def test_target_completeness_def(self):
"""
Compare calculated completenesses for multiple targets under default population
settings.
"""
with RedirectStreams(stdout=self.dev_null):
TL = TargetList(ntargs=100, **copy.deepcopy(self.spec))
mode = list(
filter(lambda mode: mode['detectionMode'] == True,
TL.OpticalSystem.observingModes))[0]
IWA = mode['IWA']
OWA = mode['OWA']
rrange = TL.PlanetPopulation.rrange
maxd = (rrange[1] / np.tan(IWA)).to(u.pc).value
mind = (rrange[0] / np.tan(OWA)).to(u.pc).value
#want distances to span from outer edge below IWA to inner edge above OWA
TL.dist = np.logspace(np.log10(mind / 10.), np.log10(maxd * 10.),
TL.nStars) * u.pc
Brown = EXOSIMS.Completeness.BrownCompleteness.BrownCompleteness(
**copy.deepcopy(self.spec))
Garrett = EXOSIMS.Completeness.GarrettCompleteness.GarrettCompleteness(
**copy.deepcopy(self.spec))
cBrown = Brown.target_completeness(TL)
cGarrett = Garrett.target_completeness(TL)
np.testing.assert_allclose(cGarrett, cBrown, rtol=0.1, atol=1e-6)
# test when scaleOrbits == True
TL.L = np.exp(
np.random.uniform(low=np.log(0.1),
high=np.log(10.),
size=TL.nStars))
Brown.PlanetPopulation.scaleOrbits = True
Garrett.PlanetPopulation.scaleOrbits = True
cBrown = Brown.target_completeness(TL)
cGarrett = Garrett.target_completeness(TL)
cGarrett = cGarrett[cBrown != 0]
cBrown = cBrown[cBrown != 0]
meandiff = np.mean(np.abs(cGarrett - cBrown) / cBrown)
self.assertLessEqual(meandiff, 0.1)
def test_target_completeness_scaleOrbits(self):
"""
Compare calculated completenesses for multiple targets with scale orbits set to true
"""
with RedirectStreams(stdout=self.dev_null):
TL = TargetList(ntargs=100,**copy.deepcopy(self.spec))
TL.dist = np.exp(np.random.uniform(low=np.log(1.0), high=np.log(30.), size=TL.nStars))*u.pc
TL.L = np.exp(np.random.uniform(low=np.log(0.1), high=np.log(10.), size=TL.nStars))
Brown = EXOSIMS.Completeness.BrownCompleteness.BrownCompleteness(scaleOrbits=True,**copy.deepcopy(self.spec))
Garrett = EXOSIMS.Completeness.GarrettCompleteness.GarrettCompleteness(scaleOrbits=True,**copy.deepcopy(self.spec))
cBrown = Brown.target_completeness(TL)
cGarrett = Garrett.target_completeness(TL)
cGarrett = cGarrett[cBrown != 0 ]
cBrown = cBrown[cBrown != 0]
meandiff = np.mean(np.abs(cGarrett - cBrown)/cBrown)
self.assertLessEqual(meandiff,0.1)
