def test_Sigma_dust_sync_betas_temp(self):
NSIDE = 8
MODEL = 'd0s0'
INSTRUMENT = 'litebird'
SIGNAL_TO_NOISE = 10000
UNITS = 'uK_CMB'
sky = pysm.Sky(get_sky(NSIDE, MODEL))
instrument = pysm.Instrument(
get_instrument(INSTRUMENT, NSIDE, units=UNITS))
components = [
cm.Dust(150., temp=20., units=UNITS),
cm.Synchrotron(150., units=UNITS)
]
ref = []
for component in components:
ref += component.defaults
ref = np.array(ref)
with suppress_stdout():
freq_maps, noise_maps = instrument.observe(sky,
write_outputs=False)
signal = freq_maps[:, 0, 0] # Same signal for all the pixels
noise = noise_maps[:, 0]
signal_ver = signal / np.dot(signal, signal)**0.5
noise_std = np.std([np.dot(n, signal_ver) for n in noise.T])
maps = signal_ver * noise_std * SIGNAL_TO_NOISE
maps = maps[:, np.newaxis] + noise
res = basic_comp_sep(components, instrument, maps, nside=NSIDE)
diff = (res.x.T - ref)
postS = np.mean(diff[..., None] * diff[..., None, :], axis=0)
S = res.Sigma.T[0]
aac(postS, S, rtol=1. / NSIDE)
def test_Sigma_dust_one_parameter(self):
NSIDE = 8
MODEL = 'd0'
INSTRUMENT = 'litebird'
SIGNAL_TO_NOISE = 10
sky = pysm.Sky(get_sky(NSIDE, MODEL))
instrument = pysm.Instrument(get_instrument(INSTRUMENT, NSIDE))
components = [cm.Dust(100., temp=20.)]
ref = []
for component in components:
ref += component.defaults
with suppress_stdout():
freq_maps, noise_maps = instrument.observe(sky,
write_outputs=False)
signal = freq_maps[:, 0, 0]
noise = noise_maps[:, 0]
signal_ver = signal / np.dot(signal, signal)**0.5
noise_std = np.std([np.dot(n, signal_ver) for n in noise.T])
maps = signal_ver * noise_std * SIGNAL_TO_NOISE
maps = maps[:, np.newaxis] + noise
res = basic_comp_sep(components,
instrument,
maps,
nside=hp.get_nside(maps))
white = (res.x[0] - ref[0]) / res.Sigma[0, 0]**0.5
_, p = kstest(white, 'norm')
assert p > 0.01
def test_Sigma_dust_sync_betas_temp(self):
NSIDE = 8
MODEL = 'd0s0'
INSTRUMENT = 'LiteBIRD'
SIGNAL_TO_NOISE = 10000
UNITS = 'uK_CMB'
sky = get_sky(NSIDE, MODEL)
instrument = get_instrument(INSTRUMENT)
components = [
cm.Dust(150., temp=20., units=UNITS),
cm.Synchrotron(150., units=UNITS)
]
ref = []
for component in components:
ref += component.defaults
ref = np.array(ref)
freq_maps = get_observation(instrument, sky, unit=UNITS)
noise_maps = get_noise_realization(NSIDE, instrument, unit=UNITS)
signal = freq_maps[:, 0, 0] # Same signal for all the pixels
noise = noise_maps[:, 0]
signal_ver = signal / np.dot(signal, signal)**0.5
noise_std = np.std([np.dot(n, signal_ver) for n in noise.T])
maps = signal_ver * noise_std * SIGNAL_TO_NOISE
maps = maps[:, np.newaxis] + noise
if not hasattr(instrument, 'depth_i'):
instrument['depth_i'] = instrument.depth_p / np.sqrt(2)
res = basic_comp_sep(components, instrument, maps, nside=NSIDE)
diff = (res.x.T - ref)
postS = np.mean(diff[..., None] * diff[..., None, :], axis=0)
S = res.Sigma.T[0]
aac(postS, S, rtol=1. / NSIDE)
def test_Sigma_dust_one_parameter(self):
NSIDE = 8
MODEL = 'd0'
INSTRUMENT = 'LiteBIRD'
SIGNAL_TO_NOISE = 10
sky = get_sky(NSIDE, MODEL)
instrument = get_instrument(INSTRUMENT)
components = [cm.Dust(100., temp=20.)]
ref = []
for component in components:
ref += component.defaults
freq_maps = get_observation(instrument, sky)
noise_maps = get_noise_realization(NSIDE, instrument)
signal = freq_maps[:, 0, 0]
noise = noise_maps[:, 0]
signal_ver = signal / np.dot(signal, signal)**0.5
noise_std = np.std([np.dot(n, signal_ver) for n in noise.T])
maps = signal_ver * noise_std * SIGNAL_TO_NOISE
maps = maps[:, np.newaxis] + noise
if not hasattr(instrument, 'depth_i'):
instrument['depth_i'] = instrument.depth_p / np.sqrt(2)
res = basic_comp_sep(components,
instrument,
maps,
nside=hp.get_nside(maps))
white = (res.x[0] - ref[0]) / res.Sigma[0, 0]**0.5
_, p = kstest(white, 'norm')
assert p > 0.01
def setUp(self):
NSIDE = 16
MODEL = 'c1d0s0f1'
INSTRUMENT = 'LiteBIRD'
X0_FACTOR = 0.99
sky = get_sky(NSIDE, MODEL)
self.instrument = get_instrument(INSTRUMENT)
self.freq_maps = get_observation(self.instrument, sky)
self.components = [cm.CMB(), cm.Dust(200.), cm.Synchrotron(100.)]
freefree = cm.PowerLaw(100.)
freefree.defaults = [-2.14] # Otherwise it is the same as Synchrotron
self.components.append(freefree)
self.input = []
for component in self.components:
self.input += component.defaults
component.defaults = [d * X0_FACTOR for d in component.defaults]
def setUp(self):
self.DX = 5e-4 # NOTE: this is a bit fine-tuned
np.random.seed(0)
self.n_freq = 6
self.nu = np.logspace(1, 2.5, self.n_freq)
self.n_stokes = 3
self.n_pixels = 2
self.components = [cm.CMB(), cm.Dust(200.), cm.Synchrotron(70.)]
self.mm = MixingMatrix(*(self.components))
self.params = [1.54, 20, -3]
self.A = self.mm.eval(self.nu, *(self.params))
self.A_dB = self.mm.diff(self.nu, *(self.params))
self.A_dBdB = self.mm.diff_diff(self.nu, *(self.params))
self.invN = uniform(size=(self.n_pixels, self.n_stokes, self.n_freq,
self.n_freq))
self.invN += _T(self.invN)
self.invN += 10 * np.eye(self.n_freq)
self.invN *= 10
def setUp(self):
NSIDE = 16
MODEL = 'c1d0s0f1'
INSTRUMENT = 'litebird'
X0_FACTOR = 0.99
sky = pysm.Sky(get_sky(NSIDE, MODEL))
self.instrument = pysm.Instrument(get_instrument(INSTRUMENT, NSIDE))
with suppress_stdout():
self.freq_maps, self.noise = self.instrument.observe(
sky, write_outputs=False)
self.components = [cm.CMB(), cm.Dust(200.), cm.Synchrotron(100.)]
freefree = cm.PowerLaw(100.)
freefree.defaults = [-2.14] # Otherwise it is the same as Synchrotron
self.components.append(freefree)
self.input = []
for component in self.components:
self.input += component.defaults
component.defaults = [d * X0_FACTOR for d in component.defaults]