def material_error(amount_perovskite):
phases = [minerals.Murakami_fe_perovskite(), minerals.Murakami_fe_periclase_LS()]
molar_abundances = [amount_perovskite, 1.0-amount_perovskite]
for ph in phases:
ph.set_method(method)
print "Calculations are done for:"
for i in range(len(phases)):
print molar_abundances[i], " of phase", phases[i].to_string()
mat_rho, mat_vp, mat_vs, mat_vphi, mat_K, mat_mu = burnman.calculate_velocities(seis_p, temperature, phases, molar_abundances)
#[rho_err,vphi_err,vs_err]=burnman.compare_with_seismic_model(mat_vs,mat_vphi,mat_rho,seis_vs,seis_vphi,seis_rho)
[rho_err,vphi_err,vs_err]=burnman.compare_two(depths,mat_vs,mat_vphi,mat_rho,seis_vs,seis_vphi,seis_rho)
return vs_err, vphi_err
#input your geotherm. Either choose one (See example_geotherms.py) or create one.We'll use Brown and Shankland.
geotherm = burnman.geotherm.brown_shankland
temperature = [geotherm(p) for p in seis_p]
#Now we'll calculate the models.
for ph in phases:
ph.set_method(method_1)
print "Calculations are done for:"
for i in range(len(phases)):
print molar_abundances[i], " of phase", phases[i].to_string()
mat_rho_1, mat_vp_1, mat_vs_1, mat_vphi_1, mat_K_1, mat_mu_1 = burnman.calculate_velocities(seis_p, temperature, phases, molar_abundances)
for ph in phases:
ph.set_method(method_2)
print "Calculations are done for:"
for i in range(len(phases)):
print molar_abundances[i], " of phase", phases[i].to_string()
mat_rho_2, mat_vp_2, mat_vs_2, mat_vphi_2, mat_K_2, mat_mu_2 = burnman.calculate_velocities(seis_p, temperature, phases, molar_abundances)
for ph in phases:
ph.set_method(method_3)
print "Calculations are done for:"
for i in range(len(phases)):
'ref_grueneisen': 1.368, #Gruneisen parameter for material. See Stixrude & Lithgow-Bertelloni, 2005 for values
'q0': 0.917, #q value used in caluclations. See Stixrude & Lithgow-Bertelloni, 2005 for values
'eta_0s': 3.0} #eta value used in calculations. See Stixrude & Lithgow-Bertelloni, 2005 for values
phases = [ own_material() ]
molar_abundances = [ 1.0 ]
#seismic model for comparison:
seismic_model = burnman.seismic.prem() # pick from .prem() .slow() .fast() (see burnman/seismic.py)
number_of_points = 20 #set on how many depth slices the computations should be done
depths = np.linspace(700,2800, number_of_points)
#depths = seismic_model.internal_depth_list()
seis_p, seis_rho, seis_vp, seis_vs, seis_vphi = seismic_model.evaluate_all_at(depths)
geotherm = burnman.geotherm.brown_shankland
temperature = [geotherm(p) for p in seis_p]
for ph in phases:
ph.set_method(method)
print "Calculations are done for:"
for i in range(len(phases)):
print molar_abundances[i], " of phase", phases[i].to_string()
mat_rho, mat_vp, mat_vs, mat_vphi, mat_K, mat_mu = burnman.calculate_velocities(seis_p, temperature, phases, molar_abundances)
[rho_err,vphi_err,vs_err]=burnman.compare_with_seismic_model(mat_vs,mat_vphi,mat_rho,seis_vs,seis_vphi,seis_rho)
# Here the compositions are implemented as fixed minerals. For other options see example_composition.py
# Example 1 ferropericlase with spin transition from Murakami et al. 2012
if True:
phases = [minerals.Murakami_fe_perovskite(), minerals.Murakami_fe_periclase()]
amount_perovskite = 0.
molar_abundances = [amount_perovskite, 1.0-amount_perovskite]
for ph in phases:
ph.set_method(method)
print "Calculations are done for:"
for i in range(len(phases)):
print molar_abundances[i], " of phase", phases[i].to_string()
mat_rho, mat_vp, mat_vs, mat_vphi, mat_K, mat_mu = burnman.calculate_velocities(seis_p, temperature, phases, molar_abundances)
# plot example 1
plt.subplot(2,2,1)
plt.plot(seis_p/1.e9,mat_vs,color='b',linestyle='-',marker='o',markerfacecolor='b',markersize=4,label='Vs')
plt.plot(seis_p/1.e9,mat_vphi,color='r',linestyle='-',marker='o',markerfacecolor='r',markersize=4, label='Vp')
plt.plot(seis_p/1.e9,mat_rho,color='k',linestyle='-',marker='o',markerfacecolor='k',markersize=4, label='rho')
plt.title("ferropericlase (Murakami et al. 2012)")
plt.xlim(min(seis_p)/1.e9,max(seis_p)/1.e9)
plt.ylim(5,6.5)
plt.legend(loc='upper left')
# example 2:
molar_abundances = [1.0]
phases = [minerals.Murakami_fe_periclase_LS()]
#input your geotherm. Either choose one (See example_geotherms.py) or create one.We'll use Brown and Shankland.
geotherm = burnman.geotherm.brown_shankland
temperature_2 = [geotherm(p) for p in seis_p_2]
#Now we'll calculate the models.
for ph in phases_1:
ph.set_method(method_1)
print "Calculations are done for:"
for i in range(len(phases_1)):
print molar_abundances_1[i], " of phase", phases_1[i].to_string()
mat_rho_1, mat_vp_1, mat_vs_1, mat_vphi_1, mat_K_1, mat_mu_1 = burnman.calculate_velocities(seis_p_1, temperature_1, phases_1, molar_abundances_1)
for ph in phases_2:
ph.set_method(method_2)
print "Calculations are done for:"
for i in range(len(phases_2)):
print molar_abundances_2[i], " of phase", phases_2[i].to_string()
mat_rho_2, mat_vp_2, mat_vs_2, mat_vphi_2, mat_K_2, mat_mu_2 = burnman.calculate_velocities(seis_p_2, temperature_2, phases_2, molar_abundances_2)
##Now let's plot the comparison. You can conversely just output to a data file (see example_woutput.py)
plt.subplot(2,2,1)
plt.plot(seis_p_1/1.e9,mat_vs_1,color='r',linestyle='-',marker='^',markerfacecolor='r',markersize=4)
seis_p_2 = np.arange(25e9, 125e9, 5e9)
#input your geotherm. Either choose one (See example_geotherms.py) or create one.We'll use Brown and Shankland.
geotherm = burnman.geotherm.brown_shankland
temperature_2 = [geotherm(p) for p in seis_p_2]
#Now we'll calculate the models.
for ph in phases_pyro:
ph.set_method(method)
mat_rho_pyro, mat_vp_pyro, mat_vs_pyro, mat_vphi_pyro, mat_K_pyro, mat_mu_pyro = burnman.calculate_velocities(seis_p_1, temperature_1, phases_pyro, molar_abundances_pyro)
print "Calculations are done for:"
for i in range(len(phases_pyro)):
print molar_abundances_pyro[i], " of phase", phases_pyro[i].to_string()
for ph in phases_enst:
ph.set_method(method)
print "Calculations are done for:"
for i in range(len(phases_enst)):
print molar_abundances_enst[i], " of phase", phases_enst[i].to_string()
mat_rho_enst, mat_vp_enst, mat_vs_enst, mat_vphi_enst, mat_K_enst, mat_mu_enst = burnman.calculate_velocities(seis_p_2, temperature_2, phases_enst, molar_abundances_enst)
