def reconstructor(map_size, sep, root_dir):
""" Reconstruct the patch epsilon values for different frequencies."""
from hades.params import BICEP
a = BICEP()
import numpy as np
# Load good ids
goodFile = root_dir + '%sdeg%sGoodIDs.npy' % (map_size, sep)
goodIDs = np.load(goodFile)
freqs = np.arange(50, 500, 50)
sig = np.zeros(len(freqs))
meanA = np.zeros(len(freqs))
for fi, f in enumerate(freqs):
# Load data
inDir = root_dir + 'BatchData/f%s_ms%s_s%s_fw%s_np%s_d%s/' % (
f, map_size, sep, a.FWHM, a.noise_power, a.delensing_fraction)
eps = []
A_err = []
A = []
eps_err = []
eps_MC = []
for i in range(len(goodIDs)):
dat = np.load(inDir + '%s.npy' % i)
A.append(dat[0][0])
A_err.append(dat[0][2])
eps.append(dat[5][0])
eps_err.append(dat[5][2])
eps_MC.append(dat[7][5])
A = np.array(A)
A_err = np.array(A_err)
eps = np.array(eps)
eps_err = np.array(eps_err)
patch_eps = np.sum(eps / eps_err**2.) / np.sum(eps_err**-2.)
patch_eps_MC = []
eps_MC = np.array(eps_MC)
for j in range(len(eps_MC[0])):
this_MC = [e[j] for e in eps_MC]
patch_eps_MC.append(
np.sum(this_MC / eps_err**2.) / np.sum(eps_err**-2.))
patch_eps_MC = np.array(patch_eps_MC)
mu = np.mean(patch_eps_MC, axis=0)
std = np.std(patch_eps_MC, axis=0)
sig[fi] = (patch_eps - mu) / std
meanA[fi] = np.sum(A / A_err**2.) / np.sum(1. / A_err**2.)
return freqs, sig, meanA
if __name__ == '__main__':
reMake = True # whether to remake previously created data
from flipper import *
from flipperPol import *
import healpy
import sys
sys.path.append('/data/ohep2/EngelenTools/')
sys.path.append('/data/ohep2/hades/')
from hades.params import BICEP
a = BICEP()
from hades.padded_debiased_wrap import padded_wrap
from hades.batchI2 import I_strength
import aveTools
import numpy as np
p = flipperDict.flipperDict()
p.read_from_file(sys.argv[1])
Ra0Array = p['Ra0Array']
Ra1Array = p['Ra1Array']
Dec0Array = p['Dec0Array']
Dec1Array = p['Dec1Array']
buffer = p['buffer']
if p['mapWidthsDeg'] != a.sep:
raise Exception('Inconsistent separation/map width size')
import os
if not os.path.exists(p['mapDir']):
import numpy as np
from hades.params import BICEP
b = BICEP()
def create_data(NoisePowerLists=b.NoisePowerLists,
setting=b.ComparisonSetting):
""" Script to compute KK estimated anisotropies for the BICEP field using different noise_powers or FWHM.
Powers are defined in NoisePowerLists. (in microK-arcmin)
Setting input defines whether to compare 'FWHM' or 'noise_power'
Output is .npy files in NoiseAnalysis subfolder.
"""
import os
if setting == 'noise_power':
Initial = str(b.noise_power)
comp_list = b.NoisePowerLists
elif setting == 'FWHM':
Initial = str(b.FWHM)
comp_list = b.FWHM_lists
else:
raise Exception('Setting must be noise_power or FWHM')
# Iterate over list
for n in range(len(comp_list)):
## First edit parameter file to change the noise power
with open('hades/params.py', 'r') as f:
filedata = f.read()
