예제 #1
0
    def compute_harmonic_products(self):    
        """
        This step may prove to be expensive.  If so, insert logic to cache 
        products to and from disk within this function.  
        """
        if not self.Q.flags['C_CONTIGUOUS']:
            self.Q = np.ascontiguousarray(Q)
        if not self.U.flags['C_CONTIGUOUS']:
            self.U = np.ascontiguousarray(U)
        if not self.T.flags['C_CONTIGUOUS']:
            self.T = np.ascontiguousarray(T)
        self.N = np.array(self.Q.shape,dtype = np.int32)

        self.compute_bins()

        self.Qharm = cmbtools.map2harm(self.Q,self.Delta)
        self.Uharm = cmbtools.map2harm(self.U,self.Delta)

        self.Eharm, self.Bharm = cmbtools.QU2EB(self.Qharm,self.Uharm,self.Deltal)
        self.E = cmbtools.harm2map(self.Eharm,self.Delta)
        self.B = cmbtools.harm2map(self.Bharm,self.Delta)
        if self.T is not None:
            self.Tharm = cmbtools.map2harm(self.T,self.Delta)
        if self.H is not None:
            self.Hharm = cmbtools.map2harm(self.H,self.Delta)
        self.ClEE = cmbtools.harm2cl(self.Eharm,self.Deltal,self.lbins)
        self.ClBB = cmbtools.harm2cl(self.Bharm,self.Deltal,self.lbins)
        if self.Hharm is not None:
            self.ClHH= cmbtools.harm2cl(self.Hharm,self.Deltal,self.lbins)
        self.ClTT = cmbtools.harm2cl(self.Tharm,self.Deltal,self.lbins)
        self.ClTE = cmbtools.harm2clcross_samegrid(self.Tharm,self.Eharm,self.Deltal,self.lbins)
        self.ClTB = cmbtools.harm2clcross_samegrid(self.Tharm,self.Bharm,self.Deltal,self.lbins)
        self.ClEB = cmbtools.harm2clcross_samegrid(self.Eharm,self.Bharm,self.Deltal,self.lbins)
def EBfromQU(Q, U, T=None, H=None, BoxSize=1, return_quharm=False):

    if not Q.flags['C_CONTIGUOUS']:
        Q = np.ascontiguousarray(Q)
    if not U.flags['C_CONTIGUOUS']:
        U = np.ascontiguousarray(U)
    if T is not None:
        if not T.flags['C_CONTIGUOUS']:
            T = np.ascontiguousarray(T)
    if H is not None:
        if not H.flags['C_CONTIGUOUS']:
            H = np.ascontiguousarray(H)
    N = array(shape(Q), dtype=int32)
    xsize = 5 * pi / 180 * BoxSize
    size2d = array([xsize, xsize])
    Delta = size2d / N

    print("N = ", N)
    print("Delta = ", Delta)

    Deltal = cmbtools.Delta2l(Delta, N)

    Qharm = cmbtools.map2harm(Q, Delta)
    Uharm = cmbtools.map2harm(U, Delta)

    Eharm, Bharm = cmbtools.QU2EB(Qharm, Uharm, Deltal)

    E = cmbtools.harm2map(Eharm, Delta)
    B = cmbtools.harm2map(Bharm, Delta)
    if return_quharm:
        output = {
            'E': E,
            'B': B,
            'Eh': Eharm,
            'Bh': Bharm,
            'Qh': Qharm,
            'Uh': Uharm,
            'Deltal': Deltal,
            'Delta': Delta
        }
        output['N'] = N
    else:
        output = E, B, Eharm, Bharm

    if T is not None:
        Tharm = cmbtools.map2harm(T, Delta)
        output['Th'] = Tharm
    if H is not None:
        Hharm = cmbtools.map2harm(H, Delta)
        output['Hh'] = Hharm

    return output
예제 #3
0
def Make_other(arr, BoxSize=1):
    N = np.array(arr.shape, dtype=np.int32)
    arr = np.ascontiguousarray(arr, dtype=np.double)
    xsize = N.max()  #5 * np.pi / 180*BoxSize
    size2d = np.array([xsize, xsize])
    Delta = size2d / N
    Deltal = cmbtools.Delta2l(Delta, N)
    harm = cmbtools.map2harm(arr, Delta)
    lmax = Deltal[0] * N[0] / 2
    lbins = np.arange(N[0] // 2 + 1) * Deltal[0]  #np.linspace(0,lmax,N//2)
    lcent = lbins[:-1] + np.diff(lbins) / 2.
    ClBB = cmbtools.harm2cl(harm, Deltal, lbins)
    output = {
        'Delta': Delta,
        'Deltal': Deltal,
        'harm': harm,
        'lbins': lbins,
        'ClBB': ClBB,
        'lmax': lmax
    }
    return output
예제 #4
0
    def PlotQUEBharm(self,frame, style=1):
        self.GetQUEB(frame)

        if style == 0:
            for field in 'QUEB':
                for f in qb.QUEBarr[field]:
                    oot = "%s_%s"%(selfcar.outname,f.split('/')[-1])
                    plt.clf()
                    #Qharm = cmbtools.map2harm(Q,Delta)
                    #Uharm = cmbtools.map2harm(U,Delta)
                    pdb.set_trace()
                    f = plt.imshow(field_hat,interpolation='nearest',origin='lower')
                    plt.colorbar(f)
                    print("did a color")
                    plt.title(oot)
                    plt.savefig(oot+".png")
                    print(oot)
        else:
            for ax in 'xyz':
                outname = 'P49_QUEB_harm_4p_%s_%s.%s'%(self.car.outname,ax,self.plot_format)
                hats = {}
                for field in 'QUEB':
                    arr =  self.QUEBarr[field][ax]
                    Delta = np.array([5*np.pi/180.]*2)/np.array(arr.shape)
                    hats[field] = np.abs(cmbtools.map2harm(arr,Delta))
                    #print(p49_print_tools.nz(hats[field]))
                #print(p49_print_tools.nonzero(hats['Q'][:10,:10]))
                #print(p49_print_tools.nonzero(hats['U'][:10,:10]))
                #print(p49_print_tools.nonzero(hats['E'][:10,:10]))
                #print(p49_print_tools.nonzero(hats['B'][:10,:10]))


                plotter(hats['Q'],
                        hats['U'],
                        hats['E'],
                        hats['B'],
                        outname,norm='positive')
                print("Save %s"%outname)
예제 #5
0
print("N = ", N)
print("Delta = ", Delta)

Deltal = cmbtools.Delta2l(Delta, N)

print("Deltal = ", Deltal)

E = np.zeros(N)
#E = array([[cos(3*2*pi*(i+2*j)/N[1]) for i in range(N[1]) ] for j in range(N[0])])
# + sin(2*pi*i/N[1])

B = np.array([[np.cos(3 * 2 * np.pi * (i + j) / N[1]) for i in range(N[1])]
              for j in range(N[0])])

Eharm = cmbtools.map2harm(E, Delta)
Bharm = cmbtools.map2harm(B, Delta)

Qharm, Uharm = cmbtools.EB2QU(Eharm, Bharm, Deltal)

Q = cmbtools.harm2map(Qharm, Delta)
U = cmbtools.harm2map(Uharm, Delta)

Eharm2, Bharm2 = cmbtools.QU2EB(Qharm, Uharm, Deltal)

E2 = cmbtools.harm2map(Eharm2, Delta)
B2 = cmbtools.harm2map(Bharm2, Delta)

#figure()
plt.clf()
plt.imshow(E, interpolation='nearest')