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#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2014 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
#############################################################################*/
__author__ = "V.A. Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import numpy
from PyMca5 import DataObject
from PyMca5.PyMcaIO import specfilewrapper as specfile
SOURCE_TYPE = "SpecFileStack"
class OpusDPTMap(DataObject.DataObject):
def __init__(self, filename):
DataObject.DataObject.__init__(self)
sf = specfile.Specfile(filename)
scan = sf[1]
data = scan.data()
nMca, nchannels = data.shape
nMca = nMca - 1
xValues = data[0, :] * 1
xValues.shape = -1
if 0:
self.data = numpy.zeros((nMca, nchannels), numpy.float32)
self.data[:, :] = data[1:, :]
self.data.shape = 1, nMca, nchannels
else:
self.data = data[1:, :]
self.data.shape = 1, nMca, nchannels
data = None
#perform a least squares adjustment to a line
x = numpy.arange(nchannels).astype(numpy.float32)
Sxy = numpy.dot(x, xValues.T)
Sxx = numpy.dot(x, x.T)
Sx = x.sum()
Sy = xValues.sum()
d = nchannels * Sxx - Sx * Sx
zero = (Sxx * Sy - Sx * Sxy) / d
gain = (nchannels * Sxy - Sx * Sy) / d
#and fill the requested information to be identified as a stack
self.info['SourceName'] = [filename]
self.info["SourceType"] = "SpecFileStack"
self.info["Size"] = 1, nMca, nchannels
self.info["NumberOfFiles"] = 1
self.info["FileIndex"] = 0
self.info["McaCalib"] = [zero, gain, 0.0]
self.info["Channel0"] = 0.0
def main():
import sys
filename = None
if len(sys.argv) > 1:
filename = sys.argv[1]
if filename is not None:
OpusDPTMap(filename)
else:
print("Please supply input filename")
if __name__ == "__main__":
main()
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