Basic COMPAS data analysis¶

Most of the post-processing material presented here is written in python, and makes extensive use of the numpy package for rapid computation on large data arrays. Here we show two important basics of python/numpy in the context of investigating your COMPAS simulation.

Material¶

1) Inspecting the data ¶

Look at the data to see which parameters are available and check that it matches expectations.

2) Slicing the data ¶

Select specific systems and their parameters using seeds.

3) Visualizing the data ¶

Binning and visualising your data.

[ ]:

For the following sections, you will need to have the following packages installed.¶

`numpy, h5py, time, matplotlib`¶

[1]:

#python libraries
import os, sys
import numpy as np               # for handling arrays
import h5py as h5                # for reading the COMPAS data
import time                      # for finding computation time
import matplotlib.pyplot as plt  #for plotting

# Import COMPAS specific scripts
compas_root_dir = os.environ['COMPAS_ROOT_DIR']
sys.path.append(compas_root_dir + 'compas_python_utils')
from debugging_utils import print_compas_details_dataframe, get_event_history, get_event_strings

# Choose an output hdf5 file to work with
path_to_data = 'COMPAS_Tutorial_Output.h5'

# This is known as an ipython magic command, and allows plots to be produced within the notebook
%matplotlib inline

[ ]:

1. Inspecting the data¶

Often the first thing you want to do with new data is simply to look at it! Getting familiar with the data, including available parameters, size of the data file, etc. will help to inform how best to proceed with the analysis. We provide several useful functions for inspecting the data, print_compas_details_dataframe, get_event_history, and get_event_strings.

–

If you want to create an alternative COMPAS_Output.h5, see Section 1 Working With HDF5, or download some data from our Zenodo database.

Note: These cells may take a long time if you test them on large datasets.

[2]:

data  = h5.File(path_to_data)
print(list(data.keys()))

['BSE_Common_Envelopes', 'BSE_Double_Compact_Objects', 'BSE_RLOF', 'BSE_Supernovae', 'BSE_System_Parameters', 'Run_Details']

The output above represents the event categories available from the particular run. If you used the output produced in the previous tutorial, you should see ['BSE_Common_Envelopes', 'BSE_Double_Compact_Objects', 'BSE_RLOF', 'BSE_Supernovae', 'BSE_System_Parameters', 'Run_Details']. Note that for smaller runs which do not produce any of a particular type of output, the output category will not be created.

Brief description of the categories:

‘BSE_System_Parameters’: Initial state of the binary
‘BSE_RLOF’: Any mass transfer events that occurred within the binary
‘BSE_Common_Envelopes’: If any of the mass transfer events were unstable, details will be included here.
‘BSE_Supernovae’: Parameters and outcome of any supernovae that occurred in the binary
‘BSE_Double_Compact_Objects’: Includes key information of all binaries which end their lives as an intact pair of compact obects (either neutron stars or black holes)
‘Run_Details’: Information on the input settings supplied to the Compas run

To extract the data from these categories, we use the following syntax

[3]:

SPs = data['BSE_System_Parameters']
MTs = data['BSE_RLOF']
CEs = data['BSE_Common_Envelopes']
SNe = data['BSE_Supernovae']
DCs = data['BSE_Double_Compact_Objects']

Each of these is a dictionary mapping parameter names (keys) to an array of values

[4]:

print(SPs.keys())

<KeysViewHDF5 ['CH_on_MS(1)', 'CH_on_MS(2)', 'Eccentricity@ZAMS', 'Equilibrated_At_Birth', 'Error', 'Evolution_Status', 'Mass@ZAMS(1)', 'Mass@ZAMS(2)', 'Merger', 'Merger_At_Birth', 'Metallicity@ZAMS(1)', 'Metallicity@ZAMS(2)', 'Omega@ZAMS(1)', 'Omega@ZAMS(2)', 'PO_Add_Options_To_SysParms', 'PO_Allow_Immediate_RLOF>CE_To_Survive_CE', 'PO_Allow_MS_To_Survive_CE', 'PO_Allow_Non_Stripped_ECSN', 'PO_Allow_RLOF@Birth', 'PO_Allow_Radiative_Envelope_To_Survive_CE', 'PO_Allow_Touching@Birth', 'PO_BB_Mass_xFer_Stblty_Prscrptn', 'PO_BH_Kicks_Mode', 'PO_CE_Alpha', 'PO_CE_Alpha_Thermal', 'PO_CE_Formalism', 'PO_CE_Lambda', 'PO_CE_Lambda_Multiplier', 'PO_CE_Lambda_Prscrptn', 'PO_CE_Mass_Accr_Constant', 'PO_CE_Mass_Accr_Max', 'PO_CE_Mass_Accr_Min', 'PO_CE_Mass_Accr_Prscrptn', 'PO_CE_Recomb_Enrgy_Dnsty', 'PO_CE_Second_Stage_Beta', 'PO_CE_Second_Stage_Gamma_Prescription', 'PO_CE_Slope_Kruckow', 'PO_CHE_Mode', 'PO_Check_Photon_Tiring_Limit', 'PO_Circularise@MT', 'PO_Conserve_AngMom@Circ', 'PO_Cool_WindMassLoss_Multipl', 'PO_Eccentricity', 'PO_Eccentricity_Dstrbtn', 'PO_Eccentricity_Dstrbtn_Max', 'PO_Eccentricity_Dstrbtn_Min', 'PO_Eddington_Accr_Factor', 'PO_Enable_Rotationally_Enhanced_Mass_Loss', 'PO_Enhance_CHE_lifetimes_luminosities', 'PO_Envelope_State_Prscrptn', 'PO_Evolution_Mode', 'PO_FP_Error_Mode', 'PO_Fryer22_crit_COcore_Mass', 'PO_Fryer22_mixing_fraction', 'PO_Fryer_SN_Engine', 'PO_Initial_Mass', 'PO_Initial_Mass(1)', 'PO_Initial_Mass(2)', 'PO_Initial_Mass_Func_Max', 'PO_Initial_Mass_Func_Min', 'PO_Initial_Mass_Func_Power', 'PO_Initial_Mass_Function', 'PO_Kick_Direction_Dstrbtn', 'PO_Kick_Direction_Power', 'PO_Kick_Magnitude', 'PO_Kick_Magnitude(1)', 'PO_Kick_Magnitude(2)', 'PO_Kick_Magnitude_Dstrbtn', 'PO_Kick_Magnitude_Dstrbtn_Max', 'PO_Kick_Magnitude_Random', 'PO_Kick_Magnitude_Random(1)', 'PO_Kick_Magnitude_Random(2)', 'PO_Kick_Mean_Anomaly(1)', 'PO_Kick_Mean_Anomaly(2)', 'PO_Kick_Phi(1)', 'PO_Kick_Phi(2)', 'PO_Kick_Scaling_Factor', 'PO_Kick_Theta(1)', 'PO_Kick_Theta(2)', 'PO_LBV_Factor', 'PO_LBV_Mass_Loss_Prscrptn', 'PO_MCBUR1', 'PO_MM_Kick_Multiplier_BH', 'PO_MM_Kick_Multiplier_NS', 'PO_MM_Sigma_Kick_BH', 'PO_MM_Sigma_Kick_NS', 'PO_MT_Acc_Efficiency_Prscrptn', 'PO_MT_AngMom_Loss_Prscrptn', 'PO_MT_Crit_MR_Giant_Deg_Acc', 'PO_MT_Crit_MR_Giant_NonDeg_Acc', 'PO_MT_Crit_MR_HE_Giant_Deg_Acc', 'PO_MT_Crit_MR_HE_Giant_NonDeg_Acc', 'PO_MT_Crit_MR_HE_HG_Deg_Acc', 'PO_MT_Crit_MR_HE_HG_NonDeg_Acc', 'PO_MT_Crit_MR_HE_MS_Deg_Acc', 'PO_MT_Crit_MR_HE_MS_NonDeg_Acc', 'PO_MT_Crit_MR_HG_Deg_Acc', 'PO_MT_Crit_MR_HG_NonDeg_Acc', 'PO_MT_Crit_MR_MS_High_Mass_Deg_Acc', 'PO_MT_Crit_MR_MS_High_Mass_NonDeg_Acc', 'PO_MT_Crit_MR_MS_Low_Mass_Deg_Acc', 'PO_MT_Crit_MR_MS_Low_Mass_NonDeg_Acc', 'PO_MT_Crit_MR_WD_Deg_Acc', 'PO_MT_Crit_MR_WD_NonDeg_Acc', 'PO_MT_Fraction_Accreted', 'PO_MT_JLoss', 'PO_MT_JLoss_Linear_Frac_Degen', 'PO_MT_JLoss_Linear_Frac_Non_Degen', 'PO_MT_Rejuvenation_Prscrptn', 'PO_MT_Thermal_Limit_C', 'PO_MT_Thermally_Lmtd_Variation', 'PO_Maltsev_Fallback', 'PO_Maltsev_Mode', 'PO_Mass_Loss_Prscrptn', 'PO_Mass_Ratio', 'PO_Mass_Ratio_Dstrbtn', 'PO_Mass_Ratio_Dstrbtn_Max', 'PO_Mass_Ratio_Dstrbtn_Min', 'PO_Max_Donor_Mass', 'PO_Max_Evolution_Time', 'PO_Max_NS_Mass', 'PO_Max_Timesteps', 'PO_Metallicity', 'PO_Metallicity_Dstrbtn', 'PO_Metallicity_Dstrbtn_Max', 'PO_Metallicity_Dstrbtn_Min', 'PO_Min_Sampled_Secondary_Mass', 'PO_NS_ACCRETION_IN_CE', 'PO_NS_EOS', 'PO_Neutrino_Mass_Loss_Assmptn', 'PO_Neutrino_Mass_Loss_Value', 'PO_Orbital_Period', 'PO_Orbital_Period_Dstrbtn', 'PO_Orbital_Period_Max', 'PO_Orbital_Period_Min', 'PO_Overall_WindMassLoss_Multipl', 'PO_PISN_Lower_Limit', 'PO_PISN_Upper_Limit', 'PO_PPI_CO_CORE_SHIFT_HENDRIKS', 'PO_PPI_Lower_Limit', 'PO_PPI_Prscrptn', 'PO_PPI_Upper_Limit', 'PO_Pulsar_Mag_Field_Decay_mScale', 'PO_Pulsar_Mag_Field_Decay_tScale', 'PO_Pulsar_Mag_Field_Dstrbtn', 'PO_Pulsar_Mag_Field_Dstrbtn_Max', 'PO_Pulsar_Mag_Field_Dstrbtn_Min', 'PO_Pulsar_Minimum_Mag_Field', 'PO_Pulsar_Spin_Period_Dstrbtn', 'PO_Pulsar_Spin_Period_Dstrbtn_Max', 'PO_Pulsar_Spin_Period_Dstrbtn_Min', 'PO_Remnant_Mass_Prscrptn', 'PO_Response_To_Spin_Up', 'PO_Rocket_Kick_Magnitude(1)', 'PO_Rocket_Kick_Magnitude(2)', 'PO_Rocket_Kick_Phi(1)', 'PO_Rocket_Kick_Phi(2)', 'PO_Rocket_Kick_Theta(1)', 'PO_Rocket_Kick_Theta(2)', 'PO_Rotational_Frequency', 'PO_Rotational_Frequency(1)', 'PO_Rotational_Frequency(2)', 'PO_Rotational_Velocity_Dstrbtn', 'PO_SEED(CMDLINE)', 'PO_SEED(OPTION)', 'PO_Scale_CHE_Mass_Loss_Surf_He_Abundance', 'PO_Scale_Terminal_Wind_Vel_Metallicity_Power', 'PO_Semi-Major_Axis', 'PO_Semi-Major_Axis_Dstrbtn', 'PO_Semi-Major_Axis_Dstrbtn_Max', 'PO_Semi-Major_Axis_Dstrbtn_Min', 'PO_Sigma_Kick_CCSN_BH', 'PO_Sigma_Kick_CCSN_NS', 'PO_Sigma_Kick_ECSN', 'PO_Sigma_Kick_USSN', 'PO_Stellar_Zeta_Prscrptn', 'PO_Tides_Prscrptn', 'PO_USSN_Kicks_Override_Mandel_Muller', 'PO_WR_Factor', 'PO_Zeta_Adiabatic_Arbitrary', 'PO_Zeta_Main_Sequence', 'PO_Zeta_Radiative_Envelope_Giant', 'PO_qCrit_Prescription', 'Record_Type', 'SEED', 'SN_Kick_Magnitude_Random_Number(1)', 'SN_Kick_Magnitude_Random_Number(2)', 'SemiMajorAxis@ZAMS', 'Stellar_Type(1)', 'Stellar_Type(2)', 'Stellar_Type@ZAMS(1)', 'Stellar_Type@ZAMS(2)', 'Unbound']>

One of the most important parameters in the COMPAS output is the system seed. The seed represents the unique identifier to a specific system in a simulation. It is also used as the seed value in random number generation, which is useful when trying to reproduce a given system identically.

If we want to view the random seeds in the system parameters file, we run

[5]:

seeds_SP = SPs['SEED'][()]
print(seeds_SP)

[  47   50   57   66   78   99  120  166  167  211  291  312  332  347
  351  386  390  418  429  435  451  483  504  567  610  635  655  673
  688  702  725  750  799  826  893  897  902  910  931  935  958  987
  993  994 1036 1050 1053 1080 1090 1095 1099 1124 1126 1135 1183 1187
 1206 1207 1216 1217 1268 1269 1282 1297 1309 1310 1341 1347 1374 1375
 1377 1385 1406 1410 1441 1449 1486 1491 1492 1506 1509 1511 1537 1543
 1596 1599 1628 1638 1657 1663 1672 1677 1690 1691 1724 1744 1766 1774
 1847 1867 1875 1918 1944 1966 1989 1993 2009 2029 2047 2050 2064 2075
 2085 2102 2111 2112 2122 2132 2146 2178 2180 2184 2208 2216 2218 2224
 2231 2244 2270 2288 2291 2310 2315 2333 2350 2355 2384 2395 2426 2446
 2451 2457 2465 2562 2633 2638 2659 2695 2710 2734 2743 2746 2748 2795
 2827 2835 2850 2891 2913 2915 2960 2981 2984 2987 3044 3050 3058 3078
 3090 3093 3103 3110 3156 3220 3221 3255 3272 3301 3338 3354 3356 3404
 3419 3422 3436 3449 3550 3581 3594 3599 3616 3639 3651 3656 3674 3706
 3777 3778 3788 3877 3885 3888 3907 3933 3963 4010 4052 4055 4077 4172
 4175 4196 4209 4227 4235 4240 4279 4291 4326 4328 4339 4364 4370 4376
 4396 4409 4410 4434 4494 4512 4531 4613 4618 4660 4669 4672 4706 4727
 4741 4834 4845 4849 4856 4878 4889 4929 4948 4980 5016 5043 5045 5047
 5103 5104 5193 5210 5215 5229 5259 5286 5298 5301 5312 5324 5362 5405
 5424 5428 5444 5474 5494 5518 5523 5531 5549 5564 5569 5573 5575 5581
 5599 5614 5692 5719 5797 5839 5842 5847 5848 5854 5871 5893 5918 5945
 5994 6020 6023 6026 6072 6119 6225 6249 6271 6286 6303 6358 6361 6363
 6376 6383 6409 6456 6489 6516 6535 6550 6557 6633 6639 6640 6694 6712
 6749 6760 6869 6870 6871 6884 6958 7012 7025 7069 7129 7165 7169 7229
 7263 7293 7326 7340 7384 7393 7407 7441 7448 7507 7565 7585 7587 7639
 7679 7687 7702 7726 7730 7761 7778 7808 7828 7892 7906 7912 7917 7919
 7931 8009 8063 8077 8110 8117 8129 8148 8192 8256 8269 8290 8323 8333
 8346 8397 8408 8442 8490 8504 8577 8591 8598 8609 8623 8667 8684 8690
 8753 8778 8779 8823 8841 8844 8847 8856 8875 8896 8917 8928 8951 8976
 8987 9052 9086 9123 9151 9167 9169 9176 9193 9248 9261 9317 9325 9335
 9340 9358 9368 9391 9393 9405 9410 9423 9424 9428 9455 9473 9487 9506
 9512 9526 9528 9543 9547 9555 9580 9608 9647 9709 9730 9736 9762 9768
 9782 9803 9810 9876 9984 9991]

print_compas_details_dataframe¶

This is useful for extracting the arrays of single parameters, but for a more convenient view of the whole system parameters file, we can use the print_compas_details_dataframe function.

[6]:

print_compas_details_dataframe(SPs) # Note - the output of this is a pandas dataframe

[6]:

SEED	(units)	47	50	57	66	78	99	120	166	167	...	9730	9736	9762	9768	9782	9803	9810	9876	9984	9991
CH_on_MS(1)	State	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
CH_on_MS(2)	State	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
Eccentricity@ZAMS	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
Equilibrated_At_Birth	Event	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
Error	-	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	0.000000e+00	4.300000e+01	...	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01	4.300000e+01
Evolution_Status	-	1.400000e+01	1.700000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.700000e+01	1.700000e+01	1.700000e+01	1.400000e+01	...	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.700000e+01	1.400000e+01	1.700000e+01	1.400000e+01	1.400000e+01	1.400000e+01
Mass@ZAMS(1)	Msol	3.556066e+01	4.543270e+01	3.700158e+01	3.202437e+01	1.086794e+02	6.679442e+01	4.843938e+01	2.909171e+01	5.400765e+01	...	1.160750e+02	1.472929e+02	7.720723e+01	1.014252e+02	3.369192e+01	6.551354e+01	7.323444e+01	5.922971e+01	3.347569e+01	3.710024e+01
Mass@ZAMS(2)	Msol	2.308265e+01	1.881437e+01	2.993533e+01	2.436518e+01	9.052154e+01	2.034867e+01	4.769970e+01	1.755651e+01	2.731660e+01	...	7.476712e+01	5.640909e+01	6.943125e+01	9.857720e+01	1.919988e+01	5.452763e+01	5.781601e+01	2.755450e+01	2.584641e+01	2.743138e+01
Merger	Event	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
Merger_At_Birth	Event	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
Metallicity@ZAMS(1)	-	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	...	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02
Metallicity@ZAMS(2)	-	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	...	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02
Omega@ZAMS(1)	Hz	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
Omega@ZAMS(2)	Hz	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Add_Options_To_SysParms	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Allow_Immediate_RLOF>CE_To_Survive_CE	Flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Allow_MS_To_Survive_CE	Flag	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Allow_Non_Stripped_ECSN	Flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Allow_RLOF@Birth	Flag	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Allow_Radiative_Envelope_To_Survive_CE	Flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Allow_Touching@Birth	Flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_BB_Mass_xFer_Stblty_Prscrptn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_BH_Kicks_Mode	-	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	...	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00
PO_CE_Alpha	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_CE_Alpha_Thermal	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_CE_Formalism	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_CE_Lambda	-	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	...	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01
PO_CE_Lambda_Multiplier	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_CE_Lambda_Prscrptn	-	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	...	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00
PO_CE_Mass_Accr_Constant	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_CE_Mass_Accr_Max	Msol	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	...	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01
PO_CE_Mass_Accr_Min	Msol	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	...	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02	4.000000e-02
PO_CE_Mass_Accr_Prscrptn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_CE_Recomb_Enrgy_Dnsty	erg g^-1	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	...	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13	1.500000e+13
PO_CE_Second_Stage_Beta	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_CE_Second_Stage_Gamma_Prescription	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_CE_Slope_Kruckow	-	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	...	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01	-8.333333e-01
PO_CHE_Mode	-	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	...	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00
PO_Check_Photon_Tiring_Limit	Flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Circularise@MT	Flag	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Conserve_AngMom@Circ	Flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Cool_WindMassLoss_Multipl	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Eccentricity	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Eccentricity_Dstrbtn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Eccentricity_Dstrbtn_Max	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Eccentricity_Dstrbtn_Min	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Eddington_Accr_Factor	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Enable_Rotationally_Enhanced_Mass_Loss	Flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Enhance_CHE_lifetimes_luminosities	Flag	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Envelope_State_Prscrptn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Evolution_Mode	Mode	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_FP_Error_Mode	Mode	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Fryer22_crit_COcore_Mass	Msol	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	...	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00	5.750000e+00
PO_Fryer22_mixing_fraction	-	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	...	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01
PO_Fryer_SN_Engine	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Initial_Mass	Msol	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	...	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00
PO_Initial_Mass(1)	Msol	3.556066e+01	4.543270e+01	3.700158e+01	3.202437e+01	1.086794e+02	6.679442e+01	4.843938e+01	2.909171e+01	5.400765e+01	...	1.160750e+02	1.472929e+02	7.720723e+01	1.014252e+02	3.369192e+01	6.551354e+01	7.323444e+01	5.922971e+01	3.347569e+01	3.710024e+01
PO_Initial_Mass(2)	Msol	2.308265e+01	1.881437e+01	2.993533e+01	2.436518e+01	9.052154e+01	2.034867e+01	4.769970e+01	1.755651e+01	2.731660e+01	...	7.476712e+01	5.640909e+01	6.943125e+01	9.857720e+01	1.919988e+01	5.452763e+01	5.781601e+01	2.755450e+01	2.584641e+01	2.743138e+01
PO_Initial_Mass_Func_Max	Msol	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	...	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02	1.500000e+02
PO_Initial_Mass_Func_Min	Msol	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	...	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00
PO_Initial_Mass_Func_Power	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Initial_Mass_Function	-	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	...	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00
PO_Kick_Direction_Dstrbtn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Kick_Direction_Power	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Kick_Magnitude	kms^-1	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Kick_Magnitude(1)	kms^-1	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Kick_Magnitude(2)	kms^-1	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Kick_Magnitude_Dstrbtn	-	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	...	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00	7.000000e+00
PO_Kick_Magnitude_Dstrbtn_Max	-	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	...	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00
PO_Kick_Magnitude_Random	-	1.134885e-01	4.946016e-01	8.734964e-02	1.542876e-01	4.818122e-02	6.722786e-01	6.779555e-01	2.977390e-01	8.983790e-01	...	7.968624e-01	6.097018e-03	2.460639e-02	7.942266e-01	7.011575e-01	9.682816e-01	6.989359e-01	1.636023e-01	4.879641e-01	9.512867e-01
PO_Kick_Magnitude_Random(1)	-	8.517575e-01	1.291746e-01	6.119413e-01	1.954023e-01	8.873330e-01	7.225397e-01	3.655495e-01	1.716843e-01	7.691054e-01	...	7.736855e-01	9.238079e-01	5.326942e-01	2.841789e-01	7.567504e-01	1.788758e-01	7.047235e-01	5.464135e-01	4.078761e-01	9.058226e-01
PO_Kick_Magnitude_Random(2)	-	9.744831e-01	2.280831e-01	2.304771e-01	1.336996e-01	6.809630e-01	4.880784e-01	5.129588e-01	8.272771e-01	1.651155e-01	...	9.626757e-02	3.149589e-02	1.391047e-01	1.645512e-01	9.288414e-01	7.211846e-02	6.991625e-01	6.206222e-01	6.084802e-02	3.175806e-01
PO_Kick_Mean_Anomaly(1)	-	5.715629e+00	4.673220e-01	4.133474e+00	1.707524e+00	3.602512e+00	5.227284e+00	6.263580e+00	2.049966e+00	6.915811e-01	...	5.815212e+00	2.576823e+00	2.631786e+00	5.964325e+00	5.775637e+00	6.252081e+00	4.094170e+00	4.826073e+00	3.629195e+00	5.161410e+00
PO_Kick_Mean_Anomaly(2)	-	4.578775e+00	1.605190e+00	2.582773e+00	2.278820e+00	5.018355e+00	5.186739e+00	3.918859e+00	4.809064e+00	2.185693e+00	...	6.026862e+00	1.129593e+00	4.312090e-01	4.840252e+00	4.016695e+00	4.957820e+00	5.099801e+00	5.661975e+00	7.059496e-01	4.531014e+00
PO_Kick_Phi(1)	-	2.337743e+00	1.346878e-01	4.413584e+00	2.054273e+00	2.045810e+00	4.404570e+00	3.709338e+00	1.024273e+00	6.038347e+00	...	9.481816e-01	1.525122e+00	3.186094e+00	5.139250e+00	5.208888e+00	2.492116e+00	2.937741e+00	1.617013e+00	5.391465e+00	3.954142e+00
PO_Kick_Phi(2)	-	5.024064e+00	6.261661e+00	3.424736e+00	1.578401e+00	2.789859e+00	3.553879e+00	5.974460e+00	3.744484e+00	6.077372e+00	...	1.809526e+00	5.582007e+00	1.756833e+00	3.992025e+00	5.854864e+00	3.316797e+00	4.733451e+00	6.069701e-01	5.413273e+00	2.711894e+00
PO_Kick_Scaling_Factor	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Kick_Theta(1)	-	-3.016168e-01	-2.088553e-01	-3.881045e-01	3.663583e-01	6.437726e-01	-1.214248e+00	-4.573101e-02	-1.242980e+00	-4.700648e-01	...	9.176354e-01	-3.368443e-01	-1.376918e-01	-4.555182e-01	-1.108064e+00	2.477324e-01	-1.643091e-01	5.621354e-01	-3.750950e-01	-9.295295e-01
PO_Kick_Theta(2)	-	1.274826e+00	-7.692527e-01	6.591573e-01	9.435435e-01	5.483055e-01	-6.603253e-01	6.739612e-02	-5.427437e-01	1.408078e-01	...	-1.507629e+00	6.011375e-01	-3.561846e-01	-6.119286e-02	-4.145578e-01	1.438270e-01	-4.233039e-01	-9.570608e-01	-9.864263e-01	8.666619e-02
PO_LBV_Factor	-	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	...	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00	1.500000e+00
PO_LBV_Mass_Loss_Prscrptn	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_MCBUR1	Msol	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	...	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00
PO_MM_Kick_Multiplier_BH	-	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	...	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02	2.000000e+02
PO_MM_Kick_Multiplier_NS	-	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	...	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02	6.300000e+02
PO_MM_Sigma_Kick_BH	-	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	...	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01
PO_MM_Sigma_Kick_NS	-	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	...	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01	4.500000e-01
PO_MT_Acc_Efficiency_Prscrptn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_MT_AngMom_Loss_Prscrptn	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_MT_Crit_MR_Giant_Deg_Acc	-	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	...	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01
PO_MT_Crit_MR_Giant_NonDeg_Acc	-	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	...	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00	-1.000000e+00
PO_MT_Crit_MR_HE_Giant_Deg_Acc	-	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	...	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01	8.700000e-01
PO_MT_Crit_MR_HE_Giant_NonDeg_Acc	-	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	...	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00	1.280000e+00
PO_MT_Crit_MR_HE_HG_Deg_Acc	-	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	...	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01
PO_MT_Crit_MR_HE_HG_NonDeg_Acc	-	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	...	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01
PO_MT_Crit_MR_HE_MS_Deg_Acc	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_MT_Crit_MR_HE_MS_NonDeg_Acc	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_MT_Crit_MR_HG_Deg_Acc	-	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	...	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01	2.100000e-01
PO_MT_Crit_MR_HG_NonDeg_Acc	-	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	...	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01	2.500000e-01
PO_MT_Crit_MR_MS_High_Mass_Deg_Acc	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_MT_Crit_MR_MS_High_Mass_NonDeg_Acc	-	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	...	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01	6.250000e-01
PO_MT_Crit_MR_MS_Low_Mass_Deg_Acc	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_MT_Crit_MR_MS_Low_Mass_NonDeg_Acc	-	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	...	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00	1.440000e+00
PO_MT_Crit_MR_WD_Deg_Acc	-	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	...	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00	1.600000e+00
PO_MT_Crit_MR_WD_NonDeg_Acc	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_MT_Fraction_Accreted	-	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	...	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01
PO_MT_JLoss	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_MT_JLoss_Linear_Frac_Degen	-	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	...	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01
PO_MT_JLoss_Linear_Frac_Non_Degen	-	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	...	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01
PO_MT_Rejuvenation_Prscrptn	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_MT_Thermal_Limit_C	-	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	...	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01
PO_MT_Thermally_Lmtd_Variation	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Maltsev_Fallback	-	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	...	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01	5.000000e-01
PO_Maltsev_Mode	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Mass_Loss_Prscrptn	-	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	...	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00	3.000000e+00
PO_Mass_Ratio	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Mass_Ratio_Dstrbtn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Mass_Ratio_Dstrbtn_Max	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Mass_Ratio_Dstrbtn_Min	-	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	...	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02
PO_Max_Donor_Mass	Msol	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	...	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00
PO_Max_Evolution_Time	Myr	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	...	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04	1.402128e+04
PO_Max_NS_Mass	Msol	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	...	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00	2.500000e+00
PO_Max_Timesteps	Count	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	...	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04	9.999900e+04
PO_Metallicity	-	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	...	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02	1.420000e-02
PO_Metallicity_Dstrbtn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Metallicity_Dstrbtn_Max	-	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	...	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02	3.000000e-02
PO_Metallicity_Dstrbtn_Min	-	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	...	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04	1.000000e-04
PO_Min_Sampled_Secondary_Mass	Msol	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	...	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01
PO_NS_ACCRETION_IN_CE	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_NS_EOS	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Neutrino_Mass_Loss_Assmptn	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Neutrino_Mass_Loss_Value	-	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	...	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01
PO_Orbital_Period	days	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	...	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01	1.000000e-01
PO_Orbital_Period_Dstrbtn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Orbital_Period_Max	days	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	...	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03
PO_Orbital_Period_Min	days	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	...	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00	1.100000e+00
PO_Overall_WindMassLoss_Multipl	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_PISN_Lower_Limit	Msol	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	...	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01
PO_PISN_Upper_Limit	Msol	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	...	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02	1.350000e+02
PO_PPI_CO_CORE_SHIFT_HENDRIKS	Msol	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_PPI_Lower_Limit	Msol	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	...	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01	3.500000e+01
PO_PPI_Prscrptn	-	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	...	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00
PO_PPI_Upper_Limit	Msol	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	...	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01	6.000000e+01
PO_Pulsar_Mag_Field_Decay_mScale	Msol	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	...	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02	2.500000e-02
PO_Pulsar_Mag_Field_Decay_tScale	Myr	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	...	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03
PO_Pulsar_Mag_Field_Dstrbtn	-	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	...	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00
PO_Pulsar_Mag_Field_Dstrbtn_Max	AU	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	...	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01	1.300000e+01
PO_Pulsar_Mag_Field_Dstrbtn_Min	AU	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	...	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01	1.100000e+01
PO_Pulsar_Minimum_Mag_Field	Gauss	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	...	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00	8.000000e+00
PO_Pulsar_Spin_Period_Dstrbtn	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Pulsar_Spin_Period_Dstrbtn_Max	AU	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	...	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02	1.000000e+02
PO_Pulsar_Spin_Period_Dstrbtn_Min	AU	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	...	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01	1.000000e+01
PO_Remnant_Mass_Prscrptn	-	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	...	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00	5.000000e+00
PO_Response_To_Spin_Up	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rocket_Kick_Magnitude(1)	kms^-1	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rocket_Kick_Magnitude(2)	kms^-1	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rocket_Kick_Phi(1)	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rocket_Kick_Phi(2)	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rocket_Kick_Theta(1)	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rocket_Kick_Theta(2)	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rotational_Frequency	Hz	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rotational_Frequency(1)	Hz	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rotational_Frequency(2)	Hz	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Rotational_Velocity_Dstrbtn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_SEED(CMDLINE)	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_SEED(OPTION)	-	4.700000e+01	5.000000e+01	5.700000e+01	6.600000e+01	7.800000e+01	9.900000e+01	1.200000e+02	1.660000e+02	1.670000e+02	...	9.730000e+03	9.736000e+03	9.762000e+03	9.768000e+03	9.782000e+03	9.803000e+03	9.810000e+03	9.876000e+03	9.984000e+03	9.991000e+03
PO_Scale_CHE_Mass_Loss_Surf_He_Abundance	flag	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Scale_Terminal_Wind_Vel_Metallicity_Power	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Semi-Major_Axis	AU	9.502720e-01	1.055389e+02	2.715159e+00	5.614845e+02	6.788714e+00	7.738051e+00	5.787191e+02	1.581269e+00	1.065930e+00	...	1.707052e+01	4.231234e+02	3.857564e-01	5.104579e+02	6.857329e+01	1.378730e+01	6.674630e+01	4.413280e+02	3.614081e+01	1.369833e+00
PO_Semi-Major_Axis_Dstrbtn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Semi-Major_Axis_Dstrbtn_Max	AU	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	...	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03	1.000000e+03
PO_Semi-Major_Axis_Dstrbtn_Min	AU	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	...	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02	1.000000e-02
PO_Sigma_Kick_CCSN_BH	kms^-1	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	...	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02
PO_Sigma_Kick_CCSN_NS	kms^-1	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	...	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02	2.170000e+02
PO_Sigma_Kick_ECSN	kms^-1	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	...	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01
PO_Sigma_Kick_USSN	kms^-1	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	...	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01	3.000000e+01
PO_Stellar_Zeta_Prscrptn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_Tides_Prscrptn	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_USSN_Kicks_Override_Mandel_Muller	flag	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
PO_WR_Factor	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
PO_Zeta_Adiabatic_Arbitrary	-	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	...	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04	1.000000e+04
PO_Zeta_Main_Sequence	-	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	...	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00	2.000000e+00
PO_Zeta_Radiative_Envelope_Giant	-	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	...	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00	6.500000e+00
PO_qCrit_Prescription	-	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00
Record_Type	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
SN_Kick_Magnitude_Random_Number(1)	-	8.517575e-01	1.291746e-01	6.119413e-01	1.954023e-01	8.873330e-01	7.225397e-01	3.655495e-01	1.716843e-01	7.691054e-01	...	7.736855e-01	9.238079e-01	5.326942e-01	2.841789e-01	7.567504e-01	1.788758e-01	7.047235e-01	5.464135e-01	4.078761e-01	9.058226e-01
SN_Kick_Magnitude_Random_Number(2)	-	9.744831e-01	2.280831e-01	2.304771e-01	1.336996e-01	6.809630e-01	4.880784e-01	5.129588e-01	8.272771e-01	1.651155e-01	...	9.626757e-02	3.149589e-02	1.391047e-01	1.645512e-01	9.288414e-01	7.211846e-02	6.991625e-01	6.206222e-01	6.084802e-02	3.175806e-01
SemiMajorAxis@ZAMS	AU	9.502720e-01	1.055389e+02	2.715159e+00	5.614845e+02	6.788714e+00	7.738051e+00	5.787191e+02	1.581269e+00	1.065930e+00	...	1.707052e+01	4.231234e+02	3.857564e-01	5.104579e+02	6.857329e+01	1.378730e+01	6.674630e+01	4.413280e+02	3.614081e+01	1.369833e+00
Stellar_Type(1)	-	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.300000e+01	1.400000e+01	...	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01
Stellar_Type(2)	-	1.400000e+01	1.300000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.300000e+01	1.400000e+01	1.400000e+01	1.400000e+01	...	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.300000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01	1.400000e+01
Stellar_Type@ZAMS(1)	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
Stellar_Type@ZAMS(2)	-	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	...	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00
Unbound	State	0.000000e+00	1.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	0.000000e+00	...	0.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00	1.000000e+00	0.000000e+00	1.000000e+00	0.000000e+00	0.000000e+00	0.000000e+00

192 rows × 455 columns

print_compas_details_dataframe optionally also takes seeds as arguments, to focus on specific systems.

[7]:

seeds_MT = MTs['SEED'][()]
first_three_unique_seeds = np.unique(seeds_MT)[0:3]
print("Look at these seeds: ", first_three_unique_seeds)
print_compas_details_dataframe(MTs, first_three_unique_seeds)

Look at these seeds:  [ 47  57 166]

[7]:

SEED	(units)	47	47	57	57	166
Beta	-	0.456396	2.784483e-06	0.402267	6.209162e-07	0.140699
CEE>MT	State	0.000000	0.000000e+00	0.000000	0.000000e+00	0.000000
Eccentricity<MT	-	0.000000	1.110223e-16	0.000000	3.140185e-16	0.000000
Eccentricity>MT	-	0.000000	0.000000e+00	0.000000	0.000000e+00	0.000000
MT_Event_Counter	Count	1.000000	2.000000e+00	1.000000	2.000000e+00	1.000000
Mass(1)<MT	Msol	32.566573	9.283234e+00	33.588659	9.376008e+00	27.409944
Mass(1)>MT	Msol	10.685430	9.283292e+00	11.227866	9.376022e+00	8.513513
Mass(2)<MT	Msol	22.637409	3.096711e+01	28.421576	3.561613e+01	17.446196
Mass(2)>MT	Msol	32.623870	1.006569e+01	37.416587	1.224814e+01	20.104902
MassTransferRateDonor	Msol/Myr	31757.579741	8.668183e+04	93142.574653	3.926073e+05	45417.902200
MassTransferTimescale	-	2.000000	2.000000e+00	2.000000	2.000000e+00	2.000000
Merger	Event	0.000000	0.000000e+00	0.000000	0.000000e+00	0.000000
RLOF(1)<MT	Event	0.000000	0.000000e+00	0.000000	0.000000e+00	0.000000
RLOF(1)>MT	State	1.000000	0.000000e+00	1.000000	0.000000e+00	1.000000
RLOF(2)<MT	Event	0.000000	0.000000e+00	0.000000	0.000000e+00	0.000000
RLOF(2)>MT	State	0.000000	1.000000e+00	0.000000	1.000000e+00	0.000000
Radius(1)<MT	Rsol	89.399033	3.936091e-05	251.691327	3.975427e-05	152.288805
Radius(1)>MT	Rsol	0.975708	3.936116e-05	1.005857	3.975433e-05	0.848121
Radius(1)\|RL<step	-	1.002645	2.690551e-07	1.014995	7.736883e-08	1.028949
Radius(1)\|RL>step	-	0.007260	9.320951e-07	0.002090	4.898619e-07	0.003820
Radius(2)<MT	Rsol	10.199887	2.541695e+02	16.094850	9.953414e+02	7.669156
Radius(2)>MT	Rsol	10.650542	9.404841e-01	14.034821	1.060999e+00	7.870710
Radius(2)\|RL<step	-	0.135062	1.005602e+00	0.070053	1.057928e+00	0.063685
Radius(2)\|RL>step	-	0.047728	2.146285e-02	0.016885	1.157167e-02	0.023973
Record_Type	-	1.000000	1.000000e+00	1.000000	1.000000e+00	1.000000
SemiMajorAxis<MT	Rsol	217.069809	5.206614e+02	630.232662	1.893509e+03	353.608238
SemiMajorAxis>MT	Rsol	467.210269	1.135373e+02	1712.504653	2.279396e+02	721.882409
Stellar_Type(1)<MT	-	2.000000	1.400000e+01	2.000000	1.400000e+01	2.000000
Stellar_Type(1)>MT	-	7.000000	1.400000e+01	7.000000	1.400000e+01	7.000000
Stellar_Type(2)<MT	-	1.000000	2.000000e+00	1.000000	2.000000e+00	1.000000
Stellar_Type(2)>MT	-	1.000000	7.000000e+00	1.000000	7.000000e+00	1.000000
Time<MT	Myr	5.442672	8.414270e+00	5.300484	7.104724e+00	6.340174
Time>MT	Myr	5.442740	8.414344e+00	5.300548	7.104818e+00	6.340269
Zeta_Hurley(1)	-	-0.293793	0.000000e+00	-0.293793	0.000000e+00	-0.293793
Zeta_Hurley(2)	-	-0.293793	-2.937928e-01	-0.293793	-2.937928e-01	-0.293793
Zeta_Hurley_He(1)	-	0.000000	0.000000e+00	0.000000	0.000000e+00	0.000000
Zeta_Hurley_He(2)	-	-0.293793	0.000000e+00	-0.293793	0.000000e+00	-0.293793
Zeta_Soberman(1)	-	-0.333333	0.000000e+00	-0.333333	0.000000e+00	-0.333333
Zeta_Soberman(2)	-	-0.333333	-3.333333e-01	-0.333333	-3.333333e-01	-0.333333
Zeta_Soberman_He(1)	-	0.000000	0.000000e+00	0.000000	0.000000e+00	0.000000
Zeta_Soberman_He(2)	-	-0.333333	0.000000e+00	-0.333333	0.000000e+00	-0.333333

get_event_history¶

Often, it is useful to quickly retrieve an overview of the event history of a binary, including all mass transfer, common envelope, and supernova events. For this, we use get_event_history

[8]:

seeds, events = get_event_history(data)

for ii, seed in enumerate(seeds):
    print(seed, events[ii])

47 [('RL', np.float64(5.442672204520002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.111786820668005), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(8.414270420852006), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(9.100571087687992), np.int32(8), np.int32(14), np.int32(2), np.False_)]
50 [('SN', np.float64(5.24260824687508), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(10.932511437218478), np.int32(5), np.int32(13), np.int32(2), np.True_)]
57 [('RL', np.float64(5.300483657137001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.9586986865870095), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(7.104724160179012), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(7.744986160922015), np.int32(8), np.int32(14), np.int32(2), np.False_)]
66 [('SN', np.float64(6.533072656149967), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.268662783841004), np.int32(5), np.int32(14), np.int32(2), np.False_)]
78 [('SN', np.float64(3.9899834465580963), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.138407509183093), np.int32(8), np.int32(14), np.int32(2), np.False_)]
99 [('SN', np.float64(4.515892799583036), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(9.983957091485077), np.int32(5), np.int32(13), np.int32(2), np.True_)]
120 [('SN', np.float64(5.117105524383119), np.int32(8), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(5.143241434294118), np.int32(8), np.int32(14), np.int32(2), np.True_)]
166 [('RL', np.float64(6.340173663787001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.107423543279999), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(11.743237897131719), np.int32(5), np.int32(14), np.int32(2), np.True_)]
167 [('RL', np.float64(4.308531192974001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.894489709983005), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(7.0998284393970055), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(7.755782432163009), np.int32(8), np.int32(14), np.int32(2), np.False_)]
211 [('SN', np.float64(5.246325678025075), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.328888836647077), np.int32(8), np.int32(14), np.int32(2), np.False_)]
291 [('SN', np.float64(3.9342556711960492), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.401434404555958), np.int32(8), np.int32(14), np.int32(2), np.False_)]
312 [('SN', np.float64(4.522151016340026), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.991990659663077), np.int32(5), np.int32(14), np.int32(2), np.False_)]
332 [('SN', np.float64(4.704609838698078), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.1032481584710805), np.int32(8), np.int32(14), np.int32(2), np.False_)]
347 [('RL', np.float64(4.7422397996689964), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.362808037282998), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(7.737045365946003), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(8.366815952157), np.int32(8), np.int32(14), np.int32(2), np.False_)]
351 [('SN', np.float64(4.182218230401081), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.54422699393108), np.int32(8), np.int32(14), np.int32(2), np.False_)]
386 [('SN', np.float64(4.759868082875033), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.41133552608683), np.int32(5), np.int32(14), np.int32(2), np.False_)]
390 [('SN', np.float64(4.649419909237049), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(9.348674369888057), np.int32(5), np.int32(14), np.int32(2), np.True_)]
418 [('SN', np.float64(4.453643660548076), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.531645520513075), np.int32(8), np.int32(14), np.int32(2), np.False_)]
429 [('SN', np.float64(4.680758914304062), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.183662000877114), np.int32(8), np.int32(14), np.int32(2), np.False_)]
435 [('RL', np.float64(5.790194168828002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.489552970023003), np.int32(8), np.int32(14), np.int32(1), np.False_), ('MG', np.float64(7.790354031938007), np.int32(14), np.int32(2), np.False_, np.True_, np.True_, np.True_)]
451 [('RL', np.float64(3.409076623562001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(3.888811922865), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.147173579168058), np.int32(8), np.int32(14), np.int32(2), np.False_)]
483 [('RL', np.float64(5.900343810342999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.612259941222999), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(13.09299071204003), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(14.373294719852026), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(14.376990169208026), np.int32(8), np.int32(14), np.int32(2), np.False_)]
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1599 [('RL', np.float64(4.851958158650999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.478882520154993), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(15.634228161270036), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(17.49375343960805), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(17.49990601906805), np.int32(8), np.int32(13), np.int32(2), np.False_)]
1628 [('SN', np.float64(5.541143580744198), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.709302720452266), np.int32(5), np.int32(14), np.int32(2), np.False_)]
1638 [('SN', np.float64(4.487491004393076), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.690813888364075), np.int32(8), np.int32(14), np.int32(2), np.False_)]
1657 [('SN', np.float64(5.876613628827177), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.098653385929317), np.int32(5), np.int32(14), np.int32(2), np.False_)]
1663 [('SN', np.float64(6.122012233238102), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.446421188664204), np.int32(5), np.int32(14), np.int32(2), np.False_)]
1672 [('SN', np.float64(4.735568715410075), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.808492098352076), np.int32(8), np.int32(14), np.int32(2), np.False_)]
1677 [('SN', np.float64(7.487115226562047), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(19.524968552650957), np.int32(5), np.int32(13), np.int32(2), np.True_)]
1690 [('SN', np.float64(4.9032729795210415), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.774899928844105), np.int32(5), np.int32(14), np.int32(2), np.False_)]
1691 [('RL', np.float64(6.102745390197998), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.841658871318), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(9.290307079163046), np.int32(8), np.int32(14), np.int32(2), np.True_)]
1724 [('RL', np.float64(12.119273107306999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(13.734051685313993), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(29.58476494476429), np.int32(5), np.int32(13), np.int32(2), np.True_)]
1744 [('SN', np.float64(4.557375115931081), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.78901155216908), np.int32(8), np.int32(14), np.int32(2), np.False_)]
1766 [('RL', np.float64(4.712805585020998), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.328940157290992), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(10.891730691185971), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(11.94454903634697), np.int32(8), np.int32(13), np.int32(2), np.True_)]
1774 [('RL', np.float64(4.310007056749003), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.894922226577005), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(5.9599975028460035), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(6.567564336968003), np.int32(8), np.int32(14), np.int32(2), np.False_)]
1847 [('SN', np.float64(3.9116546548550812), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(3.9272467500530808), np.int32(8), np.int32(14), np.int32(2), np.False_)]
1867 [('RL', np.float64(6.743287835754), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.5611643080450035), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(9.220616485313727), np.int32(5), np.int32(14), np.int32(2), np.True_)]
1875 [('SN', np.float64(7.179181141754181), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.263682718503146), np.int32(5), np.int32(14), np.int32(2), np.False_)]
1918 [('RL', np.float64(4.568166744772014), np.int32(4), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.123556168160015), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.25448840295702), np.int32(5), np.int32(14), np.int32(2), np.False_)]
1944 [('RL', np.float64(6.648952151398999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.457763166945998), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(10.89391243743311), np.int32(5), np.int32(14), np.int32(2), np.True_)]
1966 [('RL', np.float64(3.430757194908997), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(3.465655020281997), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(3.929136133947991), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.454438087806017), np.int32(8), np.int32(14), np.int32(2), np.False_)]
1989 [('SN', np.float64(5.486141491510178), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.243420956454394), np.int32(5), np.int32(14), np.int32(2), np.False_)]
1993 [('SN', np.float64(4.576197236474032), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(5.985064586338978), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(6.4190751893949765), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2009 [('SN', np.float64(4.608077386478078), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.720974962679078), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2029 [('RL', np.float64(4.949564550039003), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.581220684955013), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.37288723894804), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2047 [('SN', np.float64(6.96003797804816), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.293336069433194), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2050 [('RL', np.float64(5.706750729689002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.394769424252002), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(14.915803344689262), np.int32(14), np.int32(5), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(14.949575223719261), np.int32(8), np.int32(13), np.int32(2), np.True_)]
2064 [('SN', np.float64(3.9657608665430812), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.072181250433082), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2075 [('RL', np.float64(5.373916359683995), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.036555479314992), np.int32(8), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(7.330574520997031), np.int32(8), np.int32(14), np.int32(2), np.True_)]
2085 [('SN', np.float64(4.197208556032092), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.346434996901088), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2102 [('RL', np.float64(5.098368881811002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.742247489904006), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(16.204279004486057), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(18.138668483762068), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(18.142944303630067), np.int32(8), np.int32(13), np.int32(2), np.False_)]
2111 [('SN', np.float64(4.076721824732092), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.402045327745092), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2112 [('RL', np.float64(3.4728046114270072), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(3.958714936204012), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.796669070271053), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2122 [('RL', np.float64(5.360770860961001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.024530763343997), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(8.093856913365), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(8.720673702555), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2132 [('SN', np.float64(4.22158238909209), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.284369635037089), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2146 [('SN', np.float64(4.799003046646996), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.230900605694978), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2178 [('SN', np.float64(4.914758365203096), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.078189088715095), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2180 [('RL', np.float64(6.3827604904849995), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.149949037271999), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(8.079012843818173), np.int32(5), np.int32(14), np.int32(2), np.True_)]
2184 [('SN', np.float64(4.31767914074908), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.371094586916081), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2208 [('RL', np.float64(4.938384290306999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.571802005287009), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.449779700540044), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2216 [('RL', np.float64(5.6174969433649995), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.300261038755998), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(25.36522849861901), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(29.76257161220103), np.int32(8), np.int32(13), np.int32(2), np.False_)]
2218 [('SN', np.float64(8.48818911851811), np.int32(5), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(8.835153721855047), np.int32(5), np.int32(14), np.int32(2), np.True_)]
2224 [('SN', np.float64(5.868045902342239), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.3275611398942), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2231 [('SN', np.float64(5.000689458799027), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.4204290472230126), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2244 [('SN', np.float64(4.237594748419033), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.048925410224051), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2270 [('SN', np.float64(5.541339256752856), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.706976799653867), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2288 [('RL', np.float64(5.684702351526001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.371582732922002), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(8.814802260800231), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(9.052938073538233), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2291 [('SN', np.float64(9.05367943956795), np.int32(5), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(9.90632750882122), np.int32(5), np.int32(14), np.int32(2), np.True_)]
2310 [('SN', np.float64(4.51052846434408), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.717860221713083), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2315 [('SN', np.float64(5.023180529136033), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.519027865665021), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2333 [('RL', np.float64(3.499189297103999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(3.9898243537849987), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(6.254291217393), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(6.853820925733996), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2350 [('RL', np.float64(6.074370670650998), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.8085197259429995), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(8.536129734400031), np.int32(8), np.int32(14), np.int32(2), np.True_)]
2355 [('SN', np.float64(4.687877671598064), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.749010611357065), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2384 [('SN', np.float64(12.475131875506328), np.int32(5), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(14.091010332896309), np.int32(5), np.int32(13), np.int32(2), np.True_)]
2395 [('SN', np.float64(5.634209213627218), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.236908400130115), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2426 [('SN', np.float64(4.214654565492085), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.4992235387670885), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2446 [('SN', np.float64(3.8956111934800473), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.84619234887608), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2451 [('RL', np.float64(6.773888403109978), np.int32(5), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.7764644433259775), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.918682715923827), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2457 [('SN', np.float64(3.9538505827670445), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.728373829685107), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2465 [('RL', np.float64(6.794043384858997), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.627118943415997), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(11.09505012057696), np.int32(8), np.int32(14), np.int32(2), np.True_)]
2562 [('SN', np.float64(4.041090091326046), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.109085759085101), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2633 [('SN', np.float64(6.153760311295836), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(20.062853282348254), np.int32(5), np.int32(13), np.int32(2), np.True_)]
2638 [('RL', np.float64(3.6572990954389994), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(3.701892674003999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.192072334287001), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.998306414762034), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2659 [('SN', np.float64(4.268851848131044), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.059014765707909), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2695 [('SN', np.float64(6.98369363712902), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.107878371146015), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2710 [('SN', np.float64(8.180086098219073), np.int32(5), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(8.283427915848112), np.int32(5), np.int32(14), np.int32(2), np.True_)]
2734 [('SN', np.float64(4.483061637783087), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.772516771215088), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2743 [('SN', np.float64(4.083790081050045), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.2968800579139845), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2746 [('SN', np.float64(6.01964027539401), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(10.95542077064393), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2748 [('SN', np.float64(4.510728495570037), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.268832903132064), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2795 [('SN', np.float64(6.483993074400892), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.2036330153419), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2827 [('SN', np.float64(6.400657858824852), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.955821410348818), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2835 [('RL', np.float64(3.776004478503), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.306095222878996), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(6.278307752168994), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(6.867028274031), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2850 [('RL', np.float64(5.8244159953409955), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.529104746835997), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(8.684879586520994), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(9.358162429178995), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2891 [('SN', np.float64(4.623648032707082), np.int32(8), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(4.631369391341082), np.int32(8), np.int32(14), np.int32(2), np.True_)]
2913 [('RL', np.float64(5.742939448974), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.438068958164004), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.569990767320059), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2915 [('SN', np.float64(3.889729737339087), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.246771400417087), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2960 [('SN', np.float64(5.58037315049889), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.362422618710096), np.int32(5), np.int32(14), np.int32(2), np.False_)]
2981 [('RL', np.float64(5.016049230497998), np.int32(4), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.652503589884995), np.int32(8), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(6.34859188586084), np.int32(5), np.int32(14), np.int32(2), np.True_)]
2984 [('RL', np.float64(4.283602782475), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.867320010173004), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.541728699799046), np.int32(8), np.int32(14), np.int32(2), np.False_)]
2987 [('SN', np.float64(4.676988355078108), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.040461428053099), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3044 [('SN', np.float64(4.534163991515097), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.843532779799093), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3050 [('SN', np.float64(4.28125852488904), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.279390659443925), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3058 [('SN', np.float64(4.609325653749054), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(6.397716876448052), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(7.167627529989052), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3078 [('SN', np.float64(7.76454073827206), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(9.767932395321909), np.int32(5), np.int32(14), np.int32(2), np.True_)]
3090 [('RL', np.float64(5.6508093036819975), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.337423759913993), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(8.741151334867995), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(9.43777244982799), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3093 [('SN', np.float64(5.730205615053149), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.135903329329293), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3103 [('SN', np.float64(4.125979473415082), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.5010871006740825), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3110 [('RL', np.float64(26.52788425905101), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(31.28872036228701), np.int32(9), np.int32(13), np.int32(1), np.False_), ('SN', np.float64(44.51479369961518), np.int32(5), np.int32(13), np.int32(2), np.False_)]
3156 [('SN', np.float64(6.044389142470097), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.501306550831244), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3220 [('CE', np.float64(4.991098505366001), np.int32(4), np.int32(4), np.True_, np.False_, np.True_, np.False_), ('SN', np.float64(5.271351173651995), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.281245042448995), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3221 [('RL', np.float64(6.484550095823), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(6.608444982764002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.411837224285002), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(11.766357148974997), np.int32(8), np.int32(14), np.int32(2), np.True_)]
3255 [('SN', np.float64(5.412389495848124), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.215984977891998), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3272 [('RL', np.float64(5.061088905575999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.701514269320998), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(16.063808174693985), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(17.961649358624978), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(17.96471355659898), np.int32(8), np.int32(13), np.int32(2), np.False_)]
3301 [('RL', np.float64(3.5931514146280006), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(3.634374776730003), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.096772907591004), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.121984517993056), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3338 [('SN', np.float64(4.021869940453044), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.861846457412084), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3354 [('SN', np.float64(4.089296767632044), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.59541581506799), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3356 [('SN', np.float64(5.7897321098468515), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.688549383907986), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3404 [('SN', np.float64(5.314017859363848), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(11.945352368502045), np.int32(5), np.int32(14), np.int32(2), np.True_)]
3419 [('SN', np.float64(4.491681504279069), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.561853612160069), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3422 [('SN', np.float64(4.342393522475036), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.040047529544079), np.int32(8), np.int32(14), np.int32(2), np.True_)]
3436 [('SN', np.float64(4.65537481188907), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.773299499910074), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3449 [('SN', np.float64(3.968061428307049), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.068524947896092), np.int32(8), np.int32(14), np.int32(2), np.True_)]
3550 [('RL', np.float64(5.0721260870229985), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.715255597674001), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.7382670846960275), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3581 [('SN', np.float64(3.9784938240140937), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.0247622999270956), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3594 [('SN', np.float64(6.113780105441978), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.501845528624139), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3599 [('RL', np.float64(5.676871427244998), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.365824372847997), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.07991997536004), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3616 [('RL', np.float64(4.779740787231), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.400379365101994), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(16.52358540135607), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(18.528875646878056), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(18.532633916849054), np.int32(8), np.int32(13), np.int32(2), np.False_)]
3639 [('SN', np.float64(5.264266640414091), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.534646895707985), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3651 [('RL', np.float64(4.054170971064997), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.614714967071007), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.152263111754061), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3656 [('SN', np.float64(3.925613292025049), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.480563207061096), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3674 [('SN', np.float64(5.489881038398186), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.861484754879116), np.int32(5), np.int32(14), np.int32(2), np.True_)]
3706 [('RL', np.float64(5.171119407333999), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.821407990030003), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(8.127259612705007), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(8.832059501680007), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3777 [('RL', np.float64(4.652275518018003), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.265113429846006), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.170583147850049), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3778 [('SN', np.float64(4.013119669515084), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.497413501096088), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3788 [('RL', np.float64(5.083726743462002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.726247777990999), np.int32(8), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(6.94133346374406), np.int32(8), np.int32(14), np.int32(2), np.True_)]
3877 [('SN', np.float64(3.9636975963960492), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.308961511229213), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3885 [('RL', np.float64(6.7790633038009025), np.int32(5), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.782004733598903), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(8.354286446345762), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3888 [('RL', np.float64(7.545505300398002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(8.465999906798), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(9.577501078563571), np.int32(5), np.int32(14), np.int32(2), np.True_)]
3907 [('SN', np.float64(5.037900379826053), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(5.074389796169052), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(5.71493694034605), np.int32(8), np.int32(14), np.int32(2), np.False_)]
3933 [('SN', np.float64(5.814846026216816), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.741596990374835), np.int32(5), np.int32(14), np.int32(2), np.False_)]
3963 [('SN', np.float64(4.476863663844045), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.223621444507104), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4010 [('SN', np.float64(5.0973375514790495), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.470435972679993), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4052 [('RL', np.float64(5.506400380874), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.179823275637004), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(15.9516819168), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(17.805312133904987), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(17.81210707688599), np.int32(8), np.int32(13), np.int32(2), np.False_)]
4055 [('RL', np.float64(5.200472803258), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.850368598829006), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(17.655452233193003), np.int32(14), np.int32(3), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(20.245943984163997), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(20.248837266733), np.int32(8), np.int32(13), np.int32(2), np.False_)]
4077 [('SN', np.float64(4.60595547228809), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.646540646559089), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4172 [('SN', np.float64(4.5140160510750835), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.993526151428084), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4175 [('SN', np.float64(4.0039139865080395), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.714153378851283), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4196 [('SN', np.float64(4.359781466707041), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(8.915583006401079), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(9.838172546525087), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4209 [('RL', np.float64(3.813185278307), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(3.85337627652), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.381493089582), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.699965757021835), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4227 [('SN', np.float64(4.423711505243044), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.836286999320007), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4235 [('RL', np.float64(4.924865644636002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.558301523253006), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(9.765276915373006), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(10.836318233085006), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4240 [('SN', np.float64(4.027486788094046), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.522434279422052), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4279 [('SN', np.float64(7.460946911581106), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(9.832453510011971), np.int32(5), np.int32(13), np.int32(2), np.True_)]
4291 [('SN', np.float64(3.964488237259094), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.0502474862990985), np.int32(8), np.int32(14), np.int32(2), np.False_)]
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4328 [('SN', np.float64(5.141980196949036), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(13.722131084560925), np.int32(5), np.int32(13), np.int32(2), np.True_)]
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4364 [('SN', np.float64(5.636100104133179), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.15891030252212), np.int32(5), np.int32(14), np.int32(2), np.False_)]
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4396 [('RL', np.float64(5.652376996377), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.334874984403999), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(18.28194303065599), np.int32(14), np.int32(3), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(20.980745708815984), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(20.984579863093984), np.int32(8), np.int32(13), np.int32(2), np.False_)]
4409 [('SN', np.float64(4.75974218969904), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(9.31583413593509), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4410 [('SN', np.float64(5.36817950705802), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.3920141907442085), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4434 [('RL', np.float64(4.057824979343002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.621695133582008), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(6.904876773768006), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(7.523897700847005), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4494 [('SN', np.float64(5.438595727729225), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.951910643596049), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4512 [('SN', np.float64(4.649927135914039), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(9.162618411137903), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4531 [('SN', np.float64(4.753603242840046), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.496360610859146), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4613 [('RL', np.float64(5.534841891468919), np.int32(4), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.820708062485914), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.261285730479697), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4618 [('RL', np.float64(4.136623304520001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.7075560638209994), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.222619840914046), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4660 [('SN', np.float64(5.697314696949919), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.969324923573084), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4669 [('SN', np.float64(4.583149980723031), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(9.177940995656076), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(10.11043848084107), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4672 [('RL', np.float64(4.4494101989609955), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.046645207455978), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(7.314178533485978), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(7.962884957765981), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4706 [('SN', np.float64(4.12479973620909), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.646400166261087), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4727 [('SN', np.float64(5.758111549403036), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.6252073867969035), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4741 [('RL', np.float64(3.994275866856001), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(4.020333118860002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.5786055549280045), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.4701274118330545), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4834 [('SN', np.float64(4.19782155141809), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.208952747979089), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4845 [('SN', np.float64(4.160186884792083), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.677641745380094), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4849 [('SN', np.float64(7.362639427349151), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.878596239831131), np.int32(5), np.int32(14), np.int32(2), np.False_)]
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4889 [('SN', np.float64(5.234149667635068), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.7877305753249715), np.int32(5), np.int32(14), np.int32(2), np.False_)]
4929 [('SN', np.float64(9.802795489710372), np.int32(5), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(11.840252548873805), np.int32(5), np.int32(13), np.int32(2), np.True_)]
4948 [('SN', np.float64(3.8863955412970816), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.415047982019079), np.int32(8), np.int32(14), np.int32(2), np.False_)]
4980 [('SN', np.float64(5.893009230492053), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.4454861168888735), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5016 [('SN', np.float64(7.606815789771066), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.9413761447630895), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5043 [('RL', np.float64(6.3178496127210035), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.081059950424003), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(15.44474825358538), np.int32(5), np.int32(13), np.int32(2), np.True_)]
5045 [('SN', np.float64(4.435730249290072), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.917163662639072), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5047 [('RL', np.float64(4.571697685719998), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.178301452377985), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.489939855295151), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5103 [('SN', np.float64(4.94140202834604), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.990861542084831), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5104 [('RL', np.float64(5.234063633531997), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.887292182228), np.int32(8), np.int32(14), np.int32(1), np.False_), ('MG', np.float64(6.690739452612998), np.int32(14), np.int32(2), np.False_, np.True_, np.True_, np.True_)]
5193 [('SN', np.float64(5.160286489041036), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.602422285599858), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5210 [('RL', np.float64(5.1384076709030015), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.785962392825001), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(7.641776822267), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(8.328534212422001), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5215 [('RL', np.float64(4.907266075779005), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.538117460411009), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(8.200891309686904), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(8.781758316939897), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5229 [('RL', np.float64(3.650833248831002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.163231089658997), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.77123967547203), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5259 [('RL', np.float64(6.3290109562220005), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.093455007375002), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(8.797318559266802), np.int32(5), np.int32(14), np.int32(2), np.True_)]
5286 [('SN', np.float64(4.112892959392042), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.965821481499878), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5298 [('RL', np.float64(3.4670288032600016), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(3.952601633472002), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.311677084956054), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5301 [('RL', np.float64(4.6128105976199985), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.221882029225004), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(11.122914354532929), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('SN', np.float64(12.200536526607925), np.int32(8), np.int32(13), np.int32(2), np.False_)]
5312 [('SN', np.float64(7.041577321946984), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(19.043202911746555), np.int32(5), np.int32(13), np.int32(2), np.True_)]
5324 [('SN', np.float64(5.07962566052805), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.982275698589976), np.int32(5), np.int32(14), np.int32(2), np.True_)]
5362 [('SN', np.float64(4.153322006631036), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.260685078289894), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5405 [('RL', np.float64(4.677098008848), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.293258486365003), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(7.406762795361008), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(7.999752719518005), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5424 [('SN', np.float64(4.448809089961098), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.617954386381095), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5428 [('SN', np.float64(5.023455548345039), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.795741725224979), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5444 [('SN', np.float64(4.57548089073908), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.921017228357076), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5474 [('SN', np.float64(6.584266726615823), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.323725257164611), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5494 [('SN', np.float64(4.418685268585079), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.6004201602360775), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5518 [('SN', np.float64(4.672452363035032), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.488153538184197), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5523 [('SN', np.float64(6.914192812020957), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.01275790468697), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5531 [('SN', np.float64(4.190458057081048), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.75186614798597), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5549 [('SN', np.float64(6.001835146436165), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.401500946908139), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5564 [('RL', np.float64(5.142896511509003), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.789312750264004), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.172680503990079), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5569 [('RL', np.float64(5.219671516722), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.870840182518003), np.int32(8), np.int32(14), np.int32(1), np.False_), ('MG', np.float64(6.038988160456), np.int32(14), np.int32(2), np.False_, np.True_, np.True_, np.True_)]
5573 [('SN', np.float64(4.41255572297009), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.545975850513091), np.int32(8), np.int32(14), np.int32(2), np.False_)]
5575 [('SN', np.float64(4.6422034887870876), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.922596087263086), np.int32(8), np.int32(14), np.int32(2), np.True_)]
5581 [('SN', np.float64(5.410694883355943), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(10.014969053883293), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5599 [('SN', np.float64(5.2168209356700785), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.205048695245865), np.int32(5), np.int32(14), np.int32(2), np.False_)]
5614 [('SN', np.float64(4.103869574855038), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.691271145708163), np.int32(5), np.int32(14), np.int32(2), np.False_)]
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5719 [('SN', np.float64(7.169856896785907), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(9.490961885667003), np.int32(5), np.int32(14), np.int32(2), np.False_)]
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6633 [('SN', np.float64(4.499768134791039), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.782176677970114), np.int32(5), np.int32(14), np.int32(2), np.False_)]
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6749 [('SN', np.float64(3.8892396195420407), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(6.231401101893041), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(6.981438434886041), np.int32(8), np.int32(14), np.int32(2), np.False_)]
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6884 [('SN', np.float64(7.151218937108859), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.853739691724928), np.int32(5), np.int32(14), np.int32(2), np.False_)]
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7025 [('SN', np.float64(4.185509329686088), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.251886119702085), np.int32(8), np.int32(14), np.int32(2), np.False_)]
7069 [('SN', np.float64(3.9052980350820934), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(3.9306100571430944), np.int32(8), np.int32(14), np.int32(2), np.False_)]
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7229 [('SN', np.float64(6.970178650259176), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(20.666124822163315), np.int32(5), np.int32(14), np.int32(2), np.False_)]
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7326 [('SN', np.float64(5.106258996425039), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.610787884337098), np.int32(5), np.int32(14), np.int32(2), np.False_)]
7340 [('SN', np.float64(4.0907512222960865), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.468442175184087), np.int32(8), np.int32(14), np.int32(2), np.False_)]
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7441 [('SN', np.float64(4.316424980012056), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.797833702445056), np.int32(8), np.int32(14), np.int32(2), np.False_)]
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7507 [('SN', np.float64(3.9978563972270416), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.884756402813965), np.int32(5), np.int32(14), np.int32(2), np.False_)]
7565 [('SN', np.float64(5.981619364625215), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.630071349987314), np.int32(5), np.int32(14), np.int32(2), np.False_)]
7585 [('SN', np.float64(4.943485162972037), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(10.843074003393172), np.int32(5), np.int32(14), np.int32(2), np.True_)]
7587 [('SN', np.float64(4.389183721128063), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.641205034883064), np.int32(8), np.int32(14), np.int32(2), np.False_)]
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9176 [('SN', np.float64(3.989825868770089), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.28141507792509), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9193 [('CE', np.float64(7.41250780419531), np.int32(5), np.int32(1), np.True_, np.False_, np.True_, np.False_), ('SN', np.float64(7.41412044922131), np.int32(8), np.int32(14), np.int32(1), np.False_), ('CE', np.float64(12.349473468641282), np.int32(14), np.int32(4), np.False_, np.True_, np.True_, np.False_), ('RL', np.float64(13.786870600414279), np.int32(14), np.int32(8), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(13.790836256196279), np.int32(8), np.int32(13), np.int32(2), np.False_)]
9248 [('RL', np.float64(6.1923163630910025), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.936442327077003), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(7.931255419396078), np.int32(5), np.int32(14), np.int32(2), np.True_)]
9261 [('RL', np.float64(3.674223047613), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(3.7236373262829994), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.211931834411999), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.189640709404834), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9317 [('RL', np.float64(4.0294509152710045), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(4.081887503334004), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.635007811659008), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.967231480606056), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9325 [('RL', np.float64(7.824716785061), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(8.792121516882997), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(21.942481764788624), np.int32(5), np.int32(13), np.int32(2), np.True_)]
9335 [('RL', np.float64(4.199646568018001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.777263643597995), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.6359928908260475), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9340 [('SN', np.float64(7.51310046885909), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.872452742551054), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9358 [('SN', np.float64(4.149420281301091), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.2655786595730945), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9368 [('RL', np.float64(3.5192403596029957), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.011719717727002), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.342188296305046), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9391 [('SN', np.float64(4.8184242403640445), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.076229429221965), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9393 [('RL', np.float64(4.896713812576002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.527851949801005), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.2695755843870495), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9405 [('RL', np.float64(4.985520923840001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.621222368281005), np.int32(8), np.int32(14), np.int32(1), np.True_), ('SN', np.float64(7.020591150861034), np.int32(8), np.int32(14), np.int32(2), np.True_)]
9410 [('SN', np.float64(5.476047666484932), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.564282642600739), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9423 [('SN', np.float64(4.499033217089029), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.361725344748248), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9424 [('RL', np.float64(4.780401932483001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.401118597350007), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.354357217950989), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9428 [('RL', np.float64(5.738042747667), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.429936124325), np.int32(8), np.int32(14), np.int32(1), np.False_), ('MG', np.float64(7.127987560065003), np.int32(14), np.int32(2), np.False_, np.True_, np.True_, np.True_)]
9455 [('SN', np.float64(4.279749039682084), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.686461650782085), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9473 [('SN', np.float64(4.603678167310098), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.858488683644097), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9487 [('RL', np.float64(6.4877575887639995), np.int32(4), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(7.268775059924001), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(8.819156710777902), np.int32(5), np.int32(14), np.int32(2), np.True_)]
9506 [('RL', np.float64(5.412610274340002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(6.080022201043007), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(8.293672219785005), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(8.934722329619001), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9512 [('SN', np.float64(4.08828660920809), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.15281042058609), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9526 [('RL', np.float64(3.5567611861949975), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.055668716085995), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.322203358856048), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9528 [('SN', np.float64(5.868236097938105), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.427557452541068), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9543 [('SN', np.float64(4.443681193399048), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.171737498241095), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9547 [('SN', np.float64(4.146068731501076), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.266980369331074), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9555 [('RL', np.float64(4.528015217703001), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.130316815433995), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(6.521786602713027), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9580 [('SN', np.float64(4.38437910254908), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.557943483297081), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9608 [('SN', np.float64(4.032421100458091), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.397984373812095), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9647 [('RL', np.float64(7.048995736858999), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(7.176650012457), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(8.064751106939), np.int32(8), np.int32(13), np.int32(1), np.True_), ('SN', np.float64(11.749746895568999), np.int32(8), np.int32(14), np.int32(2), np.True_)]
9709 [('RL', np.float64(4.005095923955002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.563378488014), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(6.747147094334001), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(7.331074404766004), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9730 [('SN', np.float64(3.959732694307092), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.356871099466083), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9736 [('SN', np.float64(3.8879014432750534), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.805739580541092), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9762 [('RL', np.float64(3.8109693200640016), np.int32(1), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('RL', np.float64(3.854099601754002), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(4.378070666741996), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(5.689538854847053), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9768 [('SN', np.float64(4.035037576614088), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.05884374877309), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9782 [('SN', np.float64(6.292219479512138), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(10.673118922652483), np.int32(5), np.int32(13), np.int32(2), np.True_)]
9803 [('SN', np.float64(4.5461390412960725), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.87650106624207), np.int32(8), np.int32(14), np.int32(2), np.False_)]
9810 [('SN', np.float64(4.3825305585670735), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(4.762084838211069), np.int32(8), np.int32(14), np.int32(2), np.True_)]
9876 [('SN', np.float64(4.7154846381340345), np.int32(8), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.383363108224897), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9984 [('SN', np.float64(6.321644657084858), np.int32(5), np.int32(14), np.int32(1), np.False_), ('SN', np.float64(7.819375293335021), np.int32(5), np.int32(14), np.int32(2), np.False_)]
9991 [('RL', np.float64(5.290004256528997), np.int32(2), np.int32(1), np.True_, np.False_, np.False_, np.False_), ('SN', np.float64(5.948282600108996), np.int32(8), np.int32(14), np.int32(1), np.False_), ('RL', np.float64(7.615672741096991), np.int32(14), np.int32(2), np.False_, np.True_, np.False_, np.False_), ('SN', np.float64(8.25192937011999), np.int32(8), np.int32(14), np.int32(2), np.False_)]

get_event_history takes the h5file as input, and returns an array of the seeds processed as well as the major events for that seed. The format for events depends on the event type. Currently, we only include supernova and mass transfer events, but mass transfer events include a flag for whether the system underwent CEE.

For MT events, it is (‘RL|CE|MG’, time, stellar_type_primary, stellar_type_secondary, is_rlof1, is_rlof2, is_cee, is_merger)
For SN events, it is (‘SN’, time, stellar_type_progenitor, stellar_type_remnant, which_star_is_progenitor, is_binary_unbound)

There is also an optional argument exclude_null which defaults to False. If True, it will skip systems which undergo no events of interest (which may speed up large runs).

A useful function that builds off of get_event_history is get_event_strings, which collects the event information into a succinct string, which may be easier to read (once you get used to the syntax).

The syntax for the event strings takes the following convention:

For MT events:
- P>S, P<S, P=S, or P&S
- where P is primary type, S is secondary type, and >, < is RLOF (1->2 or 1<-2), = is a (successful) CEE, and & is a merger.
For SN events:
- P*SR for star1 the SN progenitor, or
- R*SP for star2 the SN progenitor,
- where P is progenitor type, R is remnant type, S is state (i for intact, u for unbound)
- Note that the companion type is not reported in this truncated syntax.

Event strings for the same seed are ordered chronologically and separated by the undesrcore character _

[9]:

event_strings = get_event_strings(all_events=events)
for ii in range(5):
    print(seeds[ii], event_strings[ii])

47 HG>MS_HE*iBH_BH<HG_BH*iHE
50 HE*iBH_NS*uGB
57 HG>MS_HE*iBH_BH<HG_BH*iHE
66 GB*iBH_BH*iGB
78 HE*iBH_BH*iHE

[ ]:

2. Slicing the data¶

Since the random seed is unique and constant for a given binary, the properties and events of the binary system can be recovered by looking at its seed across different output categories.

Here we introduce the basics of manipulating the data using the seeds. We provide an example on how we get the initial parameters of systems that ended up forming double compact objects.

Naively, we might try to use For Loops with Conditions to extract systems of interest to a list. However, this can potentially be computationally expensive.

Here we present a method to more efficiently ‘slice’ the data using numpy and boolean masks. These are slightly more involved but are computationally quick and use intuitive logic.

Question: What were the initial total masses of the double compact objects?¶

[10]:

def calculate_total_masses_naive(path_data=None):
    data  = h5.File(path_to_data)

    total_masses = []

    # Retrieve the categories
    SPs = data['BSE_System_Parameters']
    DCs = data['BSE_Double_Compact_Objects']

    # For syntax see section 1

    # Extract parameters of interest
    seeds_DC       = DCs['SEED'][()]
    seeds_SP       = SPs['SEED'][()]
    m1_zams        = SPs['Mass@ZAMS(1)'][()]
    m2_zams        = SPs['Mass@ZAMS(2)'][()]

    for dc_seed in seeds_DC:
        for seed_index in range(len(seeds_SP)):
            sp_seed = seeds_SP[seed_index]
            if sp_seed == dc_seed:
                m1 = m1_zams[seed_index]
                m2 = m2_zams[seed_index]
                m_tot = m1 + m2
                total_masses.append(m_tot)

    data.close()
    return total_masses

[11]:

# calculate function run time
start   = time.time()
m_tot_old = calculate_total_masses_naive(path_data=path_to_data)
end     = time.time()
time_diff_naive = end-start

print('%s seconds, using for loops.' %(time_diff_naive))

0.015687942504882812 seconds, using for loops.

I) Optimizing the above loop¶

a - Use built-in numpy routines¶

Numpy arrays can make use of a powerful library of optimization tools which allow the user to bypass computationally heavy for-loops.

For example, we can speed up the calculation of the element-wise sum of two arrays with:

[12]:

SPs = data['BSE_System_Parameters']

m1_zams  = SPs['Mass@ZAMS(1)'][()]
m2_zams  = SPs['Mass@ZAMS(2)'][()]

m_total_all_systems  = np.add(m1_zams, m2_zams)

b - Use boolean masks in a single file¶

Where previously we put the condition in an if statement nested within a for loop, now we again make use of boolean masks to filter out the undesired elements.

The boolean array must have the same length as the input array.

[13]:

# Create a boolean array from the total mass array which is True
# if the total mass of the corresponding system is less than 40.

mask_m_tot_less_than_40 = (m_total_all_systems <= 40)

Crucially, you can apply this mask to all other columns in the same file because, by construction, they all have the same length.

[14]:

# seeds of systems with total mass below 40
seeds_m_tot_below_40 = seeds_SP[mask_m_tot_less_than_40]

Note that this works because the order of the two columns (seeds and total masses) are the same.

For example, the total mass of the system at index 2 corresponds to the seed at index 2.

II) Use seeds as masks between files¶

Example 1¶

Before we continue it is useful to understand how the COMPAS-popsynth printing works.

Each simulated system will be initialized only once and so will have only one line in the BSE_System_Parameters file. However, lines in BSE_RLOF are created whenever a system goes through a mass transfer event, which might happen multiple times for a single system, or potentially not at all. Similarly, in the BSE_Supernovae file, you will find at most two lines per system, but possibly none. BSE_Double_Compact_Objects lines are printed only when the final system is intact and composed of either Neutron Stars or Black Holes, which is a rare event that happens at most once per system.

For this reason, it is generally not the case that the system on line \(n\) of one file corresponds to the system on line \(n\) of another file.

In order to match systems across files, we need to extract the seeds of desired systems from one file, and apply them as a mask in the other file.

[15]:

# Example: calculate the primary ZAMS mass of systems which become DCOs (Double Compact Objects)
seeds_SP = SPs['SEED'][()]
seeds_DC = DCs['SEED'][()]
m1_zams  = SPs['Mass@ZAMS(1)'][()]

# Calculate mask for which elements of seeds_SP are found in seeds_DC
# - see numpy.isin documentation for details
mask = np.isin(seeds_SP, seeds_DC)

print("The occurrence rate of DCOs is {}/{}".format(sum(mask), len(mask)))

The occurence rate of DCOs is 362/454

[16]:

seeds_DC = DCs['SEED'][()]
print_compas_details_dataframe(DCs, seeds_DC[:3])

[16]:

SEED	(units)	47	57	66
Coalescence_Time	Myr	1.951190e+07	4.110489e+08	7.946301e+20
Eccentricity@DCO	-	0.000000e+00	2.220446e-16	2.994669e-01
Mass(1)	Msol	9.283292e+00	9.376022e+00	1.205103e+01
Mass(2)	Msol	9.136705e+00	9.536828e+00	8.856926e+00
Merges_Hubble_Time	State	0.000000e+00	0.000000e+00	0.000000e+00
Record_Type	-	1.000000e+00	1.000000e+00	1.000000e+00
Recycled_NS(1)	Event	0.000000e+00	0.000000e+00	0.000000e+00
Recycled_NS(2)	Event	0.000000e+00	0.000000e+00	0.000000e+00
SemiMajorAxis@DCO	AU	5.549064e-01	1.212601e+00	1.663798e+03
Stellar_Type(1)	-	1.400000e+01	1.400000e+01	1.400000e+01
Stellar_Type(2)	-	1.400000e+01	1.400000e+01	1.400000e+01
Time	Myr	9.100571e+00	7.744986e+00	8.268663e+00

Optimized loop¶

[17]:

def calculate_total_masses_optimized(path_data=None):
    data  = h5.File(path_to_data)

    total_masses = []

    # Retrieve the categories
    SPs = data['BSE_System_Parameters']
    DCs = data['BSE_Double_Compact_Objects']

    # For syntax see section 1

    # Extract parameters of interest
    seeds_DC       = DCs['SEED'][()]
    seeds_SP       = SPs['SEED'][()]
    m1_zams        = SPs['Mass@ZAMS(1)'][()]
    m2_zams        = SPs['Mass@ZAMS(2)'][()]

    m_zams_tot             = np.add(m1_zams, m2_zams)
    mask_seeds_became_DCO  = np.isin(seeds_SP, seeds_DC)
    m_zams_tot_of_DCOs     = m_zams_tot[mask_seeds_became_DCO]

    data.close()
    return m_zams_tot_of_DCOs

[18]:

# calculate function run time
start   = time.time()
m_tot_new = calculate_total_masses_optimized(path_data=path_to_data)
end     = time.time()
time_diff_optimized = end-start

# calculate number of Double Compact Objects
n_DCos = len(seeds_DC)

print('Compare')
print('%s seconds, using For Loops.'     %(time_diff_naive))
print('%s seconds, using Optimizations.' %(time_diff_optimized))
print('Using %s DCO systems'             %(n_DCos))

Compare
0.015687942504882812 seconds, using For Loops.
0.0034928321838378906 seconds, using Optimizations.
Using 362 DCO systems

Note: The time difference will depend heavily on the number of systems under investigation, as well as the number of bypassed For Loops. If you used the path to the pre-generated tutorial data set, you should see very little improvement.

[19]:

# Test that the two arrays are in fact identical
print(np.array_equal(m_tot_old, m_tot_new))

True

Note: the above loop can easily be expanded with more conditions.

If you do not want all the DCO initial total masses but only of the binary black holes, then you just need to apply another mask to the seeds_DC.

[20]:

def calculate_total_masses_bbh(path_to_data=None):
    data  = h5.File(path_to_data)

    total_masses = []

    SPs = data['BSE_System_Parameters']
    DCs = data['BSE_Double_Compact_Objects']

    seeds_DC = DCs['SEED'][()]
    stype1  = DCs['Stellar_Type(1)'][()]
    stype2  = DCs['Stellar_Type(2)'][()]

    dc_mask_bbh     = (stype1 == 14) & (stype2 == 14)
    seeds_bbh      = seeds_DC[dc_mask_bbh]

    # Get info from ZAMS
    seeds_SP  = SPs['SEED'][()]
    m1_zams   = SPs['Mass@ZAMS(1)'][()]
    m2_zams   = SPs['Mass@ZAMS(2)'][()]

    m_zams_tot = np.add(m1_zams, m2_zams)

    sp_mask_bbh    = np.isin(seeds_SP, seeds_bbh)
    m_zams_tot_bbh = m_zams_tot[sp_mask_bbh]

    data.close()
    return m_zams_tot_bbh

[21]:

# calculate function run time
start   = time.time()
m_tot_bbh = calculate_total_masses_bbh(path_to_data=path_to_data)
end     = time.time()
time_diff_bbh = end-start

# calculate number of BBH systems
n_bbh = len(m_tot_bbh)

print('%s seconds for all %s BBH systems.' %(time_diff_bbh, n_bbh))

0.0020630359649658203 seconds for all 345 BBH systems.

Note that the print_compas_details_dataframe function can also optionally take a mask as argument. The mask array must have the same length as the data arrays for the given category.

[22]:

mask_merges_hubble_time = DCs['Merges_Hubble_Time'][()] == 1 # Booleans are stored as 0 or 1, so need the final == 1 to get a boolean array
print_compas_details_dataframe(DCs, mask=mask_merges_hubble_time)

[22]:

SEED	(units)	483	750	1135	1599	1993	2102	2288	3220	3616	3907	4055	4196	4669	5215	5301	5839	6516	9052	9193
Coalescence_Time	Myr	2427.739980	151.543821	7.625490e+02	1340.881255	154.372689	9308.496991	763.479452	8.431807e+02	1.875938	416.314744	745.587709	774.915488	2.521770e+02	284.928977	0.007486	181.740006	1639.261712	25.425817	341.056347
Eccentricity@DCO	-	0.000000	0.039545	2.220446e-16	0.267581	0.000000	0.333133	0.156826	5.551115e-16	0.943208	0.189632	0.901320	0.163765	2.220446e-16	0.111294	0.978115	0.000000	0.451772	0.585915	0.599274
Mass(1)	Msol	8.886323	1.260014	9.206978e+00	9.664539	10.498680	9.503789	9.131510	1.137973e+01	9.726748	10.004278	9.449522	10.857872	1.049581e+01	9.625391	9.847217	11.860337	4.614384	1.260021	10.120364
Mass(2)	Msol	2.827555	2.674648	9.884907e+00	1.472283	9.418174	1.458286	5.545968	1.126004e+01	1.232478	5.954653	1.196934	2.828736	5.649188e+00	5.758862	1.471904	9.657618	3.251259	1.475561	1.735346
Merges_Hubble_Time	State	1.000000	1.000000	1.000000e+00	1.000000	1.000000	1.000000	1.000000	1.000000e+00	1.000000	1.000000	1.000000	1.000000	1.000000e+00	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000
Record_Type	-	1.000000	1.000000	1.000000e+00	1.000000	1.000000	1.000000	1.000000	1.000000e+00	1.000000	1.000000	1.000000	1.000000	1.000000e+00	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000
Recycled_NS(1)	Event	0.000000	1.000000	0.000000e+00	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000	0.000000	0.000000	0.000000	1.000000	0.000000
Recycled_NS(2)	Event	0.000000	0.000000	0.000000e+00	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000
SemiMajorAxis@DCO	AU	0.038611	0.008904	4.505584e-02	0.030427	0.031183	0.050761	0.037252	5.251890e-02	0.034209	0.034394	0.096260	0.032490	2.943648e-02	0.029808	0.019875	0.034356	0.034007	0.006468	0.031984
Stellar_Type(1)	-	14.000000	13.000000	1.400000e+01	14.000000	14.000000	14.000000	14.000000	1.400000e+01	14.000000	14.000000	14.000000	14.000000	1.400000e+01	14.000000	14.000000	14.000000	14.000000	13.000000	14.000000
Stellar_Type(2)	-	14.000000	14.000000	1.400000e+01	13.000000	14.000000	13.000000	14.000000	1.400000e+01	13.000000	14.000000	13.000000	14.000000	1.400000e+01	14.000000	13.000000	14.000000	14.000000	13.000000	13.000000
Time	Myr	14.376990	38.872799	8.865686e+00	17.499906	6.419075	18.142944	9.052938	5.281245e+00	18.532634	5.714937	20.248837	9.838173	1.011044e+01	8.781758	12.200537	5.523583	9.423157	39.132426	13.790836

Example 2¶

The previous example uses the fact that both BSE_System_Parameters and BSE_Double_Compact_Objects only print at most one line per system. However, as mentioned above, events such as supernovae or mass transfer might happen multiple times to a given system, and as a result there would be multiple occurrences of a given seed in the relevant file.

[23]:

# Example: Want to investigate CEE events for a given system.
#
# To illustrate the point, we find the seed of the system with the most mass transfer events, one of which is a CEE.

seeds_CE = CEs['SEED'][()]
uniq_seeds, uniq_counts = np.unique(seeds_MT[np.isin(seeds_MT, seeds_CE)], return_counts=True)
best_seed = uniq_seeds[np.argmax(uniq_counts)]
print_compas_details_dataframe(MTs, best_seed)

[23]:

SEED	(units)	750	750	750	750	750	750	750	750	750	750	750	750	750	750	750	750	750	750	750
Beta	-	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	2.973655e-07	0.000010
CEE>MT	State	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.000000e+00	0.000000
Eccentricity<MT	-	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	5.288952e-01	0.000000
Eccentricity>MT	-	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000
MT_Event_Counter	Count	1.000000	2.000000	3.000000	4.000000	5.000000	6.000000	7.000000	8.000000	9.000000	10.000000	11.000000	12.000000	13.000000	14.000000	15.000000	16.000000	17.000000	1.800000e+01	19.000000
Mass(1)<MT	Msol	8.901404	1.844969	1.843588	1.819225	1.790843	1.762225	1.734096	1.706577	1.679672	1.653364	1.627633	1.602458	1.577821	1.553704	1.530090	1.506813	1.464966	1.260000e+00	1.260000
Mass(1)>MT	Msol	1.861151	1.843588	1.819225	1.790843	1.762225	1.734096	1.706577	1.679672	1.653364	1.627633	1.602458	1.577821	1.553704	1.530090	1.506963	1.465436	1.386744	1.260000e+00	1.260014
Mass(2)<MT	Msol	8.388764	15.350242	15.351623	15.375986	15.404369	15.432987	15.461116	15.488635	15.515539	15.541847	15.567579	15.592754	15.617391	15.641507	15.665121	15.688210	15.729477	1.472633e+01	4.191322
Mass(2)>MT	Msol	15.429018	15.351623	15.375986	15.404369	15.432987	15.461116	15.488635	15.515539	15.541847	15.567579	15.592754	15.617391	15.641507	15.665121	15.688249	15.729587	15.807699	4.258924e+00	2.866378
MassTransferRateDonor	Msol/Myr	1473.780504	0.410549	7.390832	8.785992	9.039808	9.066502	9.050887	9.029533	9.009440	8.991827	8.976813	8.964315	8.954223	8.946416	8.940813	16.655511	34.137175	1.797693e+308	1717.201908
MassTransferTimescale	-	2.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	3.000000e+00	2.000000
Merger	Event	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000
RLOF(1)<MT	Event	0.000000	0.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	0.000000	0.000000	0.000000e+00	0.000000
RLOF(1)>MT	State	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	0.000000e+00	0.000000
RLOF(2)<MT	Event	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000
RLOF(2)>MT	State	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	1.000000e+00	1.000000
Radius(1)<MT	Rsol	46.381638	152.762058	155.682951	158.659693	161.693352	164.785015	167.935794	171.146816	174.419236	177.754225	181.152982	184.616724	188.000373	189.932713	191.695335	196.340553	204.519077	1.437401e-05	0.000014
Radius(1)>MT	Rsol	0.319143	152.762058	155.682951	158.659693	161.693352	164.785015	167.935794	171.146816	174.419236	177.754225	181.152982	184.616724	186.787134	188.572205	190.154725	192.761027	190.745115	1.437401e-05	0.000014
Radius(1)\|RL<step	-	1.002665	1.001077	1.019338	1.022963	1.023603	1.023646	1.023575	1.023484	1.023392	1.023303	1.023217	1.023133	1.022257	1.013310	1.003452	1.008427	1.014333	1.304135e-07	0.000010
Radius(1)\|RL>step	-	0.002113	1.000213	1.003770	1.004398	1.004441	1.004371	1.004282	1.004192	1.004104	1.004019	1.003937	1.003858	0.996528	0.987104	0.976643	0.955973	0.882089	9.713698e-06	0.000025
Radius(2)<MT	Rsol	7.109590	12.675678	12.684187	12.645381	12.599034	12.552987	12.508645	12.466167	12.425487	12.386501	12.349108	12.313213	12.278729	12.245573	12.213672	12.190597	12.151721	3.346089e+02	2.672983
Radius(2)>MT	Rsol	6.474720	12.672834	12.634347	12.588328	12.542599	12.498563	12.456379	12.415981	12.377267	12.340135	12.304491	12.270248	12.237326	12.205650	12.175151	12.122975	12.028238	5.716229e-01	0.000014
Radius(2)\|RL<step	-	0.157915	0.032150	0.032132	0.031343	0.030430	0.029522	0.028642	0.027793	0.026975	0.026187	0.025426	0.024692	0.023983	0.023298	0.022636	0.022010	0.020909	1.015943e+00	1.029609
Radius(2)\|RL>step	-	0.016616	0.032104	0.031315	0.030404	0.029497	0.028619	0.027771	0.026955	0.026167	0.025407	0.024674	0.023966	0.023282	0.022621	0.021982	0.020862	0.018813	2.222681e-01	0.000017
Record_Type	-	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000e+00	1.000000
SemiMajorAxis<MT	Rsol	120.443769	699.774234	700.547479	714.464753	731.359600	749.181230	767.516155	786.288336	805.490645	825.129915	845.215893	865.759059	886.770217	908.260411	930.240889	952.737064	995.553058	1.184242e+03	5.350612
SemiMajorAxis>MT	Rsol	691.971236	700.547479	714.464753	731.359600	749.181230	767.516155	786.288336	805.490645	825.129915	845.215893	865.759059	886.770217	908.260411	930.240889	952.723185	995.508738	1086.572340	5.285069e+00	1.845087
Stellar_Type(1)<MT	-	2.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	1.300000e+01	13.000000
Stellar_Type(1)>MT	-	7.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	9.000000	1.300000e+01	13.000000
Stellar_Type(2)<MT	-	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	4.000000e+00	8.000000
Stellar_Type(2)>MT	-	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	1.000000	7.000000e+00	8.000000
Time<MT	Myr	30.512848	36.400365	36.403728	36.407025	36.410255	36.413421	36.416524	36.419564	36.422544	36.425464	36.428325	36.431130	36.433878	36.436571	36.439211	36.444333	36.453976	3.757444e+01	38.870567
Time>MT	Myr	30.514337	36.403728	36.407025	36.410255	36.413421	36.416524	36.419564	36.422544	36.425464	36.428325	36.431130	36.433878	36.436571	36.439211	36.441798	36.446817	36.456267	3.757571e+01	38.871702
Zeta_Hurley(1)	-	-0.293793	-0.063643	-0.041524	-0.013910	0.017325	0.052014	0.090389	0.132798	0.179640	0.231361	0.288448	0.351437	0.420916	0.497529	0.581983	0.765476	1.250496	0.000000e+00	0.000000
Zeta_Hurley(2)	-	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-2.937928e-01	0.000000
Zeta_Hurley_He(1)	-	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000
Zeta_Hurley_He(2)	-	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	-0.293793	0.000000e+00	0.000000
Zeta_Soberman(1)	-	-0.333333	1.162122	1.231293	1.317277	1.414603	1.523436	1.645504	1.783324	1.940192	2.120413	2.329697	2.575776	2.869392	3.225908	3.668107	4.877547	12.526001	0.000000e+00	0.000000
Zeta_Soberman(2)	-	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-3.333333e-01	0.000000
Zeta_Soberman_He(1)	-	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000e+00	0.000000
Zeta_Soberman_He(2)	-	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	-0.333333	0.000000e+00	0.000000

There is too much information here to be useful in this case, so we additionally apply a mask to filter out events we’re not interested in

[24]:

mask_cee = MTs['CEE>MT'][()] == 1 # true for mass transfer events which undergo Common Envelope Evolution
print_compas_details_dataframe(MTs, best_seed, mask=mask_cee)

[24]:

SEED	(units)	750
Beta	-	2.973655e-07
CEE>MT	State	1.000000e+00
Eccentricity<MT	-	5.288952e-01
Eccentricity>MT	-	0.000000e+00
MT_Event_Counter	Count	1.800000e+01
Mass(1)<MT	Msol	1.260000e+00
Mass(1)>MT	Msol	1.260000e+00
Mass(2)<MT	Msol	1.472633e+01
Mass(2)>MT	Msol	4.258924e+00
MassTransferRateDonor	Msol/Myr	1.797693e+308
MassTransferTimescale	-	3.000000e+00
Merger	Event	0.000000e+00
RLOF(1)<MT	Event	0.000000e+00
RLOF(1)>MT	State	0.000000e+00
RLOF(2)<MT	Event	0.000000e+00
RLOF(2)>MT	State	1.000000e+00
Radius(1)<MT	Rsol	1.437401e-05
Radius(1)>MT	Rsol	1.437401e-05
Radius(1)\|RL<step	-	1.304135e-07
Radius(1)\|RL>step	-	9.713698e-06
Radius(2)<MT	Rsol	3.346089e+02
Radius(2)>MT	Rsol	5.716229e-01
Radius(2)\|RL<step	-	1.015943e+00
Radius(2)\|RL>step	-	2.222681e-01
Record_Type	-	1.000000e+00
SemiMajorAxis<MT	Rsol	1.184242e+03
SemiMajorAxis>MT	Rsol	5.285069e+00
Stellar_Type(1)<MT	-	1.300000e+01
Stellar_Type(1)>MT	-	1.300000e+01
Stellar_Type(2)<MT	-	4.000000e+00
Stellar_Type(2)>MT	-	7.000000e+00
Time<MT	Myr	3.757444e+01
Time>MT	Myr	3.757571e+01
Zeta_Hurley(1)	-	0.000000e+00
Zeta_Hurley(2)	-	-2.937928e-01
Zeta_Hurley_He(1)	-	0.000000e+00
Zeta_Hurley_He(2)	-	0.000000e+00
Zeta_Soberman(1)	-	0.000000e+00
Zeta_Soberman(2)	-	-3.333333e-01
Zeta_Soberman_He(1)	-	0.000000e+00
Zeta_Soberman_He(2)	-	0.000000e+00

Example 3¶

Combining masks on the seeds and other data can provide a lot of flexibility to help explore your science case. Imagine you want the primary masses of systems that experienced two core collapse supernovae (CCSNe) and resulted in a double compact object that will merge in a Hubble time. We’ll reuse our mock data, with additional information about the types of SN which occurred in each star.

[25]:

# Example: get the primary ZAMS masses of systems which experience 2 CCSNe before becoming a DCO

seeds_SP = SPs['SEED'][()]
seeds_SN = SNe['SEED'][()]
seeds_DC = DCs['SEED'][()]

sn_type  = SNe['SN_Type(SN)'][()]
m1_zams  = SPs['Mass@ZAMS(1)'][()]
merges_hubble_time = DCs['Merges_Hubble_Time'][()] == 1

# Note: the SN_Type(SN) parameter maps integers to SN types - see documentation for details
sn_type_dict = {
    1: 'CCSN',
    2: 'ECSN',
    4: 'PISN',
    8: 'PPISN',
    16: 'USSN',
} # this dictionary is illustrative, but not explicitly used here


# Determine which seeds experienced 2 CCSNe
mask_ccsn = sn_type == 1
seeds_ccsn, counts_ccsn = np.unique(seeds_SN[mask_ccsn], return_counts=True)
seeds_double_ccsn = seeds_ccsn[counts_ccsn == 2]                              # Seeds with 2 CCSNe will have a counts_ccsn value of 2
mask_SP_double_ccsn = np.isin(seeds_SP, seeds_double_ccsn)

# Determine which systems end up as merging DCOs
mask_merges_hubble_time = DCs['Merges_Hubble_Time'][()] == 1
mask_SP_hubble_time_mergers = np.isin(seeds_SP, seeds_DC[mask_merges_hubble_time])

# Combine the 2 masks to get only the correct subset of systems
combined_mask = mask_SP_double_ccsn & mask_SP_hubble_time_mergers
m1_zams_masked = m1_zams[combined_mask]

print(f"Primary ZAMS masses for the {np.sum(combined_mask)} system(s) which experience 2 CCSNe before becoming a merging DCO:\n {m1_zams_masked}")

Primary ZAMS masses for the 11 system(s) which experience 2 CCSNe before becoming a merging DCO:
 [ 36.61179366  64.30993342  33.46802479  44.93436946  50.60505145
  74.54126066  64.0097593   41.89914417  46.89959648 116.48994565
  22.58024203]

[26]:

# Always remember to close your data file
data.close()

3. Visualizing the data¶

Although math is the fundamental basis of physics and astrophysics, we cannot always easily convert numbers and equations into a coherent picture. Plotting is therefore a vital tool in bridging the gap between raw data and a deeper scientific understanding.

Disclaimer:

There are many ways to make the same plot in matplotlib and there are many ways to bin your data. Often, there is no “best” way to display data in a plot, and the message conveyed can be heavily dependent on the context of the data as well as aesthetic plotting decisions.

For example, in histograms, as we discuss below, the relatively subjective choice of bin size can significantly affect the interpretation of the results. It is important to be aware of when and how we make these choices and to try to reduce any unintended bias.

Example: inspect the chirp mass and component masses of Double Compact Objects¶

In the example below, we use the following conventions:

1 - We deliberately choose to use the matplotlib.pyplot.subplots routine even when creating a single figure (as opposed to using pyplot.plot). This is because many online forums (e.g Stackoverflow) use this syntax. Furthermore, this means you do not have to learn two different types of syntax when creating either a single or multiple panel figure.

2 - We choose to do the binning within the numpy/array environment instead of with inbuilt functions such as plt.hist / axes.hist. The reason is that you have more control over what you do, such as custom normalization (using rates, weights, pdf, etc.). It also forces you to have a deeper understanding of what you are calculating, and allows you to check intermediate steps with print statements. Once you know how to bin your data this way you can also easily expand these routines for more complicated plots (2D binning).

Note: for this exercise, we recommend running your own simulation of at least 100,000 binaries in order to have a sufficient number of DCOs to have an interesting plot. We use the default tutorial data here for illustrative purposes, and because such a file is too large to store on github.

Get some data to plot¶

[27]:

path_to_data = 'COMPAS_Tutorial_Output.h5'

data  = h5.File(path_to_data)
print(list(data.keys()))

DCs = data['BSE_Double_Compact_Objects']

m1 = DCs['Mass(1)'][()]
m2 = DCs['Mass(2)'][()]
def calculate_chirp_mass(m1, m2):
    m_chirp = (m1 * m2)**(3/5) / (m1 + m2)**(1/5)
    return m_chirp
m_chirp = calculate_chirp_mass(m1, m2)

data.close()

['BSE_Common_Envelopes', 'BSE_Double_Compact_Objects', 'BSE_RLOF', 'BSE_Supernovae', 'BSE_System_Parameters', 'Run_Details']

Plot histogram and CDF of data on left, and component mass scatter plot on the right¶

[28]:

fig, axes = plt.subplots(ncols=2, figsize=(12,5), constrained_layout=True)
fs_title = 30
fs_label= 20
fs_tick = 15
plt.rcParams.update({
    "text.usetex": True,
    "font.family": "serif",
    "font.sans-serif": "Times New Roman",
})

# Histogram
ax = axes[0]
bins = np.linspace(0, max(m_chirp), 21) # use 20 bins, up to the maximum chirp mass
ax.hist(m_chirp, bins=bins, color='black', alpha=0.3)
ax.set_ylabel('Histogram counts', fontsize=fs_label)
ax.set_xlabel(r'$\mathcal{M} \; [M_\odot$]', fontsize=fs_label)
ax.set_title('Chirp mass distribution', fontsize=fs_title)
ax.tick_params(axis='both', which='major', labelsize=fs_tick)

# CDF
ax = ax.twinx()
cdf_x_values = np.sort(m_chirp)
cdf_y_values = np.cumsum(cdf_x_values)
cdf_y_values /= cdf_x_values[-1]
np.insert(cdf_x_values, 0, 0) # insert a 0 at the front of the array
cdf_y_values = np.linspace(0, ax.get_ylim()[1], len(cdf_x_values))
ax.plot(cdf_x_values, cdf_y_values, 'r')
ax.set_ylabel('CDF values', rotation=270, labelpad=25, fontsize=fs_label, color='red')
ax.set_ylim(0, 1)
ax.tick_params(axis='y', which='major', labelsize=fs_tick, labelcolor='red')
ax.grid(False)

# Scatter plot
ax = axes[1]
ax.scatter(m1, m2, color='black')
ax.set_title('Component Masses', fontsize=fs_title)
ax.set_xlabel(r'$M_1 \; [M_\odot$]', fontsize=fs_label)
ax.set_ylabel(r'$M_2 \; [M_\odot$]', fontsize=fs_label)
ax.tick_params(axis='both', which='major', labelsize=fs_tick)

../../../../_images/pages_User_guide_Post-processing_notebooks_DataAnalysis_65_0.png

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