)*( rz)
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return \
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d[ix ,iy ,iz ] * f[0][0][0] + \
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d[jx ,iy ,iz ] * f[1][0][0] + \
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d[ix ,jy ,iz ] * f[0][1][0] + \
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d[jx ,jy ,iz ] * f[1][1][0] + \
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d[ix ,iy ,jz ] * f[0][0][1] + \
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d[jx ,iy ,jz ] * f[1][0][1] + \
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d[ix ,jy ,jz ] * f[0][1][1] + \
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d[jx ,jy ,jz ] * f[1][1][1]
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef DTYPE_t interp3d_INTERNAL(DTYPE_t x, DTYPE_t y,
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DTYPE_t z,
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npx.ndarray[DTYPE_t, ndim=3] d, DTYPE_t Lbox) except? 0:
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cdef int Ngrid = d.shape[0]
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cdef DTYPE_t inv_delta = Ngrid/Lbox
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cdef int ix, iy, iz
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cdef DTYPE_t f[2][2][2]
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cdef DTYPE_t rx, ry, rz
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rx = (inv_delta*x + Ngrid/2)
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ry = (inv_delta*y + Ngrid/2)
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rz = (inv_delta*z + Ngrid/2)
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ix = int(floor(rx))
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iy = int(floor(ry))
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iz = int(floor(rz))
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rx -= ix
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ry -= iy
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rz -= iz
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if ((ix < 0) or (ix+1) >= Ngrid):
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raise IndexError("X coord out of bound (ix=%d, x=%g)" % (ix,x))
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if ((iy < 0) or (iy+1) >= Ngrid):
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raise IndexError("Y coord out of bound (iy=%d, y=%g)" % (iy,y))
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if ((iz < 0) or (iz+1) >= Ngrid):
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raise IndexError("Z coord out of bound (iz=%d, z=%g)" % (iz,z))
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# assert ((ix >= 0) and ((ix+1) < Ngrid))
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# assert ((iy >= 0) and ((iy+1) < Ngrid))
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# assert ((iz >= 0) and ((iz+1) < Ngrid))
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f[0][0][0] = (1-rx)*(1-ry)*(1-rz)
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f[1][0][0] = ( rx)*(1-ry)*(1-rz)
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f[0][1][0] = (1-rx)*( ry)*(1-rz)
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f[1][1][0] = ( rx)*( ry)*(1-rz)
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f[0][0][1] = (1-rx)*(1-ry)*( rz)
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f[1][0][1] = ( rx)*(1-ry)*( rz)
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f[0][1][1] = (1-rx)*( ry)*( rz)
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f[1][1][1] = ( rx)*( ry)*( rz)
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return \
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d[ix ,iy ,iz ] * f[0][0][0] + \
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d[ix+1,iy ,iz ] * f[1][0][0] + \
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d[ix ,iy+1,iz ] * f[0][1][0] + \
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d[ix+1,iy+1,iz ] * f[1][1][0] + \
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d[ix ,iy ,iz+1] * f[0][0][1] + \
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d[ix+1,iy ,iz+1] * f[1][0][1] + \
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d[ix ,iy+1,iz+1] * f[0][1][1] + \
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d[ix+1,iy+1,iz+1] * f[1][1][1]
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def interp3d(x not None, y not None,
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z not None,
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npx.ndarray[DTYPE_t, ndim=3] d not None, DTYPE_t Lbox,
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bool periodic=False):
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cdef npx.ndarray[DTYPE_t] out
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cdef npx.ndarray[DTYPE_t] ax, ay, az
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cdef int i
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if d.shape[0] != d.shape[1] or d.shape[0] != d.shape[2]:
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raise ValueError("Grid must have a cubic shape")
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if type(x) == np.ndarray or type(y) == np.ndarray or type(z) == np.ndarray:
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if type(x) != np.ndarray or type(y) != np.ndarray or type(z) != np.ndarray:
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raise ValueError("All or no array. No partial arguments")
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ax = x
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ay = y
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az = z
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assert ax.size == ay.size and ax.size == az.size
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out = np.empty(x.shape, dtype=DTYPE)
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if periodic:
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for i in range(ax.size):
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out[i] = interp3d_INTERNAL_periodic(ax[i], ay[i], az[i], d, Lbox)
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else:
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for i in range(ax.size):
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out[i] = interp3d_INTERNAL(ax[i], ay[i], az[i], d, Lbox)
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return out
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else:
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if periodic:
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return interp3d_INTERNAL_periodic(x, y, z, d, Lbox)
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else:
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return interp3d_INTERNAL(x, y, z, d, Lbox)
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef DTYPE_t interp2d_INTERNAL_periodic(DTYPE_t x, DTYPE_t y,
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npx.ndarray[DTYPE_t, ndim=2] d, DTYPE_t Lbox) except? 0:
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cdef int Ngrid = d.shape[0]
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cdef DTYPE_t inv_delta = Ngrid/Lbox
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cdef int ix, iy
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cdef DTYPE_t f[2][2]
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cdef DTYPE_t rx, ry
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cdef int jx, jy
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rx = (inv_delta*x + Ngrid/2)
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ry = (inv_delta*y + Ngrid/2)
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ix = int(floor(rx))
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iy = int(floor(ry))
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rx -= ix
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ry -= iy
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while ix < 0:
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ix += Ngrid
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while iy < 0:
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iy += Ngrid
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jx = (ix+1)%Ngrid
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jy = (iy+1)%Ngrid
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assert ((ix >= 0) and ((jx) < Ngrid))
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assert ((iy >= 0) and ((jy) < Ngrid))
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f[0][0] = (1-rx)*(1-ry)
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f[1][0] = ( rx)*(1-ry)
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f[0][1] = (1-rx)*( ry)
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f[1][1] = ( rx)*( ry)
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return \
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d[ix ,iy ] * f[0][0] + \
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d[jx ,iy ] * f[1][0] + \
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d[ix ,jy ] * f[0][1] + \
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d[jx ,jy ] * f[1][1]
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef DTYPE_t interp2d_INTERNAL(DTYPE_t x, DTYPE_t y,
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npx.ndarray[DTYPE_t, ndim=2] d, DTYPE_t Lbox) except? 0:
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cdef int Ngrid = d.shape[0]
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cdef DTYPE_t inv_delta = Ngrid/Lbox
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cdef int ix, iy
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cdef DTYPE_t f[2][2]
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cdef DTYPE_t rx, ry
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rx = (inv_delta*x + Ngrid/2)
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ry = (inv_delta*y + Ngrid/2)
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ix = int(floor(rx))
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iy = int(floor(ry))
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rx -= ix
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ry -= iy
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if ((ix < 0) or (ix+1) >= Ngrid):
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raise IndexError("X coord out of bound (ix=%d, x=%g)" % (ix,x))
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if ((iy < 0) or (iy+1) >= Ngrid):
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raise IndexError("Y coord out of bound (iy=%d, y=%g)" % (iy,y))
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# assert ((ix >= 0) and ((ix+1) < Ngrid))
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# assert ((iy >= 0) and ((iy+1) < Ngrid))
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# assert ((iz >= 0) and ((iz+1) < Ngrid))
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f[0][0] = (1-rx)*(1-ry)
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f[1][0] = ( rx)*(1-ry)
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f[0][1] = (1-rx)*( ry)
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f[1][1] = ( rx)*( ry)
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return \
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d[ix ,iy ] * f[0][0] + \
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d[ix+1,iy ] * f[1][0] + \
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d[ix ,iy+1] * f[0][1] + \
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d[ix+1,iy+1] * f[1][1]
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def interp2d(x not None, y not None,
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npx.ndarray[DTYPE_t, ndim=2] d not None, DTYPE_t Lbox,
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bool periodic=False):
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cdef npx.ndarray[DTYPE_t] out
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cdef npx.ndarray[DTYPE_t] ax, ay
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cdef int i
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if d.shape[0] != d.shape[1]:
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raise ValueError("Grid must have a square shape")
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if type(x) == np.ndarray or type(y) == np.ndarray:
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if type(x) != np.ndarray or type(y) != np.ndarray:
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raise ValueError("All or no array. No partial arguments")
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ax = x
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ay = y
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assert ax.size == ay.size
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out = np.empty(x.shape, dtype=DTYPE)
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if periodic:
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for i in range(ax.size):
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out[i] = interp2d_INTERNAL_periodic(ax[i], ay[i], d, Lbox)
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else:
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for i in range(ax.size):
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out[i] = interp2d_INTERNAL(ax[i], ay[i], d, Lbox)
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return out
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else:
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if periodic:
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return interp2d_INTERNAL_periodic(x, y, d, Lbox)
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else:
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return interp2d_INTERNAL(x, y, d, Lbox)
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef void INTERNAL_project_cic_no_mass(npx.ndarray[DTYPE_t, ndim=3] g,
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npx.ndarray[DTYPE_t, ndim=2] x, int Ngrid, float Lbox):
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cdef double half_Box = 0.5*Lbox
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cdef double delta_Box = Ngrid/Lbox
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cdef int i
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cdef double a[3], c[3]
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cdef int b[3]
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cdef int do_not_put
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for i in range(x.shape[0]):
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do_not_put = False
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for j in range(3):
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a[j] = (x[i,j]+half_Box)*delta_Box
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b[j] = int(floor(a[j]))
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a[j] -= b[j]
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c[j] = 1-a[j]
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if b[j] < 0 or b[j]+1 >= Ngrid:
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do_not_put = True
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print("b = %g %g %g" % (b[0], b[1], b[2]))
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print("a = %g %g %g" % (a[0], a[1], a[2]))
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if not do_not_put:
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g[b[0],b[1],b[2]] += c[0]*c[1]*c[2]
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g[b[0]+1,b[1],b[2]] += a[0]*c[1]*c[2]
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g[b[0],b[1]+1,b[2]] += c[0]*a[1]*c[2]
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g[b[0]+1,b[1]+1,b[2]] += a[0]*a[1]*c[2]
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g[b[0],b[1],b[2]+1] += c[0]*c[1]*a[2]
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g[b[0]+1,b[1],b[2]+1] += a[0]*c[1]*a[2]
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g[b[0],b[1]+1,b[2]+1] += c[0]*a[1]*a[2]
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g[b[0]+1,b[1]+1,b[2]+1] += a[0]*a[1]*a[2]
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef void INTERNAL_project_cic_no_mass_periodic(npx.ndarray[DTYPE_t, ndim=3] g,
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npx.ndarray[DTYPE_t, ndim=2] x, int Ngrid, double Lbox):
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cdef double half_Box = 0.5*Lbox
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cdef double delta_Box = Ngrid/Lbox
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cdef int i
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cdef double a[3], c[3]
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cdef int b[3], b1[3]
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cdef int do_not_put
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for i in range(x.shape[0]):
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do_not_put = False
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for j in range(3):
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a[j] = (x[i,j]+half_Box)*delta_Box
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b[j] = int(floor(a[j]))
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b1[j] = b[j]+1
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while b1[j] < 0:
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b1[j] += Ngrid
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while b1[j] >= Ngrid:
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b1[j] -= Ngrid
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a[j] -= b[j]
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c[j] = 1-a[j]
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g[b[0],b[1],b[2]] += c[0]*c[1]*c[2]
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g[b1[0],b[1],b[2]] += a[0]*c[1]*c[2]
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g[b[0],b1[1],b[2]] += c[0]*a[1]*c[2]
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g[b1[0],b1[1],b[2]] += a[0]*a[1]*c[2]
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g[b[0],b[1],b1[2]] += c[0]*c[1]*a[2]
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g[b1[0],b[1],b1[2]] += a[0]*c[1]*a[2]
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g[b[0],b1[1],b1[2]] += c[0]*a[1]*a[2]
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g[b1[0],b1[1],b1[2]] += a[0]*a[1]*a[2]
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef void INTERNAL_project_cic_with_mass(npx.ndarray[DTYPE_t, ndim=3] g,
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npx.ndarray[DTYPE_t, ndim=2] x,
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npx.ndarray[DTYPE_t, ndim=1] mass,
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int Ngrid, double Lbox):
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cdef double half_Box = 0.5*Lbox
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cdef double delta_Box = Ngrid/Lbox
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cdef int i
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cdef double a[3], c[3]
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cdef DTYPE_t m0
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cdef int b[3]
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for i in range(x.shape[0]):
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do_not_put = False
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for j in range(3):
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a[j] = (x[i,j]+half_Box)*delta_Box
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b[j] = int(a[j])
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a[j] -= b[j]
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c[j] = 1-a[j]
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if b[j] < 0 or b[j]+1 >= Ngrid:
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do_not_put = True
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if not do_not_put:
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m0 = mass[i]
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g[b[0],b[1],b[2]] += c[0]*c[1]*c[2]*m0
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g[b[0]+1,b[1],b[2]] += a[0]*c[1]*c[2]*m0
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g[b[0],b[1]+1,b[2]] += c[0]*a[1]*c[2]*m0
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g[b[0]+1,b[1]+1,b[2]] += a[0]*a[1]*c[2]*m0
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g[b[0],b[1],b[2]+1] += c[0]*c[1]*a[2]*m0
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g[b[0]+1,b[1],b[2]+1] += a[0]*c[1]*a[2]*m0
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g[b[0],b[1]+1,b[2]+1] += c[0]*a[1]*a[2]*m0
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g[b[0]+1,b[1]+1,b[2]+1] += a[0]*a[1]*a[2]*m0
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@cython.boundscheck(False)
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@cython.cdivision(True)
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cdef void INTERNAL_project_cic_with_mass_periodic(npx.ndarray[DTYPE_t, ndim=3] g,
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npx.ndarray[DTYPE_t, ndim=2] x,
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npx.ndarray[DTYPE_t, ndim=1] mass,
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int Ngrid, double Lbox):
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cdef double half_Box = 0.5*Lbox, m0
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cdef double delta_Box = Ngrid/Lbox
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cdef int i
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cdef double a[3], c[3]
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cdef int b[3], b1[3]
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for i in range(x.shape[0]):
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for j in range(3):
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a[j] = (x[i,j]+half_Box)*delta_Box
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b[j] = int(floor(a[j]))
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b1[j] = b[j]+1
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while b1[j] < 0:
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b1[j] += Ngrid
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while b1[j] >= Ngrid:
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b1[j] -= Ngrid
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a[j] -= b[j]
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c[j] = 1-a[j]
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m0 = mass[i]
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g[b[0],b[1],b[2]] += c[0]*c[1]*c[2]*m0
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g[b1[0],b[1],b[2]] += a[0]*c[1]*c[2]*m0
|
|
g[b[0],b1[1],b[2]] += c[0]*a[1]*c[2]*m0
|
|
g[b1[0],b1[1],b[2]] += a[0]*a[1]*c[2]*m0
|
|
|
|
g[b[0],b[1],b1[2]] += c[0]*c[1]*a[2]*m0
|
|
g[b1[0],b[1],b1[2]] += a[0]*c[1]*a[2]*m0
|
|
g[b[0],b1[1],b1[2]] += c[0]*a[1]*a[2]*m0
|
|
g[b1[0],b1[1],b1[2]] += a[0]*a[1]*a[2]*m0
|
|
|
|
|
|
def project_cic(npx.ndarray[DTYPE_t, ndim=2] x not None, npx.ndarray[DTYPE_t, ndim=1] mass, int Ngrid,
|
|
double Lbox, bool periodic = False):
|
|
"""
|
|
project_cic(x array (N,3), mass (may be None), Ngrid, Lbox, periodict)
|
|
|
|
This function does a Cloud-In-Cell projection of a 3d unstructured dataset. First argument is a Nx3 array of coordinates.
|
|
Second argument is an optinal mass. Ngrid is the size output grid and Lbox is the physical size of the grid.
|
|
"""
|
|
cdef npx.ndarray[DTYPE_t, ndim=3] g
|
|
|
|
if x.shape[1] != 3:
|
|
raise ValueError("Invalid shape for x array")
|
|
|
|
if mass != None and mass.shape[0] != x.shape[0]:
|
|
raise ValueError("Mass array and coordinate array must have the same number of elements")
|
|
|
|
g = np.zeros((Ngrid,Ngrid,Ngrid),dtype=DTYPE)
|
|
|
|
if not periodic:
|
|
if mass == None:
|
|
INTERNAL_project_cic_no_mass(g, x, Ngrid, Lbox)
|
|
else:
|
|
INTERNAL_project_cic_with_mass(g, x, mass, Ngrid, Lbox)
|
|
else:
|
|
if mass == None:
|
|
INTERNAL_project_cic_no_mass_periodic(g, x, Ngrid, Lbox)
|
|
else:
|
|
INTERNAL_project_cic_with_mass_periodic(g, x, mass, Ngrid, Lbox)
|
|
|
|
return g
|
|
|
|
def tophat_fourier_internal(npx.ndarray[DTYPE_t, ndim=1] x not None):
|
|
cdef int i
|
|
cdef npx.ndarray[DTYPE_t] y
|
|
cdef DTYPE_t x0
|
|
|
|
y = np.empty(x.size, dtype=DTYPE)
|
|
|
|
for i in range(x.size):
|
|
x0 = x[i]
|
|
if abs(x0)<1e-5:
|
|
y[i] = 1
|
|
else:
|
|
y[i] = (3*(sin(x0) - x0 * cos(x0))/(x0**3))
|
|
|
|
return y
|
|
|
|
def tophat_fourier(x not None):
|
|
cdef npx.ndarray[DTYPE_t, ndim=1] b
|
|
|
|
if type(x) != np.ndarray:
|
|
raise ValueError("x must be a Numpy array")
|
|
|
|
b = np.array(x, dtype=DTYPE).ravel()
|
|
|
|
b = tophat_fourier_internal(b)
|
|
|
|
return b.reshape(x.shape)
|
|
|
|
|
|
|
|
@cython.boundscheck(False)
|
|
@cython.cdivision(True)
|
|
cdef DTYPE_t cube_integral(DTYPE_t u[3], DTYPE_t u0[3], int r[1]):
|
|
cdef DTYPE_t alpha_max
|
|
cdef DTYPE_t tmp_a
|
|
cdef DTYPE_t v[3]
|
|
cdef int i, j
|
|
|
|
alpha_max = 10.0 # A big number
|
|
|
|
for i in range(3):
|
|
if u[i] == 0.:
|
|
continue
|
|
|
|
if u[i] < 0:
|
|
tmp_a = -u0[i]/u[i]
|
|
else:
|
|
tmp_a = (1-u0[i])/u[i]
|
|
|
|
if tmp_a < alpha_max:
|
|
alpha_max = tmp_a
|
|
j = i
|
|
|
|
for i in range(3):
|
|
u0[i] += u[i]*alpha_max
|
|
|
|
r[0] = j
|
|
|
|
return alpha_max
|
|
|
|
@cython.boundscheck(False)
|
|
@cython.cdivision(True)
|
|
cdef DTYPE_t mysum(DTYPE_t *v, int q) nogil:
|
|
cdef int i
|
|
cdef DTYPE_t s
|
|
|
|
s = 0
|
|
|
|
for i in xrange(q):
|
|
s += v[i]
|
|
return s
|
|
|
|
@cython.boundscheck(False)
|
|
@cython.cdivision(True)
|
|
cdef DTYPE_t cube_integral_trilin(DTYPE_t u[3], DTYPE_t u0[3], int r[1], DTYPE_t vertex_value[8]):
|
|
cdef DTYPE_t alpha_max
|
|
cdef DTYPE_t tmp_a
|
|
cdef DTYPE_t v[3], term[4]
|
|
cdef int i, j, q
|
|
|
|
alpha_max = 10.0 # A big number
|
|
|
|
j = 0
|
|
for i in range(3):
|
|
if u[i] == 0.:
|
|
continue
|
|
|
|
if u[i] < 0:
|
|
tmp_a = -u0[i]/u[i]
|
|
else:
|
|
tmp_a = (1-u0[i])/u[i]
|
|
|
|
if tmp_a < alpha_max:
|
|
alpha_max = tmp_a
|
|
j = i
|
|
|
|
# alpha_max is the integration length
|
|
# we integrate between 0 and alpha_max (curvilinear coordinates)
|
|
|
|
return compute_projection(vertex_value, u, u0, alpha_max)
|
|
|
|
@cython.boundscheck(False)
|
|
def line_of_sight_projection(npx.ndarray[DTYPE_t, ndim=3] density,
|
|
npx.ndarray[DTYPE_t] a_u,
|
|
DTYPE_t min_distance,
|
|
DTYPE_t max_distance):
|
|
|
|
cdef DTYPE_t u[3], ifu0[3], u0[3], utot[3]
|
|
cdef int iu0[3]
|
|
cdef int i
|
|
cdef int N = density.shape[0]
|
|
cdef int half_N = density.shape[0]/2
|
|
cdef int completed
|
|
cdef DTYPE_t I0, d, dist2, delta, s, max_distance2
|
|
cdef int jumper[1]
|
|
|
|
max_distance2 = max_distance**2
|
|
|
|
for i in range(3):
|
|
u[i] = a_u[i]
|
|
u0[i] = a_u[i]*min_distance
|
|
ifu0[i] = half_N+u0[i]
|
|
if (ifu0[i] <= 0 or ifu0[i] >= N):
|
|
return 0
|
|
iu0[i] = int(floor(ifu0[i]))
|
|
u0[i] = ifu0[i]-iu0[i]
|
|
if (not ((iu0[i]>= 0) and (iu0[i] < N))):
|
|
raise RuntimeError("iu0[%d] = %d !!" % (i,iu0[i]))
|
|
if (not (u0[i]>=0 and u0[i]<=1)):
|
|
raise RuntimeError("u0[%d] = %g !" % (i,u0[i]))
|
|
|
|
completed = 0
|
|
if ((int(iu0[0]) >= N) or (int(iu0[0]) <= 0) or
|
|
(int(iu0[1]) >= N) or (int(iu0[1]) <= 0) or
|
|
(int(iu0[2]) >= N) or (int(iu0[2]) <= 0)):
|
|
completed = 1
|
|
|
|
I0 = 0
|
|
jumper[0] = 0
|
|
while completed == 0:
|
|
|
|
d = density[iu0[0], iu0[1], iu0[2]]
|
|
s = cube_integral(u, u0, jumper)
|
|
I0 += s*d
|
|
|
|
if u[jumper[0]] < 0:
|
|
iu0[jumper[0]] -= 1
|
|
u0[jumper[0]] = 1
|
|
else:
|
|
iu0[jumper[0]] += 1
|
|
u0[jumper[0]] = 0
|
|
|
|
|
|
if ((int(iu0[0]) >= N) or (int(iu0[0]) <= 0) or
|
|
(int(iu0[1]) >= N) or (int(iu0[1]) <= 0) or
|
|
(int(iu0[2]) >= N) or (int(iu0[2]) <= 0)):
|
|
completed = 1
|
|
else:
|
|
dist2 = 0
|
|
for i in range(3):
|
|
delta = iu0[i]+u0[i]-half_N
|
|
dist2 += delta*delta
|
|
|
|
if (dist2 > max_distance2):
|
|
# Remove the last portion of the integral
|
|
delta = sqrt(dist2) - max_distance
|
|
I0 -= d*delta
|
|
completed = 1
|
|
|
|
return I0
|
|
|
|
|
|
def spherical_projection(int Nside,
|
|
npx.ndarray[DTYPE_t, ndim=3] density not None,
|
|
DTYPE_t min_distance,
|
|
DTYPE_t max_distance, int progress=1):
|
|
|
|
import healpy as hp
|
|
import progressbar as pb
|
|
cdef int i
|
|
cdef npx.ndarray[DTYPE_t, ndim=1] u
|
|
cdef npx.ndarray[DTYPE_t, ndim=1] outm
|
|
|
|
outm = np.empty(hp.nside2npix(Nside),dtype=DTYPE)
|
|
|
|
if progress:
|
|
p = pb.ProgressBar(maxval=outm.size).start()
|
|
|
|
for i in range(outm.size):
|
|
if progress:
|
|
p.update(i)
|
|
u = np.array(hp.pix2vec(Nside, i), dtype=DTYPE)
|
|
outm[i] = line_of_sight_projection(density, u, min_distance, max_distance)
|
|
|
|
if progress:
|
|
p.finish()
|
|
|
|
|
|
return outm
|