def test_multi_evolve_with_dict(self):
EvolvedBinaryBPP, EvolvedBinaryBCM, initCond = Evolve.evolve(
initialbinarytable=INIT_CONDITIONS_NO_BSE_COLUMNS,
BSEDict=BSEDict,
randomseed=523574,
n_per_block=100)
pd.testing.assert_frame_equal(EvolvedBinaryBPP,
BPP_DF,
check_dtype=False,
check_exact=False,
check_less_precise=True)
pd.testing.assert_frame_equal(EvolvedBinaryBCM,
BCM_DF,
check_dtype=False,
check_exact=False,
check_less_precise=True)
def cosmic_sampler(age, Nbin, Z, sigma, random_seed):
"""Creates and evolves a set of binaries with given
age (to evolve to), number of binaries, metallicity, and velocity dispersion.
Will later loop through globular and open clusters and apply this for loop"""
n_grid = Nbin
# Initial (input) binares -- using sampler method from cosmic #1234 - random seed
InitialBinaries, sampled_mass, n_sampled = InitialBinaryTable.sampler('multidim',\
[11], [11], random_seed, 1, 'delta_burst', age, Z, Nbin)
# Inclination and omega values
inc = np.arccos(2. * np.random.uniform(0, 1, Nbin) - 1.)
omega = np.random.uniform(0, 2 * np.pi, Nbin)
OMEGA = np.random.uniform(0, 2 * np.pi, Nbin)
print(InitialBinaries)
# Making Input variables global (for plotting later)
global p_i, m1_i, m2_i, ecc_i, tphysf_i, Z_i
# Input binary params (for plotting later)
p_i = InitialBinaries['porb']
m1_i = InitialBinaries['mass1_binary']
m2_i = InitialBinaries['mass2_binary']
ecc_i = InitialBinaries['ecc']
tphysf_i = InitialBinaries['tphysf']
Z_i = InitialBinaries['metallicity']
# Evolving input binaries
bpp, bcm, initC = Evolve.evolve(initialbinarytable=InitialBinaries,
BSEDict=BSEDict)
# Making returned variables global
global p_f, m1_f, m2_f, ecc_f, tphysf_f, r1_f, r2_f, lum1_f, lum2_f, Teff1, Teff2
# Evolved Binary Params (made global for plotting later, can )
p_f = bcm['porb']
m1_f = bcm['mass_1']
m2_f = bcm['mass_2']
ecc_f = bcm['ecc']
tphysf_f = bcm['tphys']
r1_f = bcm['rad_1']
r2_f = bcm['rad_2']
lum1_f = bcm['lumin_1']
lum2_f = bcm['lumin_2']
Teff1 = bcm['teff_1'] #Effective temperature - just in case
Teff2 = bcm['teff_2']
return bcm
def EvolveBinaries(self):
"""Takes Initial (hard) binaries from above and evolves them"""
#OLD COSMIC (on quest)
#bpp, bcm, initC = Evolve.evolve(initialbinarytable = self.InitialBinaries, BSEDict = self.BSEDict)
#COSMIC v3.3.0
bpp, bcm, initC, kick_info = Evolve.evolve(
initialbinarytable=self.InitialBinaries, BSEDict=self.BSEDict)
self.bpp = bpp
self.bcm = bcm
##################
#we need to grab only the final values at the age of the cluster, and those that are still in binaries
###############
self.bcmEvolved = self.bcm.loc[(self.bcm['tphys'] == self.age)
& (self.bcm['bin_state'] == 0) &
(self.bcm['mass_1'] > 0) &
(self.bcm['mass_2'] > 0)]
#reset index?
self.bcmEvolved.reset_index(drop=True, inplace=True)
def EvolveBinaries(self):
"""Takes Initial (hard) binaries from above and evolves them"""
# BSE dictionary copied from cosmic's documentation (unchanged): https://cosmic-popsynth.github.io
BSEDict = {'xi': 0.5, 'bhflag': 1, 'neta': 0.5, 'windflag': 3, 'wdflag': 0, 'alpha1': 1.0, \
'pts1': 0.001, 'pts3': 0.02, 'pts2': 0.01, 'epsnov': 0.001, 'hewind': 1.0, 'ck': -1000, 'bwind': 0.0, 'lambdaf': 1.0, \
'mxns': 3.0, 'beta': -1.0, 'tflag': 1, 'acc2': 1.5, 'nsflag': 3, 'ceflag': 0, 'eddfac': 1.0, 'merger': 0, 'ifflag': 0, \
'bconst': -3000, 'sigma': 265.0, 'gamma': -2.0, 'ppsn': 1,\
'natal_kick_array' : [-100.0,-100.0,-100.0,-100.0,-100.0,-100.0], 'bhsigmafrac' : 1.0, 'polar_kick_angle' : 90,\
'qcrit_array' : [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0], 'cekickflag' : 0, \
'cehestarflag' : 0, 'cemergeflag' : 0, 'ecsnp' : 2.5, 'ecsn_mlow' : 1.6, 'aic' : 1, 'sigmadiv' :-20.0}
bpp, bcm, initC = Evolve.evolve(
initialbinarytable=self.InitialBinaries, BSEDict=BSEDict)
self.bpp = bpp
self.bcm = bcm
self.bcmEvolved = self.bcm.loc[self.bcm['tphys'] == self.age]
print(self.bcmEvolved)
def cosmic_run(cluster_age, Nbin):
n_grid = Nbin
m1 = np.random.uniform(0.5, 2, 1000)
m2 = np.random.uniform(0.5, 2, 1000)
metal = np.ones(n_grid)
porb = np.random.uniform(0, 1000, 1000)
ecc = np.random.random(1000)
k1 = np.ones(n_grid)
k2 = np.ones(n_grid)
t_p = np.ones(n_grid) * cluster_age
# Initial grid of binaries (input parameters)
binary_grid = InitialBinaryTable.MultipleBinary(m1=m1, m2=m2, \
porb=porb, ecc=ecc, tphysf=t_p,\
kstar1=k1, kstar2=k2, metallicity=metal)
# Setting up variables drawn from initial binary table (binary_grid)
p_i = binary_grid['porb']
m1_i = binary_grid['mass1_binary']
m2_i = binary_grid['mass2_binary']
ecc_i = binary_grid['ecc']
tphysf_i = binary_grid['tphysf']
Z_i = binary_grid['metallicity']
# Using this class to evolve the binaries taken from the initial binary grid
bpp, bcm, initC = Evolve.evolve(initialbinarytable=binary_grid,
BSEDict=BSEDict)
# Setting up variables from evolved binaries (bcm - certain times)
p_f = bcm['porb']
m1_f = bcm['mass_1']
m2_f = bcm['mass_2']
ecc_f = bcm['ecc']
tphysf_f = bcm['tphys']
r1_f = bcm['rad_1']
r2_f = bcm['rad_2']
return bcm
def test_single_evolve_with_dict_and_table(self):
EvolvedBinaryBPP, EvolvedBinaryBCM, initCond, kick_info = Evolve.evolve(
initialbinarytable=INIT_CONDITIONS, BSEDict=BSEDict, randomseed=523574)
pd.testing.assert_frame_equal(EvolvedBinaryBPP, BPP_DF, check_dtype=False, check_exact=False, check_less_precise=True)
pd.testing.assert_frame_equal(EvolvedBinaryBCM, BCM_DF, check_dtype=False, check_exact=False, check_less_precise=True)
def test_single_evolve_with_inifile(self):
EvolvedBinaryBPP, EvolvedBinaryBCM, initCond, kick_info = Evolve.evolve(
initialbinarytable=INIT_CONDITIONS_NO_BSE_COLUMNS, params=PARAMS_INI, randomseed=523574)
pd.testing.assert_frame_equal(EvolvedBinaryBPP, BPP_DF, check_dtype=False, check_exact=False, check_less_precise=True)
pd.testing.assert_frame_equal(EvolvedBinaryBCM, BCM_DF, check_dtype=False, check_exact=False, check_less_precise=True)
final_kstar2 = [10]
# Sampling initial binaries - pulled from cosmic's documentation
InitialBinaries, sampled_mass, n_sampled = InitialBinaryTable.sampler('multidim', [0,14], [0,14], \
2,1, SFH_model='delta_burst', \
component_age=13000.0, met=0.02, size=60000)
# Initial Binary Period Histogram
f, ax = plt.subplots(figsize=(8, 5))
ax.hist(np.log10(p_i), bins=50, color='#CF0A2C')
ax.set_xlabel('Input Periods (log-days)')
ax.grid(None)
f.savefig('/projects/p30137/abowen/CEB/cosmic/plots/InputBinaryHist-60k.png')
# Evolving the binaries
bpp, bcm, initC = Evolve.evolve(initialbinarytable=InitialBinaries,
BSEDict=BSEDict)
# Defining initial and final periods
p_i = InitialBinaries['porb']
p_f = bcm['porb']
# Evolved Binary Histogram - Period
f, ax = plt.subplots(figsize=(8, 5))
ax.hist(np.log10(p_f), bins=50, color='black')
ax.set_xlabel('Evolved periods (log-days)')
ax.grid(None)
f.savefig('/projects/p30137/abowen/CEB/cosmic/plots/EvolvedBinaryHist-60k.png')
# Making copy of bcm for later
EvolvedBinaries = bcm
for bpp_met, initC_met in zip(bpp_mets, initC_mets):
## true/false params for the binary
this_BBH = False
this_BBHm = False
this_HMXB = False
sample_bpp = bpps.iloc[np.where(bpps['metallicity'] == bpp_met)[0]]
sample_initC = initCs.iloc[np.where(
initCs['metallicity'] == initC_met)[0]]
if (sample_initC.shape[0] > 1):
sample_initC = sample_initC.iloc[:-1]
bpp, bcm, initC, kick_info = Evolve.evolve(
initialbinarytable=sample_initC,
timestep_conditions=timestep_conditions)
merger_type = int(bcm['merger_type'].iloc[-1])
bin_state = bcm['bin_state'].iloc[-1]
z_f = sample_bpp['redshift'].iloc[-1]
d_L = (1 + z_f) * cosmo.comoving_distance(z_f).to(
u.cm).value ## luminosity distance, in cm for flux calculation
## "cosmological weight" of the system using comoving volume element
dVdz = cosmo.differential_comoving_volume(z_f)
p_cosmic = dVdz * (1 + z_f)**-1
## get ZAMS masses for the binary
ZAMS_mass_k1 = bpp['mass_1'].iloc[0]
final_kstar1 = [10, 11, 12]
final_kstar2 = [10, 11, 12]
prim_mod = 'kroupa01'
ecc_mod = 'uniform'
porb_mod = 'sana12'
SF_st = 13700.0
SF_d = 0.0
Z = 0.017
num = 10000
InitBin, mass_singles, mass_binaries, n_singles, n_binaries = InitialBinaryTable.sampler(
'independent',
final_kstar1,
final_kstar2,
binfrac_model=0.5,
primary_model=prim_mod,
ecc_model=ecc_mod,
porb_model=porb_mod,
SF_start=SF_st,
SF_duration=SF_d,
met=Z,
size=num)
bpp, bcm, initC, kick = Evolve.evolve(initialbinarytable=InitBin,
BSEDict=BSEDict,
n=8)
bpp.to_hdf('datafile.hdf', key='bpp')
bcm.to_hdf('datafile.hdf', key='bcm')
initC.to_hdf('datafile.hdf', key='bcm')
B = f.create_group('BSEDict')
for key in BSEDict.keys():
f['BSEDict'][key] = BSEDict[key]
f.attrs['COSMIC_git_hash'] = commit_cosmic
f.attrs['LMXB_git_hash'] = commit_lmxb
f.attrs['Nbse'] = run_config.Nbse
f.attrs['Mexp'] = run_config.Mexp
InitialTable = initialize_binary_table(BSE_input)
call('rm ' + BSE_input)
bpp, bcm, initC = Evolve.evolve(initialbinarytable=InitialTable,
BSEDict=BSEDict,
nproc=args.ncores,
idx=int(args.i) * run_config.Nbse)
iloc = np.where((((
(bpp.evol_type == 15) | (bpp.evol_type == 15.5)) & (bpp.kstar_2 < 13))
| (((bpp.evol_type == 16) | (bpp.evol_type == 16.5)) &
(bpp.kstar_1 < 13))) & (bpp.sep > 0))[0]
bpp_preSN = bpp.iloc[iloc]
bin_num = bpp.iloc[iloc].index
initC = initC.set_index('bin_num')
initC_preSN = initC.loc[bin_num]
initC_preSN.to_hdf(INITC_input, key='initC')
preSNbinaries = construct_bse_output(bpp_preSN, initC_preSN)
def EvolveBinaries(cls):
bpp, bcm, initC = Evolve.evolve(initialbinarytable=cls.InitialBinaries,
BSEDict=BSEDict)
# Can print initial binaries if needed
# print('Initial Binaries:')
# print(binary_grid)
# print(' ')
# Setting up variables drawn from initial binary table (binary_grid)
p_i = binary_grid['porb']
m1_i = binary_grid['mass1_binary']
m2_i = binary_grid['mass2_binary']
ecc_i = binary_grid['ecc']
tphysf_i = binary_grid['tphysf']
Z_i = binary_grid['metallicity']
# Using this class to evolve the binaries taken from the initial binary grid
bpp, bcm, initC = Evolve.evolve(initialbinarytable=binary_grid,
BSEDict=BSEDict)
# Printing Evolved binaries
# print('Evolved Binaries:')
# print(bpp, bcm, initC)
print(np.size(bcm))
# Setting up variables from evolved binaries (bcm - certain times)
p_f = bcm['porb']
m1_f = bcm['mass_1']
m2_f = bcm['mass_2']
ecc_f = bcm['ecc']
tphysf_f = bcm['tphys']
r1_f = bcm['rad_1']
r2_f = bcm['rad_2']
print(bcm['radc_1'])
