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Last updated on: 2023-11-14 08:15 [UTC]

Metadata for pymca in main

elementsinfo.desktop - 5.8.0+dfsg-2 ⚙ all

Icon
---
Type: desktop-application
ID: elementsinfo.desktop
Package: pymca
Name:
  C: Elementsinfo
Summary:
  C: Display X-ray fluorescence related atomic properties
Description:
  C: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
  en: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
Categories:
- Science
- Education
- Physics
Icon:
  cached:
  - name: pymca_PyMca.png
    width: 64
    height: 64
  - name: pymca_PyMca.png
    width: 128
    height: 128
  remote:
  - url: e/el/elementsinfo.desktop/13c1803ef38838c9496d3281d1232665/icons/128x128/pymca_PyMca.png
    width: 128
    height: 128
  stock: PyMca
Launchable:
  desktop-id:
  - elementsinfo.desktop

peakidentifier.desktop - 5.8.0+dfsg-2 ⚙ all

Icon
---
Type: desktop-application
ID: peakidentifier.desktop
Package: pymca
Name:
  C: Peakidentifier
Summary:
  C: Find the energy of X-ray spectral lines
Description:
  C: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
  en: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
Categories:
- Science
- Education
- Physics
Icon:
  cached:
  - name: pymca_PyMca.png
    width: 64
    height: 64
  - name: pymca_PyMca.png
    width: 128
    height: 128
  remote:
  - url: p/pe/peakidentifier.desktop/6ef54820dbee523f55adc2c652e12b20/icons/128x128/pymca_PyMca.png
    width: 128
    height: 128
  stock: PyMca
Launchable:
  desktop-id:
  - peakidentifier.desktop

pymca.desktop - 5.8.0+dfsg-2 ⚙ all

Icon
---
Type: desktop-application
ID: pymca.desktop
Package: pymca
Name:
  C: PyMca
Summary:
  C: Analyse X-ray Fluorescence data
Description:
  C: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
  en: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
Categories:
- Education
- Science
- Physics
Icon:
  cached:
  - name: pymca_PyMca.png
    width: 64
    height: 64
  - name: pymca_PyMca.png
    width: 128
    height: 128
  remote:
  - url: p/py/pymca.desktop/1ab2d767771ba026a2562473bc6621a0/icons/128x128/pymca_PyMca.png
    width: 128
    height: 128
  stock: PyMca
Launchable:
  desktop-id:
  - pymca.desktop
Provides:
  mediatypes:
  - image/tiff
  - application/x-hdf
  - application/x-pymca-hdf5
  - application/x-pymca-nexus
  - application/x-pymca-specfile
  - image/x-pymca-edf

pymcaroitool.desktop - 5.8.0+dfsg-2 ⚙ all

Icon
---
Type: desktop-application
ID: pymcaroitool.desktop
Package: pymca
Name:
  C: PyMca ROI tool
Summary:
  C: Region Of Interest imaging tool
Description:
  C: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
  en: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
Categories:
- Science
- Education
- Physics
Icon:
  cached:
  - name: pymca_PyMca.png
    width: 64
    height: 64
  - name: pymca_PyMca.png
    width: 128
    height: 128
  remote:
  - url: p/py/pymcaroitool.desktop/94cdcbc935c09ce992afe2b2b253af98/icons/128x128/pymca_PyMca.png
    width: 128
    height: 128
  stock: PyMca
Launchable:
  desktop-id:
  - pymcaroitool.desktop
Provides:
  mediatypes:
  - image/tiff
  - application/x-hdf
  - application/x-pymca-hdf5
  - application/x-pymca-nexus
  - application/x-pymca-specfile
  - image/x-pymca-edf

pymcapostbatch.desktop - 5.8.0+dfsg-2 ⚙ all

Icon
---
Type: desktop-application
ID: pymcapostbatch.desktop
Package: pymca
Name:
  C: PyMca Postbatch
Summary:
  C: PyMca batch result analysis application
Description:
  C: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
  en: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
Categories:
- Education
- Science
- DataVisualization
- Physics
Icon:
  cached:
  - name: pymca_PyMca.png
    width: 64
    height: 64
  - name: pymca_PyMca.png
    width: 128
    height: 128
  remote:
  - url: p/py/pymcapostbatch.desktop/1d689979bcbb85cd366a2fc07fb634a9/icons/128x128/pymca_PyMca.png
    width: 128
    height: 128
  stock: PyMca
Launchable:
  desktop-id:
  - pymcapostbatch.desktop
Provides:
  mediatypes:
  - image/tiff
  - application/x-pymca-specfile
  - image/x-pymca-edf

edfviewer.desktop - 5.8.0+dfsg-2 ⚙ all

Icon
---
Type: desktop-application
ID: edfviewer.desktop
Package: pymca
Name:
  C: EDFviewer
Summary:
  C: Simple Viewer of ESRF Data Format files
Description:
  C: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
  en: >-
    <p>PyMca is set of applications and Python libraries for analysis of X-ray fluorescence spectra.</p>

    <p>The applications included in this package are:</p>

    <p> * 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</p>

    <p>The PyMca toolkit can read data files in SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA and SupaVisio formats.</p>

    <p>This are the scripts of the package.</p>
Categories:
- Science
- Education
- Physics
Icon:
  cached:
  - name: pymca_PyMca.png
    width: 64
    height: 64
  - name: pymca_PyMca.png
    width: 128
    height: 128
  remote:
  - url: e/ed/edfviewer.desktop/c17e0c3bff34aec3be895a9798fe71d2/icons/128x128/pymca_PyMca.png
    width: 128
    height: 128
  stock: PyMca
Launchable:
  desktop-id:
  - edfviewer.desktop
Provides:
  mediatypes:
  - image/x-pymca-edf