def time_test_cluster(): from popstar import synthetic as syn from popstar import atmospheres as atm from popstar import evolution from popstar import reddening from popstar.imf import imf from popstar.imf import multiplicity logAge = 6.7 AKs = 2.7 distance = 4000 cluster_mass = 10**4 startTime = time.time() evo = evolution.MergedBaraffePisaEkstromParsec() atm_func = atm.get_merged_atmosphere red_law = reddening.RedLawNishiyama09() filt_list = ['nirc2,J', 'nirc2,Kp'] iso = syn.IsochronePhot(logAge, AKs, distance, evo_model=evo, atm_func=atm_func, red_law=red_law, filters=filt_list) print('Constructed isochrone: %d seconds' % (time.time() - startTime)) imf_limits = np.array([0.07, 0.5, 150]) imf_powers = np.array([-1.3, -2.35]) multi = multiplicity.MultiplicityUnresolved() my_imf = imf.IMF_broken_powerlaw(imf_limits, imf_powers, multiplicity=multi) print('Constructed IMF with multiples: %d seconds' % (time.time() - startTime)) cluster = syn.ResolvedCluster(iso, my_imf, cluster_mass) print('Constructed cluster: %d seconds' % (time.time() - startTime)) return
def model_young_cluster_object(resolved=False): from popstar import synthetic as syn from popstar import atmospheres as atm from popstar import evolution from popstar.imf import imf from popstar.imf import multiplicity log_age = 6.5 AKs = 0.1 distance = 8000.0 cluster_mass = 10000. multi = multiplicity.MultiplicityUnresolved() imf_in = imf.Kroupa_2001(multiplicity=multi) evo = evolution.MergedPisaEkstromParsec() atm_func = atm.get_merged_atmosphere iso = syn.Isochrone(log_age, AKs, distance, evo, mass_sampling=10) if resolved: cluster = syn.ResolvedCluster(iso, imf_in, cluster_mass) else: cluster = syn.UnresolvedCluster(iso, imf_in, cluster_mass, wave_range=[19000, 24000]) # Plot the spectrum of the most massive star idx = cluster.mass_all.argmax() print('Most massive star is {0:f} M_sun.'.format(cluster.mass_all[idx])) #bigstar = cluster.spec_list_trim[idx] plt.figure(1) plt.clf() plt.plot(cluster.spec_list_trim[idx]._wavetable, cluster.spec_list_trim[idx]._fluxtable, 'k.') # Plot an integrated spectrum of the whole cluster. wave, flux = cluster.spec_list_trim[idx]._wavetable, cluster.spec_trim plt.figure(2) plt.clf() plt.plot(wave, flux, 'k.') return
def test_ifmr_multiplicity(): from popstar import synthetic as syn from popstar import atmospheres as atm from popstar import evolution from popstar import reddening from popstar import ifmr from popstar.imf import imf from popstar.imf import multiplicity # Define cluster parameters logAge = 9.7 AKs = 0.0 distance = 1000 cluster_mass = 1e6 mass_sampling = 5 # Test all filters filt_list = ['nirc2,Kp', 'nirc2,H', 'nirc2,J'] startTime = time.time() evo = evolution.MISTv1() atm_func = atm.get_merged_atmosphere ifmr_obj = ifmr.IFMR() red_law = reddening.RedLawNishiyama09() iso = syn.IsochronePhot(logAge, AKs, distance, evo_model=evo, atm_func=atm_func, red_law=red_law, filters=filt_list, mass_sampling=mass_sampling) print('Constructed isochrone: %d seconds' % (time.time() - startTime)) # Now to create the cluster. imf_mass_limits = np.array([0.07, 0.5, 1, np.inf]) imf_powers = np.array([-1.3, -2.3, -2.3]) ########## # Start without multiplicity and IFMR ########## my_imf1 = imf.IMF_broken_powerlaw(imf_mass_limits, imf_powers, multiplicity=None) print('Constructed IMF: %d seconds' % (time.time() - startTime)) cluster1 = syn.ResolvedCluster(iso, my_imf1, cluster_mass, ifmr=ifmr_obj) clust1 = cluster1.star_systems print('Constructed cluster: %d seconds' % (time.time() - startTime)) ########## # Test with multiplicity and IFMR ########## multi = multiplicity.MultiplicityUnresolved() my_imf2 = imf.IMF_broken_powerlaw(imf_mass_limits, imf_powers, multiplicity=multi) print('Constructed IMF with multiples: %d seconds' % (time.time() - startTime)) cluster2 = syn.ResolvedCluster(iso, my_imf2, cluster_mass, ifmr=ifmr_obj) clust2 = cluster2.star_systems comps2 = cluster2.companions print('Constructed cluster with multiples: %d seconds' % (time.time() - startTime)) ########## # Tests ########## # Check that we have black holes, neutron stars, and white dwarfs in both. assert len(np.where(clust1['phase'] == 101)) > 0 # WD assert len(np.where(clust2['phase'] == 101)) > 0 assert len(np.where(clust1['phase'] == 102)) > 0 # NS assert len(np.where(clust2['phase'] == 102)) > 0 assert len(np.where(clust1['phase'] == 103)) > 0 # BH assert len(np.where(clust2['phase'] == 103)) > 0 # Now check that we have companions that are WDs, NSs, and BHs assert len(np.where(comps2['phase'] == 101)) > 0 assert len(np.where(comps2['phase'] == 102)) > 0 assert len(np.where(comps2['phase'] == 103)) > 0 # Make sure no funky phase designations (due to interpolation effects) # slipped through idx = np.where((clust1['phase'] > 5) & (clust1['phase'] < 101) & (clust1['phase'] != 9)) idx2 = np.where((comps2['phase'] > 5) & (comps2['phase'] < 101) & (comps2['phase'] != 9)) assert len(idx[0]) == 0 return
def test_ResolvedCluster(): from popstar import synthetic as syn from popstar import atmospheres as atm from popstar import evolution from popstar import reddening from popstar.imf import imf from popstar.imf import multiplicity # Define cluster parameters logAge = 6.7 AKs = 2.4 distance = 4000 cluster_mass = 10**5. mass_sampling = 5 # Test filters filt_list = ['nirc2,J', 'nirc2,Kp'] startTime = time.time() evo = evolution.MergedBaraffePisaEkstromParsec() atm_func = atm.get_merged_atmosphere red_law = reddening.RedLawNishiyama09() iso = syn.IsochronePhot(logAge, AKs, distance, evo_model=evo, atm_func=atm_func, red_law=red_law, filters=filt_list, mass_sampling=mass_sampling) print('Constructed isochrone: %d seconds' % (time.time() - startTime)) # Now to create the cluster. imf_mass_limits = np.array([0.07, 0.5, 1, np.inf]) imf_powers = np.array([-1.3, -2.3, -2.3]) ########## # Start without multiplicity ########## my_imf1 = imf.IMF_broken_powerlaw(imf_mass_limits, imf_powers, multiplicity=None) print('Constructed IMF: %d seconds' % (time.time() - startTime)) cluster1 = syn.ResolvedCluster(iso, my_imf1, cluster_mass) clust1 = cluster1.star_systems print('Constructed cluster: %d seconds' % (time.time() - startTime)) assert len(clust1) > 0 plt.figure(3) plt.clf() plt.plot(clust1['m_nirc2_J'] - clust1['m_nirc2_Kp'], clust1['m_nirc2_J'], 'r.') plt.plot(iso.points['m_nirc2_J'] - iso.points['m_nirc2_Kp'], iso.points['m_nirc2_J'], 'c.') plt.gca().invert_yaxis() # *** Visual Inspections: *** # - check that points (red) fall between isochrone points (blue) ########## # Test with multiplicity ########## multi = multiplicity.MultiplicityUnresolved() my_imf2 = imf.IMF_broken_powerlaw(imf_mass_limits, imf_powers, multiplicity=multi) print('Constructed IMF with multiples: %d seconds' % (time.time() - startTime)) cluster2 = syn.ResolvedCluster(iso, my_imf2, cluster_mass) clust2 = cluster2.star_systems print('Constructed cluster with multiples: %d seconds' % (time.time() - startTime)) assert len(clust2) > 0 assert len(cluster2.companions) > 0 assert np.sum(clust2['N_companions']) == len(cluster2.companions) ########## # Plots ########## # Plot an IR CMD and compare cluster members to isochrone. plt.figure(1) plt.clf() plt.plot(clust1['m_nirc2_J'] - clust1['m_nirc2_Kp'], clust1['m_nirc2_J'], 'r.') plt.plot(clust2['m_nirc2_J'] - clust2['m_nirc2_Kp'], clust2['m_nirc2_J'], 'b.') plt.plot(iso.points['m_nirc2_J'] - iso.points['m_nirc2_Kp'], iso.points['m_nirc2_J'], 'c-') plt.gca().invert_yaxis() plt.xlabel('J - Kp (mag)') plt.ylabel('J (mag') # Plot a mass-magnitude relationship. plt.figure(2) plt.clf() plt.semilogx(clust1['mass'], clust1['m_nirc2_J'], 'r.') plt.semilogx(clust2['mass'], clust2['m_nirc2_J'], 'r.') plt.gca().invert_yaxis() plt.xlabel('Mass (Msun)') plt.ylabel('J (mag)') # # Plot the spectrum of the most massive star # idx = cluster.mass.argmax() # plt.clf() # plt.plot(cluster.stars[idx].wave, cluster.stars[idx].flux, 'k.') # # Plot an integrated spectrum of the whole cluster. # wave, flux = cluster.get_integrated_spectrum() # plt.clf() # plt.plot(wave, flux, 'k.') return
def test_cluster_mass(): from popstar import synthetic as syn from popstar import atmospheres as atm from popstar import evolution from popstar import reddening from popstar import ifmr from popstar.imf import imf from popstar.imf import multiplicity # Define cluster parameters logAge = 6.7 AKs = 2.4 distance = 4000 cluster_mass = 10**5. mass_sampling = 5 # Test filters filt_list = ['nirc2,J', 'nirc2,Kp'] startTime = time.time() # Define evolution/atmosphere models and extinction law evo = evolution.MISTv1() atm_func = atmospheres.get_merged_atmosphere red_law = reddening.RedLawHosek18b() iso = syn.IsochronePhot(logAge, AKs, distance, evo_model=evo, atm_func=atm_func, red_law=red_law, filters=filt_list, mass_sampling=mass_sampling) print('Constructed isochrone: %d seconds' % (time.time() - startTime)) # Now to create the cluster. imf_mass_limits = np.array([0.2, 0.5, 1, 120.0]) imf_powers = np.array([-1.3, -2.3, -2.3]) # IFMR my_ifmr = ifmr.IFMR() ########## # Start without multiplicity ########## my_imf1 = imf.IMF_broken_powerlaw(imf_mass_limits, imf_powers, multiplicity=None) print('Constructed IMF: %d seconds' % (time.time() - startTime)) cluster1 = syn.ResolvedCluster(iso, my_imf1, cluster_mass, ifmr=my_ifmr) clust1 = cluster1.star_systems print('Constructed cluster: %d seconds' % (time.time() - startTime)) # Check that the total mass is within tolerance of input mass cluster_mass_out = clust1['systemMass'].sum() assert np.abs(cluster_mass_out - cluster_mass) < 200.0 # within 200 Msun of desired mass. print('Cluster Mass: IN = ', cluster_mass, " OUT = ", cluster_mass_out) ########## # Test with multiplicity ########## multi = multiplicity.MultiplicityUnresolved() my_imf2 = imf.IMF_broken_powerlaw(imf_mass_limits, imf_powers, multiplicity=multi) print('Constructed IMF with multiples: %d seconds' % (time.time() - startTime)) cluster2 = syn.ResolvedCluster(iso, my_imf2, cluster_mass, ifmr=my_ifmr) clust2 = cluster2.star_systems print('Constructed cluster with multiples: %d seconds' % (time.time() - startTime)) # Check that the total mass is within tolerance of input mass cluster_mass_out = clust2['systemMass'].sum() assert np.abs(cluster_mass_out - cluster_mass) < 200.0 # within 200 Msun of desired mass. print('Cluster Mass: IN = ', cluster_mass, " OUT = ", cluster_mass_out) return