def v_to_x(v_true, zobs, Dr):
ngal = len(v_true)
OM = 0.31
Dz = cc.dxx_mpch_arr(ngal, zobs, OM)
x = np.log10(Dz/Dr)
return x
def observableEtaTest(mocksFolder):
''' Test Normalising Observed eta to Zero '''
zfile = '/Users/Morag/Cosmology_codes/redshift_OM0.3175.dat'
xArr = []
magArr = []
BFdiffArr = []
# Read in each mock.
# r s i x[Mpc/h] y[Mpc/h] z[Mpc/h] D_c[Mpc/h] RA Dec ztrue zobs vpec[km/s] appJ V_max_sub
for i in range(20):
mockFile = '%svmock_Gz_highbias_c0p6_%s.dat' % (mocksFolder,str(i).zfill(2))
data = np.loadtxt(mockFile, comments='#')
# x[Mpc/h] y[Mpc/h] z[Mpc/h] D_c[Mpc/h] RA Dec vpec[km/s] zobs
g = data[:,[3,4,5,6,7,8,11,10]]
# Calculate true SSBF
trueBF = MLE_BF(g)
# Calulate observable x
x = v_to_x(g[:,6], g[:,7], g[:,3])
# Append x values to g
g = np.column_stack((g, x[:,None]))
# Find galaxies within -20 < Dec < 0
gInC = g[g[:,5]>-20]
# Calculate mean radial velocity within -20 < Dec < 0 circle
meanx = np.mean(gInC[:,8])
# Renormalise all x values in mock to normalise Great Circle to zero
g[:,8] -= meanx
# Convert these back to velocities
OM = 0.31
Dz = cc.dxx_mpch_arr(len(g), g[:,7], OM)
g[:,6] = x_to_v(g[:,8], g[:,7], Dz, zfile)
# Calculate true SSBF
newBF = MLE_BF(g)
BFdiff = newBF-trueBF
print 'Old BF: ', trueBF, ', New BF: ', newBF
print 'Change in BF: ', mag(BFdiff)
magArr.append(mag(BFdiff))
BFdiffArr.append((BFdiff[0],BFdiff[1],BFdiff[2]))
xArr.append(meanx)
xArr = np.array(xArr)
magArr = np.array(magArr)
meanBFdiff = meanVector(BFdiffArr)
print 'Mean radial x in circle: ', np.mean(xArr)
print 'Variance: ',np.var(xArr)
print 'Std: ', np.std(xArr)
print ''
print 'Mean BF diff mag: ', np.mean(magArr)
print 'Std: ', np.std(magArr)
print ''
print 'Mean BF diff: ', meanBFdiff
print 'Mag: ', mag(meanBFdiff)
return
