⇦ | pymca [main]
Last updated on: 2022-08-14 14:18 [UTC]

Metadata for pymca in main

elementsinfo.desktop - 5.7.2+dfsg-1 ⚙ all

Icon
---
Type: desktop-application
ID: elementsinfo.desktop
Package: pymca
Name:
  C: Elementsinfo
Summary:
  C: Display X-ray fluorescence related atomic properties
Description:
  it: >-
    <p>PyMca è un insieme di applicazioni e librerie Python per l&apos;analisi di spettri di fluorescenza a raggi X.</p>

    <p>Le applicazioni incluse in questo pacchetto sono:</p>

    <p> * edfviewer - visualizzazione e ispezione di file di dati in ESRF Data    Format;  * elementsinfo - visualizza dati
    di raggi X specifici di un elemento;  * mca2edf - converte un file dal formato SPEC MCA a EDF;  * peakidentifier - visualizza
    picchi di fluorescenza a raggi X in un dato    intervallo di energia;  * pymcabatch - fitting non interattivo di spettri; 
    * pymcapostbatch - post-elaborazione dei risultati del fitting non    interattivo;  * pymca - analisi interattiva dei
    dati;  * pymcaroitool - strumento per immagini Region-of-interest (ROI).</p>

    <p>Il toolkit PyMca può leggere file di dati nei formati SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA e SupaVisio.</p>

    <p>Questi sono gli script del pacchetto.</p>
  fr: >-
    <p>PyMca est un ensemble d’applications et de bibliothèques de Python pour l’analyse de spectre de fluorescence des rayons X.</p>

    <p>Les applications incluses dans ce paquet sont :</p>

    <p> – edfviewer : affichage et inspection de fichiers de données au                format de données ESRF ;  – elementsinfo :
    affichage de données de rayons X d’élément spécifique ;  – mca2edf : conversion des fichiers MCA SPEC vers EDF ;  – peakidentifier :
    affichage de pics de fluorescence X dans une gamme                     d’énergie donnée ;  – pymcabatch : ajustement par
    lot de spectre ;  – pymcapostbatch : post-traitement des résultats d’ajustement par lot ;  – pymca : analyse de données
    interactive ;  – pymcaroitool : outil de zone d’intérêt (ROI) d’imagerie.</p>

    <p>La boîte à outils PyMca peut lire les fichiers de données aux formats SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA
    et SupaVisio.</p>

    <p>Il s’agit des scripts du paquet.</p>
  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>
  da: >-
    <p>PyMca er et sæt af programmer og Pythonbiblioteker for analyse af røntgenfluorescens spektre.</p>

    <p>Programmerne inkluderet i denne pakke er:</p>

    <p> * edfviewer - vis og inspicer datafiler i ESRF-dataformatet  * elementsinfo - viser elementspecifikke røntgendata 
    * mca2edf - konverterer filer fra SPEC MCA-formatet til EDF  * peakidentifier - Viser røntgenfluorescens toppe i et givent   
    energiinterval  * pymcabatch - jobtilpasning af spektra  * pymcapostbatch - efterbehandling af jobtilpasningsresultater 
    * pymca - interaktiv dataanalyse  * pymcaroitool - billedværktøj til Region-of-interest (ROI)</p>

    <p>PyMca-værktøjssættet kan læse datafiler i formaterne SPEC, ESRF-datafil (EDF), OMNIC, HDF5, AIFIRA og SupaVisio.</p>

    <p>Dette er skripterne for pakken.</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 - 5.7.2+dfsg-1 ⚙ all

Icon
---
Type: desktop-application
ID: peakidentifier.desktop
Package: pymca
Name:
  C: Peakidentifier
Summary:
  C: Find the energy of X-ray spectral lines
Description:
  it: >-
    <p>PyMca è un insieme di applicazioni e librerie Python per l&apos;analisi di spettri di fluorescenza a raggi X.</p>

    <p>Le applicazioni incluse in questo pacchetto sono:</p>

    <p> * edfviewer - visualizzazione e ispezione di file di dati in ESRF Data    Format;  * elementsinfo - visualizza dati
    di raggi X specifici di un elemento;  * mca2edf - converte un file dal formato SPEC MCA a EDF;  * peakidentifier - visualizza
    picchi di fluorescenza a raggi X in un dato    intervallo di energia;  * pymcabatch - fitting non interattivo di spettri; 
    * pymcapostbatch - post-elaborazione dei risultati del fitting non    interattivo;  * pymca - analisi interattiva dei
    dati;  * pymcaroitool - strumento per immagini Region-of-interest (ROI).</p>

    <p>Il toolkit PyMca può leggere file di dati nei formati SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA e SupaVisio.</p>

    <p>Questi sono gli script del pacchetto.</p>
  fr: >-
    <p>PyMca est un ensemble d’applications et de bibliothèques de Python pour l’analyse de spectre de fluorescence des rayons X.</p>

    <p>Les applications incluses dans ce paquet sont :</p>

    <p> – edfviewer : affichage et inspection de fichiers de données au                format de données ESRF ;  – elementsinfo :
    affichage de données de rayons X d’élément spécifique ;  – mca2edf : conversion des fichiers MCA SPEC vers EDF ;  – peakidentifier :
    affichage de pics de fluorescence X dans une gamme                     d’énergie donnée ;  – pymcabatch : ajustement par
    lot de spectre ;  – pymcapostbatch : post-traitement des résultats d’ajustement par lot ;  – pymca : analyse de données
    interactive ;  – pymcaroitool : outil de zone d’intérêt (ROI) d’imagerie.</p>

    <p>La boîte à outils PyMca peut lire les fichiers de données aux formats SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA
    et SupaVisio.</p>

    <p>Il s’agit des scripts du paquet.</p>
  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>
  da: >-
    <p>PyMca er et sæt af programmer og Pythonbiblioteker for analyse af røntgenfluorescens spektre.</p>

    <p>Programmerne inkluderet i denne pakke er:</p>

    <p> * edfviewer - vis og inspicer datafiler i ESRF-dataformatet  * elementsinfo - viser elementspecifikke røntgendata 
    * mca2edf - konverterer filer fra SPEC MCA-formatet til EDF  * peakidentifier - Viser røntgenfluorescens toppe i et givent   
    energiinterval  * pymcabatch - jobtilpasning af spektra  * pymcapostbatch - efterbehandling af jobtilpasningsresultater 
    * pymca - interaktiv dataanalyse  * pymcaroitool - billedværktøj til Region-of-interest (ROI)</p>

    <p>PyMca-værktøjssættet kan læse datafiler i formaterne SPEC, ESRF-datafil (EDF), OMNIC, HDF5, AIFIRA og SupaVisio.</p>

    <p>Dette er skripterne for pakken.</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 - 5.7.2+dfsg-1 ⚙ all

Icon
---
Type: desktop-application
ID: pymca.desktop
Package: pymca
Name:
  C: PyMca
Summary:
  C: Analyse X-ray Fluorescence data
Description:
  it: >-
    <p>PyMca è un insieme di applicazioni e librerie Python per l&apos;analisi di spettri di fluorescenza a raggi X.</p>

    <p>Le applicazioni incluse in questo pacchetto sono:</p>

    <p> * edfviewer - visualizzazione e ispezione di file di dati in ESRF Data    Format;  * elementsinfo - visualizza dati
    di raggi X specifici di un elemento;  * mca2edf - converte un file dal formato SPEC MCA a EDF;  * peakidentifier - visualizza
    picchi di fluorescenza a raggi X in un dato    intervallo di energia;  * pymcabatch - fitting non interattivo di spettri; 
    * pymcapostbatch - post-elaborazione dei risultati del fitting non    interattivo;  * pymca - analisi interattiva dei
    dati;  * pymcaroitool - strumento per immagini Region-of-interest (ROI).</p>

    <p>Il toolkit PyMca può leggere file di dati nei formati SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA e SupaVisio.</p>

    <p>Questi sono gli script del pacchetto.</p>
  fr: >-
    <p>PyMca est un ensemble d’applications et de bibliothèques de Python pour l’analyse de spectre de fluorescence des rayons X.</p>

    <p>Les applications incluses dans ce paquet sont :</p>

    <p> – edfviewer : affichage et inspection de fichiers de données au                format de données ESRF ;  – elementsinfo :
    affichage de données de rayons X d’élément spécifique ;  – mca2edf : conversion des fichiers MCA SPEC vers EDF ;  – peakidentifier :
    affichage de pics de fluorescence X dans une gamme                     d’énergie donnée ;  – pymcabatch : ajustement par
    lot de spectre ;  – pymcapostbatch : post-traitement des résultats d’ajustement par lot ;  – pymca : analyse de données
    interactive ;  – pymcaroitool : outil de zone d’intérêt (ROI) d’imagerie.</p>

    <p>La boîte à outils PyMca peut lire les fichiers de données aux formats SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA
    et SupaVisio.</p>

    <p>Il s’agit des scripts du paquet.</p>
  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>
  da: >-
    <p>PyMca er et sæt af programmer og Pythonbiblioteker for analyse af røntgenfluorescens spektre.</p>

    <p>Programmerne inkluderet i denne pakke er:</p>

    <p> * edfviewer - vis og inspicer datafiler i ESRF-dataformatet  * elementsinfo - viser elementspecifikke røntgendata 
    * mca2edf - konverterer filer fra SPEC MCA-formatet til EDF  * peakidentifier - Viser røntgenfluorescens toppe i et givent   
    energiinterval  * pymcabatch - jobtilpasning af spektra  * pymcapostbatch - efterbehandling af jobtilpasningsresultater 
    * pymca - interaktiv dataanalyse  * pymcaroitool - billedværktøj til Region-of-interest (ROI)</p>

    <p>PyMca-værktøjssættet kan læse datafiler i formaterne SPEC, ESRF-datafil (EDF), OMNIC, HDF5, AIFIRA og SupaVisio.</p>

    <p>Dette er skripterne for pakken.</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 - 5.7.2+dfsg-1 ⚙ all

Icon
---
Type: desktop-application
ID: pymcaroitool.desktop
Package: pymca
Name:
  C: PyMca ROI tool
Summary:
  C: Region Of Interest imaging tool
Description:
  it: >-
    <p>PyMca è un insieme di applicazioni e librerie Python per l&apos;analisi di spettri di fluorescenza a raggi X.</p>

    <p>Le applicazioni incluse in questo pacchetto sono:</p>

    <p> * edfviewer - visualizzazione e ispezione di file di dati in ESRF Data    Format;  * elementsinfo - visualizza dati
    di raggi X specifici di un elemento;  * mca2edf - converte un file dal formato SPEC MCA a EDF;  * peakidentifier - visualizza
    picchi di fluorescenza a raggi X in un dato    intervallo di energia;  * pymcabatch - fitting non interattivo di spettri; 
    * pymcapostbatch - post-elaborazione dei risultati del fitting non    interattivo;  * pymca - analisi interattiva dei
    dati;  * pymcaroitool - strumento per immagini Region-of-interest (ROI).</p>

    <p>Il toolkit PyMca può leggere file di dati nei formati SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA e SupaVisio.</p>

    <p>Questi sono gli script del pacchetto.</p>
  fr: >-
    <p>PyMca est un ensemble d’applications et de bibliothèques de Python pour l’analyse de spectre de fluorescence des rayons X.</p>

    <p>Les applications incluses dans ce paquet sont :</p>

    <p> – edfviewer : affichage et inspection de fichiers de données au                format de données ESRF ;  – elementsinfo :
    affichage de données de rayons X d’élément spécifique ;  – mca2edf : conversion des fichiers MCA SPEC vers EDF ;  – peakidentifier :
    affichage de pics de fluorescence X dans une gamme                     d’énergie donnée ;  – pymcabatch : ajustement par
    lot de spectre ;  – pymcapostbatch : post-traitement des résultats d’ajustement par lot ;  – pymca : analyse de données
    interactive ;  – pymcaroitool : outil de zone d’intérêt (ROI) d’imagerie.</p>

    <p>La boîte à outils PyMca peut lire les fichiers de données aux formats SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA
    et SupaVisio.</p>

    <p>Il s’agit des scripts du paquet.</p>
  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>
  da: >-
    <p>PyMca er et sæt af programmer og Pythonbiblioteker for analyse af røntgenfluorescens spektre.</p>

    <p>Programmerne inkluderet i denne pakke er:</p>

    <p> * edfviewer - vis og inspicer datafiler i ESRF-dataformatet  * elementsinfo - viser elementspecifikke røntgendata 
    * mca2edf - konverterer filer fra SPEC MCA-formatet til EDF  * peakidentifier - Viser røntgenfluorescens toppe i et givent   
    energiinterval  * pymcabatch - jobtilpasning af spektra  * pymcapostbatch - efterbehandling af jobtilpasningsresultater 
    * pymca - interaktiv dataanalyse  * pymcaroitool - billedværktøj til Region-of-interest (ROI)</p>

    <p>PyMca-værktøjssættet kan læse datafiler i formaterne SPEC, ESRF-datafil (EDF), OMNIC, HDF5, AIFIRA og SupaVisio.</p>

    <p>Dette er skripterne for pakken.</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 - 5.7.2+dfsg-1 ⚙ all

Icon
---
Type: desktop-application
ID: pymcapostbatch.desktop
Package: pymca
Name:
  C: PyMca Postbatch
Summary:
  C: PyMca batch result analysis application
Description:
  it: >-
    <p>PyMca è un insieme di applicazioni e librerie Python per l&apos;analisi di spettri di fluorescenza a raggi X.</p>

    <p>Le applicazioni incluse in questo pacchetto sono:</p>

    <p> * edfviewer - visualizzazione e ispezione di file di dati in ESRF Data    Format;  * elementsinfo - visualizza dati
    di raggi X specifici di un elemento;  * mca2edf - converte un file dal formato SPEC MCA a EDF;  * peakidentifier - visualizza
    picchi di fluorescenza a raggi X in un dato    intervallo di energia;  * pymcabatch - fitting non interattivo di spettri; 
    * pymcapostbatch - post-elaborazione dei risultati del fitting non    interattivo;  * pymca - analisi interattiva dei
    dati;  * pymcaroitool - strumento per immagini Region-of-interest (ROI).</p>

    <p>Il toolkit PyMca può leggere file di dati nei formati SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA e SupaVisio.</p>

    <p>Questi sono gli script del pacchetto.</p>
  fr: >-
    <p>PyMca est un ensemble d’applications et de bibliothèques de Python pour l’analyse de spectre de fluorescence des rayons X.</p>

    <p>Les applications incluses dans ce paquet sont :</p>

    <p> – edfviewer : affichage et inspection de fichiers de données au                format de données ESRF ;  – elementsinfo :
    affichage de données de rayons X d’élément spécifique ;  – mca2edf : conversion des fichiers MCA SPEC vers EDF ;  – peakidentifier :
    affichage de pics de fluorescence X dans une gamme                     d’énergie donnée ;  – pymcabatch : ajustement par
    lot de spectre ;  – pymcapostbatch : post-traitement des résultats d’ajustement par lot ;  – pymca : analyse de données
    interactive ;  – pymcaroitool : outil de zone d’intérêt (ROI) d’imagerie.</p>

    <p>La boîte à outils PyMca peut lire les fichiers de données aux formats SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA
    et SupaVisio.</p>

    <p>Il s’agit des scripts du paquet.</p>
  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>
  da: >-
    <p>PyMca er et sæt af programmer og Pythonbiblioteker for analyse af røntgenfluorescens spektre.</p>

    <p>Programmerne inkluderet i denne pakke er:</p>

    <p> * edfviewer - vis og inspicer datafiler i ESRF-dataformatet  * elementsinfo - viser elementspecifikke røntgendata 
    * mca2edf - konverterer filer fra SPEC MCA-formatet til EDF  * peakidentifier - Viser røntgenfluorescens toppe i et givent   
    energiinterval  * pymcabatch - jobtilpasning af spektra  * pymcapostbatch - efterbehandling af jobtilpasningsresultater 
    * pymca - interaktiv dataanalyse  * pymcaroitool - billedværktøj til Region-of-interest (ROI)</p>

    <p>PyMca-værktøjssættet kan læse datafiler i formaterne SPEC, ESRF-datafil (EDF), OMNIC, HDF5, AIFIRA og SupaVisio.</p>

    <p>Dette er skripterne for pakken.</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 - 5.7.2+dfsg-1 ⚙ all

Icon
---
Type: desktop-application
ID: edfviewer.desktop
Package: pymca
Name:
  C: EDFviewer
Summary:
  C: Simple Viewer of ESRF Data Format files
Description:
  it: >-
    <p>PyMca è un insieme di applicazioni e librerie Python per l&apos;analisi di spettri di fluorescenza a raggi X.</p>

    <p>Le applicazioni incluse in questo pacchetto sono:</p>

    <p> * edfviewer - visualizzazione e ispezione di file di dati in ESRF Data    Format;  * elementsinfo - visualizza dati
    di raggi X specifici di un elemento;  * mca2edf - converte un file dal formato SPEC MCA a EDF;  * peakidentifier - visualizza
    picchi di fluorescenza a raggi X in un dato    intervallo di energia;  * pymcabatch - fitting non interattivo di spettri; 
    * pymcapostbatch - post-elaborazione dei risultati del fitting non    interattivo;  * pymca - analisi interattiva dei
    dati;  * pymcaroitool - strumento per immagini Region-of-interest (ROI).</p>

    <p>Il toolkit PyMca può leggere file di dati nei formati SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA e SupaVisio.</p>

    <p>Questi sono gli script del pacchetto.</p>
  fr: >-
    <p>PyMca est un ensemble d’applications et de bibliothèques de Python pour l’analyse de spectre de fluorescence des rayons X.</p>

    <p>Les applications incluses dans ce paquet sont :</p>

    <p> – edfviewer : affichage et inspection de fichiers de données au                format de données ESRF ;  – elementsinfo :
    affichage de données de rayons X d’élément spécifique ;  – mca2edf : conversion des fichiers MCA SPEC vers EDF ;  – peakidentifier :
    affichage de pics de fluorescence X dans une gamme                     d’énergie donnée ;  – pymcabatch : ajustement par
    lot de spectre ;  – pymcapostbatch : post-traitement des résultats d’ajustement par lot ;  – pymca : analyse de données
    interactive ;  – pymcaroitool : outil de zone d’intérêt (ROI) d’imagerie.</p>

    <p>La boîte à outils PyMca peut lire les fichiers de données aux formats SPEC, ESRF data file (EDF), OMNIC, HDF5, AIFIRA
    et SupaVisio.</p>

    <p>Il s’agit des scripts du paquet.</p>
  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>
  da: >-
    <p>PyMca er et sæt af programmer og Pythonbiblioteker for analyse af røntgenfluorescens spektre.</p>

    <p>Programmerne inkluderet i denne pakke er:</p>

    <p> * edfviewer - vis og inspicer datafiler i ESRF-dataformatet  * elementsinfo - viser elementspecifikke røntgendata 
    * mca2edf - konverterer filer fra SPEC MCA-formatet til EDF  * peakidentifier - Viser røntgenfluorescens toppe i et givent   
    energiinterval  * pymcabatch - jobtilpasning af spektra  * pymcapostbatch - efterbehandling af jobtilpasningsresultater 
    * pymca - interaktiv dataanalyse  * pymcaroitool - billedværktøj til Region-of-interest (ROI)</p>

    <p>PyMca-værktøjssættet kan læse datafiler i formaterne SPEC, ESRF-datafil (EDF), OMNIC, HDF5, AIFIRA og SupaVisio.</p>

    <p>Dette er skripterne for pakken.</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