use dlss for P02 instead of F10

TestEsti.py

@@ -30,16 +30,16 @@ clth = np.array(hp.read_cl('planck_base_planck_2015_TTlowP.fits'))
 Clthshape = zeros(((6,)+shape(clth)[1:]))
 Clthshape[:4] = clth
 clth = Clthshape
-EB = 0.1
+EB = 0.5
 clth[4] = EB*sqrt(clth[1]*clth[2])
-TB = 0.0
+TB = 0.5
 clth[5] = TB*sqrt(clth[0]*clth[2])
 
 lth = arange(2, lmax+1)
-spec = None #['EB']
+# spec = ['TE', 'EB', 'TB']
 temp = True
-polar = False
-corr = False
+polar = True
+corr = True
 pixwin = True
 
 ellbins = arange(2, lmax + 2, deltal)
@@ -51,7 +51,7 @@ nbins = len(ellbins) - 1
 # Create mask
 t, p = hp.pix2ang(nside, range(hp.nside2npix(nside)))
 mask = np.ones(hp.nside2npix(nside), bool)
-# mask[abs(90 - rad2deg(t)) < 30] = False
+mask[abs(90 - rad2deg(t)) < 30] = False
 npix = sum(mask)
 
 fwhm = 0.5
@@ -93,7 +93,7 @@ esti.construct_esti(NoiseVar, NoiseVar)
 fpixw = extrapolpixwin(nside, lmax+2, pixwin=pixwin)
 start = timeit.default_timer()
 for n in np.arange(nsimu):
-    progress_bar(n, nsimu, timeit.default_timer() - start)
+    # progress_bar(n, nsimu, timeit.default_timer() - start)
     cmb = np.array(hp.synfast(clth[:, :len(fpixw)]*(fpixw*bl)**2, nside,
                    pixwin=False, lmax=Slmax, fwhm=deg2rad(fwhm), new=True,
                    verbose=False))
@@ -164,7 +164,7 @@ grid()
 
 show()
 
-savefig("../Plots/Git/"+"test0.png")
+# savefig("../Plots/Git/"+"test0.png")
 
 if __name__ == "__main__":
     """

libcov.py

@@ -12,9 +12,6 @@ import healpy as hp
 import math
 from scipy import special
 
-# from spin_functions import dlss, pl0
-# from spin_functions import F1l2, F2l2
-# from libangles import polrotangle
 from simulation import getstokes
 from simulation import extrapolpixwin
 from xqml_utils import progress_bar
@@ -215,8 +212,9 @@ def compute_PlS(
         if timing:
             progress_bar(i, npi, -0.5 * (start-timeit.default_timer()))
         for j in np.arange(i, npi):
+            cos_chi = allcosang[i, j]
             if temp:
-                pl = norm*pl0(allcosang[i, j], Slmax)[2:]
+                pl = norm*pl0(cos_chi, Slmax)[2:]
                 elem = np.sum((pl * clthn[0]))
                 S[i, j] = elem
                 S[j, i] = elem
@@ -230,7 +228,6 @@ def compute_PlS(
                 jj = j+ponpi
                 cij, sij = polrotangle(rpix[:, i], rpix[:, j])
                 cji, sji = polrotangle(rpix[:, j], rpix[:, i])
-                cos_chi = allcosang[i, j]
 
                 # Tegmark version
                 Q22 = norm * F1l2(cos_chi, Slmax)
@@ -245,9 +242,9 @@ def compute_PlS(
 
                 if TE or TB:
                     # # Matt version
-                    # d20 = -dlss(cos_chi, 2,  0, Slmax)[2:]
-                    # P02 = norm * d20
-                    P02 = -norm * F1l0(cos_chi, Slmax)
+                    d20 = -dlss(cos_chi, 2,  0, Slmax)[2:]
+                    P02 = norm * d20
+                    # P02 = -norm * F1l0(cos_chi, Slmax)
                     elemA = 0
                     elemB = 0
                     elemC = 0