'n_samples': 20,
'n_exact_depths': 3,
'n_gl': 20, # number of glaciations
'bottom_depth_m': 10,
'alt': 220, # surface elevation, assumed constant, m
'lat': 44.544,
'rho': 2.67, # g/cm2
# define max allowable parameter values to normalize to
'max_dz_m': 15, # max m of rock eroded each glaciation
'min_dz_m': 0.01, # m
't_gl': 15000,
't_int': 85000,
't_postgl': 15500,
'postgl_shielding':
80, # postglacial shielding correction (for snow/till cover)
'nuclide': nuclide.Be10Qtz(),
# define our parameters for the Neighborhood Algorithm
'ns': 50, # number of samples each iteration
'nr': 25, # number of voronoi cells that we explore in each iteration
'ensemble_size': 10000,
# 'n_best': 200,
'interp_pts': 500,
'tol_reduced_chi2': 2,
}
con['n_params'] = con['n_exact_depths'] + 1
con['dof'] = con['n_samples'] - con['n_params']
con['bottom_depth'] = con['bottom_depth_m'] * 100 * con['rho']
con['max_dz'] = con['max_dz_m'] * 100 * con['rho']
con['min_dz'] = con['min_dz_m'] * 100 * con['rho']
from __future__ import division
import numpy as np
import numpy.random
import matplotlib.pyplot as plt
from cosmogenic import util
import nuclide
import sim
n = nuclide.Be10Qtz()
# get the data from the simulation loaded into memory
concs = np.genfromtxt('concs.txt')
errors = np.genfromtxt('errors.txt')
models = np.genfromtxt('models.txt')
conc_true = np.genfromtxt('conc_true.txt')
conc_meas = np.genfromtxt('conc_meas.txt')
conc_meas_err = n.measurement_error(conc_meas)
ms = np.genfromtxt('ms.txt')
misfits = np.genfromtxt('misfits.txt')
constraints = util.unpickle('constraints.dat')
con = constraints
p = util.unpickle('production_rate.dat')
dof = con['n_gl']
# denormalize the models
ms *= con['max_dz'] / con['rho'] / 100.0
dz_true_m = con['dz_true_m']
# get data for plotting a depth vs time curve
""" Plot production ratio of Al26 and Be10 """
import numpy as np
import pylab
import nuclide
import production
def plot_production_ratio(n1, n2, max_depth_gcm2, npts=200):
""" Plot the production ratio of two nuclides with depth """
z = np.linspace(start=0, stop=max_depth_gcm2, num=npts)
alt = 0
lat = 75
p1 = production.P_tot(z, alt, lat, n1)
p2 = production.P_tot(z, alt, lat, n2)
fig = pylab.figure()
ax = fig.add_subplot(111)
ax.plot(p1 / p2, z)
ax.invert_yaxis()
ax.set_xlabel('n1/n2')
ax.set_ylabel(r'Depth (g/cm^2)')
pylab.show()
return (fig, ax)
if __name__ == "__main__":
plot_production_ratio(nuclide.Al26Qtz(), nuclide.Be10Qtz(), 10680.0)
