def rfi_gen():
for ind in xrange(NTRIALS):
data = qmtest.real_noise((SIZE, SIZE))
rfi = (np.random.randint(SIZE, size=RFI),
np.random.randint(SIZE, size=RFI))
data[rfi] = NSIG
yield data, rfi
return
def rfi_gen():
for ind in xrange(NTRIALS):
data = qmtest.real_noise((SIZE, SIZE))
xpos, ypos = (np.random.randint(SIZE, size=RFI),
np.random.randint(SIZE, size=RFI))
mask = np.zeros_like(data)
mask[xpos] = 1
mask[:, ypos] = 1
data += mask * NSIG
yield data, np.where(mask)
return
def rfi_gen():
for ind in xrange(NTRIALS):
data = qmtest.real_noise((SIZE, SIZE))
xpos, ypos = (np.random.randint(SIZE - 1, size=RFI),
np.random.randint(SIZE - 1, size=RFI))
xpos = np.concatenate([xpos, xpos, xpos + 1, xpos + 1])
ypos = np.concatenate([ypos, ypos + 1, ypos, ypos + 1])
rfi = (np.array(xpos), np.array(ypos))
data[rfi] = NSIG
yield data, rfi
return
def rfi_gen():
for i in xrange(NTRIALS):
data = qmtest.real_noise((SIZE, SIZE))
x, y = (np.random.randint(SIZE - 1, size=RFI),
np.random.randint(SIZE - 1, size=RFI))
x = np.concatenate([x, x, x + 1, x + 1])
y = np.concatenate([y, y + 1, y, y + 1])
rfi = (np.array(x), np.array(y))
data[rfi] = NSIG
yield data, rfi
return
def rfi_gen():
for ind in xrange(NTRIALS):
sin_t = np.sin(np.linspace(0, 2 * np.pi, SIZE))
sin_t.shape = (-1, 1)
sin_f = np.sin(np.linspace(0, 4 * np.pi, SIZE))
sin_f.shape = (1, -1)
data = 5 * sin_t * sin_f + qmtest.real_noise((SIZE, SIZE))
rfi = (np.random.randint(SIZE, size=RFI),
np.random.randint(SIZE, size=RFI))
data[rfi] = NSIG
yield data, rfi
return