mstm-gui.py
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#!/usr/bin/python
from mstm_materials import *
from mstm_parameters import *
from mstm_simparser import *
import time
import sys
#PyQt4 libraries
from PyQt4 import QtGui
from PyQt4 import QtCore
from PyQt4 import uic
class GuiWindow(QtGui.QMainWindow):
params = ParameterClass('msinput.inp')
def setParams(self):
#update the Gui based on values in the parameters structure
self.ui.spinStartLambda.setValue(self.params.minLambda)
self.ui.spinEndLambda.setValue(self.params.maxLambda)
self.ui.spinNumSamples.setValue(self.params.nSamples)
self.ui.spinNumSpheres.setValue(int(self.params['number_spheres']))
#self.ui.spinAlpha.setValue(float(self.params['incident_azimuth_angle_deg']))
#self.ui.spinBeta.setValue(float(self.params['incident_polar_angle_deg']))
fi = QtCore.QFileInfo(self.params.matFilename)
self.ui.txtMaterial.setText(fi.baseName())
#update global parameters for the dimer simulation
self.ui.spinSpacing.setValue(d)
def getParams(self):
self.params.minLambda = self.ui.spinStartLambda.value()
self.params.maxLambda = self.ui.spinEndLambda.value()
self.params.nSamples = self.ui.spinNumSamples.value()
self.params.nSpheres = self.ui.spinNumSpheres.value()
self.params['incident_azimuth_angle_deg'] = self.ui.spinAlpha.value()
self.params['incident_polar_angle_deg'] = self.ui.spinBeta.value()
#global parameters for dimers
d = self.ui.spinSpacing.value()
return self.params
def simulate(self):
self.results = RunSimulation(self.params)
def saveresults(self):
fileName = QtGui.QFileDialog.getSaveFileName(w, 'Save Spectral Results', '', 'DAT data files (*.dat)')
if fileName:
self.results.saveFile(fileName)
def loadmaterial(self):
fileName = QtGui.QFileDialog.getOpenFileName(w, 'Load Material Refractive Index', '', 'TXT data files (*.txt)')
if fileName:
self.params.matFilename = fileName
fi = QtCore.QFileInfo(fileName)
self.ui.txtMaterial.setText(fi.baseName())
def __init__(self):
QtGui.QWidget.__init__(self)
#dimer-specific settings
self.params['number_spheres'] = 2
self.params['sphere_position_file'] = ''
#load the UI window
self.ui = uic.loadUi('mstm_guiwindow.ui')
#update the displayed parameters
self.setParams()
#display the UI
self.ui.show()
#simulation button
self.connect(self.ui.btnSimulate, QtCore.SIGNAL("clicked()"), self.simulate)
self.connect(self.ui.mnuSaveResults, QtCore.SIGNAL("triggered()"), self.saveresults)
self.connect(self.ui.mnuLoadMaterial, QtCore.SIGNAL("triggered()"), self.loadmaterial)
class ProgressBar(QtGui.QWidget):
def __init__(self, parent=None, total=20):
super(ProgressBar, self).__init__(parent)
self.name_line = QtGui.QLineEdit()
self.progressbar = QtGui.QProgressBar()
self.progressbar.setMinimum(1)
self.progressbar.setMaximum(total)
main_layout = QtGui.QGridLayout()
main_layout.addWidget(self.progressbar, 0, 0)
self.setLayout(main_layout)
self.setWindowTitle("Progress")
def update_progressbar(self, val):
self.progressbar.setValue(val)
def RunSimulation(parameters):
#load the material
material = MaterialClass(parameters.matFilename)
#add water if necessary
if parameters.inWater:
material.addSolution(1.33)
#set the parameters based on the UI
parameters = w.getParams()
#range for simulation
minLambda = parameters.minLambda
maxLambda = parameters.maxLambda
nSamples = parameters.nSamples
#store the simulation results
results = SimParserClass()
#create a progress bar
pbar = ProgressBar(total=nSamples)
pbar.show()
#for each wavelength in the material
for i in range(nSamples):
l = minLambda + i*(maxLambda - minLambda)/(nSamples - 1)
#set the computed parameters
m = material[l]
n = m.n
parameters['real_ref_index_scale_factor'] = n.real
parameters['imag_ref_index_scale_factor'] = n.imag
parameters['length_scale_factor'] = (2.0 * 3.14159)/l
parameters['scattering_plane_angle_deg'] = gamma;
parameters.clearSpheres()
parameters.addSphere(a, -(d + 2*a)/2, 0, 0)
parameters.addSphere(a, (d + 2*a)/2, 0, 0)
#save the scripted input file
parameters.saveFile('scriptParams.inp')
#run the binary
from subprocess import call
devnull = open('/dev/null', 'w')
call(["./ms-tmatrix", "scriptParams.inp"], stdout=devnull)
results.parseSimFile(l, 'test.dat')
#update the progress bar
pbar.update_progressbar(i+1)
#plot results of interest
import matplotlib.pyplot as plt
wl = results['lambda']
unpol = results['extinction_unpolarized']
para = results['extinction_parallel']
perp = results['extinction_perpendicular']
plt.plot(wl, unpol, 'r-', wl, para, 'g-', wl, perp, 'b-')
plt.ylabel('Extinction')
plt.xlabel('Wavelength (um)')
plt.show()
#return the results
return results;
#input template file name
inpFilename = 'msinput.inp'
#output spectral file name
outFilename = 'spectralOut.txt'
#sphere radii
a = 0.025
#distance between spheres
d = 0.002
#incident light directions
alpha = 0
beta = 0
gamma = 0
#results stored for each spectral sample
resultLabels = {'lambda', 'extinction_unpolarized', 'extinction_parallel', 'extinction_perpendicular'}
outFile = open(outFilename, 'w')
#number of characters in the progress bar
pb_max = 50
#create a Qt window
app = QtGui.QApplication(sys.argv)
w = GuiWindow()
sys.exit(app.exec_())