Section 2.1: Tracing the origin of C

Result: Identification of which star is responsible for the origin of C



In [2]:

    
import matplotlib.pyplot as plt
import sygma
import omega
import stellab



In [3]:

    
#loading the observational data module STELLAB
stellab = stellab.stellab()

Simulation of the Milky Way



In [4]:

    
# OMEGA parameters for MW
mass_loading = 1     # How much mass is ejected from the galaxy per stellar mass formed
nb_1a_per_m = 3.0e-3  # Number of SNe Ia per stellar mass formed
sfe = 0.005           # Star formation efficiency, which sets the mass of gas
table = 'yield_tables/isotope_yield_table_MESA_only_ye.txt' # Yields for AGB and massive stars
#milky_way

o_mw = omega.omega(galaxy='milky_way',Z_trans=-1, table=table,sfe=sfe, DM_evolution=True,\
                  mass_loading=mass_loading, nb_1a_per_m=nb_1a_per_m, special_timesteps=60)









    



OMEGA run in progress..
..Time refinement..
   OMEGA run completed - Run time: 6.29s

Comparison of chemical evolution prediction with observation



In [5]:

    
# Choose abundance ratios
%matplotlib nbagg
xaxis = '[Fe/H]'
yaxis = '[C/Fe]'

# Plot observational data points (Stellab)
stellab.plot_spectro(xaxis=xaxis, yaxis=yaxis,norm='Grevesse_Noels_1993',galaxy='milky_way',show_err=False)

# Extract the numerical predictions (OMEGA)
xy_f = o_mw.plot_spectro(fig=3,xaxis=xaxis,yaxis=yaxis,return_x_y=True)

# Overplot the numerical predictions (they are normalized according to Grevesse & Noels 1993)
plt.plot(xy_f[0],xy_f[1],linewidth=4,color='w')
plt.plot(xy_f[0],xy_f[1],linewidth=2,color='k',label='OMEGA')

# Update the existing legend
plt.legend(loc='center left', bbox_to_anchor=(1.01, 0.5), markerscale=0.8, fontsize=13)

# Choose X and Y limits
plt.xlim(-4.5,0.5)
plt.ylim(-1.4,1.6)









    














    











    



Solar value for Fe not found in Bonifacio et al. (2009).  [Fe/H] was not modified.
Solar values for C and Fe not found in Bonifacio et al. (2009).  [C/Fe] was not modified.






    Out[5]:





(-1.4, 1.6)

Tracing back to simple stellar populations.



In [6]:

    
s0p0001=sygma.sygma(iniZ=0.0001)
s0p006=sygma.sygma(iniZ=0.006)









    



SYGMA run in progress..
   SYGMA run completed - Run time: 0.58s
SYGMA run in progress..
   SYGMA run completed - Run time: 0.54s

What is [C/Fe] for two SSPs at Z=0.006 and Z=0.0001?



In [7]:

    
elem='[C/Fe]'
s0p0001.plot_spectro(fig=3,yaxis=elem,marker='D',color='b',label='Z=0.0001')
s0p006.plot_spectro(fig=3,yaxis=elem,label='Z=0.006')

Now lets focus on C. What is the evolution of the total mass of C?



In [8]:

    
# Plot the ejected mass of a certain element
elem='C'
s0p0001.plot_mass(fig=4,specie=elem,marker='D',color='b',label='Z=0.0001')
s0p006.plot_mass(fig=4,specie=elem,label='Z=0.006')

Which stars contribute the most to C?



In [9]:

    
elem='C'
s0p0001.plot_mass_range_contributions(specie=elem,marker='D',color='b',label='Z=0.0001')
s0p006.plot_mass_range_contributions(specie=elem,label='Z=0.006')

Which stellar yields are the most?



In [14]:

    
s0p0001.plot_table_yield(fig=6,iniZ=0.0001,table='yield_tables/isotope_yield_table.txt',yaxis='C-12',
                         masses=[1.0, 1.65, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0],marker='D',color='b',)
s0p006.plot_table_yield(fig=6,iniZ=0.006,table='yield_tables/isotope_yield_table.txt',yaxis='C-12',
                         masses=[1.0, 1.65, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0])



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