def test_blsStrength():
size = 100
width = 10
depth = 1
y = np.zeros(size)
counts = np.ones(size)
y[40:40+width] -= depth
bls = fbls.computeBlsForOnePeriod(y, counts, width, 1)
expectedBls = (depth*width) / (np.sqrt(width))
assert( np.fabs( np.max(bls) - expectedBls) < .01*expectedBls)
mp.plot(bls, 'ko')
mp.axhline(expectedBls, color='r')
def test_blsStrength():
size = 100
width = 10
depth = 1
y = np.zeros(size)
counts = np.ones(size)
y[40:40 + width] -= depth
bls = fbls.computeBlsForOnePeriod(y, counts, width, 1)
expectedBls = (depth * width) / (np.sqrt(width))
assert (np.fabs(np.max(bls) - expectedBls) < .01 * expectedBls)
mp.plot(bls, 'ko')
mp.axhline(expectedBls, color='r')
def phaseAttenuation(period):
#29.771 causes this test to fail because the period is folded to split
#the transit over the end of the folded array
# period = 10 + np.random.rand()*90
size = 10000
sigma = 1
depth = 20
duration = 10
x = np.linspace(0, size, size)
y = sigma * np.random.randn(size)
phase = 25
for i in np.arange(0, size, period):
y[i+phase:i+phase+duration] -= depth
n0 = duration * size/period
expectedMaxBls = (depth*n0) / (sigma*np.sqrt(n0))
isPass = True
mp.clf()
mp.axhline(expectedMaxBls)
for phaseOverResolution in np.arange(1, 8):
nBins = phaseOverResolution * period / duration
nBins = int(np.ceil(nBins))
binnedFlux, counts = fbls.fastFoldAndBin(x, y, period, nBins)
mp.plot(binnedFlux, 'k.-')
transitWidth = phaseOverResolution
expectedAttenuation = 1 - 1/ float(2*phaseOverResolution)
if transitWidth > 0 and transitWidth < len(binnedFlux):
bls = fbls.computeBlsForOnePeriod(binnedFlux, counts,
transitWidth, sigma)
obs = np.max(bls)
expected = expectedMaxBls * expectedAttenuation
if obs < expected:
isPass = False
assert(isPass)
def phaseAttenuation(period):
#29.771 causes this test to fail because the period is folded to split
#the transit over the end of the folded array
# period = 10 + np.random.rand()*90
size = 10000
sigma = 1
depth = 20
duration = 10
x = np.linspace(0, size, size)
y = sigma * np.random.randn(size)
phase = 25
for i in np.arange(0, size, period):
y[i + phase:i + phase + duration] -= depth
n0 = duration * size / period
expectedMaxBls = (depth * n0) / (sigma * np.sqrt(n0))
isPass = True
mp.clf()
mp.axhline(expectedMaxBls)
for phaseOverResolution in np.arange(1, 8):
nBins = phaseOverResolution * period / duration
nBins = int(np.ceil(nBins))
binnedFlux, counts = fbls.fastFoldAndBin(x, y, period, nBins)
mp.plot(binnedFlux, 'k.-')
transitWidth = phaseOverResolution
expectedAttenuation = 1 - 1 / float(2 * phaseOverResolution)
if transitWidth > 0 and transitWidth < len(binnedFlux):
bls = fbls.computeBlsForOnePeriod(binnedFlux, counts, transitWidth,
sigma)
obs = np.max(bls)
expected = expectedMaxBls * expectedAttenuation
if obs < expected:
isPass = False
assert (isPass)
