#!/usr/bin/env python
""":module RadHydroInputPlots: Hosts utilities to plot target absorption profiles."""
##########################################################################
# #
# Copyright (C) 2017-2018 Carsten Fortmann-Grote, Richard Briggs #
# Contact: Carsten Fortmann-Grote <carsten.grote@xfel.eu> #
# #
# This file is part of simex_platform. #
# simex_platform is free software: you can redistribute it and/or modify #
# it under the terms of the GNU General Public License as published by #
# the Free Software Foundation, either version 3 of the License, or #
# (at your option) any later version. #
# #
# simex_platform is distributed in the hope that it will be useful, #
# but WITHOUT ANY WARRANTY; without even the implied warranty of #
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
# GNU General Public License for more details. #
# #
# You should have received a copy of the GNU General Public License #
# along with this program. If not, see <http://www.gnu.org/licenses/>. #
# #
##########################################################################
""" Collection of utilities to analyse output from (esther) rad-hydro simulations. """
import numpy
from matplotlib import pyplot
from xraydb import XrayDB
[docs]def plotTransmission(symbol, edge="K", thickness=0.001, energies=None):
""" Plots absorption in a given material as function of wavelength.
:param symbol: The chemical symbol of the material.
:type symbol: str
:param edge: The requested absorption edge (K, L1, L2, M1, M2, ...)
:type edge: str
:param thickness: The material thickness in centimeters."
:type thickness: float
:param energies: For which energies to plot the transmission.
:type energies: ndarray
"""
# Instantiate the database.
xdb = XrayDB()
# Get info on requested edge.
edge_data = xdb.xray_edge(symbol, edge)
edge_position = edge_data[0]
# Mass density (ambient).
rho = xdb.density(symbol)
# Fix energy range.
min_energy = 0.7*edge_position
max_energy = 1.3*edge_position
# Setup arrays
if energies is None:
energies = numpy.linspace(min_energy, max_energy, 1024)
mu = xdb.mu_chantler(symbol, energy=energies)
# Convert to iterable if needed.
if not hasattr(thickness, "__iter__"):
thickness = [thickness]
absorption = [numpy.exp(-mu*rho*th) for th in thickness]
for i,abso in enumerate(absorption):
pyplot.plot(energies, abso, lw=2, label=r"%3.1f $\mu$m" % (thickness[i] * 1e4))
pyplot.xlabel('Energy (eV)')
pyplot.ylabel('Transmission')
pyplot.legend()
pyplot.title("%s %s-edge" % (symbol, edge))
pyplot.show()
[docs]def plotTargetAndTransmission(symbol, edge="K", thickness=0.001, energies=None, ablator_thickness=0.0025):
""" Plots absorption in a given material as function of wavelength.
:param symbol: The chemical symbol of the material.
:type symbol: str
:param edge: The requested absorption edge (K, L1, L2, M1, M2, ...)
:type edge: str
:param thickness: The material thickness in centimeters."
:type thickness: float
:param energies: For which energies to plot the transmission.
:type energies: ndarray
:param ablator_thickness: Thickness of ablator
:type ablator_thickness: float
"""
# Instantiate the database.
xdb = XrayDB()
# Get info on requested edge.
edge_data = xdb.xray_edge(symbol, edge)
edge_position = edge_data[0]
# Mass density (ambient).
rho = xdb.density(symbol)
# Fix energy range.
min_energy = 0.7*edge_position
max_energy = 1.3*edge_position
# Setup arrays
if energies is None:
energies = numpy.linspace(min_energy, max_energy, 1024)
mu = xdb.mu_chantler(symbol, energy=energies)
# Convert to iterable if needed.
if not hasattr(thickness, "__iter__"):
thickness = [thickness]
pyplot.figure(num=None, figsize=(10, 8), dpi=100, facecolor='w', edgecolor='k')
pyplot.subplot(221)
pyplot.xlabel('Energy (eV)')
pyplot.ylabel('Transmission')
pyplot.legend()
pyplot.title("%s %s-edge" % (symbol, edge))
pyplot.subplot(223)
absorption = [numpy.exp(-mu*rho*th) for th in thickness]
for i,abso in enumerate(absorption):
pyplot.plot(energies, abso, lw=2, label=r"%3.1f $\mu$m" % (thickness[i] * 1e4))
pyplot.xlabel('Energy (eV)')
pyplot.ylabel('Transmission')
pyplot.legend()
pyplot.title("%s %s-edge" % (symbol, edge))
pyplot.tight_layout()
pyplot.show()
if __name__ == "__main__":
plotTransmission("Fe", thickness=0.001)
