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Adding numpy version of numarray's lineshape module from the convolve…
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# lineshape functors | |||
# -*- coding: iso-8859-1 -*- | |||
# | |||
# Copyright (C) 2002 Jochen Küpper <jochen@jochen-kuepper.de> | |||
# | |||
# Redistribution and use in source and binary forms, with or without | |||
# modification, are permitted provided that the following conditions are met: | |||
# | |||
# 1. Redistributions of source code must retain the above copyright notice, | |||
# this list of conditions and the following disclaimer. | |||
# 2. Redistributions in binary form must reproduce the above copyright notice, | |||
# this list of conditions and the following disclaimer in the documentation | |||
# and/or other materials provided with the distribution. | |||
# 3. The name of the author may not be used to endorse or promote products | |||
# derived from this software without specific prior written permission. | |||
# | |||
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED | |||
# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF | |||
# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO | |||
# EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | |||
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, | |||
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; | |||
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, | |||
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR | |||
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF | |||
# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |||
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__doc__ = """Lineshape functors. | |||
The objects defined in this module can be used to calculate numarrays containing | |||
common lineshape-profiles. | |||
For the *Profile classes the profile is only evaluated once for each object and | |||
then reused for each call. If you only use a profile once and you are concerned | |||
about memory consumption you could call the underlying functions directly. | |||
""" | |||
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__author__ = "Jochen Küpper <jochen@jochen-kuepper.de>" | |||
__date__ = "$Date: 2007/03/14 16:35:57 $"[7:-11] | |||
__version__ = "$Revision: 1.1 $"[11:-2] | |||
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import numpy as num | |||
from convolve._lineshape import * | |||
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class Profile(object): | |||
"""An base object to provide a convolution kernel.""" | |||
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def __init__(self, x, w, x0=0.0): | |||
# call init for all superclasses | |||
super(Profile, self).__init__(x, w, x0) | |||
self._recalculate(x, w, x0) | |||
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def __call__(self): | |||
return self._kernel | |||
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def _recalculate(self, x, w, x0): | |||
self._kernel = self._profile(x, w, x0) | |||
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class GaussProfile(Profile): | |||
"""An object for Gauss-folding.""" | |||
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def __init__(self, x, w, x0=0.0): | |||
self._profile = gauss | |||
# call init for all superclasses | |||
super(GaussProfile, self).__init__(x, w, x0) | |||
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class LorentzProfile(Profile): | |||
"""An object for Lorentz-folding.""" | |||
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def __init__(self, x, w, x0=0.0): | |||
self._profile = lorentz | |||
# call init for all superclasses | |||
super(LorentzProfile, self).__init__(x, w, x0) | |||
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class VoigtProfile(Profile): | |||
"""An object for Voigt-folding. | |||
The constructor takes the following parameter: | |||
|x| Scalar or numarray with values to calculate profile at. | |||
|w| Tuple of Gaussian and Lorentzian linewidth contribution | |||
|x0| Center frequency | |||
""" | |||
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def __init__(self, x, w, x0=0.0): | |||
self._profile = voigt | |||
# call init for all superclasses | |||
super(VoigtProfile, self).__init__(x, w, x0) | |||
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## Local Variables: | |||
## mode: python | |||
## mode: auto-fill | |||
## fill-column: 80 | |||
## End: |
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