def create_testcase04(): bjd0 = bjd_obs - Tref y_pla = instrument['RV_offset1'] + \ kp.kepler_RV_T0P(bjd0, planet_b['f'], planet_b['P'], planet_b['K'], planet_b['e'], planet_b['o']) + \ kp.kepler_RV_T0P(bjd0, planet_c['f'], planet_c['P'], planet_c['K'], planet_c['e'], planet_c['o']) mod_pl = np.random.normal(y_pla, instrument['RV_precision']) #Tcent_b = kp.kepler_phase2Tc_Tref(planet_b['P'], planet_b['f'], planet_b['e'], planet_b['o']) + Tref Tcent_b = np.random.normal( np.arange(0, 10) * planet_b['P'] + kp.kepler_phase2Tc_Tref( planet_b['P'], planet_b['f'], planet_b['e'], planet_b['o']) + Tref, instrument['T0_precision']) Tcent_c = np.random.normal( np.arange(0, 10) * planet_c['P'] + kp.kepler_phase2Tc_Tref( planet_c['P'], planet_c['f'], planet_c['e'], planet_c['o']) + Tref, instrument['T0_precision']) fileout = open('TestCase04_RV.dat', 'w') for b, r in zip(bjd_obs, mod_pl): fileout.write('{0:f} {1:.2f} {2:.2f} {3:d} {4:d} {5:d}\n'.format( b, r, instrument['RV_precision'], 0, 0, -1)) fileout.close() fileout = open('TestCase04_Tcent_b.dat', 'w') for i_Tc, v_Tc in enumerate(Tcent_b): fileout.write('{0:d} {1:.4f} {2:.4f} {3:d}\n'.format( i_Tc, v_Tc, instrument['T0_precision'], 0)) fileout.close() fileout = open('TestCase04_Tcent_c.dat', 'w') for i_Tc, v_Tc in enumerate(Tcent_c): fileout.write('{0:d} {1:.4f} {2:.4f} {3:d}\n'.format( i_Tc, v_Tc, instrument['T0_precision'], 0)) fileout.close()
def create_testcase07(): import george bjd0 = bjd_obs - Tref err = bjd0 * 0 + instrument['RV_precision'] gp_pams = np.zeros(4) gp_pams[0] = np.log(activity['Hamp_RV1']) * 2 gp_pams[1] = np.log(activity['Pdec']) * 2 gp_pams[2] = 1. / (2 * activity['Oamp']**2) gp_pams[3] = np.log(activity['Prot']) kernel = np.exp(gp_pams[0]) * \ george.kernels.ExpSquaredKernel(metric=np.exp(gp_pams[1])) * \ george.kernels.ExpSine2Kernel(gamma=gp_pams[2], log_period=gp_pams[3]) gp = george.GP(kernel) gp.compute(bjd0, err) prediction1 = gp.sample(bjd0) gp_pams[0] = np.log(activity['Hamp_RV2']) * 2 kernel = np.exp(gp_pams[0]) * \ george.kernels.ExpSquaredKernel(metric=np.exp(gp_pams[1])) * \ george.kernels.ExpSine2Kernel(gamma=gp_pams[2], log_period=gp_pams[3]) gp = george.GP(kernel) gp.compute(bjd0, err) prediction2 = gp.sample(bjd0) y_pla = kp.kepler_RV_T0P(bjd0, planet_b['f'], planet_b['P'], planet_b['K'], planet_b['e'], planet_b['o']) mod_pl1 = np.random.normal(y_pla + prediction1 + instrument['RV_offset1'], instrument['RV_precision']) mod_pl2 = np.random.normal(y_pla + prediction2 + instrument['RV_offset2'], instrument['RV_precision']) Tcent_b = np.random.normal( np.arange(0, 1) * planet_b['P'] + kp.kepler_phase2Tc_Tref( planet_b['P'], planet_b['f'], planet_b['e'], planet_b['o']) + Tref, instrument['T0_precision']) fileout = open('TestCase07_RV_dataset1.dat', 'w') for b, r in zip(bjd_obs, mod_pl1): fileout.write('{0:f} {1:.2f} {2:.2f} {3:d} {4:d} {5:d}\n'.format( b, r, instrument['RV_precision'], 0, 0, -1)) fileout.close() fileout = open('TestCase07_RV_dataset2.dat', 'w') for b, r in zip(bjd_obs, mod_pl2): fileout.write('{0:f} {1:.2f} {2:.2f} {3:d} {4:d} {5:d}\n'.format( b, r, instrument['RV_precision'], 0, 0, -1)) fileout.close() fileout = open('TestCase07_Tcent_b.dat', 'w') for i_Tc, v_Tc in enumerate(Tcent_b): fileout.write('{0:d} {1:.4f} {2:.4f} {3:d}\n'.format( i_Tc, v_Tc, instrument['T0_precision'], 0)) fileout.close()
def create_testcase06(): import george bjd0 = photometry['phot_bjd'] - Tref err = bjd0 * 0 + photometry['phot_precision'] """ Conversion of the physical parameter to the internally defined parameter to be passed to george """ gp_pams = np.zeros(4) gp_pams[0] = np.log(activity['Hamp_PH']) * 2 gp_pams[1] = np.log(activity['Pdec']) * 2 gp_pams[2] = 1. / (2 * activity['Oamp']**2) gp_pams[3] = np.log(activity['Prot']) kernel = np.exp(gp_pams[0]) * \ george.kernels.ExpSquaredKernel(metric=np.exp(gp_pams[1])) * \ george.kernels.ExpSine2Kernel(gamma=gp_pams[2], log_period=gp_pams[3]) gp = george.GP(kernel) gp.compute(bjd0, err) prediction = gp.sample(bjd0) obs_photometry = np.random.normal(prediction, photometry['phot_precision']) fileout = open('TestCase06_photometry.dat', 'w') for b, p in zip(photometry['phot_bjd'], obs_photometry): fileout.write('{0:14f} {1:14f} {2:14f} {3:5d} {4:5d} {5:5d} \n'.format( b, p, photometry['phot_precision'], 0, 0, -1)) fileout.close() bjd0 = bjd_obs - Tref err = bjd0 * 0 + instrument['RV_precision'] gp_pams[0] = np.log(activity['Hamp_RV1']) * 2 kernel = np.exp(gp_pams[0]) * \ george.kernels.ExpSquaredKernel(metric=np.exp(gp_pams[1])) * \ george.kernels.ExpSine2Kernel(gamma=gp_pams[2], log_period=gp_pams[3]) gp = george.GP(kernel) gp.compute(bjd0, err) prediction = gp.sample(bjd0) y_pla = kp.kepler_RV_T0P(bjd0, planet_b['f'], planet_b['P'], planet_b['K'], planet_b['e'], planet_b['o']) + instrument['RV_offset1'] mod_pl = np.random.normal(y_pla + prediction, instrument['RV_precision']) Tcent_b = np.random.normal( np.arange(0, 1) * planet_b['P'] + kp.kepler_phase2Tc_Tref( planet_b['P'], planet_b['f'], planet_b['e'], planet_b['o']) + Tref, instrument['T0_precision']) fileout = open('TestCase06_Tcent_b.dat', 'w') for i_Tc, v_Tc in enumerate(Tcent_b): fileout.write('{0:d} {1:.4f} {2:.4f} {3:d}\n'.format( i_Tc, v_Tc, instrument['T0_precision'], 0)) fileout.close() fileout = open('TestCase06_RV.dat', 'w') for b, r in zip(bjd_obs, mod_pl): fileout.write('{0:f} {1:.2f} {2:.2f} {3:d} {4:d} {5:d}\n'.format( b, r, instrument['RV_precision'], 0, 0, -1)) fileout.close()