#what about a geotherm defined from datapoints given in a file (our inline)?
table = [[1e9,1600],[30e9,1700],[130e9,2700]]
#this could also be loaded from a file, just uncomment this
#table = tools.read_table("data/example_geotherm.txt")
table_pressure = np.array(table)[:,0]
table_temperature = np.array(table)[:,1]
my_geotherm = lambda p: burnman.tools.lookup_and_interpolate(table_pressure, table_temperature, p)
temperature4 = [my_geotherm(p) for p in pressures]
#finally, we can also calculate a self consistent geotherm for an assemblage of minerals
#based on self compression of the composite rock. First we need to define an assemblage
phases = [minerals.mg_fe_perovskite(0.1), minerals.ferropericlase(0.4)]
for ph in phases:
ph.set_method("mgd")
molar_abundances = [0.7, 0.3]
#next, define an anchor temperature at which we are starting. Perhaps 1500 K for the upper mantle
T0 = 1500.
#then generate temperature values using the self consistent function. This takes more time than the above methods
temperature5 = burnman.geotherm.self_consistent(pressures, T0, phases, molar_abundances)
#you can also look at burnman/geotherm.py to see how the geotherms are implemented
plt.plot(pressures/1e9,temperature1,'-r',label="Brown, Shankland")
plt.plot(pressures/1e9,temperature2,'-g',label="Watson, Baxter")
plt.plot(pressures/1e9,temperature3,'-b',label="handwritten linear")
plt.plot(pressures/1e9,temperature4,'-k',label="handwritten from table")
import os, sys, numpy as np, matplotlib.pyplot as plt
#hack to allow scripts to be placed in subdirectories next to burnman:
if not os.path.exists('burnman') and os.path.exists('../burnman'):
sys.path.insert(1,os.path.abspath('..'))
import burnman
from burnman import minerals
from burnman import tools
if __name__ == "__main__":
phases = [minerals.stishovite(), \
minerals.periclase(), \
minerals.wustite(), \
minerals.ferropericlase(0), \
minerals.mg_fe_perovskite(0), \
minerals.mg_perovskite(), \
minerals.fe_perovskite(), \
minerals.Catalli_fe_perovskite("on"), \
minerals.Murakami_fe_perovskite(), \
minerals.Murakami_fe_periclase("on")]
#minerals.Speziale_fe_periclase("on"), \
#mg_fe_perovskite_pt_dependent
#ferropericlase_pt_dependent
params = ['ref_V','ref_K','K_prime','ref_mu','mu_prime','molar_mass','n','ref_Debye','ref_grueneisen','q0','eta_0s']
def create_list(mineral,paramname):
row = [ p.__class__.__name__ ]
for param in params: