def test_in_transit(): t = np.linspace(-20, 20, 1000) m_planet = np.array([0.3, 0.5]) m_star = 1.45 orbit = KeplerianOrbit( m_star=m_star, r_star=1.5, t0=np.array([0.5, 17.4]), period=np.array([10.0, 5.3]), ecc=np.array([0.1, 0.8]), omega=np.array([0.5, 1.3]), m_planet=m_planet, ) u = np.array([0.2, 0.3, 0.1, 0.5]) r = np.array([0.1, 0.01]) lc = LimbDarkLightCurve(u) model1 = lc.get_light_curve(r=r, orbit=orbit, t=t) model2 = lc.get_light_curve(r=r, orbit=orbit, t=t, use_in_transit=False) vals = theano.function([], [model1, model2])() utt.assert_allclose(*vals) model1 = lc.get_light_curve(r=r, orbit=orbit, t=t, texp=0.1) model2 = lc.get_light_curve(r=r, orbit=orbit, t=t, texp=0.1, use_in_transit=False) vals = theano.function([], [model1, model2])() utt.assert_allclose(*vals)
def test_secondary_eclipse(): u1 = np.array([0.3, 0.2]) lc1 = LimbDarkLightCurve(u1) u2 = np.array([0.4, 0.1]) lc2 = LimbDarkLightCurve(u1) s = 0.3 ror = 0.08 f = ror**2 * s lc = SecondaryEclipseLightCurve(u1, u2, s) t = np.linspace(-6.435, 10.4934, 5000) orbit1 = KeplerianOrbit(period=1.543, t0=-0.123) orbit2 = KeplerianOrbit( period=orbit1.period, t0=orbit1.t0 + 0.5 * orbit1.period, r_star=ror, m_star=1.0, ) y1 = lc1.get_light_curve(orbit=orbit1, r=ror, t=t).eval() y2 = lc2.get_light_curve(orbit=orbit2, r=1.0, t=t).eval() y = lc.get_light_curve(orbit=orbit1, r=ror, t=t).eval() y_expect = (y1 + f * y2) / (1 + f) assert np.allclose(y_expect, y, atol=5e-6)
def test_simple_light_curve_compare_kepler(): t = np.linspace(0.0, 1, 1000) # We use a long period, because at short periods there is a big difference # between a circular orbit and an object moving on a straight line. period = 1000 t0 = 0.5 r = 0.01 r_star = 1 b = 1 - r / r_star * 3 star = LimbDarkLightCurve(0.2, 0.3) orbit_keplerian = KeplerianOrbit(period=period, t0=t0, b=b, r_star=r_star, m_star=1) duration = (period / np.pi) * np.arcsin( ((r_star + r)**2 - (b * r_star)**2)**0.5 / orbit_keplerian.a).eval() lc_keplerian = star.get_light_curve(orbit=orbit_keplerian, r=r, t=t) orbit_simple1 = SimpleTransitOrbit( period=period, t0=t0, b=b, duration=duration, r_star=r_star, ror=r / r_star, ) lc_simple1 = star.get_light_curve(orbit=orbit_simple1, r=r, t=t) # Should look similar to Keplerian orbit assert np.allclose(lc_keplerian.eval(), lc_simple1.eval(), rtol=0.001)
def test_small_star(): pytest.importorskip("batman.transitmodel") from batman.transitmodel import TransitModel, TransitParams u_star = [0.2, 0.1] r = 0.04221468 m_star = 0.151 r_star = 0.189 period = 0.4626413 t0 = 0.2 b = 0.5 ecc = 0.1 omega = 0.1 t = np.linspace(0, period, 500) r_pl = r * r_star orbit = KeplerianOrbit( r_star=r_star, m_star=m_star, period=period, t0=t0, b=b, ecc=ecc, omega=omega, ) a = orbit.a.eval() incl = orbit.incl.eval() lc = LimbDarkLightCurve(u_star[0], u_star[1]) model1 = lc.get_light_curve(r=r_pl, orbit=orbit, t=t) model2 = lc.get_light_curve(r=r_pl, orbit=orbit, t=t, use_in_transit=False) vals = theano.function([], [model1, model2])() assert np.allclose(*vals) params = TransitParams() params.t0 = t0 params.per = period params.rp = r params.a = a / r_star params.inc = np.degrees(incl) params.ecc = ecc params.w = np.degrees(omega) params.u = u_star params.limb_dark = "quadratic" model = TransitModel(params, t) flux = model.light_curve(params) assert np.allclose(vals[0][:, 0], flux - 1)
def test_variable_texp(): t = np.linspace(-20, 20, 1000) m_planet = np.array([0.3, 0.5]) m_star = 1.45 orbit = KeplerianOrbit( m_star=m_star, r_star=1.5, t0=np.array([0.5, 17.4]), period=np.array([10.0, 5.3]), ecc=np.array([0.1, 0.8]), omega=np.array([0.5, 1.3]), m_planet=m_planet, ) u = np.array([0.2, 0.3]) r = np.array([0.1, 0.01]) texp0 = 0.1 lc = LimbDarkLightCurve(u[0], u[1]) model1 = lc.get_light_curve(r=r, orbit=orbit, t=t, texp=texp0, use_in_transit=False) model2 = lc.get_light_curve( r=r, orbit=orbit, t=t, use_in_transit=False, texp=texp0 + np.zeros_like(t), ) vals = theano.function([], [model1, model2])() assert np.allclose(*vals) model1 = lc.get_light_curve(r=r, orbit=orbit, t=t, texp=texp0) model2 = lc.get_light_curve( r=r, orbit=orbit, t=t, texp=texp0 + np.zeros_like(t), use_in_transit=False, ) vals = theano.function([], [model1, model2])() assert np.allclose(*vals)
def test_keplerian_light_curve(): t = np.linspace(50, 1000, 1045) r = np.array([0.04, 0.02]) args = dict( period=[50.0, 87.5], t0=[1.55, 10.6], ecc=[0.28, 0.01], omega=[-4.56, 1.5], m_planet=[0.0, 0.0], b=[0.51, 0.21], m_star=1.51, r_star=1.0, ) orbit0 = KeplerianOrbit(**args) orbit = ReboundOrbit(**args) ld = LimbDarkLightCurve([0.2, 0.3]) lc0 = ld.get_light_curve(orbit=orbit0, r=r, t=t).eval() lc = ld.get_light_curve(orbit=orbit, r=r, t=t).eval() assert np.allclose(lc0, lc)