def loadXrayData():
#Kalpha1, Kalpha2, Kbeta1, KalphaMean, AbsorptionK, Voltage
elementWavelength = fg.readLines(FILE_XRAY_SOURCES_WAVELENGTHS)
header = elementWavelength[0].strip().split("\t")
xRayData = {}
for line in elementWavelength[1:]:
newElementWavelength = line.split("\t")
xRayData[newElementWavelength[0]] = {header[1]: int(newElementWavelength[1]),
header[6]: float(newElementWavelength[6]), header[7]: float(newElementWavelength[7])}
xRayData[newElementWavelength[0]][header[2]] = {"Wavelength": float(newElementWavelength[2])}
xRayData[newElementWavelength[0]][header[3]] = {"Wavelength": float(newElementWavelength[3])}
xRayData[newElementWavelength[0]][header[4]] = {"Wavelength": float(newElementWavelength[4])}
xRayData[newElementWavelength[0]][header[5]] = {"Wavelength": float(newElementWavelength[5])}
elementEnergies = fg.readLines(FILE_XRAY_SOURCES_ENERGIES)
headerEg = elementEnergies[0].strip().split("\t")
for lineEg in elementEnergies[1:]:
newElementEnergies = lineEg.split("\t")
#xRayData[newElementEnergies[0]][headerEg[1]] = int(newElementEnergies[1])
xRayData[newElementEnergies[0]][headerEg[8]] = float(newElementEnergies[8])
xRayData[newElementEnergies[0]][headerEg[9]] = float(newElementEnergies[9])
bf.setdict2(xRayData[newElementEnergies[0]], headerEg[2], 'Energy', float(newElementEnergies[2]))
bf.setdict2(xRayData[newElementEnergies[0]], headerEg[3], 'Energy', float(newElementEnergies[3]))
bf.setdict2(xRayData[newElementEnergies[0]], headerEg[4], 'Energy', float(newElementEnergies[4]))
bf.setdict2(xRayData[newElementEnergies[0]], headerEg[5], 'Energy', float(newElementEnergies[5]))
bf.setdict2(xRayData[newElementEnergies[0]], headerEg[6], 'Energy', float(newElementEnergies[6]))
bf.setdict2(xRayData[newElementEnergies[0]], headerEg[7], 'Energy', float(newElementEnergies[7]))
xRayData[newElementEnergies[0]]['KalphaMean']['Energy'] = (xRayData[newElementEnergies[0]]['Kalpha1']['Energy']
+ xRayData[newElementEnergies[0]]['Kalpha2']['Energy']) / 2
return xRayData
def initStressAnalysisSettings(*args):
# default values
settings = {
"method": "ED",
"showPlots": True,
"showDeviation": False,
"anode": "",
"material": "Fe",
"a0Val": 0.28665,
"decList": np.array([]),
"maxPsi": 45
} # 'ED', 'AD'
if len(args) % 2 == 0:
# set specified values
for i in range(0, len(args), 2):
if bf.hasKey(
settings,
args[i]): # adding new entries is currently not allowed
settings[args[i]] = args[i + 1]
elif len(args) == 1:
# file with settings is specified
lines = fg.readLines(args[0])
for line in lines:
lineData = line.split('\t')
if lineData[1].startswith('['):
settings[lineData[0]] = bf.strArray2npArray(lineData[1])
else:
settings[lineData[0]] = eval(lineData[1])
return settings
def initPeakfitSettings(*args):
# default values
settings = {
"peakFunction": "Gauss",
"withGraphic": 1,
"peakZones": 1,
"withCorrection": 0,
"withFourier": 0,
"bestWindow": 0,
"onlyValues": 0,
"toEnergies": 0,
"par": 0,
"parDeadTime": 0,
"saveExcel": 0,
"saveText": 1,
"confInterval": 0
} # 'Gauss', 'Pearson7', 'Lorentz', 'PseudoVoigt'
if len(args) % 2 == 0:
# set specified values
for i in range(0, len(args), 2):
if bf.hasKey(
settings,
args[i]): # adding new entries is currently not allowed
settings[args[i]] = args[i + 1]
elif len(args) == 1:
# file with settings is specified
lines = fg.readLines(args[0])
for line in lines:
lineData = line.split('\t')
if lineData[1].startswith('['):
settings[lineData[0]] = bf.strArray2npArray(lineData[1])
else:
settings[lineData[0]] = eval(lineData[1])
return settings
def importFileHeader(importFile='', delim='\t', withMetaLine=False,
fileType=(('Data file', '*.txt'), ('Data file', '*.dat')), diagTitle='Select data file', multiSel='off'):
if len(importFile) == 0:
importFile = fg.requestFiles(fileType, diagTitle, multiSel)
importFile = importFile[0]
if len(importFile) > 0:
# read header from file
if withMetaLine:
heading = fg.readLines(importFile, 2)
# first line consists of comments or metadata
metaInfo = heading[0]
# second line contains header information
heading = bf.split(heading[1], delim)
else:
heading = fg.readLines(importFile, 1)
metaInfo = ''
heading = bf.split(heading[0], '\t')
return heading, metaInfo
def loadMaterialData():
#Name Lattice parameter Lattice file
data = fg.readLines(FILE_SAMPLE_MATERIALS)
materialData = {}
for line in data[0:]:
lineData = line.split("\t")
materialData[lineData[0]] = {"a": float(lineData[1])}
materialData[lineData[0]]["dec"] = fg.dlmread(lineData[2].strip(), "\t", 1)
return materialData
def getSpectrumFromFile(specFile="", dataDelim='\t', headerLines=5):
data = 0
heading = 0
if len(specFile) == 0:
specFile = fg.requestFiles((('Text file', '*.txt'),), 'Spektrumdatei auswaehlen', 'off')
if len(specFile) > 0:
#Read data from file
heading = fg.readLines(specFile, headerLines)
data = fg.dlmread(specFile, dataDelim, headerLines)
return data, heading
def initFinalFileSettings(*args):
# default values
settings = {"type": "H4_1", "unused": np.array([1, 2]), "energy": 0, "anode": "",
"pars": np.array([])} # 'EDDI', 'ED', 'AD', 'Seifert', 'SeifertM', 'H4_1', 'H4_2', 'P61_0' or 'P61_1'
if len(args) % 2 == 0:
# set specified values
for i in range(0, len(args), 2):
if bf.hasKey(settings, args[i]): # adding new entries is currently not allowed
settings[args[i]] = args[i + 1]
elif len(args) == 1:
# file with settings is specified
lines = fg.readLines(args[0])
for line in lines:
lineData = line.split('\t')
if lineData[1].startswith('['):
settings[lineData[0]] = bf.strArray2npArray(lineData[1])
else:
settings[lineData[0]] = eval(lineData[1])
return settings