PyMCA
Pymca
http://pymca.sourceforge.net/
Python applications and toolkit for X-ray fluorescence analysis
PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.
The applications included in this package are:
- edfviewer - Display and inspection of data files in ESRF Data
Format * elementsinfo - Displays element specific X-ray data * mca2edf - Converts files from SPEC MCA format to EDF * peakidentifier - Displays X-ray fluorescence peaks in a given energy range * pymcabatch - Batch fitting of spectra * pymcapostbatch - Post-processing of batch fitting results * pymca - Interactive data-analysis * pymcaroitool - Region-of- interest (ROI) imaging tool
The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.
Licensing
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License: gpl-2+
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License: bsd
BSD All rights reserved.
The algorithm FNMA^I was published 28 Dec 2007 in "Statistical Ana- lyis and Data Mining" under the title
"Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem"
Sparse coded NNMA from:
[1] P.O. Hoyer, "Non-negative sparse coding", Neural Networks for Signal Processing XII (Proc. IEEE Workshop on Neural Networks for Signal Processing 2002, Martigny, Switzerland) pp. 557-565, 2002.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
- 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. Neither the name of the <ORGANIZATION>
- nor the names of its contributors may be used to endorse or
- promote products derived from this software without specific
- prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 COPYRIGHT OWNER OR CONTRIBUTORS 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.License
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License: public-domain
public-domain These Python modules have been developed by V.A. Sole, from the European Synchrotron Radiation Facility (ESRF) to make the EADL and EPDL97 libraries easily accessible from Python. Given the nature of this work, these modules can be considered public domain. Therefore redistribution and use in source and binary forms, with or without modification, are permitted provided the following disclaimer is accepted:
THIS SOFTWARE IS PROVIDED BY THE AUTHOR(S) AND THE ESRF ``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(S) AND/OR THE ESRF 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.License
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License: public-domain-2
public-domain-2 The code to calculate the Savitzky-Golay filter coefficients is a shameless copy of the sg_filter.py module from Uwe Schmitt available from http://public.procoders.net/sg_filter
Therefore PyMca author(s) do not claim any ownership of that code and are very grateful to Uwe for making his code available to the
community.License
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License: mit
License
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License: bsd
BSD All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright
- notice, this list of conditions and the following disclaimer.
- 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. Neither the name of the <ORGANIZATION>
- nor the names of its contributors may be used to endorse or
- promote products derived from this software without specific
- prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "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 COPYRIGHT OWNER OR CONTRIBUTORS 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.License
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License: bsd
BSD Copyright (c) 2010 Matthew Newville, The University of Chicago
Permission to use and redistribute the source code or binary forms of this software and its documentation, with or without modification is hereby granted provided that the above notice of copyright, these terms of use, and the disclaimer of warranty below appear in the source code and documentation, and that none of the names of The University of Chicago, The University of Washington, or the authors appear in advertising or endorsement of works derived from this software without specific prior written permission from all parties.
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 THIS SOFTWARE.License
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Debian: Picca Frédéric-Emmanuel <picca@debian.org>
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License: lgpl-2+
License
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License: bsd
Leaders and contributors
Contact(s) | Role |
---|---|
V. Armando Sole | contact |
Resources and communication
Audience | Resource type | URI |
---|---|---|
Debian (Ref) (R) | https://tracker.debian.org/pkg/pymca |
Software prerequisites
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