How to use different extra sources such as CCSN neutrino-driven winds

Prepared by Christian Ritter



In [1]:

    
%matplotlib nbagg
import matplotlib.pyplot as plt
import sys
import sygma as s
import omega as o
import numpy as np
print (s.global_path)
import read_yields as ry
import matplotlib









    



/Users/benoitcote/Desktop/OMEGA_SYGMA_inheritance/

AGB and massive star tables used



In [2]:

    
table='yield_tables/agb_and_massive_stars_nugrid_MESAonly_fryer12delay.txt'

Setup



In [3]:

    
# OMEGA parameters for MW
mass_loading = 0.0
nb_1a_per_m = 3.0e-3
sfe=0.04
SF_law=True
DM_evolution=False
imf_yields_range=[1.0,30.0]
special_timesteps=30
Z_trans=0.0
iniZ=0.0001

Default setup



In [4]:

    
o0=o.omega(iniZ=iniZ,galaxy='milky_way',Z_trans=Z_trans, table=table,sfe=sfe, DM_evolution=DM_evolution,\
                  mass_loading=mass_loading, nb_1a_per_m=nb_1a_per_m, special_timesteps=special_timesteps,
                  imf_yields_range=imf_yields_range,
                SF_law=SF_law)









    



OMEGA run in progress..
..Time refinement..
   OMEGA run completed - Run time: 1.54s

Setup with different extra sources

Here we use yields in two (extra source) yield tables which we apply in the mass range from 8Msun to 12Msun and from 12Msun to 30Msun respectively. We apply a factor of 0.5 to the extra yields of the first yield table and 1. to the second yield table.



In [5]:

    
extra_source_table=['yield_tables/mhdjet_NTT_delayed.txt','yield_tables/ndw_wind_expand.001.txt']
#Apply yields only in specific mass ranges;
extra_source_mass_range = [[8,12],[12,30]]
#percentage of stars to which the yields are added. First entry for first yield table etc.
f_extra_source = [0.5,1.]
#metallicity to exclude (in this case none)
extra_source_exclude_Z = [[], []]



In [6]:

    
#you can look at the yields directly with the y1 and y2 parameter below.
y1=ry.read_yield_sn1a_tables(s.global_path+extra_source_table[0])
y2=ry.read_yield_sn1a_tables(s.global_path+extra_source_table[1])

SYGMA



In [7]:

    
s0 = s.sygma(iniZ=0.0001,extra_source_on=False) #default False









    



SYGMA run in progress..
   SYGMA run completed - Run time: 0.48s



In [8]:

    
s0p1 = s.sygma(iniZ=0.0001,extra_source_on=True,
             extra_source_table=extra_source_table,extra_source_mass_range=extra_source_mass_range,
           f_extra_source=f_extra_source, extra_source_exclude_Z=extra_source_exclude_Z)









    



SYGMA run in progress..
   SYGMA run completed - Run time: 0.51s

OMEGA



In [9]:

    
o0p1=o.omega(iniZ=iniZ,galaxy='milky_way',Z_trans=Z_trans, table=table,sfe=sfe, DM_evolution=DM_evolution,\
                  mass_loading=mass_loading, nb_1a_per_m=nb_1a_per_m, special_timesteps=special_timesteps,
                  imf_yields_range=imf_yields_range,SF_law=SF_law,extra_source_on=True,
           extra_source_table=extra_source_table,extra_source_mass_range=extra_source_mass_range,
           f_extra_source=f_extra_source, extra_source_exclude_Z=extra_source_exclude_Z)









    



OMEGA run in progress..
..Time refinement..
   OMEGA run completed - Run time: 1.81s



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