from __future__ import print_function
import matplotlib.pyplot as plt
import numpy as np
import burnman
import warnings
if __name__ == '__main__':
# FIRST: we must define the composition of the planet as individual layers.
# A layer is defined by 4 parameters: Name, min_depth, max_depth,and number of slices within the layer.
# Separately the composition and the temperature_mode need to set.
radius_planet = 6371.e3
# inner_core
inner_core = burnman.Layer('inner core', radii=np.linspace(0, 1220.e3, 10))
inner_core.set_material(burnman.minerals.other.Fe_Dewaele())
# The minerals that make up our core do not currently implement the thermal equation of state, so we will set the temperature at 300 K.
inner_core.set_temperature_mode('user-defined',
300. * np.ones_like(inner_core.radii))
# outer_core
outer_core = burnman.Layer('outer core',
radii=np.linspace(1220.e3, 3480.e3, 10))
outer_core.set_material(burnman.minerals.other.Liquid_Fe_Anderson())
# The minerals that make up our core do not currently implement the thermal equation of state, so we will define the temperature at 300 K.
outer_core.set_temperature_mode('user-defined',
300. * np.ones_like(outer_core.radii))
# Next the Mantle.
if example_layer:
modelname = 'perovskitic_mantle'
# This is the first actual work done in this example. We define
# composite object and name it "rock".
mg_fe_perovskite = minerals.SLB_2011.mg_fe_perovskite()
mg_fe_perovskite.set_composition(
[0.9, 0.1, 0]) # frac_mg, frac_fe, frac_al
rock = burnman.Composite([mg_fe_perovskite], [1.])
# We create an array of 20 depths at which we want to evaluate the
# layer at
depths = np.linspace(2890e3, 670e3, 20)
# Here we define the lower mantle as a Layer(). The layer needs various
# parameters to set a depth array and radius array.
lower_mantle = burnman.Layer(
name='Perovskitic Lower Mantle',
radii=6371.e3 - depths)
# Here we set the composition of the layer as the above defined 'rock'.
lower_mantle.set_material(rock)
# Now we set the temperature mode of the layer.
# Here we use an adiabatic temperature and set the temperature at the
# top of the layer
lower_mantle.set_temperature_mode(
temperature_mode='adiabatic',
temperature_top=1900.)
# And we set a self-consistent pressure. The pressure at the top of the layer and
# gravity at the bottom of the layer are given by the PREM.
pressure, gravity = burnman.seismic.PREM().evaluate(
['pressure', 'gravity'], depths)
minerals.SLB_2011.periclase()], [0.8, 0.2])
# Here we create and load the PREM seismic velocity model, which will be
# used for comparison with the seismic velocities of the "rock" composite
seismic_model = burnman.seismic.PREM()
# We create an array of 20 depths at which we want to evaluate PREM, and then
# query the seismic model for the pressure, density, P wave speed, S wave
# speed, and bulk sound velocity at those depths
depths = np.linspace(2890e3, 670e3, 20)
pressure, gravity, seis_rho, seis_vp, seis_vs, seis_bullen = seismic_model.evaluate(
['pressure', 'gravity', 'density', 'v_p', 'v_s', 'bullen'], depths)
# Here we define the lower mantle as a Layer(). The layer needs various
# parameters to set a depth array and radius array.
lower_mantle = burnman.Layer(name='Lower Mantle', radii=6371.e3 - depths)
# Here we set the composition of the layer as the above defined 'rock'.
lower_mantle.set_material(rock)
# Now we set the temperature mode of the layer.
# Here we use an adiabatic temperature and set the temperature at the top of the layer
lower_mantle.set_temperature_mode(temperature_mode='adiabatic',
temperature_top=1900.)
#Alternatively, we choose a user-defined temperature, given by the Brown & Shankland geotherm
#lower_mantle.set_temperature_mode(temperature_mode ='user_defined',
# temperatures =burnman.geotherm.brown_shankland(depths))
# And we set a self-consistent pressure. The pressure at the top of the layer and
# gravity at the bottom of the layer are given by the PREM.
lower_mantle.set_pressure_mode(pressure_mode='self-consistent',
pressure_top=pressure[-1],